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Best Twitter Scraper Tools: Top 5 Picks for 2026 - The GTM with Clay Blog

Claygent Builder: The easiest way to build, test, and deploy GTM Agents

Build production-ready Claygents in natural language with Sculptor. Test on real data for free, track versions, and deploy once across every workflow. All inside Clay.

How Clay Uses Clay Ads: From $250 to $25 CPL

See how Clay uses its own Ads feature to cut LinkedIn CPL from $250 to $25 and unlock Meta with enriched CRM audiences. No manual uploads needed.

HG Insights Corporate Hierarchy: GTM Precision in Clay

Use HG Insights corporate hierarchy data in Clay to clean CRMs, map parent-child accounts, and trigger expansion plays. See how it works.

Sales GTM Engineering: How Clay Built the Role From Scratch

Learn what sales GTM engineering is, how it collapses SDR, AE, and SE roles into one, and how Clay built and hires for this high-leverage function. See how it works.

How to Automate Inbound Lead Outreach: The Clay Playbook

Learn how to automate inbound lead outreach with enrichment, scoring, and personalized sequences. See the exact Clay workflow that runs without manual work.

demandDrive Joins Clay’s Partner Ecosystem as an Official Clay Studio Partner

demandDrive joins Clay’s partner ecosystem to help B2B teams turn account intelligence into pipeline and revenue with GTM engineering and automation.

B2B Sales Prospecting: 15 Strategies to Drive More Conversions

Master B2B sales prospecting with 15 proven strategies covering ICP building, multi-channel outreach, and list hygiene. Build a pipeline that converts.

AI Sales Assistants: 11 Ways to Accelerate Your Outbound

Discover 11 ways AI sales assistants automate lead research, enrichment, and email personalization. See how top B2B teams use them to accelerate outbound.

The Three Laws of GTM: How to Win in the AI Era

The three laws of GTM explain why uniqueness, saturation, and iteration speed determine who wins. Learn how AI changes the rules and what to do about it.

Best Work Email Finders by Segment: SMB vs. Enterprise

We tested 12 email finders across 4,700+ contacts to find the best work emails by segment. See accuracy, cost, and coverage winners for SMB and enterprise.

How Clay Converts Trial Users Into Customers With Automated Outreach

See how Clay uses automated outreach to convert trial users into customers, with enrichment, lead scoring, and personalized HubSpot campaigns. Learn how.

Best Mobile Phone Data Providers for B2B Sales Teams

We tested 9,806 numbers across 10 B2B mobile phone data providers. See which wins on accuracy, coverage, and cost for NAMER, EMEA, and APAC.

How to Build a Complete AI Outbound Sales Funnel

Learn how to build a complete AI outbound sales funnel—from account scoring to personalized outreach—using Clay waterfalls and automation. See how it works.

How to Get More Customers Using Outbound Sales: A Complete Guide

Learn how outbound sales works, who it's right for, and how to build a strategy from prospecting to closing. Covers cold calling, email, and more.

How to Automate 6 Cold Email Campaigns in One Clay Workflow

Learn how to automate 6 cold email campaigns from a single Clay table — with enrichment, AI classification, and deduplication built in. See how it works.

How Clay Identifies Tier 1 Accounts: A Three-Score System

See how Clay identifies tier 1 accounts using a three-score system: fit, engagement, and contract value. Learn how sales and marketing align on the same priorities.

Lead Scoring in Clay: A Step-by-Step Formula Guide

Learn how to build lead scoring formulas in Clay to prioritize your ICP leads by employee count, job postings, and more. See how it works.

How to Validate Cold Outbound Offers and Find Message-Market Fit

Learn how to validate cold outbound offers by finding message-market fit — from breaking down your value prop to testing with a phased email approach. See how it works.

Troubleshooting Outbound Sales and Prospecting: A Comprehensive Guide

Fix broken outbound sales campaigns with this guide. Diagnose open and reply rates, reduce no-shows, qualify prospects with MEDDIC, and optimize what's working.

Bulk Enrichment: Enrich Millions of CRM Records in Clay

Bulk enrichment lets Enterprise teams enrich millions of Salesforce records with firmographics, tech stack, and AI research — then write results back automatically.

Clay Templates: Automate, Customize, and Replicate Any GTM Workflow

Clay Templates let you replicate full GTM workflows in hours, not days. Automate prospecting from data scraping to AI messaging, free and fully customizable.

How to Optimize Your Credit Usage in Clay

Learn how to optimize your credit usage in Clay with conditional formulas, Clearbit waterfall lookups, and smarter enrichment workflows. Save credits fast.

AI for sales prospecting

Learn about how to use AI for sales prospecting in this comprehensive guide, including framework for creating AI prompts and examples of cold email templates using AI that real sales teams have used successfully to land clients. AI sales prospecting can save your team thousands of hours—and double or triple your positive response rates.

The Reverse Demo: How Clay Replaced Traditional B2B Sales Demos

A reverse demo lets prospects solve real problems live, guided by your rep. Learn how Clay used 100+ sessions to boost conversion, retention, and product quality.

Data Waterfalls: How to Maximize Contact Coverage with Clay

Data waterfalls query multiple providers in sequence so you only pay for matches. See how Clay pushes coverage from 30% to 80%+ without annual contracts.

How Clay Runs ABM Campaigns: A Step-by-Step Playbook

See how Clay runs ABM campaigns — scoring 300 accounts, personalizing mailers and landing pages, and automating SDR follow-up. Learn how.

How We Built Clay's GTM Engineering Function

See how Clay built its GTM engineering function with sprint-based delivery, founder-level reporting, and full sales automation. A practical inside look.

Best Personal Email Finder Tools: Tested and Ranked

We tested 5 personal email finder tools across 2,354 prospects. See accuracy, coverage, and pricing data — plus the waterfall order that hit 79% coverage.

How to Use OpenAI to Write Cold Emails from Scratch with Clay

Learn how to use OpenAI to write personalized cold emails at scale with Clay. Set up the integration, craft better prompts, and boost deliverability.

How to Run a Personalized Demo Play at Scale with Clay

Learn how to automate a personalized demo play using Clay, Claygent, and AI enrichment to build custom mockups at scale. See how it works.

Automated Slide Deck Creation: How Clay Builds QBRs from Your Data

Clay's automated slide deck creation pulls from Snowflake, Salesforce, and Gong to build QBRs in minutes. Save 90+ hours per quarter. See how it works.

HG Insights + Clay: B2B Technographic and Firmographic Data

HG Insights surfaces deep technographic and firmographic data from billions of documents. Use it in Clay workflows to enrich accounts and power GTM. See how it works.

B2B Cold Email Deliverability: 21 Best Practices

Master B2B cold email deliverability with 21 proven best practices: domain setup, inbox warmup, authentication, and copy tips that keep you out of spam. Learn how.

Basics of Google Search Operators: A Practical Guide

Learn the basics of Google Search Operators and how to use them in Clay for prospecting, list building, and company research. See how it works.

AI Lead Generation: The Complete B2B Guide

Learn how AI lead generation automates list building, enrichment, and personalized outreach for B2B teams. Scale your pipeline without scaling headcount. See how it works.

Clay MCP: Ops-built workflows, consumable by reps

Clay MCP: Ops-built workflows, consumable by reps

How to Manage and Enrich Inbound Leads Automatically

Learn how to manage and enrich inbound leads automatically using a four-phase workflow that scores, segments, and triggers outreach from one email. See how it works.

GTM Alpha: How Winning Teams Build a Competitive Edge

GTM alpha is the edge winning teams build with unique data and signal-based plays. Learn how to find hidden signals, run better plays, and outpace competitors.

Why Good CRM Data Matters and How Clay Helps

Poor CRM data kills outreach. Learn why CRM data coverage fails and how Clay's waterfall enrichment lifts coverage rates from 20% to 80%. See how it works.

How to Use Formulas in Clay: AI Generator and Manual Entry

Learn how to use formulas in Clay with the AI Formula Generator or manual entry. Transform and clean your data faster. See how it works.

GTM Engineering: What It Is, How It Works, and How to Hire

GTM engineering turns ops teams into revenue builders using AI and automation. Learn what GTM engineers do, how to structure the role, and how to hire one.

Formulas in Clay: A Beginner's Intro for Non-Engineers

Learn how to use formulas in Clay without coding. This intro covers conditional statements, combining columns, and auto-qualifying leads. Start in 30 minutes.

How Clay Uses Clay for SEO and AEO: 3 Systems That Scale

See how Clay uses Clay for SEO and AEO: automated content refresh, video-to-page conversion, and a custom AI visibility dashboard. Learn how.

Turn Web Visitors into Leads: A Warm Outbound Play for B2B Sales

Learn how to turn web visitors into leads using a warm outbound play for B2B sales — with RB2B, Clay, and Lemlist. See how it works.

How to Use Web Scraping to Enrich Your Data with Clay

Learn how to use web scraping to enrich your data without code. Clay's Claygent answers deep GTM research questions at scale. See how it works.

How to Create a Sales Prospect List in Minutes

Learn how to create your own sales prospect list in minutes using Clay. Pull from 40+ sources, enrich with ICP data, and export to your CRM. See how it works.

Best B2B Email List Providers: Tested and Ranked (2026)

We tested 8 B2B email list providers head-to-head. See accuracy results, per-email pricing, and how to waterfall providers for maximum coverage.

Outbound Sales Automation: How to 10x Pipeline Without More SDRs

Learn how outbound sales automation replaces manual SDR work, cuts cost per email by 100x, and scales pipeline without growing headcount. See how it works.

The Wake the Dead Play: Reactivate Closed-Lost Deals with Clay

The wake the dead play uses Clay + ChatGPT to send automated, personalized emails to closed-lost prospects. Restart stalled deals in a few steps. Learn how.

Three Tips to Guarantee Email Deliverability for Cold Outbound

Split volume, verify contacts, and personalize copy to guarantee email deliverability for cold outbound. Three actionable tips that keep you out of spam.

How Clay Uses Clay for Customer Support: 3 Real Workflows

See how Clay's customer support team uses Clay to enrich Intercom tickets, automate QA, and draft help articles. Real workflows, real results.

B2B Cold Email Copywriting: The Complete Guide

Master B2B cold email copywriting with proven templates, a research framework, and a checklist used to send 800k+ emails a month. Start writing emails that get replies.

Introducing Clay Functions

Build Your GTM Logic Once, Apply It Everywhere

Clay and Apollo Integration: Enrichment, Sequencing, and More

The Clay and Apollo integration unlocks 5X faster enrichment and direct sequencer API access. See how joint customers go from data to booked meetings.

The Many Lives of Spreadsheets: A History and What Comes Next

Explore the many lives of spreadsheets — from VisiCalc in 1979 to self-filling automation tools today. See how the no-code vision keeps evolving.

AI recruiting strategies

Learn our top AI recruiting workflows to help you identify, research, and reach out to qualified candidates for open roles. AI can eliminate manual work and help you reach out to—and land—better employees for your clients.

How to Hire a GTM Engineer: The Complete Guide

Learn how to hire a GTM engineer: when to make the hire, what skills to screen for, red flags to avoid, and where to find the best candidates. See how it works.

Inside Clay's GTM Engineering Lab: Plays, Principles, and Automation

See how Clay's GTM engineering lab turns internal problems into revenue plays using AI, automation, and data-driven principles. Learn how it works.

How to Build the Most Targeted Account Lists Possible

Generic tools leave bad-fit companies in your account list. Learn how to build targeted account lists using AI enrichment and real workflow examples in Clay.

Personalized Direct Mail at Scale: The Gifting Play with Clay

Learn how to run personalized direct mail campaigns using Clay — validate contacts, generate AI gift copy, and export to email. See how it works.

How to Set Up Your Full Inbound Sales Process on Clay

Learn how to set up your full inbound sales process on Clay — enrich leads, tag MQLs, and automate email campaigns from form to demo. See how it works.

AI-Enabled GTM for Private Equity: The Value Creation Playbook

Learn how AI-enabled GTM for private equity drives value creation across portfolios—from data quality to agentic workflows. See how it works.

Do More With Your Data: Clay's Post-Data-Provider Approach

Clay's post-data-provider approach combines 150+ providers, waterfall enrichment, and AI scraping to maximize data coverage. See how it works.

Google Maps Lead Generation for Niche Local Businesses

Learn how to use Google Maps lead generation to find niche local businesses, enrich owner contacts, and send personalized outreach at scale with Clay.

24 AI Email Personalization Examples for Cold Outreach (With Prompts)

Get 24 AI email personalization examples for cold outreach, with ChatGPT prompts you can run at scale in Clay. Learn how to write emails that actually convert.

How to Ace Your Follow-Ups: A Practical Sales Guide

Learn how to ace your follow-ups with value-driven outreach, personalization tips, multi-channel tactics, and automation tools that keep deals moving. See how it works.

How to Prioritize Your Waitlist with Lead Enrichment

Learn how to prioritize your waitlist using lead enrichment. Turn raw signups into qualified leads by company, title, and role — no long forms needed. See how.

B2B Cold Email Templates: Frameworks That Get Replies

Learn how to write B2B cold email templates that convert with a proven 5-part framework, follow-up strategy, and real examples. See how it works.

Audiences: now in Enterprise beta

Clay Audiences unifies your CRM, product data, and intent signals into one layer — so reps and agents can run precise, personalized GTM plays at scale.

The thinking behind our new pricing: our internal memo

Clay pricing memo: INTERNAL

Introducing Clay’s new pricing

Today, we’re launching a pricing update that reduces data costs, and simplifies and improves the value of our plans. Our goal is to have Clay be your default tool for GTM Engineering.

Clay partners with Lusha and Beauhurst to expand European data coverage

Lusha adds lookalike prospecting, contact enrichment, and signals in EMEA. Beauhurst adds private funding and corporate structure data in the UK and Germany.

Source your precise TAM from lookalikes you can trust with Ocean.io and Clay

Clay + Ocean now enable preview-based B2B lookalike discovery. Preview leads before committing credits and expand your TAM with greater precision.

Clay doubles down on supporting European GTM teams

Clay's waterfall enrichment delivers 2–3x more mobile phone coverage than leading solo providers across Europe. Plus new data partnerships, a London office, and timezone-aligned support.

In Nigeria, she built a life where money wouldn’t decide

Clay blog | In Nigeria, she built a life where money wouldn’t decide

Sculptor Analyst Mode: Turning Context-Rich Data Into Actionable GTM Insights

Gather business intelligence and share documents of this analysis directly from Sculptor

In a place where girls often choose between career or marriage, she carved her own path 

Javeria Shah won the Clay Cup 2025 despite being denied a US visa and competing remotely from Pakistan. Learn how she transitioned from electronics engineering into GTM engineering and built her own business.

How we designed Sculpt

Our first conference, Sculpt, is where the analog soul of Clay met the digital mind of Clay.

Clay announces second employee tender offer in nine months at a $5B valuation

A rare repeat employee liquidity event, designed to give builders flexibility as Clay accelerates

Clay is now available as a connector in Claude

Bring Clay's contact databases, enrichment providers, and AI agents into your Claude workflow.

Sellers have a new AI edge: Clay in ChatGPT

Use Clay directly in ChatGPT to find the right buyers, research people and companies, and draft personalized outbound. One conversation, powered by live GTM data.

Clay reaches $100M ARR

Clay has crossed $100M ARR, growing from $1M to $100M in two years after six years of foundational product work. The milestone reflects durable customer adoption, efficient growth, and an ecosystem of GTM builders using Clay to power their business.

Clay Certifications: Turning mastery into credentials that matter

The Clay education team has built a certification program that runs entirely on Clay and gives users credentials that actually matter

Mobile Phone Verification Methodology

Clay has partnered with The Kiln to setup a series of large-scale data test across mobile phone, work email, personal email, email verification, and more. Below, we explain the approach to these tests.

Work Email Verification Methodology

Clay has partnered with The Kiln to setup a series of large-scale data test across mobile phone, work email, personal email, email verification, and more. Below, we explain the approach to these tests.

Stop Guessing, Start Analyzing: How Sculptor Turns Your GTM Data Into Your Competitive Advantage

Analyze your GTM data with Sculptor to turn fragmented information into actionable insight.

Find and outreach local businesses with Openmart and Clay Sequencer

Get the right contacts for local businesses without stitching together multiple tools or wasting valuable time on setup instead of selling.

Announcing Web Intent

Use Website Intent in Clay to see which companies visit your site, track engagement, and trigger personalized GTM plays. Turn website traffic into real buyer intent data.

How Clay Uses Clay: Conversational Data

How we use Clay to mine millions of pages of call transcripts to generate revenue, and how you can use it too.

Sculpting GTM’s future with six major launches

Today at Sculpt, we're launching six major features that will help teams turn any growth idea into reality faster.

Introducing Claygent Navigator

A new Claygent model that can use a browser to take actions and extract information from webpages.

Announcing the Clay Partner Program

The Clay Partner Program is to a partner, what a toolbox is to an artist. It keeps essential resources within reach and grows more sophisticated as your expertise develops. We've designed everything around one simple principle: helping you grow your business as Clay grows.

Introducing GPT-5 in Claygent: sharper research, stronger formulas, better outbound

GPT-5 is now a model option across Clay, bringing the best research and conversational writing we've ever shipped to your GTM workflows.

Clay Series C announcement. The GTM engineering era begins now

We raised a $100M Series C at a $3.1B valuation to power GTM engineering!

Claygent surpasses 1 billion runs

The world's most loved AI research agent in GTM has passes a huge milestone at 1 billion runs.

Announcing Sculpt: Clay’s first annual user conference

Join us for Sculpt, Clay’s first annual user conference on Sept 17 in San Francisco where GTM leaders build AI workflows, share creative tactics, and get early access to new features.

Announcing custom signals at Clay

Clay's new custom signals platform helps sales teams track unique data changes that indicate buying opportunities. Turn any data point into a sales signal, enrich with context, and automate personalized outreach to find GTM alpha your competitors miss.

Clay announces employee tender offer led by Sequoia at $1.5B valuation

Clay allows employees to sell vested shares for immediate liquidity through a $20M tender offer at a $1.5B valuation. With 10x revenue growth in 2022-2023 and serving 8,000+ customers including OpenAI and Hubspot, Clay continues to change how businesses approach go-to-market strategies with their AI agent Claygent.

Create personalized presentations at scale with Clay and Google Slides

Automate personalized sales decks with Clay’s Google Slides integration. Instantly generate tailored presentations for leads, customers, QBRs, and internal updates. Use one template to create hundreds of presentations at scale.

Turn Gong conversations into automated GTM workflows

Clay now integrates with Gong—turn messy call transcripts into powerful automations in Salesforce, HubSpot, Notion, Slack, Google Sheets, and 100+ other integrations.

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Best Twitter Scraper Tools: Top 5 Picks for 2026

A well-equipped scraper can extract data points like tweets, hashtags, and user information at scale, making it the most effective way to collect public data from X, commonly referred to by its previous name, Twitter.

While effective, automated Twitter scraping can be a fast way to get your account blocked, depending on your scraping habits and the tool you choose. To help you scrape ethically and efficiently, this guide will review the top five Twitter scrapers, discussing their features, user reviews, and prices. 🧑‍⚖️

TL;DR

  • Scraping Twitter is legal for public data but can violate Twitter's terms of service, so choosing a tool that supports ethical scraping matters.
  • The five best Twitter scrapers are Clay, Apify, PhantomBuster, Bright Data Web Scraper APIs, and WebAutomation, each suited to different technical skill levels and use cases.
  • Clay is the strongest option for non-technical users who also need data enrichment: it requires no coding, includes an AI web scraper (Claygent), a Chrome extension, and native Twitter integrations.
  • Your choice should come down to coding skills, team size, and whether you need enrichment features beyond raw scraping.

Is It Legal To Scrape Twitter?

While scraping public data from the web is generally legal, scraping Twitter may not be, depending on the type of data you scrape and how you do it.

According to most data protection regulations, it's illegal to scrape:

  • Personal information, such as emails, without the owner's permission
  • Copyrighted data if your usage doesn't meet the criteria for fair use 
  • Still, scraping public data can also lead to legal action if done against Twitter's terms of service which forbid all forms of scraping without permission. Once you create a Twitter account and accept its terms, you're liable for any misuse of the platform.

    As of September 2023, Twitter put a ban on scraping in an attempt to better protect user privacy. Now, it implements measures like CAPTCHA challenges and rate limiting to prevent unauthorized data extraction.

    While many Twitter scrapers can circumvent these measures, if you want to scrape ethically, you can use Twitter's official API. It complies with the terms and provides access to structured data but limits the number of requests you can make over a period, making it less effective

    If you still want to use a scraper, consider a tool that promotes ethical scraping and offers other data providing features for the best coverage.

    💡 Bonus read: Find out how to scrape emails from Facebook or Instagram.

    How We Chose the Best Twitter Scraper

    To choose the best Twitter scraper tools without bias, our team adopted a unique approach that involved:

  • First-hand testing dozens of Twitter scraping tools to assess their strengths and weaknesses 🧪 
  • Consulting our network of industry experts and influencers for their opinions on each Twitter data scraping tool 🤝 
  • Analyzing user reviews on major platforms, such as G2, Capterra, and Product Hunt, to get a wider picture of each solution 🔎 
  • Still, not all tools may align with your unique needs, so consider the following factors to make an informed decision:

    Best Twitter Scrapers: Our Top 5 Picks

    With these factors in mind, here's the list of our top five Twitter scraping tools:

  • Clay
  • Apify
  • PhantomBuster
  • Bright Data Web Scraper APIs
  • WebAutomation
  • 1. Clay

    Source: Clay

    Clay is a comprehensive data enrichment and sales automation platform with numerous scraping capabilities that can extract data from Twitter as easily as any other website. It lets you scrape Twitter through:

    As a data enrichment platform, Clay offers over 100 integrations to help you get any hard-to-scrape data points. Without ever leaving Clay, you can scrape ethically without risking a ban or legal action. Through its integrations, you can:

  • Find account details: Scrape data points like name, location, profile image, retweeted tweets from a username or profile URL
  • Get popular tweets: Scrape a user's most popular tweets only given their username 
  • Get tweet details: Extract data points like name, status, profile image, following, followers count, and other details from an ID
  • Source: Clay

    If you want to scrape live Twitter data, you can use the Sources feature to extract the following data points:

  • Twitter followers: Stream in followers of any account directly into a Clay table
  • Twitter following: Extract a list of accounts that a Twitter user is following
  • Twitter mentions: Pull in profiles of replies and mentions for any Twitter thread
  • If you want to use the power of AI to scrape, you do that through Claygent, an AI web scraper that can visit any website and extract data in minutes. It works similarly to ChatGPT, so scraping Twitter is as easy as giving it a prompt or asking it a question. It will visit a public Twitter account, extract the data points, and deliver them in a Clay table in no time.

    To scrape specific pages as you browse, use the intuitive Chrome extension. All you have to do is download it, open a public page you want to scrape, run the extension, and save the results to your Clay table. ⚡

    Source: Clay

    While the platform offers a range of data scraping templates, there isn't one specifically tailored to Twitter. Still, after scraping data and getting your base information, you can use the available templates to enrich your data points.

    In terms of pricing, Clay offers flexible and transparent pricing with a free-forever plan and a 14-day free trial on all paid plans that include:

  • Launch: $185/month
  • Growth: $495/month
  • Enterprise: Custom
  • ✔️ No coding required

    ✔️ Integrations for ethical scraping

    ✔️ Intuitive Chrome extension

    ✔️ AI web scraper

    ✔️ Data enrichment features

    2. Apify

    Source: Apify

    Apify is a full-stack platform that lets developers build reliable web scrapers (Actors) in Python, JavaScript, and TypeScript and publish them in the Apify Store. There are over 1,500 ready-made Actors, including dozens of Twitter scraper tools, such as:

  • Twitter Scraper: Searches public tweets and extracts user and tweet information
  • Twitter Profile: Scrapes all public data from a Twitter profile
  • Twitter URL Scraper: Scrapes user and tweet information and tweet statistics
  • Twitter Comments Scraper: Extracts Twitter comments and users from a tweet URL
  • For more tech-savvy users who want to build a custom Actor, there are dozens of web scraping templates and libraries like Puppeteer, Selenium, Playwright, and Crawlee. ⌨️

    You don't have to worry about detection when using Apify Actors. The platform's large pool of datacenter and residential proxies and smart IP rotation features keep your activities off Twitter's radar. 📡

    After scraping, you can store your results in the cloud or export them to a CSV, JSON, Excel, RSS, XML, or HTML file. The platform also supports numerous integrations, so you can push files to your favorite web apps and cloud services. ☁️

    As far as pricing goes, Apify offers a "free" plan that requires a one-time payment of $5 and four paid plans. The paid plans have a pay-as-you-go model but require a monthly prepaid subscription:

  • Starter: $49/month
  • Scale: $499/month
  • Business: $999/month
  • Enterprise: Custom
  • In terms of potential drawbacks, several user reviews mention its high pricing. According to them, it is more expensive than other scrapers. It also has a steep learning curve, so non-technical users may find it challenging to use.

    ✔️ Dozens of ready-made Twitter scrapers

    ✔️ Numerous code templates for developers

    ✔️ Multiple file-format export options

    ✔️ Datacenter and residential proxies 

    ❌ Steep learning curve

    ❌ High pricing

    3. PhantomBuster

    Source: PhantomBuster

    PhantomBuster is a no-code automation platform that offers hundreds of ready-made automations called Phantoms. They include several options for scraping Twitter, such as:

  • Twitter Follower Collector: Extracts a list of users' followers
  • Twitter Profile Likes Extractor: Scrapes tweets liked by specific Twitter accounts
  • Twitter Profile Scraper: Collects all the data available on Twitter profiles, including name, handle, Tweets, likes, and followers
  • Each Phantom automates a single scraping task, but you can chain them or use Flows to automate sequences of actions. 🤖

    To use a Phantom, you only need to provide a Twitter URL or a link to a publicly accessible Google Sheet with a list of target URLs and set the Phantom to run once or on a recurring schedule.

    After scraping, you can leverage the platform's enrichment solutions to refine your results before exporting them into a CSV or JSON file. 📂

    In terms of pricing, PhantomBuster offers a 14-day free trial and three pricing plans:

  • Starter: $69/month
  • Pro: $159/month
  • Team: $439/month
  • That said, some people mention that some of the Phantoms are laggy and don't work properly and can deliver inaccurate results. 🥱

    ✔️ Ready-made Twitter scraping solutions

    ✔️ No coding required

    ✔️ Lead enrichment features

    ✔️ Lead outreach solutions

    ❌ Inaccurate results

    ❌ Laggy Phantoms

    💡 Pro tip: Take advantage of Clay's PhantomBuster integration and pull all extracted data for easy enrichment.

    4. Bright Data Web Scraper APIs

    Source: Bright Data

    If you can code and want to scrape Twitter ethically, Bright Data can be an excellent choice. It is a data collection platform that provides various web scraping tools and services, including a set of Web Scraper APIs for extracting data from the most popular websites. 🧑‍💻

    Among the APIs is a Twitter Scraper API that can collect all publicly available data points from Twitter, including likes, followers, posts, and hashtags. It delivers structured results in JSON, CSV, or NDJSON file formats through Webhook or API delivery. 

    While the platform complies with data protection laws like the CCPA and GDPR, the API is still equipped with features to prevent Twitter from blocking you, including:

  • Automatic IP rotation: Leverages Bright Data's extensive proxy networks to access geo-restricted content and remain anonymous
  • CAPTCHA Solver: Circumvents anti-scraping measures to minimize interruptions
  • You can test the Web Scraper API through a free trial, and if you like it, upgrade to the pay-as-you-go plan. It starts at $0.01 per record and is based on the number of records and domain type. 📃

    In terms of drawbacks, we have to mention the rigid pricing plan. It relies on a pay-as-you-go model, which can be challenging to budget for due to fluctuating expenses. Ease-of-use can be another problem as some users mention that the dashboard is complex and needs improvement.

    ✔️ Has extensive proxy networks

    ✔️ Circumvents anti-scraping measures

    ✔️ Complies with data protection laws

    ✔️ Has high-quality datasets available

    ❌ Fixed pricing plan

    ❌ Complex dashboard

    5. WebAutomation

    Source: WebAutomation

    WebAutomation is a cloud scraping platform that offers hundreds of ready-made extractors for collecting data from popular websites without writing code. 🧑‍💻

    Among them is the Twitter Profile Scraper, an extractor that can scrape all tweets, retweets, and replies from a Twitter profile and export them as CSV, XLXS, or JSON files.

    If you need a custom Twitter scraper, you can build it using the intuitive point-and-click interface or request one of WebAutomation's experts to build it for you. You can also skip running the scraper altogether by requesting the experts to build a full dataset for you or purchasing one from the platform's marketplace. 💸

    WebAutomation offers a 14-day free trial or pay-as-you-go plan that costs $1 per 1,000 data credits for people who want to test its features. If you'd like to commit, there are five pricing plans to choose from:

  • Project: $99/month
  • Startup: $249/month
  • Business: $449/month
  • Corporate: $999/month
  • Enterprise: $1,000+/month
  • Still, a user mentions that the UI is confusing, so the platform can be difficult to navigate. Another disadvantage, according to a few users, is the limited number of ready-made extractors, which means you may not find a tool tailored to your specific needs.

    ✔️ Ready-made plug-and-play scraping

    ✔️ No coding required

    ✔️ Flexible pricing

    ✔️ High-quality datasets available

    ❌ Needs more ready-made extractors

    ❌ Confusing navigation

    Which Twitter Scraper Should You Choose?

    All the Twitter scrapers in our list can help you extract the data you want, so your choice should be based on your needs and preferences. The factors we highlighted at the beginning of the article can help you make an informed decision, but to ensure you choose the right tool, consider:

  • ✅ Your coding skills: Not all tools are ready-made and no-code. Unless you're a developer or have advanced coding skills, choose a tool that doesn't require writing code
  • ✅ The size of your team: Consider the number of people using the scraper. If you have a large team, avoid tools with pay-as-you-go pricing models as the costs can add up quickly
  • ✅ Reasons for scraping: If you are scraping for lead generation, choose a tool that offers robust enrichment features for detailed and accurate prospect information
  • If you're looking for an easy-to-use, ready-made solution with advanced data providing and enrichment features, Clay is a no-brainer. 🧠

    With Clay, you get next-level web scraping features without writing a line of code, flexible and convenient pricing, and options for data enrichment and email drafting.

    Support Your Scraping Projects With Clay

    Clay is the Swiss Army knife of data scraping. It features a Chrome extension, an AI web scraper, several templates, and numerous integrations that can help you scrape Twitter without writing code. 💪

    The platform integrates with over 60 data providers, giving you unlimited data access without purchasing dozens of subscriptions. You can leverage the integrations to:

  • Skip the scraping process: If you don't want to manage a scraper, Clay can handle the entire process in the back end and deliver the data you need in no time
  • Enrich your data: You can use the dozens of databases to clean, validate, and fill gaps 
  • Source: Clay

    To enrich your data, Clay uses a process called waterfall enrichment to search across data providers sequentially. All you have to do is choose the data providers you want and customize their order, and Clay will go over them one by one until it finds the info you need. This lets you maximize coverage without increasing costs as you only pay for successful searches. 💰

    With all these features, it is not a surprise that many sales and marketing pros love Clay. See what a user had to say about it:

    Source: Product Hunt

    Frequently Asked Questions

    Is it legal to scrape data from Twitter (X)?

    Scraping public data from the web is generally legal, but scraping Twitter may not be, depending on what you scrape and how. Twitter's terms of service forbid all forms of scraping without permission, and data protection regulations make it illegal to scrape personal information like emails without consent. Using Twitter's official API is the safest compliant option.

    What data can you scrape from Twitter?

    Publicly available data points include tweets, retweets, replies, likes, follower counts, following lists, hashtags, profile images, and user handles. Tools like Clay's native integrations let you pull account details, popular tweets, and tweet-level metadata directly into a Clay table.

    Why scrape Twitter instead of using the official API?

    Twitter's official API complies with the platform's terms but limits the number of requests you can make over a given period, making it less effective for large-scale data collection. Scrapers can collect data at higher volumes, though they carry more legal and account-ban risk if not used carefully.

    Do Twitter scrapers get blocked?

    Twitter uses CAPTCHA challenges and rate limiting to detect and block unauthorized scraping. Many tools address this through proxy rotation and CAPTCHA solvers. Bright Data, for example, includes automatic IP rotation and a CAPTCHA Solver. Using a tool with ethical scraping integrations, like Clay, reduces the risk of getting blocked.

    Create a Clay Account

    Create a free Clay account in three quick steps:

  • Visit the signup page 👈
  • Enter your name, email, and password
  • Explore Clay's features
  • If you want to learn more about Clay, visit Clay University for product walkthroughs or join the Slack community to see how other pros are using it. For more interesting content, sign up for the newsletter and get the latest updates, news, and useful tips.

    💡 Bonus Read: Want to discover the best scrapers for social media platforms? Check out these detailed guides:

    A well-equipped scraper can extract data points like tweets, hashtags, and user information at scale, making it the most effective way to collect public data from X, commonly referred to by its previous name, Twitter.

    While effective, automated Twitter scraping can be a fast way to get your account blocked, depending on your scraping habits and the tool you choose. To help you scrape ethically and efficiently, this guide will review the top five Twitter scrapers, discussing their features, user reviews, and prices. 🧑‍⚖️

    TL;DR

    • Scraping Twitter is legal for public data but can violate Twitter's terms of service, so choosing a tool that supports ethical scraping matters.
    • The five best Twitter scrapers are Clay, Apify, PhantomBuster, Bright Data Web Scraper APIs, and WebAutomation, each suited to different technical skill levels and use cases.
    • Clay is the strongest option for non-technical users who also need data enrichment: it requires no coding, includes an AI web scraper (Claygent), a Chrome extension, and native Twitter integrations.
    • Your choice should come down to coding skills, team size, and whether you need enrichment features beyond raw scraping.

    Is It Legal To Scrape Twitter?

    While scraping public data from the web is generally legal, scraping Twitter may not be, depending on the type of data you scrape and how you do it.

    According to most data protection regulations, it's illegal to scrape:

  • Personal information, such as emails, without the owner's permission
  • Copyrighted data if your usage doesn't meet the criteria for fair use 
  • Still, scraping public data can also lead to legal action if done against Twitter's terms of service which forbid all forms of scraping without permission. Once you create a Twitter account and accept its terms, you're liable for any misuse of the platform.

    As of September 2023, Twitter put a ban on scraping in an attempt to better protect user privacy. Now, it implements measures like CAPTCHA challenges and rate limiting to prevent unauthorized data extraction.

    While many Twitter scrapers can circumvent these measures, if you want to scrape ethically, you can use Twitter's official API. It complies with the terms and provides access to structured data but limits the number of requests you can make over a period, making it less effective

    If you still want to use a scraper, consider a tool that promotes ethical scraping and offers other data providing features for the best coverage.

    💡 Bonus read: Find out how to scrape emails from Facebook or Instagram.

    How We Chose the Best Twitter Scraper

    To choose the best Twitter scraper tools without bias, our team adopted a unique approach that involved:

  • First-hand testing dozens of Twitter scraping tools to assess their strengths and weaknesses 🧪 
  • Consulting our network of industry experts and influencers for their opinions on each Twitter data scraping tool 🤝 
  • Analyzing user reviews on major platforms, such as G2, Capterra, and Product Hunt, to get a wider picture of each solution 🔎 
  • Still, not all tools may align with your unique needs, so consider the following factors to make an informed decision:

    Best Twitter Scrapers: Our Top 5 Picks

    With these factors in mind, here's the list of our top five Twitter scraping tools:

  • Clay
  • Apify
  • PhantomBuster
  • Bright Data Web Scraper APIs
  • WebAutomation
  • 1. Clay

    Source: Clay

    Clay is a comprehensive data enrichment and sales automation platform with numerous scraping capabilities that can extract data from Twitter as easily as any other website. It lets you scrape Twitter through:

    As a data enrichment platform, Clay offers over 100 integrations to help you get any hard-to-scrape data points. Without ever leaving Clay, you can scrape ethically without risking a ban or legal action. Through its integrations, you can:

  • Find account details: Scrape data points like name, location, profile image, retweeted tweets from a username or profile URL
  • Get popular tweets: Scrape a user's most popular tweets only given their username 
  • Get tweet details: Extract data points like name, status, profile image, following, followers count, and other details from an ID
  • Source: Clay

    If you want to scrape live Twitter data, you can use the Sources feature to extract the following data points:

  • Twitter followers: Stream in followers of any account directly into a Clay table
  • Twitter following: Extract a list of accounts that a Twitter user is following
  • Twitter mentions: Pull in profiles of replies and mentions for any Twitter thread
  • If you want to use the power of AI to scrape, you do that through Claygent, an AI web scraper that can visit any website and extract data in minutes. It works similarly to ChatGPT, so scraping Twitter is as easy as giving it a prompt or asking it a question. It will visit a public Twitter account, extract the data points, and deliver them in a Clay table in no time.

    To scrape specific pages as you browse, use the intuitive Chrome extension. All you have to do is download it, open a public page you want to scrape, run the extension, and save the results to your Clay table. ⚡

    Source: Clay

    While the platform offers a range of data scraping templates, there isn't one specifically tailored to Twitter. Still, after scraping data and getting your base information, you can use the available templates to enrich your data points.

    In terms of pricing, Clay offers flexible and transparent pricing with a free-forever plan and a 14-day free trial on all paid plans that include:

  • Launch: $185/month
  • Growth: $495/month
  • Enterprise: Custom
  • ✔️ No coding required

    ✔️ Integrations for ethical scraping

    ✔️ Intuitive Chrome extension

    ✔️ AI web scraper

    ✔️ Data enrichment features

    2. Apify

    Source: Apify

    Apify is a full-stack platform that lets developers build reliable web scrapers (Actors) in Python, JavaScript, and TypeScript and publish them in the Apify Store. There are over 1,500 ready-made Actors, including dozens of Twitter scraper tools, such as:

  • Twitter Scraper: Searches public tweets and extracts user and tweet information
  • Twitter Profile: Scrapes all public data from a Twitter profile
  • Twitter URL Scraper: Scrapes user and tweet information and tweet statistics
  • Twitter Comments Scraper: Extracts Twitter comments and users from a tweet URL
  • For more tech-savvy users who want to build a custom Actor, there are dozens of web scraping templates and libraries like Puppeteer, Selenium, Playwright, and Crawlee. ⌨️

    You don't have to worry about detection when using Apify Actors. The platform's large pool of datacenter and residential proxies and smart IP rotation features keep your activities off Twitter's radar. 📡

    After scraping, you can store your results in the cloud or export them to a CSV, JSON, Excel, RSS, XML, or HTML file. The platform also supports numerous integrations, so you can push files to your favorite web apps and cloud services. ☁️

    As far as pricing goes, Apify offers a "free" plan that requires a one-time payment of $5 and four paid plans. The paid plans have a pay-as-you-go model but require a monthly prepaid subscription:

  • Starter: $49/month
  • Scale: $499/month
  • Business: $999/month
  • Enterprise: Custom
  • In terms of potential drawbacks, several user reviews mention its high pricing. According to them, it is more expensive than other scrapers. It also has a steep learning curve, so non-technical users may find it challenging to use.

    ✔️ Dozens of ready-made Twitter scrapers

    ✔️ Numerous code templates for developers

    ✔️ Multiple file-format export options

    ✔️ Datacenter and residential proxies 

    ❌ Steep learning curve

    ❌ High pricing

    3. PhantomBuster

    Source: PhantomBuster

    PhantomBuster is a no-code automation platform that offers hundreds of ready-made automations called Phantoms. They include several options for scraping Twitter, such as:

  • Twitter Follower Collector: Extracts a list of users' followers
  • Twitter Profile Likes Extractor: Scrapes tweets liked by specific Twitter accounts
  • Twitter Profile Scraper: Collects all the data available on Twitter profiles, including name, handle, Tweets, likes, and followers
  • Each Phantom automates a single scraping task, but you can chain them or use Flows to automate sequences of actions. 🤖

    To use a Phantom, you only need to provide a Twitter URL or a link to a publicly accessible Google Sheet with a list of target URLs and set the Phantom to run once or on a recurring schedule.

    After scraping, you can leverage the platform's enrichment solutions to refine your results before exporting them into a CSV or JSON file. 📂

    In terms of pricing, PhantomBuster offers a 14-day free trial and three pricing plans:

  • Starter: $69/month
  • Pro: $159/month
  • Team: $439/month
  • That said, some people mention that some of the Phantoms are laggy and don't work properly and can deliver inaccurate results. 🥱

    ✔️ Ready-made Twitter scraping solutions

    ✔️ No coding required

    ✔️ Lead enrichment features

    ✔️ Lead outreach solutions

    ❌ Inaccurate results

    ❌ Laggy Phantoms

    💡 Pro tip: Take advantage of Clay's PhantomBuster integration and pull all extracted data for easy enrichment.

    4. Bright Data Web Scraper APIs

    Source: Bright Data

    If you can code and want to scrape Twitter ethically, Bright Data can be an excellent choice. It is a data collection platform that provides various web scraping tools and services, including a set of Web Scraper APIs for extracting data from the most popular websites. 🧑‍💻

    Among the APIs is a Twitter Scraper API that can collect all publicly available data points from Twitter, including likes, followers, posts, and hashtags. It delivers structured results in JSON, CSV, or NDJSON file formats through Webhook or API delivery. 

    While the platform complies with data protection laws like the CCPA and GDPR, the API is still equipped with features to prevent Twitter from blocking you, including:

  • Automatic IP rotation: Leverages Bright Data's extensive proxy networks to access geo-restricted content and remain anonymous
  • CAPTCHA Solver: Circumvents anti-scraping measures to minimize interruptions
  • You can test the Web Scraper API through a free trial, and if you like it, upgrade to the pay-as-you-go plan. It starts at $0.01 per record and is based on the number of records and domain type. 📃

    In terms of drawbacks, we have to mention the rigid pricing plan. It relies on a pay-as-you-go model, which can be challenging to budget for due to fluctuating expenses. Ease-of-use can be another problem as some users mention that the dashboard is complex and needs improvement.

    ✔️ Has extensive proxy networks

    ✔️ Circumvents anti-scraping measures

    ✔️ Complies with data protection laws

    ✔️ Has high-quality datasets available

    ❌ Fixed pricing plan

    ❌ Complex dashboard

    5. WebAutomation

    Source: WebAutomation

    WebAutomation is a cloud scraping platform that offers hundreds of ready-made extractors for collecting data from popular websites without writing code. 🧑‍💻

    Among them is the Twitter Profile Scraper, an extractor that can scrape all tweets, retweets, and replies from a Twitter profile and export them as CSV, XLXS, or JSON files.

    If you need a custom Twitter scraper, you can build it using the intuitive point-and-click interface or request one of WebAutomation's experts to build it for you. You can also skip running the scraper altogether by requesting the experts to build a full dataset for you or purchasing one from the platform's marketplace. 💸

    WebAutomation offers a 14-day free trial or pay-as-you-go plan that costs $1 per 1,000 data credits for people who want to test its features. If you'd like to commit, there are five pricing plans to choose from:

  • Project: $99/month
  • Startup: $249/month
  • Business: $449/month
  • Corporate: $999/month
  • Enterprise: $1,000+/month
  • Still, a user mentions that the UI is confusing, so the platform can be difficult to navigate. Another disadvantage, according to a few users, is the limited number of ready-made extractors, which means you may not find a tool tailored to your specific needs.

    ✔️ Ready-made plug-and-play scraping

    ✔️ No coding required

    ✔️ Flexible pricing

    ✔️ High-quality datasets available

    ❌ Needs more ready-made extractors

    ❌ Confusing navigation

    Which Twitter Scraper Should You Choose?

    All the Twitter scrapers in our list can help you extract the data you want, so your choice should be based on your needs and preferences. The factors we highlighted at the beginning of the article can help you make an informed decision, but to ensure you choose the right tool, consider:

  • ✅ Your coding skills: Not all tools are ready-made and no-code. Unless you're a developer or have advanced coding skills, choose a tool that doesn't require writing code
  • ✅ The size of your team: Consider the number of people using the scraper. If you have a large team, avoid tools with pay-as-you-go pricing models as the costs can add up quickly
  • ✅ Reasons for scraping: If you are scraping for lead generation, choose a tool that offers robust enrichment features for detailed and accurate prospect information
  • If you're looking for an easy-to-use, ready-made solution with advanced data providing and enrichment features, Clay is a no-brainer. 🧠

    With Clay, you get next-level web scraping features without writing a line of code, flexible and convenient pricing, and options for data enrichment and email drafting.

    Support Your Scraping Projects With Clay

    Clay is the Swiss Army knife of data scraping. It features a Chrome extension, an AI web scraper, several templates, and numerous integrations that can help you scrape Twitter without writing code. 💪

    The platform integrates with over 60 data providers, giving you unlimited data access without purchasing dozens of subscriptions. You can leverage the integrations to:

  • Skip the scraping process: If you don't want to manage a scraper, Clay can handle the entire process in the back end and deliver the data you need in no time
  • Enrich your data: You can use the dozens of databases to clean, validate, and fill gaps 
  • Source: Clay

    To enrich your data, Clay uses a process called waterfall enrichment to search across data providers sequentially. All you have to do is choose the data providers you want and customize their order, and Clay will go over them one by one until it finds the info you need. This lets you maximize coverage without increasing costs as you only pay for successful searches. 💰

    With all these features, it is not a surprise that many sales and marketing pros love Clay. See what a user had to say about it:

    Source: Product Hunt

    Frequently Asked Questions

    Is it legal to scrape data from Twitter (X)?

    Scraping public data from the web is generally legal, but scraping Twitter may not be, depending on what you scrape and how. Twitter's terms of service forbid all forms of scraping without permission, and data protection regulations make it illegal to scrape personal information like emails without consent. Using Twitter's official API is the safest compliant option.

    What data can you scrape from Twitter?

    Publicly available data points include tweets, retweets, replies, likes, follower counts, following lists, hashtags, profile images, and user handles. Tools like Clay's native integrations let you pull account details, popular tweets, and tweet-level metadata directly into a Clay table.

    Why scrape Twitter instead of using the official API?

    Twitter's official API complies with the platform's terms but limits the number of requests you can make over a given period, making it less effective for large-scale data collection. Scrapers can collect data at higher volumes, though they carry more legal and account-ban risk if not used carefully.

    Do Twitter scrapers get blocked?

    Twitter uses CAPTCHA challenges and rate limiting to detect and block unauthorized scraping. Many tools address this through proxy rotation and CAPTCHA solvers. Bright Data, for example, includes automatic IP rotation and a CAPTCHA Solver. Using a tool with ethical scraping integrations, like Clay, reduces the risk of getting blocked.

    Create a Clay Account

    Create a free Clay account in three quick steps:

  • Visit the signup page 👈
  • Enter your name, email, and password
  • Explore Clay's features
  • If you want to learn more about Clay, visit Clay University for product walkthroughs or join the Slack community to see how other pros are using it. For more interesting content, sign up for the newsletter and get the latest updates, news, and useful tips.

    💡 Bonus Read: Want to discover the best scrapers for social media platforms? Check out these detailed guides:

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