Twitter Scraper: 10 Best Tools to Extract X Data in 2026

Twitter, now known as X, still contains valuable public conversations for market research, social listening, brand monitoring, influencer discovery, trend analysis, and AI data preparation. A Twitter scraper is a tool that collects public X data from posts, profiles, hashtags, replies, engagement metrics, or search results and turns it into structured data.

The hard part is not only collecting the data. X changes often, official API access has pricing and usage rules, and public web scraping can break when page layouts or access limits change. The best Twitter scraper tool in 2026 depends on whether your team needs a no-code export, a developer API, a managed enterprise dataset, or a custom workflow.

Quick Comparison of the Best Twitter Scraper Tools

10 Best Twitter Scraper Tools in 2026

1. CoreClaw

CoreClaw is a web scraping platform built around ready-made data Workers, no-code setup, structured exports, API access, and pay only for successful results. For Twitter/X projects, CoreClaw is best positioned as a practical workflow layer when teams need cleaned and filtered public social data rather than raw page content.

CoreClaw already supports public social media data workflows across platforms such as Instagram, TikTok, YouTube, and Facebook in its Worker Store, with CSV/JSON export and API-oriented workflows available for supported Workers. For X-specific use cases, teams can use CoreClaw’s custom Worker path or developer publishing capability when a ready-made Worker does not match the exact workflow.

Key Features

• No-code Worker-based data collection
• CSV, JSON, and Excel-friendly export workflows
• API access for recurring pipelines
• Cleaned and filtered structured outputs
• Custom Worker option for specific public data sources
• Pay only for successful results

Pros

CoreClaw is practical for teams that want usable datasets, not scraper maintenance. It is especially helpful when data needs to move into spreadsheets, CRM tools, AI workflows, dashboards, or market research pipelines.

Best For

CoreClaw is best for business teams, researchers, growth teams, and developers who want a clean public data workflow with export and API options.

2. X API

The X API is the official way to access X data through documented endpoints. It is usually the safest option when a team needs stable, permissioned access and can work within the platform’s pricing, endpoints, and usage rules.

In 2026, X lists usage-based credit consumption for read and write operations. For example, public pricing shows post reads, user reads, follower/following reads, trends, media, and other resources charged by resource or request type, with current rates maintained on X’s pricing page and Developer Console.

Key Features

• Official API access
• Structured JSON responses
• Developer Console usage tracking
• Read and write operations
• Better fit for compliant app integrations

Pros

The X API is documented and official, which makes it suitable for product integrations and compliance-sensitive use cases.

Cons

It may be expensive or limiting for teams that only need flexible research exports or broad exploratory datasets.

Best For

Developer teams that need official access and can budget for API usage.

3. Bright Data

Bright Data offers a dedicated Twitter scraper for collecting public X data such as tweets, retweets, conversation threads, hashtags, images, videos, followers/following, locations, and more. It supports on-demand scraping through API or no-code workflows and emphasizes successful-result delivery.

Key Features

• Dedicated Twitter scraper
• API and no-code access
• Bulk request handling
• Multiple output formats
• Enterprise-grade infrastructure

Pros

Bright Data is strong for enterprise teams that need scale, managed infrastructure, and public X datasets.

Cons

It may be more complex and costly than smaller teams need.

Best For

Enterprise data teams and organizations with large recurring X data needs.

4. Apify

Apify is a scraping and automation marketplace with ready-made Actors. Its Twitter/X scraper options are designed for both one-off jobs and larger data extraction workflows, with scheduling, monitoring, built-in pagination, and proxy support.

Key Features

• Marketplace of Twitter/X scrapers
• Scheduling and monitoring
• API access
• Data storage and export
• Custom Actor development

Pros

Apify gives users many ready-made options and enough flexibility for technical customization.

Cons

Some Actors may require testing, configuration, or developer support.

Best For

Technical teams, growth operators, and automation users.

5. Octoparse

Octoparse is a no-code scraping platform with Twitter/X templates. Current Twitter templates focus on extracting tweets from account URLs or advanced search pages, with fields such as tweet text, timestamps, likes, retweets, replies, and media. Some templates support export to Excel, CSV, or JSON.

Key Features

• No-code scraper builder
• Twitter/X templates
• Cloud scraping
• CSV, Excel, and JSON export
• Visual workflow setup

Pros

Octoparse is easier for non-technical users than building a scraper from scratch.

Cons

Complex or changing X pages may still need workflow adjustments.

Best For

Business users who want a visual, no-code scraping workflow.

6. PhantomBuster

PhantomBuster is useful for profile and follower-focused Twitter/X workflows. Its Twitter Profile Scraper can extract public profile information such as name, description, handle, URL, account age, tweet count, followers, following, and likes. Its follower tool is more limited: PhantomBuster currently notes a hard limit of up to 70 recent followers per public account due to X restrictions.

Key Features

• Twitter profile scraping
• Follower collection workflows
• Google Sheets input support
• Sales and prospecting automation
• CSV-style exports

Pros

PhantomBuster is practical for GTM teams that research public profiles and social audiences.

Cons

Follower extraction limits make it less suitable for deep historical follower analysis.

Best For

Sales teams, growth teams, and lightweight profile research.

7. Clay

Clay is a GTM data platform that combines data collection, enrichment, and workflow automation. Its Twitter scraper guide positions Clay as a no-code option for non-technical users who need enrichment beyond raw scraping.

Key Features

• No-code GTM workflows
• AI-assisted web research
• Data enrichment
• CRM and sales workflow use cases
• Useful for lead research

Pros

Clay is helpful when Twitter/X data is only one part of a larger outbound or account research workflow.

Cons

It is not mainly a general-purpose scraping infrastructure platform.

Best For

Revenue teams that need research plus enrichment.

8. Oxylabs

Oxylabs is an enterprise scraping and proxy infrastructure provider. For X data workflows, it is usually considered by teams that need scale, reliability, proxies, and custom data collection infrastructure.

Key Features

• Scraper APIs
• Proxy infrastructure
• Browser rendering support
• Enterprise support
• Large-scale public data collection

Pros

Oxylabs is strong for companies with high-volume and infrastructure-heavy scraping needs.

Cons

It is usually more technical than no-code tools.

Best For

Enterprise engineering and data teams.

9. ScrapingBee

ScrapingBee is a developer-focused web scraping API. For Twitter/X, it is usually used as infrastructure for browser rendering, proxy handling, and page fetching, while developers still define the extraction logic.

Key Features

• Web scraping API
• JavaScript rendering
• Proxy handling
• Developer integration
• Useful for custom scripts

Pros

ScrapingBee can reduce infrastructure work for developers.

Cons

It is not a no-code Twitter scraper by itself.

Best For

Developers building custom X data extraction pipelines.

10. Playwright or Selenium

Playwright and Selenium are browser automation tools. They allow developers to control a browser, open pages, wait for content to load, click elements, and extract visible public data.

Key Features

• Full browser automation
• JavaScript rendering
• Custom extraction logic
• Works with Python, JavaScript, and other stacks
• High flexibility

Pros

This approach gives developers maximum control.

Cons

It requires code, maintenance, infrastructure, and ongoing monitoring. X page structure and access behavior can change often, which makes DIY scraping harder to maintain.

Best For

Engineering teams with custom requirements and maintenance capacity.

What Twitter/X Data Can You Extract?

Common public X data fields include:

The most useful dataset is not always the largest one. For market research, a clean export with post text, date, author, engagement, URL, keyword, and source may be enough.

Responsible Use of Twitter Scraper Tools

Twitter/X scraping should focus on public data and legitimate business or research use. Avoid private accounts, protected content, login-only data, sensitive personal information, spam, and high-volume activity that disrupts services.

Teams should also review X’s terms, applicable privacy laws, and internal compliance rules before collecting or using social data. For important business decisions, always sample-check the exported dataset before analysis.

Final Thoughts

The best Twitter scraper in 2026 depends on what your team actually needs.

For CoreClaw users, the bigger opportunity is building a repeatable public data workflow. With ready-made Workers, custom Worker support, API access, CSV/JSON/Excel export, pay only for successful results, and cleaned and filtered structured outputs, CoreClaw helps teams move from “we need X data” to “we have usable data ready for analysis, CRM, AI workflows, or reporting.”