Twitter Profile Scraper

AI-Powered Web Scraping

Twitter Profile Scraper

Collect Twitter profile data — usernames, follower counts, and bios — in 2 clicks and export to Excel, Google Sheets, or Notion instantly. Thunderbit's AI handles the rest.

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Users Worldwide200K+

Extract Twitter profile data in seconds

Thunderbit lets you collect Twitter profile data without coding or complicated setups.

Two clicks to scrape Twitter profiles

Manually copying Twitter profile data like usernames, bios, and follower counts is tedious. With Thunderbit, just point at the data you want, and our AI figures out the rest. No need to learn CSS selectors or write any code. It's scraping, simplified.

Export Twitter profile data instantly

Tired of switching between tabs to copy-paste Twitter profile info? Thunderbit eliminates the hassle. Extract usernames, display names, tweet counts, and more, then send it directly to Google Sheets, Notion, or Airtable with a single click.

Scrape Twitter profiles and beyond

Why use a different scraper for every website? Thunderbit works on Twitter profiles and countless others. Start with one of our 50+ pre-built templates, or let Thunderbit's AI adapt to any layout to collect data like usernames and bios from any site.

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Why is Thunderbit different from traditional Twitter profile scrapers?

Extract twitter-profile data effortlessly, even when layouts shift and evolve.

Traditional scrapers

The old way of doing things

Twitter's frequent layout changes break traditional scrapers that rely on specific CSS selectors, leading to constant maintenance.

Scraping follower and following lists often requires navigating pagination, which is tedious and error-prone with standard tools.

Many profile details are buried on secondary pages (e.g., media, likes), requiring complex setups to extract consistently.

Twitter profiles load content dynamically, meaning scrapers need to handle JavaScript rendering, adding significant complexity.

Inconsistent data formats — such as date formats and follower counts — require extensive post-processing and cleaning before the data is usable.

The AI Advantage

Thunderbit AI

The smarter approach

Thunderbit's semantic AI understands the meaning of page content, adapting automatically to Twitter's layout changes.

Our auto-pagination feature intelligently detects and scrapes across multiple pages, effortlessly collecting all the data you need.

With subpage scraping, Thunderbit automatically visits linked pages to extract details like media and likes, appending them as new columns.

Thunderbit handles dynamic content seamlessly, extracting data even when it is loaded with JavaScript after the initial page load.

The auto data cleaning feature structures and formats extracted data, ensuring consistency without any manual intervention.

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Frequently asked questions

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