AI-Powered Web Scraping

Twitter scraper

Grab streamer names and viewer counts from Twitter streams without code, and automatically structure the data for analysis.
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Extract Twitter data without the hassle

Two clicks to scrape Twitter data

Manually copying Twitter data like streamer names, stream titles, and viewer counts is tedious. With Thunderbit, skip the code and complicated setups. Just point at the data you need, and with two clicks, Thunderbit extracts it all for you. No more manual copy-pasting.

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One tool for all your scraping needs

Stop juggling multiple tools for different websites. Thunderbit works on Twitter and beyond. We've got 50+ pre-built templates to get you started, and Thunderbit's semantic AI can scrape data like game categories, stream tags, and stream languages from virtually any site, right out of the box.

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Automate your Twitter data collection

Twitter data like viewer counts and trending streams change constantly. Instead of manually scraping every day, set up scheduled scraping with Thunderbit. Get fresh data on streamer names, stream titles, and more delivered to Google Sheets, Notion, or Airtable automatically.

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Struggling to scrape Twitter data?

See how Thunderbit simplifies Twitter scraping compared to traditional methods.

Traditional scrapers

The old way of doing things
Twitter's layout changes break scrapers often
Endless scrolling makes pagination difficult
XPaths/CSS selectors quickly become outdated
Rate limits and blocks are common problems
Inconsistent tweet formats cause parsing errors
The AI Advantage

Thunderbit

The smarter approach
Semantic AI adapts to layout changes
Auto-pagination handles infinite scrolling
AI understands content, no selectors needed
Schedule scraping and avoid manual work
Auto data cleaning structures tweet data

Don't just take our word for it

See what our users have to say about Thunderbit.

Frequently asked questions

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