AI-Powered Web Scraping

Substack scraper

Get Substack subscriber counts, article titles, and publication descriptions into a clean spreadsheet — no code, the AI does the structuring.
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Unlock Substack data with Thunderbit

Send Substack data directly to your apps

Stop manually copying and pasting Substack publication details like author name, article title, and subscriber count. With Thunderbit, just one click sends your extracted data directly to Google Sheets, Notion, or Airtable. Analyze publication trends and content performance without the tedious manual work.

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One scraper for Substack and beyond

Don't get stuck using a different scraper for every website. Thunderbit works on Substack right out of the box, and includes over 50 pre-built templates for other popular platforms. Extract publication descriptions, article content, and more, then use the same tool to gather data from anywhere else.

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Get the full Substack story

Substack publication listing pages only show summaries. Thunderbit automatically visits each article subpage to extract the full content, giving you a complete dataset. Get the entire article title, author name, publication name, and article content in one go.

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Struggling to scrape Substack effectively?

See why Thunderbit beats traditional scrapers for substack data.

Traditional scrapers

The old way of doing things
Substack's layout changes break scrapers often
Manual CSS selector maintenance gets tedious
Pagination across posts can be tricky
Locking comments behind login walls is common
Inconsistent formatting of post dates
The AI Advantage

Thunderbit

The smarter approach
Semantic AI adapts to site changes
2-click scraping eliminates CSS selectors
Auto-pagination handles multiple posts easily
Scrapes public data, even on subpages
Auto data cleaning formats dates correctly

Don't just take our word for it

See what our users have to say about Thunderbit.

Frequently asked questions

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