What I like most about Thunderbit is how much time it saves me. I can open a page, click a button, and get the information I need in a clean table without dealing with code or complicated setup. It’s especially handy when I need to collect a lot of data from different pages.

The AI Suggest Fields feature reads the page structure automatically and picks the right columns without writing any selectors or configuring a parser manually. I scraped a product catalog across 3 pages and got 60 clean rows in one run, with pagination handled automatically. Very fast setup for someone without a coding background. I mainly used Thunderbit as a standalone tool for extracting data into a results table, then exporting from there. I haven't yet connected it to other tools in my stack (like Sheets, Airtable, or Notion), but the export options are visible and look straightforward for when I need that integration.

The Thunderbit API makes it easy to collect company and contact data without building my own scraping system. MCP is especially useful because the agent can start a scrape and work with the results in the same flow.