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Thunderbit reads visible labels and content instead of relying only on fixed selectors. When a public profile or post changes shape, the workflow needs less hands-on repair.

Paste the public pages you want to research and process them together. Usernames, captions, dates, and visible engagement can arrive as rows ready for review or export.

When a list page is only the starting point, subpage scraping can open accessible profiles or posts and append the visible details you request as new columns.

Traditional tools encode each layout separately. Thunderbit keeps one AI workflow and each platform's visible labels.
Availability and metric names vary by platform. Keep the source platform and page type beside every captured value.
Thunderbit users share how they collect public data from changing pages without maintaining a separate tool for every source.
Scope, metric meaning, public access, and schema choices across platforms.
Join 200,000+ professionals already using Thunderbit to automate their web scraping workflows.
Free trial provides unlimited credits for 8 webpages.