Social Media Scraper for Cross-Platform Public Data

AI-Powered Web Scraping

Social Media Scraper for Cross-Platform Public Data

Design a public social dataset around the decision you need to make—profile discovery, post monitoring, engagement comparison, or comment research. Because every platform exposes a different schema, describe the required fields in natural language and keep platform-specific metrics clearly labeled.

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Collect public social data without rebuilding the workflow

Let AI handle changing layouts, process URL lists in bulk, and open linked pages when deeper fields matter.

Keep collecting when page layouts move

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.

Run profile and post URLs as a batch

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.

Bring linked details into the same table

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.

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Stop rebuilding social scrapers platform by platform

Traditional tools encode each layout separately. Thunderbit keeps one AI workflow and each platform's visible labels.

A stack of platform-specific scrapers

Every source brings another setup

Fixed selectors follow individual layouts

Infinite feeds need custom scrolling code

Profile subpages require new navigation rules

Output formats drift between tools

Agentic scraping

One agent for the public pages you choose

Thunderbit adapts the requested fields

AI recommends fields from each page

Natural language adjusts the output

Bulk runs cover selected public URLs

Platform labels remain visible in exports

30 useful fields for public social research

Availability and metric names vary by platform. Keep the source platform and page type beside every captured value.

Platform Name
Source Page Type
Source URL
Profile ID
Profile Username
Profile Display Name
Profile URL
Profile Avatar URL
Profile Bio
Profile Website URL
Profile Verification Status
Follower Count
Following Count
Subscriber Count
Post ID
Post URL
Post Text or Caption
Post Published Date
Post Type
Media Type
Primary Media URL
Hashtag List
Mentioned Accounts
Post Like Count
Post Comment Count
Post Share Count
Post View Count
Comment ID
Comment Text
Comment Author Username

Hear how teams use one scraper across the web

Thunderbit users share how they collect public data from changing pages without maintaining a separate tool for every source.

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Questions for building a defensible social-media dataset

Scope, metric meaning, public access, and schema choices across platforms.

Switch to a platform-specific scraper when precision matters

Use dedicated TikTok comments, Telegram channel, Patreon membership, YouTube, Instagram, or X pages when the task depends on platform-only entities, fields, or interaction patterns.

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