Social Fetch
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Scraper API for TikTok, Instagram, YouTube, X & more.
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- Author
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- Categories
- Web Scraping, Other, API
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Look up profiles, posts, and engagement metrics across every major social platform through one normalized REST API.
Social Fetch is a REST API for normalized social media data. Look up profiles, posts, and engagement metrics across Instagram, TikTok, X/Twitter, YouTube, and more — one JSON shape, one API key.
Paste this prompt into Cursor, Claude Code, or any AI IDE. It will read the docs and integrate Social Fetch for you.
Make your first authenticated request and learn the response envelope in a few minutes.
Copyable workflows — brand monitoring, transcripts, ads, creator scoring, Reddit research.
Typed client methods and Result-based error handling instead of raw HTTP.
Every operation, with parameters, examples, and response schemas.
Which routes cost credits, how to read creditsCharged, and what 402 means.
SDK, MCP, n8n, Apify, x402 — connect Social Fetch to your stack.
Not sure where to begin? Match your setup:
- Calling the API directly—Quickstart→Errors→Credits→API reference.
- Building in TypeScript—Quickstart→SDK guide.
- Handing this to a coding agent— point it at/llms.txt,/agents.txt,/llms.json, and/openapi.json, or copy the prompt above.
Every platform returns the same{ data, meta }envelope.
- Instagram— profiles, posts, reels, highlights, search
- TikTok— profiles, videos, products, user search
- X/Twitter— profiles, tweets, communities, search
- YouTube— channels, videos, transcripts, playlists, search
- Facebook, LinkedIn, Reddit, Threads, Telegram, Linktree, Hacker News, Truth Social, Spotify— profiles, posts, and platform-specific lookups
- Web— fetch any page as Markdown or HTML, or ask a question about it
- Utilities—whoami,balance, andhealth
See theAPI referencefor every operation and its schema.
Building with a coding agent or generating client code:
- Append.mdxto any docs URL for the raw Markdown, e.g./docs/quickstart.mdx.
- /llms.txt— curated discovery index: coverage, why to use it, workflow-oriented doc links (~100 lines).
- /agents.txt— agent onboarding, auth/pagination rules, and crawl allowlist.
- /llms-endpoints.txt— every operation with a link to that route's markdown page.
- /llms-{platform}.txt— per-platform files with parameters, credits, and example curls (from OpenAPI).
- /llms.json— structured route inventory with parameters, pagination, outcomes, credits, and SDK mappings.
- /openapi.json— full schema for codegen, validation, and tooling.
- Capability matrix— dense human-readable appendix of every operation. Prefer/llms.jsonfor agents.
Authenticate with your API key, make a live Social Fetch request, and read the data + meta envelope. Examples in cURL, Node, Python, Go, and Java.
](https://www.socialfetch.dev/docs/quickstart)
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