Social Fetch

AI agents and LLM products need a social media API that returns structured JSON—not raw HTML. Social Fetch is an AI social data API and scraper API optimized for agent workflows: synchronous REST endpoints, typed fields, documented schemas, and a hosted MCP server so Cursor, Claude, and custom agents can scrape live social media profiles, posts, and search results reliably.

Agent-friendly by design: shared error envelopes with requestId, explicit lookupStatus so HTTP 200 does not mean "found," and OpenAPI hints for empty or ambiguous results. The TypeScript SDK exposes Result types for predictable error handling.

Coverage includes profile scraping, post metadata, comment scraping, engagement metrics, YouTube and TikTok transcripts, hashtag API search, keyword search, and competitive ad-library queries across 20+ platforms—one integration instead of stitching together marketplace social media scrapers.

Humans integrate via cURL, Python, Node, and quickstart docs. Start with 100 free credits, pay-as-you-go scaling, parallel requests without throttling. Social Fetch is the social media data API for products that prompt agents to look up creators—not maintain scraper infrastructure.

Structured social data for AI. One API.