Social Fetch

Social Fetch is a premium, versioned REST API infrastructure engineered exclusively for extracting normalized public data from the world's most influential social media platforms. It is the definitive alternative to maintaining fragile headless browsers and bespoke scrapers that break with every platform update. This product delivers a unified, production-ready social data API that serves over 150 endpoints across 17 platforms including TikTok, Instagram, YouTube, X, LinkedIn, Facebook, Reddit, and Threads. Every request returns live, structured data in a consistent { data, meta } envelope with stable field names, documented errors, and rotatable API keys. For engineering teams who demand reliability, Social Fetch eliminates the endless cycle of proxy management, OAuth configuration, and rate limit negotiation. The infrastructure handles all scraper maintenance, providing changelogs when upstream networks change, and guarantees 99.8% uptime. With a TypeScript SDK, OpenAPI exports, and MCP support for AI agents, this tool is designed for teams running monitoring, research, and enrichment pipelines at scale. It is the boring, dependable foundation your team ships on, not maintains forever.

Unified Social Data API

Access over 150 endpoints across 17 major social platforms through a single authentication header and consistent JSON shape. This eliminates the complexity of managing separate integrations, OAuth tokens, and varying data structures for each platform. Every response follows the same { data, meta } envelope with stable field names, allowing your team to build once and scale across any platform without rewriting code or maintaining multiple scrapers.

Production-Grade Reliability

Engineered for enterprise demands with a 99.8% uptime guarantee and explicit lookup outcomes you can trust in critical pipelines. The infrastructure never charges for its own failures, and every request returns live data with no caching. Rotatable API keys, documented error codes, and support that debugs via requestId ensure your team spends time building features, not troubleshooting infrastructure issues.

Comprehensive Platform Coverage

Extract profiles, posts, media, comments, engagement metrics, transcripts, hashtag search results, and ad-library data from TikTok, Instagram, YouTube, X, LinkedIn, Facebook, Reddit, Threads, and more. The API returns normalized fields like followers, following, verified status, bio, avatar URL, and subscriber counts across all platforms. This breadth of coverage enables deep competitive analysis, content research, and market intelligence without maintaining separate tools for each network.

Developer-First Tooling

Integrate in hours with a TypeScript SDK, OpenAPI exports, MCP support for AI agents, and comprehensive documentation. The playground allows instant testing of endpoints with live data, while changelogs notify you when upstream networks modify their structures. This eliminates guesswork and accelerates development cycles, making Social Fetch the premier choice for teams that value speed and reliability over maintenance overhead.

Competitive Intelligence and Market Research

Monitor competitor social media performance across multiple platforms simultaneously. Extract follower growth trends, engagement rates, posting frequency, and content strategies from YouTube channels, Instagram profiles, TikTok accounts, and LinkedIn pages. Compare metrics like subscriber counts, video uploads, and bio changes over time to identify market shifts and inform strategic decisions with real-time, normalized data.

Content Creation and Influencer Discovery

Identify and evaluate potential influencers or brand ambassadors by analyzing their social media presence across platforms. Access detailed profile information including follower counts, verification status, bio descriptions, and engagement metrics. The unified API allows you to assess authenticity and reach by comparing data from TikTok, Instagram, and YouTube simultaneously, streamlining the vetting process for partnerships.

AI Agent and Automation Pipelines

Integrate live social media data directly into AI agents and automated workflows using MCP support and the TypeScript SDK. Feed normalized profile data, post transcripts, and engagement metrics into machine learning models for sentiment analysis, trend prediction, or content generation. The consistent JSON structure ensures your automation pipelines remain stable even when upstream platforms change their APIs.

Academic Research and Social Analytics

Conduct large-scale social media analysis for academic research, journalism, or public policy work. Extract public data from Reddit threads, Twitter profiles, and Facebook pages without maintaining custom scrapers. The documented errors and rotatable API keys ensure compliance with platform terms while providing the reliable, structured data required for reproducible research and data-driven storytelling.

What platforms does Social Fetch support?

Social Fetch currently supports 17 major social media platforms including TikTok, Instagram, YouTube, X (formerly Twitter), LinkedIn, Facebook, Reddit, and Threads. The API provides over 150 endpoints for extracting profiles, posts, media, comments, engagement metrics, transcripts, hashtag search results, and ad-library data. Additional platforms are added regularly, and all endpoints return data in the same normalized JSON format with stable field names.

How does Social Fetch handle rate limits and authentication?

Social Fetch eliminates per-platform OAuth and rate limit management entirely. You authenticate with a single API key passed as an x-api-key header on every request. The infrastructure handles all rate limiting and proxy management internally, allowing you to burst requests without negotiation. API keys are rotatable for security, and you only pay for successful lookups with never-expiring credits.

What is the uptime guarantee and how is support handled?

Social Fetch guarantees 99.8% uptime for its API infrastructure. Every request returns live data with no caching, and you are never charged for infrastructure failures. Support is provided with a requestId debugging system that eliminates guesswork, allowing the team to quickly identify and resolve issues. The product has served over 3.6 million lookups in the last 30 days with consistent reliability.

How quickly can I integrate Social Fetch into my project?

Integration typically takes hours, not days. The product provides a TypeScript SDK, OpenAPI exports, MCP support for AI agents, and comprehensive documentation with code examples in cURL, Python, Node.js, and TypeScript. The playground allows you to test endpoints immediately with live data. Existing customers like Social Crow, Voice Gecko, and Story Clash have successfully integrated the API into their production pipelines.

Social Fetch offers a pay-as-you-go pricing model starting with 100 free credits that never expire, requiring no credit card for signup. At scale, pricing drops to $1.65 per 1,000 lookups. Credits are purchased in bundles and never expire, providing flexibility for teams with variable usage patterns. Volume discounts are available for enterprise customers; interested teams can contact the sales team directly. The free tier allows immediate testing and small-scale integration without financial commitment.