Social Fetch API

Social Fetch API is the unified social data layer that eliminates the chaos of juggling multiple social media platform APIs. Instead of wrestling with different authentication schemes, inconsistent field names, pagination quirks, and unique failure modes for TikTok, Instagram, YouTube, LinkedIn, Reddit, and Threads, you get one versioned REST surface and one JSON envelope that returns the same field names across every platform. This is a cross-platform social scraping API built for developers who need public social media data as clean JSON without spending weeks configuring proxy infrastructure that will break the moment a platform updates its frontend. With over 150 operations covering profile scraping (handles, bios, followers, verification status), post scraping (captions, thumbnails, like counts, transcripts), comment scraping, hashtag search, keyword discovery, and engagement metrics, Social Fetch also extends its unified schema to Spotify, GitHub, Telegram, and web page extraction. The API serves production apps like Social Crow, Voice Gecko, and Story Clash, and has handled over 3.6 million lookups in the last 30 days alone with 99.8% uptime. Developer tools include OpenAPI JSON specs, a capability matrix per platform, n8n and Pipedream integrations, and an MCP server for AI agents. The pricing model is pay-as-you-go credits with no subscription required, documented credit costs per route, and a lookupStatus field for handling empty results gracefully. One API key unlocks every social network with the same JSON shape, so your team ships features instead of glue code.

Unified API Surface Across 17 Platforms

Stop memorizing different API docs for every platform. Social Fetch gives you one consistent REST endpoint structure, one authentication header (x-api-key), and identical JSON field names whether you are scraping TikTok profiles, Instagram posts, YouTube channels, LinkedIn company pages, or Reddit threads. The same field called followers returns the correct count for any platform, and the same pagination pattern works everywhere. This eliminates the cognitive overhead of maintaining separate integration code and lets your team focus on building products instead of debugging platform-specific quirks.

150+ Operations for Deep Social Data Extraction

This is not just a basic profile scraper. Social Fetch covers over 150 distinct operations including profile scraping (handles, bios, follower counts, verification badges, avatar URLs), post scraping (captions, thumbnails, like counts, comment counts, video transcripts), comment scraping with thread reconstruction, hashtag search across platforms, keyword discovery for trend analysis, and detailed engagement metrics. The API also extends to Spotify artist data, GitHub repository stats, Telegram channel information, and general web page extraction, all using the same unified schema and authentication model.

Built-in Developer Tools and AI Agent Support

Social Fetch ships with production-ready developer tools including an OpenAPI JSON specification for auto-generating client libraries, a capability matrix that shows exactly which endpoints work on each platform, and pre-built integrations for n8n and Pipedream workflow automation. The MCP server integration allows AI agents and LLM-powered applications to pull live social data directly into their reasoning pipelines. This means your AI tools can verify social profiles, analyze trending content, or enrich datasets without manual API orchestration.

Pay-As-You-Go Credits with No Subscription Lock-In

Forget monthly subscription plans that charge you even when you are not using the API. Social Fetch uses a credit-based system where you buy credits that never expire, and you only spend them when you make successful API calls. Each route has documented credit costs so you know exactly what each request will cost before you make it. The lookupStatus field in every response tells you whether the result is fresh data, cached, or empty, so you never pay for infrastructure failures. Pricing starts at $1.65 per 1,000 lookups at scale, and you get 100 free credits to start with no credit card required.

Social Media Monitoring and Brand Intelligence

Run continuous monitoring pipelines that track brand mentions, competitor activity, and industry trends across TikTok, Instagram, YouTube, LinkedIn, and Twitter simultaneously. Use the unified JSON schema to build dashboards that compare engagement metrics across platforms without writing custom parsers for each one. The keyword discovery and hashtag search endpoints let you identify emerging trends in real time, while the comment scraping features help you analyze sentiment and audience reactions at scale.

AI Agent and LLM Data Enrichment

Power your AI agents with live social media data using the MCP server integration. When an AI assistant needs to verify a LinkedIn profile, check a YouTube channel subscriber count, or pull recent tweets from a specific account, the Social Fetch API delivers structured JSON that the AI can process immediately. This enables applications like automated due diligence, influencer verification for marketing campaigns, and real-time social context for conversational AI systems.

Content Research and Creator Analytics

Content creators and marketing teams can scrape competitor profiles and posts to analyze what content formats perform best on each platform. Use the post scraping endpoints to collect captions, thumbnails, like counts, and comment volumes, then compare engagement rates across different content strategies. The transcript extraction feature works for YouTube and TikTok videos, enabling text-based analysis of spoken content for SEO research or topic clustering.

Automated Workflow Integration via n8n and Pipedream

Connect Social Fetch directly into your existing automation workflows using the pre-built n8n and Pipedream integrations. Trigger profile lookups when new leads enter your CRM, automatically enrich customer data with their social media presence, or build approval workflows that verify social media claims before publishing content. The consistent API surface means your workflows do not break when platforms change their data formats, because Social Fetch handles all the platform-specific parsing on its end.

What platforms does Social Fetch support?

Social Fetch currently supports 17 platforms including TikTok, Instagram, YouTube, LinkedIn, Twitter (X), Reddit, Threads, Spotify, GitHub, Telegram, and more. Each platform has a documented capability matrix showing exactly which endpoints are available for profile scraping, post scraping, comment scraping, hashtag search, and keyword discovery. The API is actively maintained and new platforms are added regularly based on developer demand.

How does the credit pricing system work?

Social Fetch uses a pay-as-you-go credit model with no monthly subscription. You purchase credits that never expire, and each API route has a documented credit cost that is displayed in the docs. You only spend credits on successful requests that return data. The lookupStatus field in every response indicates whether the result is fresh, cached, or empty, and you are never charged for infrastructure failures or empty results caused by temporary platform issues.

Can I use Social Fetch with AI agents and LLM applications?

Yes, absolutely. Social Fetch provides an MCP server integration specifically designed for AI agents and LLM-powered applications. This allows your AI systems to make live API calls to pull social media data directly into their reasoning context. The consistent JSON schema makes it easy for AI models to parse and understand the data without custom formatting. The API also works with popular AI frameworks and can be integrated via the OpenAPI specification.

What happens if a platform changes its data structure or breaks?

Social Fetch handles all platform-specific maintenance on its end. The team actively monitors all supported platforms for changes and updates the scrapers accordingly. Your integration code never needs to change because the API surface remains consistent regardless of what happens on the backend. If a platform is temporarily unavailable, the API returns a clear lookupStatus indicating the issue, and you are not charged for failed requests caused by platform downtime or infrastructure problems.

Social Fetch operates on a pay-as-you-go credit system with no monthly subscription fees. You get 100 free credits immediately upon signing up with no credit card required. After that, credits cost from $1.65 per 1,000 lookups at scale. Each API route has documented credit costs so you know the exact price before making a request. Credits never expire, so you can buy in bulk and use them over any time period. There are no hidden fees, no overage charges, and you only pay for successful requests that return data. For high-volume needs, the team offers custom pricing and volume discounts through direct contact.