Unified social data API
Use one normalized REST API for social profile lookups, posts, engagement metrics, and related public data instead of maintaining platform-specific scraping code.
Social Fetch
Social Fetch is a social media scraping API for public profiles, posts, comments, transcripts, and metrics across major platforms. It uses pay-as-you-go credits, starts with 100 free credits, and includes a TypeScript SDK for typed integrations.
Overview
Social Fetch is a social media scraping API that exposes public profiles, posts, comments, transcripts, and metrics through a single REST interface. The home page positions it as a way to query major platforms without maintaining your own scraping infrastructure.
The documentation describes a normalized JSON workflow built around a consistent `{ data, meta }` response envelope, a single `x-api-key` authentication header, and a base URL at `https://api.socialfetch.dev`. The service supports platforms including Instagram, TikTok, X/Twitter, YouTube, Facebook, LinkedIn, Reddit, Threads, Telegram, Spotify, and web page fetches, with a TypeScript SDK available for typed integrations.
Pricing is pay as you go rather than subscription-based. The pricing page shows 100 free credits on signup, one-time credit packs, optional auto top-up, and a custom Business tier for volume use.
Core capabilities
Normalized response format
The docs describe a consistent `{ data, meta }` response envelope across platforms, which makes it easier to swap sources without rewriting client logic.
Multi-platform coverage
Coverage shown in the docs includes Instagram, TikTok, X/Twitter, YouTube, Facebook, LinkedIn, Reddit, Threads, Telegram, Spotify, and web page fetching.
API-key authentication
The quickstart explains the auth flow: create an API key, send it as `x-api-key`, and make requests against `https://api.socialfetch.dev/v1`.
TypeScript SDK
The site offers a TypeScript SDK published as `@socialfetch/sdk` with typed methods, `Result` handling, and `unwrap()` support for exception-style flows.
Agent-friendly documentation
Docs include machine-friendly assets such as `/llms.txt`, `/llms.json`, and `/openapi.json`, plus a prompt for Cursor, Claude Code, and other AI tools.
Common use cases
Cross-platform social data collection
Build internal tools or customer-facing features that need public social profile data, posts, comments, or metrics from multiple networks without stitching together separate scrapers.
TypeScript app integration
Create a TypeScript application with typed client methods and predictable error handling, rather than calling raw HTTP endpoints directly.
Agent-assisted implementation
Use the documented AI-oriented resources and prompt flow to help coding agents or IDE assistants wire the API into a project.
Prototype before scaling
Start on the free tier, validate the output format, then move to one-time packs or auto top-up as request volume grows.
Web and content lookup
Fetch content and metadata from a web page when the workflow extends beyond social platforms and needs page-level extraction.
Pros and Cons
Pros
- Covers a broad set of major social platforms from one API.
- Uses a consistent response envelope across platforms, which simplifies client code.
- Offers a TypeScript SDK with typed methods and structured error handling.
- Provides machine-readable docs assets for AI tools and code generation.
- Includes a free tier and pay-as-you-go pricing with no subscription requirement.
Cons
- The source does not provide full docs for every workflow or every route in the collected material, so some capabilities are only described at a high level.
- The API requires a valid `x-api-key`, and the docs say keys should stay server-side rather than being shipped in browsers or mobile apps.
- Pricing depends on credits, so heavier usage requires monitoring usage and top-ups.
FAQ
What does Social Fetch do?
Social Fetch provides a normalized REST API for public social data. The docs show profile lookups and coverage for posts, engagement metrics, transcripts, and platform-specific lookups across supported networks.
How do you get started with the API?
The docs say the base URL is `https://api.socialfetch.dev`, authentication uses the `x-api-key` header, and the first step is to make an authenticated request from the Quickstart guide. The TypeScript SDK is available as `@socialfetch/sdk`.
Which platforms and data types are supported?
Supported coverage on the docs page includes Instagram, TikTok, X/Twitter, YouTube, Facebook, LinkedIn, Reddit, Threads, Telegram, Spotify, and web page fetching. The homepage also highlights profiles, posts, comments, transcripts, and metrics.
How is Social Fetch priced?
The pricing page shows a free tier with 100 credits on signup, one-time credit packs, optional auto top-up, and a custom Business tier for volume pricing.
Is Social Fetch suitable for team or agent workflows?
The docs recommend keeping the API key server-side only and not shipping it in browsers or mobile apps. For AI tools, Social Fetch also provides docs-friendly endpoints such as `/llms.txt`, `/llms.json`, and `/openapi.json`.
Quick Facts
- Category
- Developer Tool
- Product type
- Social media scraping API
- Source domain
- socialfetch.dev
- Base URL
- https://api.socialfetch.dev
- Pricing model
- Free tier plus pay-as-you-go credits
- SDK
- TypeScript SDK (`@socialfetch/sdk`)
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