Every social platform.
One structured API.

FetchLayer is a structured social data API for developers and AI agents. It provides public discussions, app reviews, and video comments as clean JSON through REST and MCP, so you get consistent fields back regardless of which platform you are pulling from. There is no scraper code to write or maintain, no proxy pool to rotate, and no HTML to parse — every endpoint returns the same predictable JSON shape. The API runs at 99.5% uptime across all endpoints and never serves cached results: every call fetches live, publicly available data at the moment you request it. Authentication is a single Bearer token, and every endpoint is a POST with a JSON body, so a working request in one language ports to any other in minutes. A free tier (no credit card required) is available across every platform, and pay-as-you-go pricing starts at $1.99 per 1,000 requests once you are ready to scale past it.

Reddit, Twitter/X, App Store, YouTube, Google Maps, and Google Play Store are live today — six platforms on one account. Reddit covers posts, comments, subreddits, and user profiles; Twitter/X covers tweets, profiles, and follower graphs; App Store and Google Play cover app search and public reviews; YouTube covers video comments and replies; Google Maps covers places and business reviews. Every platform uses the same Bearer token, the same request/response shape, and the same developer-first API model, so learning one endpoint means you already know how the rest work. There are no per-platform sign-ups, no separate billing relationships, and no credit multipliers: one API request equals one credit everywhere. New platforms are added to every existing account automatically as FetchLayer ships them, with the same credentials and the same bill — no upgrade step and no new integration required on your end.

FetchLayer is for developers building social listening tools, lead generation workflows, research products, monitoring systems, and AI agent integrations that need public platform data without scraper maintenance. If your product needs to read what people are saying on Reddit, track App Store or Google Play reviews, pull YouTube comments, or watch Twitter/X for mentions — and you would rather call a stable JSON API than run and babysit your own scraping infrastructure — this is built for that. It is also used as a second source behind an existing pipeline: teams route queries to FetchLayer when their primary provider rate-limits or goes down, without changing their data model. Individual developers use the free tier and pay-as-you-go pricing to prototype and ship small projects; teams running production monitoring or research pipelines typically move to a subscription plan (from $25/mo) or an Enterprise/Unlimited tier once volume becomes predictable.

Yes. FetchLayer supports direct REST access and a native Model Context Protocol (MCP) server, so tools like Cursor, Claude Desktop, Claude Code, and Windsurf can use social data through normal agent tool-calling instead of custom wrapper code. The MCP server runs at mcp.fetchlayer.dev and exposes tools across all six supported platforms — an agent can search Reddit, pull App Store reviews, or check YouTube comments the same way it would call any other tool in its toolbox. Setup is a config-file change per client, not a new integration — see fetchlayer.dev/mcp for connection steps by client. Because the agent receives typed JSON rather than raw HTML, it does not burn context re-parsing pages or fail when a platform changes its markup. This is also why FetchLayer publishes machine-readable service manifests (llms.txt, an MCP server card, and per-platform agent-skill definitions) alongside its human-facing docs.