About FetchLayer.

FetchLayer is a structured public-data API. It turns social feeds, app stores, ad libraries, review sites, maker communities and online storefronts — Reddit, Twitter/X and YouTube through to Trustpilot, the Facebook and Google ad libraries, Product Hunt and Shopify — into clean JSON over REST or MCP, so developers and AI agents can query them directly instead of building and maintaining their own scrapers, proxies, and parsers.

The product exists because that infrastructure work is repetitive and never really finishes: managing proxies and sessions, handling retries, fixing selectors after a platform redesign, working around new rate limits and bot detection — all before you get to the data you actually wanted. FetchLayer puts that layer behind a single API. You call an endpoint, you get structured JSON back, and the scraping, retrying, and platform-specific quirks stay on our side.

Every call is live — there's no cached database of old posts sitting between you and the source. That's a deliberate trade-off: it costs more to run than serving stale data back out of a warehouse, but it means the result reflects what's actually on the platform right now, which matters for monitoring, research, and anything an AI agent is meant to act on.

What that looks like in practice: 36 platforms live on one account, one Bearer token, and one price list. Reddit is still the deepest coverage at 16 endpoints — search, full comment trees, subreddit feeds, user profiles and history. Twitter/X covers search, tweet detail, profiles and follower graphs; YouTube covers video comments and replies. App Store and Google Play cover app search and public reviews, and Trustpilot, Glassdoor, Tripadvisor and Google Maps cover the review side — companies, employers, places and businesses. Four ad libraries (Facebook, Google, TikTok, LinkedIn) cover public ads, their creative files and the advertisers running them. Product Hunt, Printables and MakerWorld cover launches and maker communities, and Shopify and WooCommerce read any storefront's catalogue, prices and stock, Amazon covers live prices, product details and search, and Bing and DuckDuckGo cover web results and rank checks. Every one of them is a POST with a JSON body and the same auth header, so the second platform you integrate takes a fraction of the time the first did.

Most of what people build on it falls into a few shapes: brand and competitor monitoring, lead generation from public buying-intent signals, product research against app reviews and comment threads, and AI agents that need to read real discussion rather than guess at it. That last one is why FetchLayer ships a native MCP server alongside the REST API — an agent in Cursor, Claude, or Windsurf can call the same endpoints as a tool, without anyone writing wrapper code for it first.

FetchLayer is built and operated by HootCodes LTD, based in the EU. The product is built and maintained by a small team, led by Alex P., who also writes most of the guides and documentation on this site, based on problems encountered while building the product itself.

The scraper libraries behind FetchLayer's platform APIs are published as open source under the fetchlayer-dev organization on GitHub, and as npm packages (@fetchlayer/reddit, @fetchlayer/twitter) — the underlying scraping logic is inspectable, not a black box you have to trust blindly.

FetchLayer is an independent, third-party service. It is not affiliated with, endorsed by, or sponsored by Reddit, Inc., X Corp., Apple Inc., Google LLC, YouTube, or any other platform named on this site — it accesses only publicly available information: the same posts, reviews, ads, listings and product pages visible to any signed-out browser.