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GraphQL: guides & tutorials
Consume GraphQL APIs and merge them with scraped fields when REST is awkward. Apify can supply missing attributes your headless CMS or gateway omits.
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GraphQL APIs let you request exactly the fields you need, and many sites expose one behind the scenes. These guides cover consuming GraphQL endpoints and merging them with scraped fields when REST is awkward.
Targeting a GraphQL endpoint is often cleaner than parsing rendered HTML. Apify can supply attributes a gateway or headless CMS omits. Below you will find patterns for combining GraphQL with scraping.

Web scraping APIs fall into three categories: public APIs (official, stable, no scraping needed), unofficial or reverse-engineered APIs (hidden endpoints used by the frontend), and scraping APIs (services like Apify, Bright Data, Firecrawl that handle scraping for you). This guide covers finding hidden APIs, REST and GraphQL scraping patterns, authentication, rate limiting, pagination—and when to use a scraping API service instead of building your own. Try Apify API · Firecrawl API

Parsing heavy, asynchronous React or Vue DOMs using standard HTML parsers (BeautifulSoup/Cheerio) is inherently fragile. UI engineers frequently refactor className hashes or alter structural <div> hierarchies, permanently breaking downstream text-extraction pipelines.
However, modern Single Page Applications (SPAs) are merely visual shells. The actual semantic data is transmitted asynchronously via backend XHR/Fetch endpoints. By directly intercepting and reverse-engineering these internal JSON/GraphQL API requests, data engineers can completely bypass the browser rendering engine, achieving sub-millisecond execution times and absolute structural guarantees.
This engineering guide documents the network forensic techniques required to locate, authorize, and extract data directly from undocumented enterprise APIs.