API Extraction & Reverse Engineering
We find the hidden JSON APIs behind web apps and pull data directly. It is faster, cheaper and more reliable than rendering pages.
Skip the browser and hit the API
Most modern websites load their data from hidden JSON endpoints. Apex Automation Team inspects network traffic, WebSockets and authentication tokens to discover those endpoints and build extractors that call them directly. That is dramatically faster, cheaper to run and far less fragile than rendering pages. You can watch the discovery step yourself: finding the endpoint a page calls takes a browser and ten minutes. Where the two approaches differ is set out in rendering a page against calling its API.
What we do
- Hidden API discovery and network call analysis
- Direct API token mining, signed-request and header reproduction
- AJAX / XHR / GraphQL data extraction with JSON structured export
- Reverse engineering of web and mobile app backends
- Rate-limit-aware, resumable extraction at scale
Why it matters
- Speed: thousands of records per minute instead of one rendered page at a time
- Reliability: APIs change less often than page layouts
- Cost: no headless browsers, proxies or captcha solving for most targets
- Completeness: APIs often expose fields that never appear on the page
Pricing
Quoted after a free feasibility test. Most projects land between $100 and $1,500 depending on authentication complexity and volume. Delivered as clean JSON/CSV/Excel or as a reusable extractor.
Frequently asked
How do you find a hidden API?
We inspect the network traffic the site makes to itself, identify the JSON endpoints behind the page, and reproduce those calls with the right headers, tokens and pagination. Our DevTools guide walks through the same method.
Is it more reliable than scraping the page?
Usually yes. Direct API calls are faster, far cheaper to run and less likely to break on a redesign, because they do not depend on the page layout.
What if the endpoints are signed or rate limited?
We use a hybrid approach: a browser establishes the session and the extractor uses it, with pacing that respects the limits we measure in the free feasibility test.