CRAWL_INFRASTRUCTURE · IN_PRODUCTION

APEX.

A crawl platform for targets engineered to refuse extraction. Not a collection of scripts — a layered system where fingerprinting, identity, solving, and egress are separate, tested components. Data products run on top of it; custom pipelines for clients are built from the same layers.

Architecture

Four layers.

Anti-bot toolkit

TLS fingerprint shaping (JA3/JA4) via BoringSSL-backed clients, header-order discipline, HTTP/2 settings matching. Requests leave the platform indistinguishable from the browser they claim to be.

Identity & session layer

Persistent personas with stable session IDs, trust aging, and cookie jar continuity. Sessions accumulate reputation instead of burning a fresh identity per request.

Browser-solver bank

A Python farm that solves challenges once and banks the tokens — CAPTCHA clearances and signed tokens are reused across the fleet instead of solved per request.

Residential proxy mesh

Self-managed exit nodes with reverse-tunnel enrollment. No third-party proxy dependency, rotation policy owned end to end.

Open_Source · Components

The public layer.

Detection, transport, and mobile-RE components of this platform, published and pinned on GitHub. The mesh, escalation policy, and orchestration stay private.

In_Production

Running on it.

Data Vertical · Food Delivery

Restaurant & venue intelligence.

The flagship pipeline starts where the public web ends: the data lives in a mobile app, not HTML. The API was reverse-engineered from the APK — JADX for decompilation, Frida and objection for SSL pinning bypass — then rebuilt as a production crawler on the APEX layers above.

Thousands of venues tracked daily across major metros, with every menu, price, and availability change recorded as a queryable event stream.

Pipeline_Output

Venues tracked7,000+
Change events recorded87,000+
Daily throughput2,000+ venues/day
SourceMobile API · APK → crawler

Data Vertical · Automotive Classifieds

Vehicle market intelligence.

Recurring crawls across Europe's major car marketplaces — targets behind Cloudflare, DataDome, and Fastly Bot Management. Several of these stacks had stopped the internal crawling teams of a European automotive data group, including one target where a lead engineer's three-month solution never stabilized. APEX serves those edge cases in production.

The same four layers, pointed at classifieds: fingerprint-shaped transport, identity continuity, and escalation only when the target demands it.

Pipeline_Output

Listings extracted2M+
MarketsMultiple EU countries
Stacks passedCloudflare · DataDome · Fastly
StatusProduction

CUSTOM_PIPELINES

Need data from a target that resists it?

The same four layers get pointed at your target — site or mobile app, behind Cloudflare, DataDome, or PerimeterX. Fixed scope, senior-level only.

RAHMOUNIDEV · APEX_PLATFORM

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