Professional system with Chrome extension + Python receiver for monitoring, filtering and automated booking on the Amazon Relay loadboard. Detection profile identical to a real user.
From fetch interception to WebSocket dispatch — every component optimized for zero detection and minimal latency.
Strict PAGE/ISOLATED/SW architecture. Monkey-patch fetch + XHR for transparent capture.
WebSocket + HTTP server for capture, dispatch and storage. Local SQLite for audit.
6 live charts + tabs for recent captures and raw JSONs from RAM with ZIP download.
Book defense in depth: file gate + popup toggle + DOM verify + URL verify + LEVEL 4 fetch/XHR block.
Click on the native Refresh button. Full telemetry, indistinguishable from a real user.
Instant push to dispatchers (UI, agent, etc). Queue with reconnect + backoff on connection loss.
Tours page with custom filters: country, city, distance, payout, ppd, duration, equipment, time windows, multi-stop.
Ring buffer with last 1000 raw JSONs in RAM. ZIP download with _manifest for audit/replay/training data.
Automatic move-to-top on new tours, CSS highlight, configurable sounds (new/price/booked), auto-clear timer.
Live dashboard, UI with filters, stats modal, raw JSON viewer — all in a consistent dark design.
Images are loaded dynamically. For admin: → open /admin
Browser → WebSocket LAN → Python Receiver → Multi-dispatcher broadcast
Amazon page JS makes the request normally /api/loadboard/search
injected.js monkey-patch captures response + measures fetch_ms
postMessage → content_script → background SW
background.js sends payload through WebSocket to receiver
Receiver diff vs POOL → parallel broadcast to dispatchers
Detection profile identical to a real user using the Amazon Relay UI.
__relay_capture: true — they have no listener with this filter.
Only mature technologies, no hype. Zero JS framework in browser for capture.
Everything you need: Chrome extension, Python receiver, and 5 minutes of configuration. The complete documentation guides you step by step.