Self-healing web telemetry at scale.
Continuous price intelligence powered by Bright Data AI Flow, deterministic schema normalizers, and instant Supabase delta mutation tracking[cite: 1].
Where chaotic web markup crystallizes into clean structured data.
Standard web scrapers crash whenever e-commerce sites update DOM structures or deploy anti-bot defenses[cite: 1]. Our engine combines Bright Data's AI Flow collectors with deterministic Python parsing, ensuring zero hallucinations and continuous pipeline uptime[cite: 1].
Every product snapshot streams simultaneously into Supabase and a local CSV ledger, maintaining an unbroken history of price shifts and stock mutations[cite: 1].
How bdata Self-Heals Scrapes
When an e-commerce platform alters its HTML hierarchy, the collector auto-patches itself via heuristic AST regeneration without downtime[cite: 1].
Prompt to Production
A three-phase prompt-to-production pipeline delivering continuous data reliability[cite: 1].
Autonomous Ingestion & Healing
app.py executes the Bright Data Direct Cloud API to extract unstructured product data[cite: 1]. If layout mutations or anti-bot defenses trigger null values, AST healing dynamically repairs the collector pipeline[cite: 1].
Deterministic Schema Standardizer
Clean extraction casts arbitrary JSON-LD, microdata, and nested payloads into verified numeric floats and standardized stock states.
Price Drop & Restock Intelligence
The Flask API receives the payload, compares it with the previous snapshot in Supabase, tags mutations (price_drop, restock, new_item), updates the CSV ledger, and reflects changes live[cite: 1].
Fleet Command Console
Tracked Product Fleet
Click any product row to open the deep historical analytics studio.
Live Delta Events
Real-time mutation stream from Supabase.
Autonomous Self-Heal
Bright Data AI Flow telemetry proof.
[STATUS]: Anti-bot mesh bypass verified. Ingestion streaming into Supabase & CSV[cite: 1].