Scrapingdome builds scalable extraction infrastructure for protected platforms, hidden APIs, and complex sources. Engineered to run reliably long after delivery.
Each engagement is a system delivered into the data format the client already uses: database, dashboard, sheet, or scheduled report.
Multi-jurisdiction monitoring across 100 counties for court filings with ownership distress signals. 5,000+ municipal meetings analyzed and indexed. Architecture scales to 40+ counties without code changes.
150K+ grocery products monitored every 2 to 5 hours across UK retailers behind enterprise bot management. 125K+ automotive parts synchronized daily. 100K+ real estate listings deduplicated and enriched with tax records.
50K+ companies classified via LLM with a configurable framework. 1,000+ medical clinic sources standardized for terminology. Entity extraction, validation, and classification pipelines in production.
Nine years in data extraction with a network security background. The systems we build keep running because the protections in front of them are part of the design, not an afterthought.
Bot Management, Turnstile, JS challenges. Approached at the network layer when possible, browser-based when necessary.
Sensor data analysis and sustained extraction at retail scale. Currently running 150K+ products at 2 to 5 hour intervals.
Device fingerprinting, behavioral signals, request shaping. In production for daily synchronization at six-figure volumes.
Persistent session strategy, environmental signal stability, and Human Challenge handling without breaking schedules.
reCaptcha v2 and v3, hCaptcha, Turnstile. Solver integration where appropriate, avoidance strategies where possible.
Mobile and web reverse engineering. Direct platform connections over headless browsers when the protocol allows it.
A library of platform adapters for the 90,000+ local governments in the United States. New government, same adapter. New data type, same adapters with different classifiers. The product is the accumulated knowledge of how these platforms work, packaged for reuse.
Permits in Florida. Court filings in North Carolina. Meeting minutes across Utah. Business registrations in New York. Different verticals, same pattern: identify the platform, activate the adapter, configure filters and classifiers, deliver.
Best fit for operations leads, founders, research teams, and technical leaders who want to delegate the problem, not collaborate on the solution.
Outcome, scale, deadline. We do not need a specification, we need to understand the result you need.
Architecture, stack, anti-bot strategy, scheduling, delivery format. If your stated approach has a better alternative, you hear it before any quote.
Database, dashboard, sheet, scheduled report. Delivered into the format your team already uses, with the system running, not as code thrown over a wall.
Direct platform connections over browsers when possible. The result matters, the plumbing does not.