source-discovery

Discover public crime data from undocumented web dashboards by using network inspection and scraping techniques to reverse-engineer hidden API endpoints and ingest the underlying data directly.

API reverse engineering for data sourcing involves inspecting network traffic from complex web applications to identify and extract hidden, undocumented endpoints for automated data collection.

Evaluate data quality and licensing for scraped crime data by applying systematic assessment mechanisms that check freshness, geocoding potential, and usage rights for each discovered source.

Yes, you can extract crime data from PDFs and web pages simultaneously using aggressive discovery strategies that support diverse formats, ranging from official APIs to direct scraping and PDF extraction.

The best way to identify coverage gaps in known crime data sources is to begin a discovery session that checks the current state of existing sources and systematically maps missing data coverage.

You do not always need to write custom code from scratch because the infrastructure provides clear guidelines and extensibility mechanisms for adding new data fetchers and improving the discovery system.