Web Scraping
Automated collection of publicly available web data at scale - pricing, listings, hiring, reviews - turned into structured datasets.
Web scraping is the automated extraction of data from public web sources, and one of the most common inputs to an alternative data product. At the scale a data provider operates, it is less about a single script and more about running a resilient fleet: headless browsers that render JavaScript, rotating proxies to avoid single-IP throttling, and respect for each site's rate limits and terms. The output is a live view of activity - prices, product availability, job postings, reviews - as it changes.
The engineering difficulty is rarely the first fetch; it is staying correct over time. Pages change their layout without warning, anti-bot measures evolve, and a selector that worked yesterday silently returns nothing today, so a scraping system needs monitoring that catches a source going quietly empty. Once collected, the raw HTML is worthless until it is parsed into a consistent schema, deduplicated, and normalized - which is where most of the real value is added.
Real-time data, at edge speed.
A live evaluation measures EdgeOrigin against your coverage requirements: decision-ready real-time data, delivery latency into your systems, and record-level provenance.