Large-scale extraction looks easy until a source site changes its markup, starts rate-limiting, or returns a soft-block page that still looks like a success. This research area covers the techniques that keep Scraper reliable despite all of that.
Core problems
- Scheduling crawls so they respect rate limits without falling behind
- Detecting when a "successful" response is actually malformed or incomplete
- Adapting extraction rules when a source site's structure changes, with minimal manual intervention
A crawler that fails loudly is easy to fix. One that fails quietly is the real risk.
See the related engineering note on Scraper's resilience work for a concrete example of this in production.