webcrawl

To scrape web sources for real-world policy and economic benchmarks, you can use a multi-provider retrieval pipeline that fetches and archives relevant pages into a structured directory. This automatically triggers when problem backgrounds signal industry, geography, or economy data.

Web crawling does not apply to pure math or physics mechanism problems. The process conditionally decides to source web data only when real-world policy, industry, geography, or economic references are explicitly required by the task background.

The best way to handle failed direct URLs or login walls is using a robust failure handling strategy that provides clear diagnostics for timeouts, HTTP errors, and missing keys. It employs fallback mechanisms across search-then-read and scraping APIs.

You can use Jina Reader for single-URL reading and Firecrawl for scraping industry references required by evaluation questions. These engines are part of a multi-provider pipeline that supports search-then-read operations with fallbacks.

The retrieval pipeline ensures traceability by saving fetched web pages into a structured external web directory with deterministic storage. Each archived page includes standardized header metadata containing the source, fetched time, and original URL.

You need API keys for Tavily, Exa, and SerpAPI to execute search-then-read operations. The pipeline includes robust failure handling that covers missing keys with clear diagnostics instead of silently continuing the retrieval process.