–Returns clean Markdown output suitable for direct LLM ingestion
–Crawl mode with URL discovery automates site-wide data collection
–Proxies and anti-bot rotation are managed transparently
Cons
–Credits-based pricing becomes expensive for high-frequency crawls at scale
–Crawl jobs are asynchronous — polling pattern required adds implementation complexity
–Dynamic content loaded after scroll (infinite scroll) not always captured
–Rate of change in API means documentation occasionally lags behind released features
Use cases
–Competitive intelligence crawls
–Structured extraction from documentation sites
–News and blog monitoring pipelines
–LLM training data collection from trusted sources
Verdict
Best managed scraping solution for AI pipelines. Solves the JS rendering problem cleanly. For high-volume production crawls, evaluate self-hosted alternatives like Crawlee to control per-page costs.
