Large-Scale Site Crawling

Scrapeless crawls many pages across a site and returns their data as structured output. A Beam agent starts a crawl over the sources your team approved, reads the results as they land, and files new and changed items into your records. It works through the queue on your schedule and logs progress. Crawls that stall, hit a block, or return output that fails your checks are not pushed into records; the agent pauses the run and routes the problem to an operator, who reviews the target and decides how to continue the crawl.

Structured Data Delivery

Scrapeless returns scraped content as clean fields rather than raw HTML. A Beam agent requests the pages your team listed, reads the parsed fields, and maps them onto your schema so the data arrives ready to use. It updates the matching records and marks what changed. Pages that come back partial, with a layout the parser could not read, or with values that break your rules are held back; the agent flags them and hands the batch to a person, who inspects the raw output and decides how the data should be filed.

Anti-Block Scraping Sessions

Scrapeless manages sessions so requests reach pages that would otherwise block a plain scraper. A Beam agent runs the approved targets through these sessions, reads what returns, and writes the usable results into your systems on the cadence you set. It notes each session and its outcome. Targets that keep failing, return a challenge page, or produce data that trips your validation are not retried endlessly; the agent stops and notifies an operator, who reviews the source and decides whether to change the approach or drop it.