Headless Chrome rendering

ScrapingAnt loads pages in a real Chrome browser so scripted content appears. A Beam agent requests a URL on a trigger, waits for the rendered result, and reads the fields your rule names. Values that pass are written into your system with a source reference. If the page fails to render fully, or an expected element is missing after load, the agent does not write a partial record; it routes the URL to a person, who checks whether the site added a step, changed its markup, or needs a longer wait before capture.

Rotating proxy requests

ScrapingAnt sends each request through a rotating pool of proxies. A Beam agent runs the fetch, reads the response, and applies your retry rule whenever a route is refused. Pages that return cleanly move into parsing and land in your store, and the agent logs which attempts succeeded. When a target keeps rejecting requests across the allowed rotations, the agent halts that job, records the pattern, and passes it to a person, who decides whether the source is temporarily down or needs settings the standard rule does not cover for reliable access.

Unattended collection runs

ScrapingAnt suits jobs that repeat without a person watching. A Beam agent triggers a collection on your schedule, reads each returned page, and applies the approved parsing rule to build clean rows in the destination table. Every run carries a timestamp so gaps are visible. If a run returns far fewer records than usual, or a required field goes empty across many pages, the agent pauses and notifies a person rather than overwriting good data, so a silent site change does not corrupt the dataset your team works from each morning.