On-demand page fetch

A Beam agent requests a single page through the Zenscrape API the moment a workflow needs its content, for instance when a record lacks a detail your team wants filled in. It sends the URL, reads the returned HTML or rendered output, and lifts the specific values named in your rule. Those values update the originating record automatically. If the page cannot be reached, returns an error, or the wanted detail is absent, the agent leaves the record untouched and asks a person to look, so guesses never overwrite real data in your systems.

Blocked-request handling

Scraping targets often try to block automated visitors, and Zenscrape works to get past that. A Beam agent reads the status of each attempt and, following your approved retry limits, tries again through Zenscrape before giving up. It keeps a count of which sites cooperate and which resist. When a target stays blocked after the allowed attempts, demands a login, or starts serving content that looks like a challenge page rather than real data, the agent halts and hands the case to a human instead of retrying endlessly and burning your quota.

Scheduled scrape runs

For sources you watch regularly, a Beam agent runs Zenscrape on the cadence your team sets, daily, hourly, or whatever fits. At each run it gathers the pages on your list, reads the results, and writes the parsed fields into your records while noting what changed since last time. A digest of new or altered items goes to your chosen channel. Large unexpected swings, pages that vanish, or layouts that break the parsing rule are escalated to a person so a quiet failure does not go unnoticed for days.