By submitting, you consent to our use of your data. Privacy Policy.
Category
Business Management
Built by
Beam.ai
Snapshot live web pages at volume and store the files in your systems, automating monitoring work like archiving pages every night.
High-volume capture
ScreenshotOne handles large numbers of screenshots reliably. A Beam agent submits URLs in batches on a trigger, reads each returned image, and applies your rule for filing it against the right record. Successful captures land in your store with a source link and time. When individual calls in a batch fail, the agent separates them, retries under your rule, and, if they still fail, flags those URLs for a person rather than reporting the whole batch as done, so nobody assumes a page was captured when its image never actually arrived.
Scheduled archiving
ScreenshotOne suits recurring jobs that record how pages look over time. A Beam agent triggers a run on your schedule, reads every image, and files each with a timestamp to build an ordered archive. Pages that render cleanly are stored against their record automatically. If a run returns far fewer images than expected, or many come back blank, the agent pauses and notifies a person instead of overwriting yesterday's good captures, so a temporary outage on the target site does not leave a gap disguised as a normal night of collection.
Failed render routing
ScreenshotOne reports when a capture does not complete. A Beam agent reads the status of each call, and where the connector allows applies your retry rule to the ones that failed. Captures that recover are filed normally with their source and time. Calls that keep failing are set aside and handed to a person with the URL and error, so someone can check whether the page blocks capture, loads too slowly, or needs settings beyond the standard rule, rather than the failure passing unnoticed into an otherwise complete run.







