Category
Business Management
Built by
Beam.ai
Launch Skyvern browser workflows and read their run outputs, automating repetitive web tasks like collecting data behind a login.
Scheduled browser runs
Beam starts Skyvern workflows at the times your process needs and reads what they return. On a schedule or an event you define, an agent kicks off the relevant browser workflow, waits for the run to finish, and reads its output. It applies your rule to that output, such as saving the result to a record or passing it to the next step. Each run is logged with its status. When a run does not complete, or returns something outside the expected shape, the agent stops and routes the case to a person to look into.
Data collection behind logins
Beam uses Skyvern to gather information from sites that need a browser session. An agent triggers a workflow that signs in and reads the target pages, then applies your rule to the collected data, for example updating a tracking record or comparing figures against yesterday's. Results are stored where your process expects them and the run is recorded. If a site changes its layout, a login step fails, or the workflow hits a prompt it was not built for, the agent does not force it; it notifies a person with the run details so they can adjust.
Run failure triage
Beam keeps an eye on Skyvern runs and sorts out the ones that break. When a workflow run fails or times out, an agent reads the error and status, applies your rule for what can be retried, and re-runs the ones that fit, such as a transient timeout. It records each attempt and the outcome. Failures that are not safe to retry, like an authentication problem or a changed page that could produce wrong data, are escalated to a person with the details rather than repeated blindly until they cause harm.







