No-code scraper configuration

Browserhub lets a user point at a web page and define what to extract without writing a script. A Beam agent uses an existing scraper configuration as the trigger source: when a scheduled run completes, it reads the newly extracted rows, checks them against the rule the customer approved, such as a price threshold, a new listing, or a changed field, and updates the destination system accordingly. If a page structure changes and extraction returns empty or malformed fields, the agent stops and routes the scraper to a person to rebuild the selectors, rather than passing bad data downstream.

Scheduled and recurring extraction runs

Browserhub can run a scraper on a schedule so data stays current without a person re-running it by hand. A Beam agent watches for each completed run, reads the output dataset, and compares it to the previous run to find what changed: new rows, removed rows, or updated values. Where the customer has approved a rule, such as flagging a price drop or a new competitor product, the agent updates a tracking sheet or notifies the right channel. Runs that fail, time out, or return unexpectedly low row counts are routed to a person to check the source page.

Export extracted data to other systems

Once Browserhub pulls data from a page, it needs to land somewhere useful, a spreadsheet, a database, or another tool downstream. A Beam agent reads the exported dataset after each run, maps the fields the customer has agreed on, and writes them into the destination system, updating existing records rather than duplicating them where an identifier match exists. Fields that do not map cleanly, or rows missing a required value, are held back and sent to a person to review before they enter downstream systems, keeping automation limited to clean, matched data.