No-code collectors

Webscrape AI gathers structured data from web pages without custom code, returning rows of fields you define. A Beam agent triggers a collection run, reads the returned rows, and writes them into your database, sheet, or CRM under your mapping. It applies rules to skip duplicates and flag rows that fail a format check. Runs that come back empty, return far fewer rows than usual, or fail a validation rule are held for a person, who checks whether the source page changed before the data feeds anything downstream.

Scheduled runs

Webscrape AI can pull the same source on a repeating schedule to keep a dataset fresh. A Beam agent kicks off each run, reads the new results, and compares them to what it stored last time so only real changes are written. It appends new records, updates changed ones, and notes when a field goes missing. Big swings between runs, such as a price that moved far more than expected or a field that disappeared, are escalated to a person, who confirms the change is real before it updates a live record.

Data delivery

Collected data is only useful once it reaches the systems your team works in. A Beam agent takes each Webscrape AI result, maps its fields to your destination, and writes the records where they belong, tagging the source and run date. It can alert a channel when a run finishes or a watched value crosses a threshold you set. Records that arrive malformed, or that would overwrite trusted data with a lower-confidence value, are set aside for review so a person decides whether to accept or discard them.