Two Browse.ai scale patterns. Bulk Run: upload a CSV of URLs and run the robot across up to 50,000 pages at once - that is how you turn a one-page robot into a real dataset instead of clicking through URLs manually. And for change tracking, the Monitor robot watches a page (whole page or specific data points) on an hourly-to-weekly schedule, alerts on changes, and keeps a history of what changed when. Competitor price tracking is the canonical use case.

Context: Browse.ai guides (fahimai.com): the Bulk Run feature lets you upload a CSV of URLs and scrape up to 50,000 pages at once - process many pages simultaneously instead of running the robot one URL at a time. Separately: the Monitor Websites robot tracks changes on a page (full page or specific data points) on a schedule from every hour to once a week, sends notifications when changes are detected, and keeps a History tab showing what changed and when.