How to Migrate from Browse AI to Rows (Step-by-Step)
Last updated: April 2026
Migrating from Browse AI to Rows makes sense when your data needs evolve beyond simple extraction into analysis, automation, and collaboration. While Browse AI excels at no-code web scraping, Rows transforms that raw data into interactive spreadsheets with live connections, AI enhancements, and team workflows. This guide covers exporting your Browse AI datasets, recreating monitoring logic in Rows, setting up equivalent automations, and leveraging Rows' advanced features for deeper insights. You'll learn how to maintain data continuity while upgrading to a more powerful data platform.
Estimated Timeline
solo user
2-4 hours for basic setup, plus 1-2 weeks parallel run
small team
2-3 days for full migration with team training
enterprise
2-3 weeks including custom connector development and validation
Migration Steps
Audit Your Browse AI Setup
easyExport Historical Data from Browse AI
easySet Up Rows Workspace and Data Sources
mediumRecreate Data Collection in Rows
hardRebuild Alerts and Notifications
mediumImplement Advanced Rows Features
mediumParallel Run and Validation
mediumDecommission Browse AI and Train Team
easyFeature Mapping
| Browse AI | Rows Equivalent | Notes |
|---|---|---|
| Pre-built robots for common sites | Rows templates and IMPORTFROMWEB function | Rows offers spreadsheet templates for common data sources but requires more manual setup for website-specific selectors compared to Browse AI's one-click robots |
| Visual no-code interface | Spreadsheet interface with formula builder | Rows uses familiar spreadsheet UI rather than visual workflow builder; some learning curve for non-spreadsheet users but more flexible for data manipulation |
| Automatic change alerts | Conditional formatting + notification automation | Rows can replicate alerts through multiple features but requires more configuration than Browse AI's dedicated alert system |
| API integration | Built-in connectors + API function | Rows offers more extensive native connectors to business apps while maintaining API capabilities for custom integrations |
| Scheduled monitoring | Scheduled refresh + automation triggers | Rows provides similar scheduling through workbook refresh settings and automation workflows |
| Data extraction without coding | IMPORTFROMWEB + Rows AI for patterns | Rows requires understanding of CSS selectors or AI pattern recognition rather than point-and-click element selection |
| Team collaboration on data | Real-time co-editing + commenting | Rows offers superior collaboration features with granular permissions, version history, and simultaneous editing |
| Simple data export | Multiple export options + data apps | Rows provides more export formats and the ability to create interactive data apps for sharing insights |
Data Transfer Guide
Export data from Browse AI by navigating to each robot's dashboard, selecting 'View Data,' and using the CSV export option. For large datasets, you may need to export in batches by date range. In Rows, create a new spreadsheet and use the 'Import' function to upload your CSV files. For ongoing data transfer, set up Rows' API connector to receive webhooks from Browse AI during the transition period. Alternatively, if Browse AI exports to Google Sheets, connect Rows directly to those sheets using the Google Sheets connector for real-time synchronization. Clean imported data in Rows using AI-powered data transformation tools to standardize formats and remove duplicates.