→How to Migrate from Obviously AI to Browse AI (Step-by-Step)
Last updated: April 2026
While Obviously AI excels at predictive analytics from spreadsheet data, Browse AI serves a fundamentally different purpose: web data extraction and monitoring. You might migrate if your needs have shifted from internal data predictions to gathering external web data for competitive intelligence, price monitoring, or lead generation. This guide covers the complete migration process, including data export/import strategies, feature mapping between these distinct platforms, and practical steps to transition your workflows. Since these tools address different use cases, migration involves rethinking how you'll achieve similar business goals with new capabilities.
Estimated Timeline
solo user
3-5 days (due to conceptual shift between tools)
small team
1-2 weeks (including training and workflow adjustments)
enterprise
3-4 weeks (with integration development and change management)
Migration Steps
Audit Your Obviously AI Usage
mediumExport Your Source Data
easyIdentify Web Data Requirements
mediumSet Up Browse AI Account & Robots
mediumConfigure Data Destinations
mediumRecreate Monitoring Dashboards
hardRun Parallel Systems & Validate
mediumDecommission Obviously AI & Train Team
easyFeature Mapping
| Obviously AI | Browse AI Equivalent | Notes |
|---|---|---|
| Predictive model building from spreadsheets | Web data extraction robots | Fundamental difference: Browse AI doesn't create predictive models but gathers external data that could inform similar decisions |
| Automated predictions on new data | Automated data monitoring & alerts | Browse AI alerts when web data changes rather than predicting future values |
| Model accuracy metrics & explanations | Data extraction accuracy & preview | Browse AI shows extraction accuracy visually rather than statistical model metrics |
| One-click model deployment | Pre-built robots for common sites | Similar ease but for different purposes: deployment vs. data collection setup |
| CSV/Excel data import | Google Sheets/Airtable integration | Browse AI outputs to these platforms rather than importing for analysis |
| Business insight dashboards | Extracted data dashboards | Dashboards show monitored web data trends rather than prediction visualizations |
| Classification & regression models | Structured data extraction | No direct equivalent; Browse AI extracts data points rather than classifying them |
Data Transfer Guide
Export from Obviously AI: Navigate to Datasets section, select each dataset, click Export to download CSV files. For predictions, use Results export. Save all files with clear naming conventions. Import to Browse AI: Browse AI doesn't import historical spreadsheets for analysis but can use them as reference. Upload CSV files to Google Sheets or Airtable, then connect Browse AI to these sheets via integration. Alternatively, use Browse AI's API to push historical data to your database. The key difference: Obviously AI data becomes reference material rather than active training data, as Browse AI focuses on fresh web extraction rather than predictive modeling from static datasets.