Browserbase is a powerful web data extraction platform that helps businesses collect and structure data from across the web.
Enhance your web data capabilities with AI agents that can automatically analyze and act on real-time information.
Browserbase excels at extracting and structuring web data at scale. Relevance AI transforms this data into intelligent actions through AI agents that can analyze, monitor, and respond to real-time web information.
Real-time Insight Generation
Agents can harness live web data for immediate decision-making.
Dynamic Data Adaptation
Agents automatically adjust strategies based on evolving market conditions.
Enhanced Predictive Analytics
Agents utilize structured data to forecast trends and inform strategies.
Relevance AI gives you access to Browserbase's web data extraction capabilities within your AI agent workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Browserbase account
- A Relevance AI account with access to your project
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Browserbase data. Relevance AI handles API operations through Browserbase's endpoints seamlessly—managing authentication headers and request formatting automatically.
Built-in request validation and response handling ensure reliable browser automation workflows, even with complex scenarios.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the Browserbase + Relevance AI integration without writing code:
- Configure browser settings: Set appropriate viewport sizes and user agents for consistent scraping.
- Optimize request handling: Use appropriate HTTP methods and handle rate limits responsibly.
- Structure API calls: Organize your paths and endpoints logically for better maintainability.
- Validate responses: Check status codes and response bodies before processing data.
- Monitor usage: Keep track of API quotas and implement proper error handling.
