Browse AI is a powerful integration platform that allows for automated web scraping and data extraction through an intuitive API. With Relevance AI, you can leverage this data extraction to fuel intelligent decision-making and automation in your workflows.
Browse AI automates web scraping and data extraction without the need for complex coding. Relevance AI amplifies this by enabling AI Agents to process and analyze the extracted data, turning insights into actionable strategies.
Real-Time Web Intelligence
Empowers the AI agent with instant access to live web data for up-to-the-minute insights and decision-making
Automated Data Orchestration
Enables seamless collection and structuring of web information without human intervention or coding requirements
Structured Knowledge Integration
Transforms unstructured web content into organized, actionable data for enhanced decision support
Relevance AI integrates seamlessly with Browse AI to enhance your web scraping workflows with intelligent data extraction capabilities.
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 Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Browse AI integration platform enables seamless web scraping and data extraction through a powerful API interface, allowing developers to automate data collection without complex coding. This integration combines Browse AI's web automation capabilities with RESTful API access, ensuring efficient data extraction from any website.
With no-code web scraping automation, OAuth-based authentication, and structured data output in JSON format, you can easily manage your scraping tasks and retrieve the data you need.
To get started, ensure you have a Browse AI account with API access, OAuth credentials, and the necessary permissions for robot creation and task execution. Set up your environment with HTTPS support and JSON parsing capabilities, and create a configuration file to streamline your API interactions.
Execute scraping tasks effortlessly by sending POST requests to the API, checking task statuses with GET requests, and retrieving results as needed. In case of issues, refer to the troubleshooting guide for common errors and their solutions, including authentication errors, robot execution failures, and rate limiting.
Implement best practices for error handling, response validation, and logging to ensure your integration runs smoothly. For further assistance, consult the Browse AI API documentation and additional resources available for OAuth implementation and robot creation tutorials.
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.
To get the most out of the Browse AI + Relevance AI integration without writing code:
- Start with a clear robot configuration: Ensure your robots are set up with clear input parameters and consistent output formats.
- Utilize pre-built scraping templates: Browse AI offers templates for common scraping tasks, making it easier to get started.
- Authenticate carefully: Double-check your OAuth credentials and permissions to ensure smooth API access.
- Test with sample data: Execute scraping tasks on test URLs first to validate your setup before scaling.
- Monitor API usage: Keep an eye on rate limits and implement retry logic to handle potential throttling.
