Browserhub is a powerful tool for automated web scraping and data extraction, providing a robust API for managing tasks. With Relevance AI, you can elevate your data processes, leveraging AI Agents to streamline and enhance your automation efforts.
Browserhub automates web scraping with an API-first approach, allowing for scalable data extraction. Relevance AI amplifies this capability by enabling intelligent AI Agents to manage and optimize your data workflows.
Autonomous Web Navigation
AI agents can independently traverse complex web environments using cloud-based browsers without manual intervention
Intelligent Data Orchestration
Seamless collection and organization of web data through automated browser sessions with advanced fingerprinting protection
Scalable Processing Power
Access to unlimited cloud browser instances enables agents to handle massive data collection tasks simultaneously
Relevance AI seamlessly integrates with Browserhub to enhance your web scraping and data extraction 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 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 Browserhub integration with Relevance AI enables seamless automated web scraping and data extraction workflows through a powerful API-first approach. This integration allows you to programmatically run web scraping automations, manage data extraction tasks, and effortlessly integrate the results into your applications.
With no-code web scraping automation, scalable data extraction, and webhook notifications for automation status, you can streamline your data workflows. The integration employs OAuth-based secure authentication, ensuring that only authorized workflows access your data. Relevance AI manages API operations (like GET, POST, PATCH, DELETE) in the background, so you don’t have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary. To get started, ensure you have the required accounts and credentials, and follow the installation and configuration steps outlined in the guide.
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 Browserhub + Relevance AI integration without writing code:
- Start with a clear automation setup: Use descriptive names for your scrapers and maintain consistent data structures.
- Utilize webhook notifications: Set up webhooks to receive updates on automation status, ensuring you stay informed without manual checks.
- Validate your inputs: Always check the format of your scraper IDs and other parameters before making API calls to avoid errors.
- Test with small data sets: Run your automations on limited data first to identify potential issues before scaling up.
- Monitor API usage: Keep an eye on rate limits and implement throttling strategies to prevent disruptions in service.
