Zyte is a leading web data extraction platform that enables businesses to collect and analyze web data efficiently.
Enhance your data collection capabilities with AI agents that can automatically gather, process, and act on web data.
Zyte excels at extracting and managing web data at scale. Relevance AI transforms this data into intelligent actions through AI agents that can analyze, monitor, and respond to changes in real-time.
Dynamic Data Orchestration
Agents can automate data collection and adapt to changing web structures seamlessly.
Real-Time Insights Generation
Agents provide immediate access to fresh data, enhancing decision-making capabilities.
Enhanced Data Accuracy
Agents ensure high-quality data through built-in validation and consistency checks.
Relevance AI gives you access to Zyte's web scraping 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 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 integration leverages secure OAuth authentication through Zyte's API, ensuring authorized access to web data extraction workflows. Relevance AI manages API operations seamlessly in the background, handling authentication headers and request formatting automatically.
Built-in request validation and response parsing ensure consistent data extraction, regardless of source complexity or format variations.
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 Zyte + Relevance AI integration without writing code:
- Configure API endpoints properly: Ensure correct path and method settings for each request.
- Manage authentication: Keep OAuth credentials secure and up-to-date for uninterrupted access.
- Structure requests efficiently: Use appropriate headers and body parameters for optimal data extraction.
- Monitor response handling: Check status codes and response bodies for successful data transfer.
- Implement rate limiting: Space out requests appropriately to avoid API throttling issues.
