ZenRows is a powerful web scraping platform that allows developers to extract data from websites while avoiding detection. With Relevance AI, you can transform this data into actionable insights, empowering your workflows with advanced AI capabilities.
ZenRows provides robust web scraping capabilities with anti-bot detection bypass. Relevance AI enhances this by leveraging the extracted data for intelligent insights and automated decision-making through AI Agents.
Unbreakable Data Harvesting
Empowers AI agents to extract web data consistently through advanced anti-bot protection and CAPTCHA bypass systems
Dynamic Content Mastery
Equips agents to navigate and extract data from JavaScript-heavy websites and complex dynamic content
Scalable Data Processing
Handles millions of concurrent requests while maintaining high reliability and consistent data quality
Relevance AI seamlessly integrates ZenRows into your workflows, enabling efficient data extraction and analysis.
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 ZenRows integration platform combines powerful web scraping capabilities with rotating proxy servers, enabling developers to extract data from websites while avoiding detection. This integration automates data collection, featuring automated parsing, anti-bot detection bypass, clean API responses, and seamless OAuth authentication.
To get started, ensure you have a ZenRows account with API access, valid OAuth credentials with `pipedream-zenrows-read-write` permissions, and an API key from your ZenRows dashboard. Your environment should support HTTPS, REST API calls, and JSON parsing.
Begin by configuring OAuth authentication and setting up the base URL. For basic URL scraping, simply provide your account ID and the target URL. The expected response will include the parsed content and status code.
For custom API calls, specify the method, path, and any necessary headers. Advanced scraping can be achieved by including parameters in your request body.
Common issues include authentication errors, rate limiting, and parsing failures. Implement error handling and response validation to ensure smooth operation. Remember to manage headers appropriately, as the Authorization header is automatically added.
For further assistance, refer to the API documentation, contact support, and check your account dashboard for rate limits. Properly handle responses and implement error handling in your production environment for optimal performance.
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 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
