Integrations

Supercharge Webscraper IO with Relevance AI

WebScraper.IO is a powerful tool for automated web scraping and data extraction, allowing users to create sitemaps and manage scraping jobs programmatically. With Relevance AI, you can elevate your data extraction process by leveraging AI Agents to derive insights and automate actions based on the collected data.

Give your AI Agents Webscraper IO Superpowers

WebScraper.IO automates web data extraction with flexible sitemap creation and job management. Relevance AI amplifies this capability by enabling intelligent AI Agents to analyze and act on the scraped data efficiently.

Real-Time Data Orchestration

AI agents can dynamically adjust scraping parameters and data collection strategies based on live website changes and performance metrics.

Intelligent Pattern Recognition

Enables automatic identification and adaptation to new data structures and website layouts without manual intervention.

Adaptive Error Resolution

Automatically detects and resolves scraping errors by implementing alternative extraction strategies in real-time.

Tools

Equip AI Agents with the Webscraper IO Tools they need

Relevance AI seamlessly integrates with WebScraper.IO to enhance your data extraction workflows.

WebScraper.IO - Create Sitemap
Creates a new sitemap configuration for web scraping by defining the starting URL and sitemap identifier, enabling structured data extraction from websites
WebScraper.IO - Create Scraping Job
Initiates a new web scraping task using a specified sitemap configuration, with options to select between fast or full JavaScript-enabled scraping drivers
WebScraper.IO - Get Scraping Jobs
Retrieves information about existing scraping jobs for a specific sitemap, with the ability to limit the number of results returned
Name
WebScraper.IO API Call
Description
Make an authorized request to a WebScraper.IO API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
An e-commerce analytics company uses WebScraper.IO API calls to automatically collect pricing data from competitor websites and generate real-time market intelligence reports, enabling their clients to optimize pricing strategies and maintain competitive advantage.

Security & Reliability

The WebScraper.IO and Relevance AI integration enables automated web scraping through secure OAuth authentication, with Relevance AI managing API operations (like sitemap creation, job execution, and data extraction) seamlessly in the background. The integration handles rate limiting, error handling, and data validation automatically—ensuring reliable scraping operations without managing complex API interactions directly.

Built-in driver options and flexible configuration settings allow for both fast and JavaScript-rendered page scraping, while automatic response parsing and error recovery ensure consistent data extraction across your workflows.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the WebScraper.IO + Relevance AI integration without writing code:
  • Start with a clear sitemap: Define clear and concise start URLs and ensure they are accessible.
  • Utilize driver options: Choose the appropriate driver (fast/fulljs) based on the complexity of the target website.
  • Monitor your scraping jobs: Regularly check the status of your scraping jobs to ensure they are running smoothly.
  • Test with small batches: Run scraping jobs on a limited number of pages first to validate your setup before scaling up.
  • Implement error handling: Use try-catch blocks to manage errors and log them for troubleshooting.