Integrations

Supercharge Webscraping AI with Relevance AI

WebScraping.AI is a powerful platform for extracting content from websites, offering features like automated proxy management and JavaScript handling. With Relevance AI, you can leverage this data extraction to fuel advanced AI-driven analyses and decision-making.

Give your AI Agents Webscraping AI Superpowers

WebScraping.AI provides robust web scraping capabilities, including automated proxy rotation and JavaScript rendering. Relevance AI amplifies these features by enabling intelligent data processing and insights generation through AI Agents.

Intelligent Data Orchestration

The AI agent gains the ability to autonomously gather, process, and structure web data across multiple sources in real-time.

Enhanced Query Resolution

Equips the agent with direct access to real-time web data for more accurate and contextual responses to user inquiries.

Precision Data Synthesis

Combines AI-powered extraction with intelligent analysis to transform raw web data into actionable insights.

Tools

Equip AI Agents with the Webscraping AI Tools they need

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

WebScraping.AI - Scrape Website Text
Extracts plain text content from websites using automated proxy rotation and Chrome JavaScript rendering capabilities, with options to customize the output format and handle dynamic content
WebScraping.AI - Ask Question about Webpage
Enables natural language querying of webpage content by allowing users to ask specific questions about the scraped information, with support for custom JavaScript execution and proxy configuration
WebScraping.AI - Scrape Website HTML
Retrieves complete HTML content from websites with support for JavaScript rendering, custom script execution, and flexible proxy options for handling various web scraping scenarios
Name
WebScraping.AI API Call
Description
Make an authorized request to a WebScraping.AI API
Parameters
["OAuth Account Authentication", "HTTP Method Selection (GET, POST, PUT, DELETE, PATCH)", "Custom Request Headers", "Request Body Configuration", "Response Handling (body, status, headers)"]
Use Case
An e-commerce analytics company uses WebScraping.AI to automatically monitor competitor pricing across thousands of product pages daily, enabling real-time price adjustment strategies and market analysis through automated data extraction.

Security & Reliability

The WebScraping.AI integration platform offers robust web scraping capabilities, enabling users to extract text and HTML content from websites seamlessly. With automated proxy rotation and Chrome JS rendering, this integration allows you to handle JavaScript-rendered pages effectively, ensuring you can access the content you need.

To get started, ensure you have a WebScraping.AI account with API access and the necessary OAuth authentication credentials. The system requirements include support for HTTPS requests and the ability to handle JSON responses, along with sufficient memory for processing HTML content.

Once your account is set up, configure your authentication and base settings to connect to the WebScraping.AI API. You can begin with basic HTML scraping, extract text content, or even ask questions about the webpage content using the provided configurations.

For advanced users, custom proxy settings and JavaScript handling options are available to optimize your scraping tasks. Be mindful of common issues such as timeout errors and proxy blocks, and refer to the troubleshooting section for solutions.

Implement best practices like rate limiting and content extraction strategies to enhance your scraping efficiency. This guide serves as a foundational resource for integrating WebScraping.AI into your projects, with further details available in the API documentation.

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 WebScraping.AI + Relevance AI integration without writing code:
  • Start with clear scraping goals: Define what data you need to extract and from which websites to streamline your scraping process.
  • Utilize automated proxy rotation: Leverage WebScraping.AI's proxy management to avoid IP bans and ensure consistent access to target sites.
  • Test your configurations: Run initial scrapes on a small scale to validate your settings and ensure the data extracted meets your expectations.
  • Monitor response times: Keep an eye on the API response times and adjust your timeout settings accordingly to prevent unnecessary errors.
  • Implement error handling: Use robust error handling to manage failed requests and retries, ensuring your scraping tasks are resilient.