Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Integrations

Supercharge 0CodeKit with Relevance AI

ScrapeGraph AI is a powerful web scraping and content extraction platform that leverages artificial intelligence to intelligently parse and extract data from websites. Enhance your data extraction processes with Relevance AI's AI Agents, enabling smarter and more efficient workflows.

Give your AI Agents 0CodeKit Superpowers

ScrapeGraph AI utilizes advanced AI techniques for intelligent web scraping and content extraction. With Relevance AI, you can leverage these capabilities to create dynamic AI Agents that automate data processing and insights generation.

Real-Time Data Orchestration

Empowers the AI agent to continuously gather and process live web data for instant insights and decision-making

Intelligent Pattern Recognition

Enhances the agent's ability to identify and extract meaningful patterns across vast amounts of web content

Automated Intelligence Gathering

Supercharges the agent's capability to collect and synthesize market intelligence from multiple sources simultaneously

Tools

Equip AI Agents with the 0CodeKit Tools they need

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

0codekit - Compress PDF
A tool for compressing PDF files by providing a URL to the source PDF and specifying the output filename, helping reduce file sizes while maintaining document quality
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
Name
0codekit API Call
Description
Make an authorized request to a 0codekit API
Parameters
["OAuth Authentication", "Multiple HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Support", "Response Status Tracking"]
Use Case
A software development team uses 0codekit API Call to automate their deployment process by making authenticated API requests to trigger builds and updates across their infrastructure. This integration streamlines their CI/CD pipeline by enabling secure, programmatic access to their development resources.

Security & Reliability

The integration utilizes advanced AI-powered web scraping capabilities, allowing developers to seamlessly extract data from websites with ease. ScrapeGraph AI handles API operations (like POST requests for smart scraping, markdown conversion, and local HTML processing) in the background—so you don’t have to worry about the complexities of data extraction.

With flexible API endpoints and real-time processing, you can efficiently manage your scraping tasks while ensuring that your applications remain responsive and effective. The integration also supports OAuth authentication, ensuring that only authorized workflows can access your ScrapeGraph AI data.

Built-in features like markdown conversion and local HTML processing enhance the versatility of your scraping tasks, while error handling and performance monitoring help maintain smooth operations even under varying data formats.

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 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.