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

Scrape-It.Cloud is a powerful web scraping solution that allows you to extract structured data from any website effortlessly. With Relevance AI, you can elevate this data extraction process by leveraging AI Agents to automate analysis and drive actionable outcomes.

Give your AI Agents 0CodeKit Superpowers

Scrape-It.Cloud provides robust web scraping capabilities, allowing for efficient data extraction from any website. Relevance AI amplifies this power by enabling intelligent AI Agents to process and analyze the scraped data, turning raw information into valuable insights.

Real-Time Market Intelligence

Empowers the AI agent with continuous access to live market data and competitive insights across multiple web sources.

Dynamic Price Optimization

Equips the agent to monitor and analyze pricing patterns across markets for strategic decision-making.

Intelligent Pattern Recognition

Enhances the agent's ability to identify trends and anomalies in real-time web data streams.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI seamlessly integrates with Scrape-It.Cloud 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 Scrape-It.Cloud integration provides a robust web scraping solution that allows you to extract structured data from any website seamlessly. With secure OAuth authentication, only authorized workflows can access your scraping tasks. This integration automates data extraction through a simple API interface, eliminating the need to manage proxies.

Utilizing features like JavaScript rendering, custom headers, and screenshot capabilities, Relevance AI handles API operations (such as initiating scraping requests) in the background—ensuring you don’t have to worry about errors, formatting, or limits. Built-in validation and type conversion ensure your scraping workflows run smoothly, even when dealing with complex web pages.

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.