Integrations

Supercharge ParseHub with Relevance AI

ParseHub is a powerful web scraping tool that automates the extraction of data from websites. By integrating with Relevance AI, you can transform this raw data into actionable insights, leveraging AI Agents to streamline your data processing and analysis.

Give your AI Agents ParseHub Superpowers

ParseHub excels at extracting data from websites, while Relevance AI empowers you to analyze and act on that data with intelligent AI Agents. Together, they create a robust solution for data-driven decision-making.

Real-Time Data Mastery

Empowers AI agents with continuous access to fresh, structured web data for enhanced decision-making capabilities.

Dynamic Market Intelligence

Enables agents to autonomously monitor and analyze competitive landscapes across multiple digital channels.

Predictive Analytics Enhancement

Strengthens forecasting capabilities by continuously feeding fresh market data into predictive models.

Tools

Equip AI Agents with the ParseHub Tools they need

Relevance AI seamlessly integrates with ParseHub to enhance your web scraping workflows.

ParseHub - Get Data for a Run
Retrieves scraped data from a completed ParseHub run using a specific run token, allowing access to web scraping results
ParseHub - Get Project Details
Fetches detailed information about a specific ParseHub project, including its configuration and settings
ParseHub - Run Parsehub Project
Initiates a new web scraping run for a specified ParseHub project, starting from a given URL with optional email notifications
Name
ParseHub API Call
Description
Make an authorized request to a ParseHub 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
A data analytics company uses ParseHub API Call to automatically extract and process web data from multiple sources, then seamlessly integrate it into their dashboard by making authenticated API requests to retrieve parsed results on a scheduled basis.

Security & Reliability

The ParseHub integration with Relevance AI utilizes OAuth-based secure authentication, ensuring that only authorized workflows can access your web scraping data. Relevance AI manages API operations (such as GET, POST, and custom API calls) seamlessly in the background, allowing you to focus on data analysis without worrying about errors, formatting, or rate limits.

With built-in validation and error handling, this integration guarantees that your web scraping workflows run efficiently, even when dealing with varying data formats. You can automate data extraction, run projects, and retrieve run data effortlessly, all while maintaining compliance with API usage limits.

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 ParseHub + Relevance AI integration without writing code:
  • Start with a well-structured ParseHub project: Ensure your project is designed with clear selectors and efficient scraping logic.
  • Utilize the API effectively: Familiarize yourself with the ParseHub API endpoints to streamline data extraction and processing.
  • Authenticate securely: Double-check your OAuth credentials and permissions to avoid authentication issues.
  • Test your workflows: Run projects with sample data to validate your setup before deploying on larger datasets.
  • Monitor API usage: Keep an eye on your API rate limits and implement caching strategies to optimize performance.