Integrations

Supercharge Parsera with Relevance AI

Parsera is a powerful web content extraction and parsing service that allows you to automatically extract structured data from web pages without complex scraping logic. With Relevance AI, you can transform this extracted data into actionable insights and intelligent workflows.

Give your AI Agents Parsera Superpowers

Parsera automates the extraction of structured data from web content, while Relevance AI empowers you to leverage that data with intelligent AI Agents for deeper insights and actions.

Document Intelligence Mastery

The AI agent gains advanced capabilities to understand, analyze, and extract meaningful data from any document format with 99%+ accuracy.

Workflow Orchestration

Empowers the agent to automate complex document processing workflows and intelligently route information across systems without human intervention.

Real-Time Processing Intelligence

Grants the agent the power to process and analyze documents in real-time, delivering instant insights and actions.

Tools

Equip AI Agents with the Parsera Tools they need

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

Parsera - Extract
A web content extraction tool that allows users to pull specific information from URLs using customizable attributes, with support for proxy country selection for geographically restricted content
Parsera - Parse
A content parsing utility that processes HTML or text content to extract specific information based on user-defined attributes, designed for structured data extraction from raw content
Name
Parsera API Call
Description
Make an authorized request to a Parsera 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 team uses Parsera API Call to automatically fetch and process customer feedback data, enabling them to track sentiment trends and identify key insights without manual data collection. The integration streamlines their workflow by providing authenticated access to Parsera's powerful text analysis capabilities through simple API requests.
Quick Start

Connect Parsera to Relevance AI in minutes

What you’ll need

You don't need to be a developer to set up this integration. Follow this simple guide to get started:

  • A Relevance AI account
  • An Airtable account with access to the base and table you'd like to use
  • Authorization (you'll connect securely using OAuth—no sensitive info stored manually)

Security & Reliability

The integration utilizes Parsera's powerful web content extraction capabilities, allowing you to seamlessly pull structured data from web pages without the need for complex scraping logic. Relevance AI manages the API operations (like GET, POST, and custom endpoint calls) in the background, ensuring that your data extraction workflows run efficiently and without errors.

With secure OAuth authentication, only authorized workflows can access your Parsera data, while built-in validation and customizable data parsing ensure that your extracted content is accurate and formatted correctly, even when dealing with diverse HTML structures.

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 Parsera + Relevance AI integration without writing code:
  • Start with clear attribute definitions: Use descriptive names and ensure they accurately reflect the data you want to extract.
  • Utilize proxy support: Leverage proxy settings to access region-locked content effectively.
  • Test extraction on sample URLs: Validate your extraction logic with a few test URLs before scaling up.
  • Implement error handling: Use try-catch blocks to manage API call errors gracefully and log issues for troubleshooting.
  • Optimize requests: Batch related requests and cache frequently accessed content to improve performance and reduce API calls.