How to Scrape Any Website Using N8N and Gina AI: A Complete Guide

Web scraping is a powerful technique for gathering data from websites, and with the right tools, it can be done without writing a single line of code. This article explores how to use N8N integration with Gina AI to scrape websites and process the data effectively.

Introduction to the Workflow

The workflow described here was originally created for a real estate agent, but it can be adapted to virtually any industry. Whether you’re looking to collect property listings, business contact information, or other structured data from websites, this method can be customized to suit your needs.

Setting Up the Basic Scraping Workflow

The workflow begins with a manual trigger in N8N. The end result is structured data containing all the information you need from a website. In the example case, this includes property addresses, prices, number of bedrooms, bathrooms, size, and other relevant details for houses that are up for sale.

Step 1: Integrating Gina AI

Gina AI is a free AI-based scraping tool that powers this workflow. To set it up:

Add the Gina AI node in your N8N workflow
Use the endpoint URL: https://api.gina.ai followed by the website URL you want to scrape
Set up authentication using the generic credential type header auth
Add the name “authorization” and paste the value from Gina AI
Test the connection to verify you’re getting data

Step 2: Information Extraction

The raw data from Gina AI needs refinement, which is where the information extractor node comes in:

Add an information extractor node
Connect it to a chat model (like Open Router)
Define what data you want to extract (titles, addresses, prices, etc.)
Create a system prompt to guide the AI in extracting the proper information
Configure the output to be in JSON format

Step 3: Setting Up the AI Model

The workflow uses Open Router as a chat model provider:

Create an account at openrouter.ai
Generate an API key
Add the key to your N8N workflow
Choose from over 50 AI models including DeepSeek, Google Gemini, or GPT models

Step 4: Data Processing

Once you have the raw data extraction:

Use a split node to isolate just the results you need
Format the data to get a clean output with addresses, prices, bedrooms, etc.
Connect the output to Google Sheets to store the data
Configure Google Sheets to append rows automatically

Advanced Features: Market Analysis with AI Agents

The workflow can be extended with AI agents to analyze the scraped data:

Market Analysis Agent

This agent reviews the collected real estate data to provide insights:

Connect to an AI model (like Qwen 2.5)
Create a system message that defines the agent’s objective
Process the structured data to identify market trends and opportunities
Generate actionable insights specific to the real estate market

Summary Agent

A second AI agent can create concise summaries of the analysis:

Take the output from the market analysis agent
Process it into a clear, condensed report
Prepare the information in a format suitable for sharing

Email Automation

Finally, the workflow can automatically share the insights:

Connect to Gmail through Google authentication
Configure email recipients, subject, and content
Send the AI-generated market analysis via email
Optionally set up a schedule to run the workflow periodically

Scheduling Automated Scraping

Instead of manually triggering the workflow, you can set it to run automatically:

Replace the manual trigger with a scheduled trigger
Set the frequency (e.g., every seven days)
Configure it to run on specific days or times
Save and publish the workflow

Conclusion

This N8N workflow with Gina AI provides a powerful, code-free solution for web scraping. By combining AI-based data extraction with automated processing and analysis, you can transform raw website data into valuable insights for any industry. Whether you’re monitoring real estate listings, gathering business leads, or tracking product information, this approach offers a flexible framework that can be adapted to your specific needs.