Vision-Based AI Agent Scraper with Google Gemini and ScrapingBee
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Automate the extraction of structured data from any website using a powerful, vision-based AI agent. This workflow leverages Google Gemini's advanced capabilities, ScrapingBee for robust page capturing, and Google Sheets for seamless input and output management, enabling intelligent data collection without traditional selectors.
About This Workflow
Unlock the power of AI to extract precisely structured data from web pages. This n8n workflow creates a sophisticated vision-based AI agent by combining Google Gemini's multimodal understanding with ScrapingBee's reliable web scraping. Simply provide a list of URLs in Google Sheets, and the workflow will visit each page, capture a full-page screenshot, and feed it to Gemini. The AI then intelligently identifies and extracts desired information based on a predefined schema, outputting clean, structured data back into your Google Sheet. It's an ideal solution for dynamic websites where traditional HTML parsing is challenging, allowing for flexible and powerful data acquisition.
Key Features
- Vision-Based AI Extraction: Utilizes Google Gemini's advanced vision capabilities to understand and extract data directly from page screenshots, bypassing complex HTML structures.
- Structured Data Output: Defines a precise JSON schema for output, ensuring you receive clean, organized data points like product titles, prices, brands, and promotions.
- Robust Web Page Capture: Integrates ScrapingBee to reliably render and capture full-page screenshots, even for JavaScript-heavy sites, providing comprehensive visual context for the AI.
- Google Sheets Integration: Manages input URLs and outputs extracted data directly within Google Sheets, simplifying data management and integration into your existing workflows.
- Flexible & Customizable: Easily adjust the AI's output schema, target URLs, and even screenshot parameters to suit diverse scraping needs, from e-commerce product details to competitor analysis.
How To Use
- Prepare Google Sheets: Create a Google Sheet with a list of URLs in the first sheet (e.g., 'List of URLs') and an empty 'Results' sheet. Configure the Google Sheets node to read from your input sheet.
- Configure ScrapingBee: Obtain your API key from ScrapingBee and insert it into both 'ScrapingBee - Get page screenshot' and 'ScrapingBee- Get page HTML' nodes.
- Set up Google Gemini: Provide your Google Gemini API key in the 'Google Gemini Chat Model' node's credentials section.
- Define Output Schema: Customize the
jsonSchemaExamplein the 'Structured Output Parser' node to match the exact data points you wish the AI to extract (e.g.,product_title,product_price). Ensure this aligns with your 'Results' sheet columns. - Run the Workflow: Manually trigger the workflow using the 'When clicking ‘Test workflow’' node, or replace it with a trigger of your choice for automated scheduling.
Apps Used
Workflow JSON
{
"id": "6887be7c-be87-46e9-9743-35626fe079fc",
"name": "Vision-Based AI Agent Scraper with Google Gemini and ScrapingBee",
"nodes": 24,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 6887be7c-be87...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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