n8n Scraping Data Extraction AI
Contributed by Sabrina Ramonov š. From the community directory at agents.sabrina.dev, republished with permission and full credit.
Important Notes:
Check Legal Regulations: This workflow involves scraping, so ensure you comply with the legal regulations in your country before getting started. Better safe than sorry!
Workflow Description:
ā Tired of struggling with XPath, CSS selectors, or DOM specificity when scraping? This AI-powered solution is here to simplify your workflow! With a vision-based AI Agent, you can extract data effortlessly without worrying about how the DOM is structured.
This workflow leverages a vision-based AI Agent, integrated with Google Sheets, ScrapingBee, and the Gemini-1.5-Pro model, to extract structured data from webpages. The AI Agent primarily uses screenshots for data extraction but switches to HTML scraping when necessary, ensuring high accuracy.
Key Features:
- Google Sheets Integration: Manage URLs to scrape and store structured results.
- ScrapingBee: Capture full-page screenshots and retrieve HTML data for fallback extraction.
- AI-Powered Data Parsing: Use Gemini-1.5-Pro for vision-based scraping and a Structured Output Parser to format extracted data into JSON.
- Token Efficiency: HTML is converted to Markdown to optimize processing costs.
This template is designed for e-commerce scraping but can be customized for various use cases.
Tools used: Google Sheets, ScrapingBee, Gemini
Download the workflow template (JSON)
Want this running in your business? KOBA42 builds and operates automations like this one.