Templates / ✨ Vision-based AI agent scraper - with Google Sheets, ScrapingBee, and Gemini

✨ Vision-based AI agent scraper - with Google Sheets, ScrapingBee, and Gemini

Needs changes

by Dataki ✓ · 36,881 views · created 2024-11-21 · Market Research, AI Summarization

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What to replace before upgrading

Removed in 3.0Replace with
AI Agent v1 (old agent modes)
Vision-based Scraping Agent (v1.7)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Nodes used (11)

Structured Output ParserGoogle Gemini Chat ModelGoogle SheetsCall n8n WorkflowAI Agent

What it does

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: 😮‍💨 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.

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