Automated Product Data Enrichment with AI and Airtable

This n8n workflow streamlines the process of enriching product data by automatically analyzing images and researching products on the internet. The sequence begins with a manual trigger to start the workflow, which then fetches rows from Airtable containing product photos. Using OpenAI’s vision model, it analyzes each image to extract detailed descriptions. An AI agent then performs reverse image searches and web scraping via SerpAPI and Firecrawl to gather additional product information. The gathered data—such as title, description, model, material, color, and condition—is then used to update the original Airtable records, significantly reducing manual effort. This workflow is ideal for inventory management, product catalog updating, or quality assurance scenarios where visual data needs to be complemented with online research for accurate and comprehensive product profiling.