Automated Product Data Enrichment with AI and Web Scraping

This n8n workflow streamlines the process of enriching product information by automatically analyzing images from an Airtable database, performing reverse image searches, and scraping relevant web pages to gather detailed product attributes. Starting from a manual trigger, it retrieves product images that lack data, then utilizes OpenAI’s vision model to generate descriptions. An AI agent further researches the product by performing reverse image searches via the SERP API and web scraping with Firecrawl to find accurate product details. The enriched data is then updated back into Airtable, significantly reducing manual effort and increasing data accuracy.

This workflow is ideal for scenarios like managing retail inventories, cataloguing products for eCommerce, or updating building surveys with detailed object attributes. It combines AI-powered analysis, internet research, and data management to automate time-consuming tasks, enabling teams to focus on decision-making and strategic planning.