This n8n workflow automates the process of enriching product data in Airtable by leveraging AI image analysis, web searches, and web scraping. Triggered manually, it retrieves relevant product images from Airtable, uses OpenAI models to analyze these images and generate detailed descriptions, and employs external tools like SERP API and Firecrawl to perform reverse image searches and web scraping. The workflow then consolidates this information to update Airtable records automatically. Practical for building surveys, inventory management, or e-commerce data enhancement, this automation saves hours of manual research and data entry, ensuring accurate, comprehensive product details.
Automated Product Data Enrichment Using AI and Airtable
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.toolWorkflow, airtable, executeWorkflowTrigger, httpRequest, if, manualTrigger, set, stickyNote, switch |
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