This n8n workflow automates the process of scraping product data from Etsy, analyzing it with AI models, and sending insights through webhooks. The process begins with a manual trigger to start the workflow, which is useful for testing or manual runs.
Key steps include setting a specific Etsy search query, then making an API request to Bright Data’s Web Unlocker to scrape Etsy search results. The scraped data is then processed using AI models such as Google Gemini and OpenAI’s GPT-4 to extract structured product information and analyze paginated result sets.
The workflow employs loops to handle multiple pages, writing the raw scraped content into files for record-keeping and further analysis. Extracted product details like images, names, prices, and URLs are formatted into JSON, and notifications are sent via webhook with the gathered data.
This automation is ideal for market research, competitor analysis, or monitoring Etsy product listings at scale, leveraging AI for data summarization and extraction to streamline tedious manual research tasks.
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