This n8n workflow automates the process of scraping product data from Etsy, extracting valuable product information, and sending the data for analysis or notification. It combines web scraping with Bright Data, AI-powered data extraction, and language models such as Google Gemini and OpenAI to analyze paginated data from Etsy listings.
The process begins with a manual trigger to test the workflow, where a predefined Etsy search query is set. A request is sent to Bright Data’s Web Unlocker API to scrape Etsy search results based on the specified URL. The scraped raw content is then processed by AI language models, including Google Gemini and OpenAI GPT-4, to extract structured pagination details and listing information.
The workflow loops through each page of search results, extracting individual product details such as images, URLs, and prices. It compiles this product data into JSON, which is then written to disk for record-keeping or further analysis. Additionally, it can send notifications via webhook and utilize AI models to analyze or summarize data if needed.
This workflow is especially useful for e-commerce professionals, competitive analysts, or researchers who want to automate the collection of Etsy product listings, monitor market trends, or gather data for market research.
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