Automate Etsy Data Mining with Bright Data Scrape & Google Gemini

This workflow is ideal for:

• Etsy Sellers looking to automate data extraction for market research or product analysis.
• Data Analysts who require structured data from Etsy for reporting and insights.
• Developers interested in integrating Etsy data into applications or dashboards.
• Marketers aiming to track product trends and pricing strategies in the Etsy marketplace.

This workflow addresses the challenge of manually extracting product data from Etsy, which can be time-consuming and prone to errors. By automating the process, users can efficiently gather valuable insights on product offerings, pricing, and trends without the need for extensive coding or manual effort.

1. Trigger the Workflow: The process starts when the user clicks the 'Test workflow' button.
2. Set Etsy Search Query: Define the search query for Etsy, such as wall art for mum, and specify the web unlocking zone.
3. Perform Initial Web Request: Send a POST request to Bright Data's API to fetch the search results from Etsy.
4. Extract Paginated Resultset: Analyze and extract the pagination details from the fetched data, ensuring unique results.
5. Loop Over Items: For each page of results, perform web requests to gather detailed product information.
6. Extract Item List: Extract relevant product information such as images, names, and prices from the response.
7. Webhook Notification: Send the extracted data to a specified webhook for further processing or storage.
8. Write to Disk: Save the scraped content to a local file for record-keeping or analysis.
9. Create Binary Data: Transform the scraped data into a binary format for potential use in other applications.