Overview
This workflow automates the process of mining product data from Etsy using Bright Data for web scraping and Google Gemini for advanced data extraction and analysis. It streamlines the collection, processing, and notification of Etsy product information.
Key Features
- Initiates with a manual trigger for controlled execution.
- Sets custom Etsy search queries for targeted data mining.
- Utilizes Bright Data via HTTP requests to scrape Etsy listings.
- Employs Google Gemini's chat model for intelligent data extraction and enrichment.
- Processes large datasets efficiently with batch splitting and pagination.
- Sends webhook notifications with extracted product data for real-time updates.
Benefits
- Saves significant manual effort in collecting and analyzing Etsy product data.
- Delivers enriched, structured product insights using AI-powered extraction.
- Enables timely decision-making with automated notifications.
- Scalable for large datasets and adaptable to changing search criteria.
Use Cases
- Market research and competitor analysis for e-commerce businesses.
- Automated product catalog updates and trend monitoring.
- Data-driven decision support for marketing and sales teams.
Integrations & Automation
- Integrates Bright Data for robust web scraping.
- Leverages Google Gemini for AI-driven information extraction.
- Utilizes webhooks for seamless data delivery to downstream systems.
