The Automate Etsy Data Mining with Bright Data Scrape & Google Gemini workflow is designed for eCommerce analysts, product researchers, and AI developers seeking to extract actionable insights from Etsy listings at scale.
It is ideal for:
eCommerce Entrepreneurs - Researching product demand and competition.
Market Analysts - Tracking pricing, reviews, and trends across Etsy categories.
Product Managers - Identifying niche opportunities and design inspirations.
Data Scientists & AI Engineers - Automating product intelligence pipelines.
Growth Hackers - Leveraging Etsy insights to refine product-market fit.
Manually browsing Etsy to analyze product listings, pricing, reviews, and seller activity is slow, inconsistent, and unscalable. Scraping Etsy requires unlocking JavaScript-heavy content and structuring noisy data for analysis.
This workflow solves:
Automated and scalable scraping of Etsy product listings using Bright Data’s infrastructure.
A fully paginated data structured Estry production data extraction via the Google Gemini LLM.
Enables faster decision-making for product research and competitive analysis via the fully automated paginated data extraction.
Receives input: Sets the Esty URL for the data extraction and analysis.
Uses Bright Data's Web Unlocker to extract content from relevant sites.
Cleans and preprocesses the scraped content for readability.
Sends the content to Google Gemini for:
Enriched results including:
Data persistence over the disk.
Sends the response to a target system via Webhook notification.
Input Sources : Replace the static URL with dynamic input from Google Sheets, Webhook, or Airtable to research multiple niches.
Prompt Customization : Adjust Gemini prompts to extract specific insights for example:
List key features of the product
Summarization of the review themes
Data Output Options : Update the Webhook notification to save data to: