Etsy is one of the most popular marketplaces for handmade, vintage, and custom goods. But for businesses that need to analyze product trends, monitor competitors, or build internal catalogs, Etsy’s platform isn’t built for easy data access.
There’s no “export to CSV” button. And trying to collect product data manually? It’s time-consuming and error-prone.
In this post, we’ll show you how to use Browse AI’s prebuilt Etsy robots to:
- Scrape product listings from Etsy
- Extract product details from each listing
- Download and export that data to your preferred format
All without writing any code.
🛠️ What you need
To build your Etsy data extraction workflow, you’ll use two prebuilt robots:
- Extract list of products from Etsy
Scrapes product titles, prices, seller names, and links from any Etsy search or category page. - Extract product details and reviews from Etsy
Captures long-form descriptions, materials, dimensions, ratings, and image URLs from each product page.
These robots are ready to go — no coding or setup needed.
🔄 How to scrape Etsy product data in 3 steps
1. Scrape product listings from a category or search page
Start by copying any Etsy search results or category URL (e.g., “personalized hats”).
Paste that URL into the Etsy product list extractor and set the number of products you want to capture.
You’ll get a clean, structured list with:
- Product name
- Price
- Seller
- Rating and review count
- Image URL
- Link to the product page
✅ This is the fastest way to export Etsy product listings in bulk.
2. Extract product-level detail for deeper insights
Once you have your list of product URLs, use the Etsy detail scraper to collect additional metadata:
- Full product description
- Materials and dimensions
- Delivery options and availability
- Image gallery links
This gives you a complete product snapshot of each listing.
You can run this step as a bulk task or set up a workflow that connects the two robots automatically.
3. Export the data to your preferred tools
All data extracted by Browse AI can be:
- Downloaded as a CSV or JSON file
- Synced automatically to Google Sheets or Airtable
- Pushed into tools like Zapier or APIs for automation
This means you can build a live dashboard, feed it into a BI tool, or generate reports with zero manual effort.
📊 What kinds of datasets can you create?
Here are a few examples of what teams are building with this workflow:
- A top 500 product dataset for a category like “wedding favors” or “custom t-shirts.”
- A pricing and positioning analysis across competitors in a niche.
- A list of high-performing sellers with contact links, item volume, and ratings.
- Historical snapshots of how listings, pricing, or availability change over time.
💼 What can B2B teams do with this data?
For product and merchandising teams:
- Analyze how products are described, priced, and positioned by top sellers.
- Identify gaps or trends in materials, sizes, or formats offered on Etsy.
For marketplace and e-commerce operators:
- Build internal catalogs for cross-channel comparison or sourcing.
- Track competitors’ offerings and changes to listings over time.
For analysts and research teams:
- Monitor pricing, review sentiment, or availability across an entire segment.
- Enrich data feeds for reports, dashboards, or product testing.
✅ Why use Browse AI to scrape Etsy?
- No-code setup
- Prebuilt robots that work out of the box
- Structured data output ready for download
- Integrations with Sheets, Airtable, and more
- Scalable for both one-time and recurring runs
You don’t need dev resources or scraping scripts. Just point, click, and export.
🔗 Get started with Etsy product scraping
- Scrape product listings from Etsy
- Extract product details and reviews
- Export, analyze, and automate your product workflows
Need help building a larger workflow? Our team can help you scale or customize your Etsy scraping setup.
