Etsy Data Extraction: Collect Public Listing Data Responsibly

MrScraper helps e-commerce analysts, market researchers, and retail teams collect publicly available Etsy listing data in a structured format. It captures prices, discounts, ratings, shop names, badges, and, where Etsy displays them, sold counts, and delivers the results as JSON or CSV ready for analysis.

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Before you start: Review Etsy's current Terms of Use and robots.txt, collect only public data, and consider Etsy's official Open API where it fits your use case. See Using Etsy Data Responsibly below.

Choosing the Right Approach

Common Use Cases

Etsy is organized around independent shops and handmade, vintage, and craft items. Structured listing data supports several research workflows:

• Price and promotion research: Compare prices, original prices, and discount rates across similar products and shops.
• Demand and trend analysis: Use publicly displayed sold counts, review volumes, and badges such as Bestseller to see which product niches are gaining attention.
• Seasonal monitoring: Track how pricing and promotions shift around events such as Black Friday and Mother's Day.
• Catalog and assortment research: Review how listings are titled, tagged, and presented in a category to inform your own product strategy.

What Data Can You Collect?

From publicly visible Etsy search results, category pages, shop pages, and listing pages, MrScraper can collect the following fields:

On individual listing and shop pages, you can also collect fields such as the displayed sold count, review text and ratings, and shop-level details like Star Seller status and shop location.

Field availability depends on what each page displays publicly, and not every listing shows every field.

Demand Signals and Shop-Level Data

Etsy often displays public indicators of buyer interest, including sold counts, review totals, and badges. Collected across a category, these figures help analysts compare shops and spot product niches that are growing, using only information any visitor can see.

Scheduled Price Monitoring

Prices and promotions on Etsy change often, especially during seasonal events. You can schedule recurring jobs (hourly, daily, or weekly) to record pricing, discounts, and listing changes for your chosen searches. Teams use this history to build pricing models, understand promotion patterns, and track category trends over time.

Programmatic Access with the API

Data engineering teams can retrieve rendered page content through the MrScraper API and parse it in their own pipeline. The example below fetches a public Etsy search results page and extracts a subset of fields.

import requests
from bs4 import BeautifulSoup
 
# Fetch a public Etsy search results page through the MrScraper API
response = requests.get(
    "https://api.mrscraper.com",
    params={
        "url": "https://www.etsy.com/search?explicit=1&q=women%27s+dresses",
        "token": "YOUR_MRSCRAPER_TOKEN",
    },
    timeout=30,
)
 
if response.status_code == 200:
    soup = BeautifulSoup(response.text, "html.parser")
    listings = []
 
    for item in soup.select("div.v2-listing-card"):
        title_el = item.select_one("h3.v2-listing-card__title")
        link_el = item.select_one("a.listing-link")
        img_el = item.select_one("img")
        shop_el = item.select_one("p.text-gray-lighter")
        price_el = item.select_one("span.currency-value")
        orig_price_el = item.select_one("span.wt-text-strikethrough")
        discount_el = item.select_one("span.wt-badge--sale")
        rating_el = item.select_one("input[name='rating']")
        reviews_el = item.select_one("span.wt-text-caption")
        ad_el = item.select_one("span.wt-badge--ad")
        free_shipping_el = item.select_one("span.wt-badge--shipping")
        badge_els = item.select("span.wt-badge")
 
        if title_el and price_el:
            listings.append({
                "title": title_el.text.strip(),
                "url": link_el.get("href", "") if link_el else "",
                "image_url": img_el.get("src", "") if img_el else "",
                "shop": shop_el.text.strip() if shop_el else "Not listed",
                "rating": rating_el.get("value", "") if rating_el else "",
                "review_count": reviews_el.text.strip() if reviews_el else "",
                "price": price_el.text.strip(),
                "original_price": orig_price_el.text.strip() if orig_price_el else "",
                "discount": discount_el.text.strip() if discount_el else "",
                "badges": [b.text.strip() for b in badge_els if b.text.strip()],
                "is_ad": bool(ad_el),
                "free_shipping": bool(free_shipping_el),
            })
 
    print(f"Extracted {len(listings)} Etsy listings.")

Page structure and CSS selectors can change over time, so review and update the parsing logic periodically. See the MrScraper documentation for current API parameters, and the Web Scraper API and Pricing pages for plan details.

How to Collect Etsy Listing Data with MrScraper

1. Create your account: Sign up for MrScraper to receive 1,000 free Plan Tokens. No credit card required.
2. Open the Marketplace: From your dashboard, go to the Marketplace tab to find pre-built scraper templates.
3. Select the Etsy Listing Scraper: Choose the template designed for search results and category pages.
4. Add your URL: Paste a public Etsy search, category, or shop page URL.
5. Run the job: Start the run and let MrScraper gather the listing records.
6. Export your data: Download results as JSON or CSV, or send them to your data warehouse through Webhooks, PostgreSQL, MySQL, or Amazon S3.

Example Input URL

https://www.etsy.com/search?explicit=1&q=women%27s+dresses

Sample Output (JSON)

Results appear in the dashboard as a dataset you can preview in JSON or table view before downloading. The example below is abbreviated for readability.

[
  {
    "title": "Swing wool dress women, Fit and flare dress, Grey wool dress, Midi wool dress",
    "url": "https://www.etsy.com/listing/1806552973/swing-wool-dress-women-fit-and-flare",
    "shop": "Ylistyle",
    "rating": "4.8",
    "review_count": "(10.8k)",
    "price": "$71.20",
    "original_price": "$89.00",
    "discount": "20% off",
    "colors": ["Gray", "Blue", "Dark red"],
    "badges": ["Popular now"],
    "is_ad": true,
    "free_shipping": false
  },
  {
    "title": "Cotton Linen Midi Dress Cap Sleeve Minimal A Line Dress",
    "url": "https://www.etsy.com/listing/4495373757/cotton-linen-midi-dress-cap-sleeve",
    "shop": "LostIndianTreasures",
    "rating": "4.2",
    "review_count": "(152)",
    "price": "$81.24",
    "original_price": "$124.99",
    "discount": "35% off",
    "colors": ["Dark red", "Light green", "Berry", "Off white"],
    "badges": [],
    "is_ad": true,
    "free_shipping": false
  }
]

Sample Output (CSV)

Using Etsy Data Responsibly

Responsible data collection protects both your business and the platforms and shop owners you research. We recommend the following practices:

• Collect public data only: Limit collection to listing information, prices, and shop metrics that any visitor can see without signing in. Do not access private account areas.
• Review the platform's rules: Read Etsy's current Terms of Use and its robots.txt before starting a project, and follow any restrictions that apply to your use case.
• Consider official APIs first: If Etsy's Open API provides the data you need, it may be the most appropriate route, particularly for commercial or high-volume use.
• Keep request volumes reasonable: Use moderate concurrency and sensible schedules so your activity does not place unnecessary load on the site.
• Protect personal data: Avoid collecting information that identifies individual buyers or reviewers, and store and use any data you collect in line with applicable privacy and data protection laws.
• Respect creators' rights: Product photos, descriptions, and review text may be protected by copyright. Avoid republishing them in ways that could infringe the rights of shop owners or Etsy.
• Get legal advice for your situation: The legality of data collection depends on jurisdiction, the type of data, how it is collected, and how it is used. This page is general information, not legal advice. Read more in our guide on web scraping and the law.

Frequently Asked Questions

1. What is Etsy data extraction used for?

It is used to gather publicly available listing information, such as prices, discounts, ratings, shop names, and badges, for purposes like competitor price tracking, trend research, demand analysis, and feeding structured catalog data into analytics tools.

2. Does Etsy have an official API?

Yes. Etsy offers an Open API (v3) that uses OAuth 2.0 and application registration. It is designed mainly for sellers and approved applications that manage listings, inventory, and orders for shops that have authorized them, and it is subject to usage limits. Whether it covers your research needs depends on the data and volume you require, so review Etsy's developer documentation first. MrScraper can complement the official API when you need to work with publicly displayed listing pages, subject to the practices described above.

3. What data can be collected from Etsy listings?

From search and category pages, fields include title, listing URL, image links, shop name, rating, review count, price, original price, discount, color options, badges, sponsored placement, and free shipping status. On listing detail pages, you can also collect the displayed sold count and review information where shown.

4. Can I collect shop-level data, not just individual listings?

Yes. Shop-level details displayed publicly, such as the shop name, overall rating, review count, Star Seller badge, and shop location, can be collected from shop pages. This helps analysts compare shops and understand seller track records.

5. Can I track Etsy prices over time?

Yes. Schedule recurring jobs (hourly, daily, or weekly) to monitor price changes, promotions, and displayed sold counts for your chosen searches or categories.

6. Can I collect Etsy product reviews?

Yes. Publicly displayed review information, such as star ratings, review dates, and written review text, can be collected from listing pages and used for sentiment and product quality analysis. We recommend avoiding the collection of reviewer personal identifiers.

7. What export formats are available?

Download results from the dashboard as JSON or CSV. You can also receive data through the REST API, stream it with Webhooks, or send it to storage such as Amazon S3, PostgreSQL, or MySQL.

8. Can I use MrScraper without coding?

Yes. Paste an Etsy search, category, or listing URL into the dashboard, describe the fields you want in plain English, and preview and download the results as CSV or JSON.

9. How is collecting Etsy data different from collecting eBay data?

Etsy is built around independent shop storefronts, handmade and vintage items, Star Seller badges, and displayed sold counts. eBay combines fixed-price listings with auctions and uses item condition labels such as Brand New, Certified Refurbished, and Pre-Owned. Learn more in our guide on extracting product details from eBay.

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