Skip to content

Scraping Data from Etsy: A Comprehensive Guide

Etsy‘s remarkable growth from a handmade goods marketplace to an ecommerce powerhouse makes it a treasure trove of data. This guide will share comprehensive insights on extracting value from Etsy through web scraping.

The Rising Popularity of Etsy‘s Marketplace

Founded in 2005, Etsy offered a platform for artists, craftsmen and vintage goods sellers to reach a wider audience online.

Over the years, Etsy has rapidly expanded its seller and buyer base:

  • As of 2024, Etsy has over 96 million active buyers worldwide.
  • The marketplace boasts over 5.3 million active sellers currently.
  • Total annual sales on Etsy touched $13.3 billion in 2021, up over 100% since 2018.
YearActive SellersActive BuyersTotal Sales
20182.1 million39.4 million$6.2 billion
20192.7 million47.2 million$8.0 billion
20204.2 million81.9 million$10.3 billion
20215.3 million96.1 million$13.3 billion

With scale comes greater potential for data-driven businesses to derive insights using Etsy‘s marketplace data. Let‘s look at what kind of data can be extracted.

Types of Data Available on Etsy

Etsy pages can be categorized into three types, each containing valuable scrapable data.

Product Pages

These display listings matching a particular search term or category. Each product has key details like:

  • Title
  • Price
  • Reviews
  • Shop name
  • Images
  • Tags like Bestseller, Etsy‘s Pick etc.

Based on my experience, product pages are ideal for monitoring search trends, analyzing seller competition and tracking price movements.

Product Listing Pages

Every product on Etsy has its own dedicated page with richer data:

  • Complete product description
  • Multiple images
  • Exact review count
  • Complete shop rating
  • Shipping rates
  • Stock quantity

Product listing pages offer the most comprehensive data for building supplier databases, gathering images or doing customer research.

Shop Home Pages

These provide useful data about the sellers:

  • Shop name & description
  • Owner‘s profile
  • Total sales number
  • Shop policies
  • Full list of items
  • All shop reviews

Scraping shop home pages helps better understand seller demographics and identify successful shop strategies and practices.

Next we‘ll see how to extract these fields using Python.

Scraping Etsy Product Data with Python

Due to Etsy‘s anti-scraping measures, the scraping code needs to use proxies, custom headers and browser-like user agents to avoid detection.

Here is a sample script to scrape data from an Etsy listing page using the Requests module in Python:

import requests
import json

url = ‘‘

# Proxy setup
proxies = {
  ‘http‘: ‘‘,  
  ‘https‘: ‘‘,

headers = {
    ‘User-Agent‘: ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.110 Safari/537.36‘

# Get page HTML using proxy  
page = requests.get(url, proxies=proxies, headers=headers)

# Parse HTML to extract data
title = page.find(‘#title-text‘).text
price = page.select_one(‘.currency‘).text

data = {
  ‘title‘: title,
  ‘price‘: price

print(json.dumps(data, indent=2))

This will print the scrapped title and price JSON data to the console.

To scale up the scraping, libraries like Selenium and Scrapy are more robust options vs Requests. Scrapy in particular is suitable for crawling thousands of listings by following pagination links.

For dynamically loaded content, Selenium provides full Javascript rendering to obtain complete page data.

Storing Scraped Etsy Data

Scraped data can be stored in structured formats like:

  • JSON – Convenient for ingesting into other Python scripts for analysis.
  • CSV – For easy analysis in Excel/Tableau or importing into databases.
  • Databases – PostgreSQL, MySQL etc. for structured storage at scale.
  • Google Sheets – Scraped data can be directly appended via Sheety API.
Product URLTitleDescriptionPriceRating PendantVintage brass pendant necklace$254.9 BlanketHandmade cotton crochet blanket$684.8

For example, the above product data can be stored in a CSV format for easier analysis and visibility.

What Can You Do with Etsy Data?

Scraped Etsy data can provide valuable insights for various purposes:

  • Market Research – Identify top selling products, analyze pricing trends, monitor shop performance over time.
  • Competitor Monitoring – Track listings of competitors, analyze pricing and inventory strategies.
  • SEO Optimization – Find top keywords, emerging trends and optimize listings for discoverability.
  • Lead Generation – Compile shop owner details for marketing like email campaigns, social media outreach.
  • Supplier Database – Discover manufacturers, artisans and suppliers for your own ecommerce business.
  • Machine Learning – Product images and descriptions can be used to train ML classifiers.

The applications are vast for businesses looking to leverage Etsy‘s marketplace data at scale.

Tips for Effective Etsy Scraping

Based on my experience with proxy-based web scraping, here are some tips:

  • Use residential proxies and frequently rotate IP addresses to avoid blocks.
  • Implement random delays between requests to mimic human browsing patterns.
  • Scrape during low-traffic hours like early morning or late nights to stay under the radar.
  • Solve CAPTCHAs manually or use a CAPTCHA solving service for automated scraping.
  • Consider deploying the scraper on cloud servers for maximum reliability and uptime.
  • Start with a small volume of requests and slowly scale up over days/weeks rather than scraping aggressively at once.
  • Use robust frameworks like Scrapy or Selenium instead of coding everything from scratch.
  • Evaluate if an established paid scraping service meets your requirements before building in-house.

FAQs About Scraping Etsy

Over the years, some common Etsy scraping questions I‘ve come across:

Q: Does Etsy allow web scraping?
A: There are no explicit restrictions, but you should scrape ethically without overloading servers.

Q: Can I get blocked even if using proxies?
A: Yes, because Etsy may fingerprint your scraping pattern or behavior. Rotate proxies and randomize delays.

Q: Are there any legal issues with Etsy scraping?
A: Scraping public data in a non-disruptive way does not violate Etsy‘s ToS. But consult a lawyer for legal advice.

Q: What scrapers work best for Etsy?
A: For JavaScript heavy pages, Selenium with proxy rotation tends to work well based on my experience.


In closing, Etsy is a goldmine of marketplace data for ecommerce businesses, analysts and researchers. Scraping Etsy requires dealing with anti-bot measures, but becomes feasible with the right toolkit and techniques. This guide has provided a comprehensive overview of key steps, strategies and tools for extracting data from Etsy at scale. The data can enable powerful analytics and BUSINESS insights when scraped systematically.

Join the conversation

Your email address will not be published. Required fields are marked *