Etsy Scraping
Comprehensive data extraction from Etsy — handmade and vintage product listings, seller profiles, pricing, reviews, favorites, tags, and trend data from the world's largest handmade marketplace with 10M+ sellers and 500M+ listings.
10M+
Sellers
500M+
Listings
99.1%
Success Rate
Daily
Updates
Etsy Data We Extract
Every data point available on Etsy — from product listings and pricing to seller intelligence, reviews, and favorites — structured for niche marketplace analytics at scale
- Listing ID & listing URL
- Full title & product description
- Up to 13 seller-defined tags
- Product images & variations
- Materials & production methods
- Processing time & ship-from location
- Current price & original price
- Sale discount percentage
- Shipping cost per destination
- Free shipping flag & thresholds
- Currency & USD normalization
- Quantity-based pricing tiers
- Overall star rating (1-5 scale)
- Individual review text & date
- Review images & buyer photos
- Buyer location & repeat buyer flag
- Review velocity over time
- Shop-level rating distribution
- Listing favorites count
- Shop total favorites & followers
- Favorite velocity tracking
- Trending listing detection
- Wishlisted item monitoring
- Engagement-to-sales correlation
- Shop name & shop URL
- Star Seller badge status
- Total sales & review count
- Shop location & member since date
- Shop policies & return terms
- About section & shop story
- Search result position by keyword
- Etsy Ads sponsored placement flag
- Category browse page ranking
- Bestseller badge detection
- Search result count per query
- Rank change tracking over time
Full Etsy Ecosystem Coverage
Etsy is more than a marketplace — it is a seller ecosystem with advertising tools, quality programs, premium subscriptions, and external promotion channels. We cover all of it.
Etsy Intelligence Use Cases
How handmade sellers, vintage dealers, and market analysts use Etsy data to compete across the North American marketplace — from dynamic pricing optimization to competitive monitoring
- Price distribution by category & material
- Shipping cost impact analysis
- Sale discount frequency & depth
- Premium vs value positioning gaps
- Shop-level sales volume estimation
- Review sentiment & rating comparison
- Product catalog breadth tracking
- Star Seller qualification monitoring
- Favorite velocity trend scoring
- New listing surge detection
- Seasonal demand pattern analysis
- Emerging category identification
- Tag frequency by category & niche
- High-converting keyword identification
- Competitor tag gap analysis
- Long-tail keyword opportunities
- Sentiment scoring per listing & shop
- Product quality theme extraction
- Customer complaint pattern detection
- Review image analysis & categorization
- Brand mention detection in titles & tags
- Visual similarity flagging
- New shop & listing alert triggers
- Intellectual property risk scoring
Sample Data Schema
A representative Etsy product record showing the fields, types, and example values delivered in your dataset — see our price monitoring guide for how to use this data effectively
GET /v1/etsy/listing/1234567890| Field | Type | Example Value |
|---|---|---|
| listing_id | string | 1234567890 |
| product_name | string | Handmade Leather Journal - Personalized |
| shop_name | string | VintageLeatherCraft |
| star_seller | boolean | true |
| price | number | 42.99 |
| currency | string | USD |
| shipping_cost | number | 5.95 |
| free_shipping | boolean | false |
| reviews_count | number | 2,847 |
| rating | number | 4.8 |
| favorites_count | number | 12,403 |
| category_path | string | Accessories > Journals & Notebooks |
| is_handmade | boolean | true |
| materials | array | ["genuine leather", "handmade paper", "waxed thread"] |
Built for Etsy's Handmade & Vintage Ecosystem
Etsy is a unique marketplace where handmade artisans, vintage dealers, and craft suppliers operate alongside Etsy's search algorithm, Star Seller program, and advertising tools. Generic scrapers miss the nuances — our specialized infrastructure understands Etsy's ecosystem from handmade fashion and jewelry to vintage collectibles.
Handmade & Vintage Specialization
Etsy's marketplace spans handmade goods, vintage items, and craft supplies — each with different pricing dynamics, buyer expectations, and seller behaviors. Our extraction models are calibrated specifically for these categories, capturing materials, production methods, and authenticity signals that generic scrapers ignore.
Shop Performance Analysis
We go beyond basic listing data to build comprehensive seller intelligence — combining review velocity, favorites growth, Star Seller status, shop age, and catalog depth into performance profiles that enable meaningful competitive benchmarking across any Etsy category.
Search Algorithm Understanding
Etsy's search ranking algorithm weighs listing quality scores, recency, tags, shipping speed, and seller history. Our keyword and ranking extraction captures all of these signals, enabling you to reverse-engineer what drives visibility in Etsy search results and optimize accordingly.
Artisan Marketplace Analytics and Handmade Product Intelligence
Etsy's focus on handmade, vintage, and craft supply products creates a marketplace with data characteristics that differ fundamentally from mass-market platforms. Extracting intelligence from Etsy requires understanding that pricing reflects artisan labor costs, material sourcing, and perceived uniqueness rather than commoditized manufacturing economics. Monitoring Etsy's search algorithm, which weighs listing quality scores, recency, shop reputation, and keyword relevance, reveals how niche product discovery works in a marketplace of over 9 million active sellers. Tracking which product tags, categories, and listing attributes correlate with higher visibility helps sellers optimize their positioning in a marketplace where organic search drives the majority of transactions — and understanding the tradeoffs between web scraping versus official APIs for ecommerce is essential for building reliable data pipelines at this scale.
Strategic Etsy data extraction also uncovers valuable trend intelligence for the broader handmade and personalized product economy. Monitoring the emergence of new product categories, seasonal gift-buying patterns, and the pricing premiums that buyers pay for customization options helps both individual sellers and larger brands understand consumer appetite for artisanal goods. Etsy's Star Seller program metrics, review sentiment analysis, and shop-level sales velocity data provide signals about which product niches are growing and which are becoming saturated — intelligence that feeds directly into our market trend analysis workflows. For market researchers studying the creator economy, Etsy data delivered through our API integration offers a unique lens into how independent makers compete on value, storytelling, and craftsmanship rather than price alone.
Ready to Extract Etsy Market Intelligence?
Monitor Etsy sellers, track handmade product trends, and analyze marketplace data across 500M+ listings with our specialized extraction infrastructure.
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Our team will work with you to build a custom data extraction solution that meets your specific needs.
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Etsy Data Extraction FAQs
Common questions about listing categories, review velocity, tag data, favorites tracking, Star Seller monitoring, and advertising intelligence.
Yes. Etsy's three primary listing categories — handmade, vintage (20+ years old), and craft supplies — are extracted and tagged as separate fields. This allows you to filter your dataset by category type and analyze pricing, demand, and seller behavior differently across each segment.
Etsy operates in dozens of countries with localized currency and shipping options. We extract prices in the seller's listed currency, the buyer's regional currency, and a normalized USD equivalent using live exchange rates. Shipping costs and delivery estimates are also extracted per destination region.
Yes. Review velocity — the rate at which new reviews are posted for a seller or product — is one of the strongest publicly observable proxies for Etsy sales volume. We track review counts over time and use machine learning models to estimate monthly sales ranges based on this data, calibrated against known Etsy seller benchmarks.
Yes. Every Etsy listing includes up to 13 seller-defined tags. We extract all tags for every product, allowing you to analyze which keywords top-performing sellers are targeting, identify underused keyword opportunities, and benchmark your own SEO strategy against successful competitors.
Yes. The number of times a listing has been favorited is publicly visible on Etsy and is a direct demand signal. We capture favorites counts per listing and per shop, track changes over time, and use AI-powered algorithms to surface trending listings by favorite velocity — a leading indicator of products likely to sell well.
Standard Etsy data refreshes daily because most Etsy seller pricing and inventory changes happen on a daily cycle rather than hourly. For clients monitoring specific high-velocity sellers or trending product categories, we offer 6-hour refresh cycles as an upgrade. Real-time monitoring is not available for Etsy due to platform constraints.
Yes. We capture the Star Seller badge status on every seller profile extraction and maintain a historical record. When a seller gains or loses Star Seller status, this is flagged in the dataset. You can use this data to track how Star Seller qualification correlates with pricing, review velocity, and shop growth — and to monitor competitors' quality benchmarks.
Yes. When extracting Etsy search results, we flag listings that are promoted via Etsy Ads separately from organic results. Each sponsored listing includes its ad position, the associated keyword, and the seller and product details. This advertising intelligence lets you track which competitors are investing in paid visibility for specific search terms and product categories.
Etsy organizes listings into three core categories. Handmade items must be made or designed by the seller. Vintage items must be at least 20 years old. Craft supplies are materials and tools used for creating handmade goods. Each category has distinct listing rules, buyer expectations, and pricing dynamics that influence marketplace behavior.
Etsy's search algorithm weighs multiple factors including listing quality score, tag relevance, recency of listing or renewal, shipping price, seller history, and conversion rate. Listings with complete tags, competitive shipping, strong review scores, and recent activity tend to rank higher. Etsy also personalizes results based on individual buyer behavior and preferences.
Etsy charges a $0.20 listing fee per item that lasts four months or until the item sells. When an item sells, Etsy takes a 6.5% transaction fee on the sale price including shipping. Sellers using Etsy Payments also pay a payment processing fee. Offsite Ads charge an additional 12-15% commission on sales generated through external advertising channels.
To qualify for Star Seller, shops must maintain a 95% or higher message response rate within 24 hours, ship at least 95% of orders on time with tracking, and earn a 4.8-star or higher average review rating. These metrics are evaluated on a rolling three-month basis, and sellers must have at least 10 orders and $300 in sales during the review period.
Each Etsy listing allows up to 13 tags of up to 20 characters each. Tags are one of the primary ways Etsy matches listings to buyer search queries. Using all 13 tags with a mix of broad and specific multi-word phrases improves discoverability. Tags should describe materials, style, intended use, and occasions rather than repeating words already in the title.
Offsite Ads is Etsy's program that promotes listings on Google, Facebook, Instagram, Pinterest, and Bing. Sellers with under $10,000 in annual revenue can opt out, while those above that threshold are automatically enrolled. When a buyer clicks an offsite ad and purchases within 30 days, the seller pays a 15% commission (or 12% for high-volume sellers) on the attributed sale.