Dataset MarketplaceE-commerceVinted - Global

Vinted - Global

Use our Vinted - Global dataset to explore secondhand fashion listings across global markets, including pricing, condition details, seller information, and engagement metrics. Popular use cases include circular economy analysis, resale market trends, and sustainable fashion intelligence. Use it for enrichment, market research, and lead generation — sample the fields free, then pull the records you need on demand.
vinted.com Public web data Monthly refresh
Data-fields
86
Total records
2.73K
Price
up to $0.005/record
Min order
$350
Data sample
Description
Statistics
Dictionary
Related
Data sample
urlviewsis_promostore_iddb_sourceseller_idtimestampquantity_sold
https://www.vinted.com/items/2257325058-xbox360-with-cables-headphones17684139967811082201712026-01-14
https://www.vinted.fr/items/7937602824-baskets-air-jordan?ID=793760282176841399678145075642026-01-14
https://www.vinted.com/items/2015113688-batman-arkham-city-xbox-360?ID1768413996781787879352026-01-14
https://www.vinted.com/items/7689098616-marvel-avengers-battle-for-ear17684139967813149936872026-01-14
https://www.vinted.com/items/7776072775-vintage-microsoft-office-97-sm17684139967812803870462026-01-14
https://www.vinted.com/items/7910194947-madden-24?ID=791019494717684139967812491518492026-01-14
https://www.vinted.com/items/7741505680-jordans-1-brooklyn-boots-saill176841399678131237575062026-01-14
https://www.vinted.com/items/7934232622-nike-mens-quarter-zip-therma-t17684139967811696806752026-01-14
https://www.vinted.com/items/7940736060-blue-nike-t-shirt?ID=79407360617684139967812664866202026-01-14
https://www.vinted.fr/items/7932071337-air-jordans?ID=79320713371768413996781566878152026-01-14
https://www.vinted.com/items/7942397557-nike-air-max-270?ID=794239755717684139967812602637502026-01-14
https://www.vinted.com/items/7927535629-walking-dead?ID=792753562917684139967812768845432026-01-14
Description
The Vinted - Global dataset standardizes vinted.com data into analysis-ready fields: url, star_rating_distribution, quantity_sold, views, is_promo, seller_id, store_id, other_price_options, and more. Use our Vinted - Global dataset to explore secondhand fashion listings across global markets, including pricing, condition details, seller information, and engagement metrics. Popular use cases include circular economy analysis, resale market trends, and sustainable fashion intelligence. Common uses include enrichment, lead generation, market and competitor research, and feeding downstream AI models. 2.73K records available, refreshed monthly, from $0.005 per record — minimum order $350. Preview a sample free before you buy.
Record updates over time
17,829
Last 7 days
11,589
7-30 days
5,349
30-90 days
1,426
90+ days
Data dictionary
Column nameDescriptionTypeFill rate
url Complete product URL link from the website for direct access to the product page Url
100%
star_rating_distribution star_rating_distribution Object
100%
quantity_sold quantity_sold Array
0%
views views Array
0%
is_promo is_promo Boolean
0%
seller_id seller_id Text
100%
store_id store_id Text
0%
other_price_options other_price_options Array
0%
sales_rank_history Array
0%
sku A Unique identifier derived from the url, used in future to be inputted in a template of the url to be able to be used in automation Text
100%
rootdomain Extract the domain from the URL (e.g., from https://www.amazon.com/product extract 'amazon.com') no http(s) or www Text
100%
name Name of the product as shown on the website Text
100%
brand Brand full name as displayed on the website (e.g., 'Nike', 'Adidas', 'Zara') Text
51.04%
currency Currency code as scraped from the website (e.g., 'USD', 'EUR', 'GBP') Text
100%
price The current sale price displayed on the website, including any active discounts Number
100%
uvp Extract recommended retail price from German sites (look for 'UVP' label). Parse numeric value Number
0%
image_urls Collect all image URLs from product gallery in display order. Return as JSON array of URL strings Array
100%
store_name Find store or brand storefront name in seller section or page header Text
0%
shipping_options Extract all shipping methods with cost and delivery dates. Return as JSON array with objects containing cost, time, and method Array
98.32%
skus_coupons skus_coupons Object
100%
protection_price protection_price Number
100%
is_price_range is_price_range Boolean
0%
category The full category tree separated by '>' sign without spaces between for example: "Home & Kitchen>Dining>Dinnerware>Dinnerware Sets" Text
100%
date date Text
100%
time time Text
100%
source source Text
100%
upc Find UPC barcode number in product details or specifications section. Usually 12 digits Text
0%
ean Find EAN barcode in product specifications. Usually 13 digits, common in European markets Text
0%
mpn Extract Manufacturer Part Number from product details or technical specifications section Text
0%
item_number Find item number or model number in product specifications. May be labeled as 'Item #' or 'Model' Text
0%
store_sku Extract store's internal SKU if different from main SKU. Look in product details or metadata Text
0%
availability Current stock status as an integer (0=Unknown, 1=In Stock, 2=Out of Stock) Number
100%
average_customer_review Extract average star rating from reviews section. Usually displayed as X.X out of 5 stars Number
0%
number_of_customer_reviews Find total review count near rating stars. May show as '1,234 reviews' or 'See all reviews' Number
0%
number_of_customer_ratings Extract total ratings count if shown separately from reviews. Sometimes identical to review count Number
0%
best_seller_rank_top_level_category best_seller_rank_top_level_category Number
0%
best_seller_rank_product_category best_seller_rank_product_category Number
0%
department department Text
0%
attributes json: All additional information from the website including materials composition, fit type, care instructions, breadcrumb navigation, sizing information, and technical specifications in a valid json format Array
100%
description Full product description as provided on the website, including key features and selling points Text
100%
features Extract bullet points or feature list from product details section. Return as JSON array of strings Text
0%
variants variants Array
0%
parent_sku parent_sku Text
0%
redirected_sku redirected_sku Text
0%
package_height package_height Number
0%
item_width item_width Number
0%
item_height item_height Number
0%
frequently_bought_together frequently_bought_together Array
0%
is_sponsored is_sponsored Boolean
0%
model model Text
0%
variant_attributes Extract selected variant options (color, size, style) from product selectors. Return as JSON object Array
0%
variants_attributes variants_attributes Array
0%
is_official_seller Check if seller has 'Official', 'Authorized', or brand verification badge. Return 1 if yes, 0 if no Number
0%
number_of_favorites Find wishlist or favorite count if displayed (e.g., '1.2K favorites'). Parse to number Number
64.57%
manufacturers_id manufacturers_id Array
0%
ships_from ships_from Text
100%
promo_text Extract any additional promotional banners or special offer text displayed on the page Text
0%
seller_stats seller_stats Array
100%
sku_offer_info sku_offer_info Array
0%
list_price Original price before any discounts Number
0%
price_by_unit Extract unit price text displayed near main price (e.g., '$2.00 per ounce', '$14.50 per count') Text
0%
price_per_unit Parse numeric value from unit price text for comparison. Extract just the number Number
0%
deal_text Capture full promotional message or savings text (e.g., 'Save $20 (25% off)') Text
0%
video_count Count number of video thumbnails or video players in product media section Number
0%
number_of_payments Find installment plan option near price (e.g., '4 interest-free payments'). Extract the number Number
0%
price_per_payment Extract installment amount from payment plan text (e.g., from '4 payments of $25' extract 25) Number
0%
total_payments_price Calculate or extract total cost when using installment plan. May be shown as 'Total: $100' Number
0%
document_count Count downloadable files in 'Documents & Manuals' or similar section (PDFs, guides) Number
0%
is_aplus Check if enhanced content section exists below product details (Amazon A+). Return 1 if yes, 0 if no Boolean
0%
aplus_premium Check if A+ content includes premium modules (interactive images, carousels). Return 1 if yes, 0 if no Boolean
0%
aplus_faq Check if A+ content has FAQ or Q&A module. Return 1 if present, 0 if absent Boolean
0%
aplus_video Check if A+ content includes embedded videos. Return 1 if video found, 0 if not Boolean
0%
aplus_comparison Look for product comparison chart or table in A+ content section. Return 1 if found, 0 if not Boolean
0%
panorama_count Count 360-degree view icons or interactive spin images in product gallery Number
0%
seller_name Extract seller name from 'Sold by' or 'Ships from' section near buy button Text
100%
is_missing_variant is_missing_variant Boolean
0%
zip_code Extract ZIP code if shown for delivery estimates or location-based pricing Text
0%
suppressed_buybox_indication suppressed_buybox_indication Boolean
0%
best_seller_badge best_seller_badge Boolean
0%
amazons_choice_badge amazons_choice_badge Boolean
0%
climate_pledge_friendly climate_pledge_friendly Boolean
0%
internationally_available internationally_available Boolean
0%
pre_coupon_price pre_coupon_price Number
0%
in_store_only in_store_only Boolean
0%
page_title page_title Text
100%
timestamp Date
%