Vinted Scraper

Search public Vinted catalog listings by keyword or filtered catalog URL. Export Vinted asking prices, brands, sizes, condition labels, main photos, and product links to structured JSON, CSV, or Excel for resale research and repeatable market checks. This scraper reads the catalog that a visitor can see without signing in; it does not open each item page.

The input supports multiple searches in one run. Choose a country for keyword searches, or paste catalog URLs that already contain category, brand, size, price, and sort filters. Each saved row includes the search that produced it and a UTC collection time, so overlapping queries and later snapshots are easier to compare.

What data can you extract from Vinted?

One dataset row represents one listing found on a public catalog page. The following fields are flat and keep the same names across markets. A null value means that the catalog did not show that detail; it does not mean zero or an empty seller account.

Field	Description	Example
id	Public listing identifier, useful for matching snapshots.	10141260203
title	Listing title displayed with the catalog card.	Nike polo
url	Direct public item link without tracking parameters.	https://www.vinted.com/items/10141260203-nike-polo
price	Asking price as a number.	5
currency	Currency code for the catalog country.	USD
brand	Brand label displayed in the card.	Nike
size	Public size label, if the card has one.	L
condition	Public condition label in the site's language.	Very good
imageUrl	URL of the main card image.	https://images1.vinted.net/...
photoUrls	List of card image URLs, normally containing the main image only.	[...]
totalPrice	Displayed amount including buyer protection, before shipping.	5.95
serviceFee	Difference between totalPrice and price.	0.95
sellerId	Seller identifier if the catalog exposes it.	null
sellerName	Seller name if the catalog exposes it.	null
sellerUrl	Seller profile link if the catalog exposes it.	null
favouriteCount	Favourite count if present on the card.	null
viewCount	View count if present on the card.	null
contentSource	Source page type.	catalog
searchTerm	Keyword that produced the row; null for a supplied URL.	nike
searchUrl	Catalog URL used for this search.	https://www.vinted.com/catalog?search_text=nike&order=newest_first
siteCountry	Country code of the catalog domain.	us
collectedAt	UTC timestamp when the run collected the page.	2026-09-26T13:35:21.316839+00:00

Catalog cards currently expose the main image rather than a full photo gallery. Seller identity, favourites, and views are retained as nullable fields for a stable export shape, but the catalog pages observed during validation did not supply their values. The scraper does not guess them or visit every listing to fill them. A full item detail export requires a different collection method and may face different access limits.

price is an asking price, not a confirmed sale price. totalPrice is the amount displayed next to the card with buyer protection included; it does not establish the final checkout amount. Shipping, taxes, promotions, and local rules can change the amount a buyer eventually pays. Keep currency with every value, especially when combining countries.

How to scrape Vinted

1. Enter one or more keywords, paste one or more filtered catalog URLs, or use both. Each entry is a separate search.
2. For keywords, select the country and optional price bounds. A pasted URL keeps the filters and country already in that URL.
3. Set maxProducts to the most listings you want from each search. Start with 40 or 50 to inspect the market before requesting many pages.
4. Run the actor and open its dataset. Inspect several item links and the currency before using prices in a report.
5. Download the dataset in JSON, CSV, or Excel. Repeat the same input later to compare snapshots by id.

For a narrow category, set the filters on the Vinted catalog page and copy its URL. A URL can encode category, brand, size, price, and order settings that would otherwise require several input fields. Direct item and seller profile URLs are outside this actor's search mode.

Input

Supply at least one keyword or catalog URL. An empty input fails with a clear message. The default country applies to keywords only; it never changes a supplied URL. The result limit is per search, while maxItems caps the dataset as a whole.

Parameter	Type	Default	Description
startUrls	List of URL objects	Empty	Public HTTPS Vinted catalog URLs. Each is searched independently.
keywords	List of strings	Empty	Terms to search on the selected country site.
country	Country code	us	Market for keyword searches. There are 26 selectable country domains.
minPrice	Number	Empty	Minimum asking price for keywords in the market currency.
maxPrice	Number	Empty	Maximum asking price for keywords in the market currency.
sort	Choice	newest_first	Sort keyword results by newest, relevance, or price.
maxProducts	Integer	50	Maximum products per URL or keyword, from 1 to 960.
maxItems	Integer	0	Total saved row cap across searches; zero adds no total cap.

For example, this input searches for denim jackets in the United States and runs a second search using a French catalog URL. The French URL retains its own price and sort settings. maxProducts applies separately, so the maximum before cross-search deduplication is 80 rows:

{
  "keywords": ["denim jacket"],
  "country": "us",
  "minPrice": 10,
  "maxPrice": 50,
  "sort": "newest_first",
  "startUrls": [
    {"url": "https://www.vinted.fr/catalog?search_text=veste%20en%20jean&price_to=40&order=newest_first"}
  ],
  "maxProducts": 40,
  "maxItems": 80
}

The country option covers Austria, Belgium, Croatia, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, the Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, the United Kingdom, and the United States. A selectable domain does not guarantee that every regional catalog is reachable from every run. Test a small search for a new market before relying on it for a large workflow.

Output example

This row came from the successful 40-item United States validation run on 26 September 2026. The link and image address are source data and may change or disappear as the listing changes. The example includes nulls for fields that the catalog did not expose.

{
  "id": "10141260203",
  "title": "Nike polo",
  "url": "https://www.vinted.com/items/10141260203-nike-polo",
  "price": 5,
  "currency": "USD",
  "brand": "Nike",
  "size": "L",
  "condition": "Very good",
  "imageUrl": "https://images1.vinted.net/t/04_01b5a_q62yJVhNVJbhssN3Jznz6dMb/310x430/0653942f.webp?s=003f8eaa28bb0a373f2ebdf56f38472890ce6ac2",
  "photoUrls": ["https://images1.vinted.net/t/04_01b5a_q62yJVhNVJbhssN3Jznz6dMb/310x430/0653942f.webp?s=003f8eaa28bb0a373f2ebdf56f38472890ce6ac2"],
  "totalPrice": 5.95,
  "serviceFee": 0.95,
  "sellerId": null,
  "sellerName": null,
  "sellerUrl": null,
  "favouriteCount": null,
  "viewCount": null,
  "contentSource": "catalog",
  "searchTerm": "nike",
  "searchUrl": "https://www.vinted.com/catalog?search_text=nike&order=newest_first",
  "siteCountry": "us",
  "collectedAt": "2026-09-26T13:35:21.316839+00:00"
}

The validation input requested 40 products. The run completed with 40 rows, and every row had an ID, title, URL, asking price, currency, brand, condition, main image URL, and country code. That result confirms the small public search used here; it does not guarantee the same fill rates for every category, filter, or regional site.

Use cases

• Resale price research: Compare current asking prices for a specific product type, brand, size, and condition before choosing a listing price. Keep the source URLs so an analyst can inspect outliers.
• New-listing review: Use newest-first sorting, run the same search on a schedule, and compare the returned IDs with the previous run. A new ID indicates a newly observed listing, not necessarily a newly created one.
• Category sampling: Collect a bounded sample from a catalog URL with selected categories and brands. Group the rows by condition and size to see the asking-price range for comparable items.
• Cross-market comparison: Run the same term in more than one country and preserve currency and siteCountry. Convert currencies separately before comparing numeric price levels.
• Inventory watchlists: Keep a set of relevant item IDs and revisit the public links when a buyer or researcher needs to inspect a listing. A missing row in a later search alone does not prove the product sold.
• Price-change snapshots: Store results from repeated runs, join by ID, and compare asking prices over time. Record collectedAt so changes have a clear observation date.

How much does it cost to scrape Vinted?

The configured result-event price is $1 per 1,000 saved listings, or $0.001 per saved row. The total is tied to rows written to the dataset, not the requested maxProducts value. A search with fewer available or reachable listings produces fewer saved rows. Check the run's cost and any applicable account or network charges before increasing volume.

Saved listings	Result-event calculation	Result-event charge
50	50 × $0.001	$0.05
1,000	1,000 × $0.001	$1.00
5,000	5,000 × $0.001	$5.00

Because one search is limited to at most 960 requested products, the larger examples require multiple distinct searches. Overlapping searches are deduplicated by listing ID within a run. Set maxItems when you need a firm row cap across all searches. The 40-row validation run would correspond to $0.04 in result events at this rate; its recorded runtime usage was separate from that simple row calculation.

Tips for best results

Use a specific keyword or a filtered catalog URL when you need a comparable set. Broad terms can mix unrelated product types, sizes, and conditions, so a raw average of all returned prices may be misleading. Review the titles and source links in a small sample before collecting more pages.

The catalog displays up to 96 cards per page. maxProducts is an upper bound, and the actor stops when it reaches the limit, sees no cards, reaches the page boundary, or runs out of distinct listings. On the tested United States search, pages 1 through 9 returned cards; a page 10 browser probe did not return cards. Other searches may have fewer pages, and the site's behavior can change. For a larger collection, split the market into distinct category, brand, size, condition, or price ranges using multiple catalog URLs. This produces narrower, more useful comparisons while working around any single search's visible page window.

When supplying several searches, use searchTerm and searchUrl to understand where each row came from. A repeated item is saved once per run, with the attribution of the first search that found it. If you need separate attribution for every overlap, run those searches separately. A supplied URL with a page parameter starts at that page and moves forward while public pagination permits it.

Start with a moderate maxProducts value, especially for a market you have not checked before. Public access sometimes changes by request or region. The actor first requests the page normally, then uses a browser session if access is blocked. If a search still cannot load, the run logs the stopped search and continues with other searches. Inspect the dataset count and run log together: a completed run with fewer rows can reflect access limits, sparse results, duplicate listings, or a changed page layout.

Limits

This is a public catalog listing scraper. It does not sign in, message sellers, purchase items, retrieve private information, or scrape item detail pages. It cannot establish that a product was sold. The data is a snapshot of visible asking prices at collection time, and links can become unavailable afterward.

The page may omit seller identity, favourite counts, view counts, additional photos, and full descriptions. Those fields remain null rather than being estimated. serviceFee is calculated only when both displayed price amounts are present; shipping is not included in the catalog total. Localized size and condition labels are preserved as displayed instead of translated, so group them carefully across countries.

Catalog access can be blocked or throttled. The actor can retry through a browser session and rotate its network session, but no method guarantees access. A country option is a domain choice rather than a promise of inventory in that region. Pagination visibility also varies; the maximum input limit does not guarantee that many products exist or can be reached.

Automated workflows

A scheduled workflow can run a small filtered search each morning, read the dataset, compare IDs with the previous snapshot, and send an alert for newly observed items. Another workflow can collect a weekly category sample, retain the link and currency for every row, and calculate price distributions by size and condition. In both cases, the workflow should check the completed run's row count before acting on the data.

For a one-off request, a clear instruction is: “Find up to 40 current denim jacket listings in France under 40 euros; return title, asking price, condition, and source link.” For monitoring: “Run this filtered catalog URL daily, compare listing IDs with yesterday's dataset, and report newly observed IDs.” These examples rely on public catalog data and do not imply a live purchase or a confirmed sale.

FAQ

Is scraping these listings legal?

Collect only publicly visible data that you have a lawful reason to use, respect the site's terms and access restrictions, and follow applicable privacy rules. Public visibility does not make seller details unrestricted for every purpose. This actor does not access accounts or private messages. If you publish derived data, review whether showing titles, images, and links is appropriate for that use.

Do I need an account or my own proxy?

No site login is needed for the public catalog mode. The actor handles its network access during a run. Access can still fail if the site challenges or blocks a session, so review the run log when the row count is unexpectedly low.

How fast is a run?

A small search usually needs one page request. The 40-row validation run completed in roughly 15 seconds after startup. Larger searches need more pages and can take longer, especially if a browser fallback or network rotation is required. Speed is not fixed across regions or days.

Can I filter by category, brand, size, or condition?

Yes. Set the filters on a public Vinted catalog page and pass its URL in startUrls. The keyword fields directly support country, price bounds, and sorting. The actor does not override filters embedded in a supplied URL.

Can I schedule price monitoring?

Yes. Schedule repeated runs with the same input, store each dataset, and compare rows by id and collectedAt. The actor does not maintain a built-in price history or decide whether a missing listing sold. Treat missing or changed results as observations to verify.

Can I export to a spreadsheet?

Yes. Export the dataset to CSV or Excel. The output uses flat fields for price and listing attributes; photoUrls is the one list field, and a spreadsheet may show it as text. JSON preserves its list structure.

Why is a field empty, or why are there fewer items than requested?

The catalog does not show every item detail. Seller identifiers, counts, and additional photos may be unavailable. The requested item count is a maximum; fewer rows can result from sparse inventory, duplicate IDs, pagination limits, or access failures. Check the search URL, dataset, and run log before repeating a large request.

Integrations

Use the run and dataset endpoints to start searches and retrieve results in an application or automation workflow. Webhooks can react to run completion; schedules can create regular snapshots; spreadsheet exports can feed reports. For larger datasets, retrieve rows in pages and keep the run ID, input, and collection time with the export. A downstream workflow should verify row counts and currencies before issuing alerts or calculating aggregate prices.

Support

Open an issue on the Issues tab; we reply within 24h and add fields on request. Include the run ID, a sample public catalog URL or keyword, the selected country, the observed row count, and the expected result. Do not include account credentials or private seller information.