Vinted Secondhand Listings, Closets & Seller Feedback
Search Vinted secondhand fashion listings by keyword, brand, size, color, material and price across 19 storefronts, or pull a seller's closet, a brand's catalog, or a seller's feedback history.
Open in Apify Store$0.99 / 1K on Free
Short answer
Vinted Secondhand Listings, Closets & Seller Feedback is an Apify Store Actor for Vinted data that returns 10 published output fields, including title, brandTitle, condition, priceAmount. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 24 input settings; 2 are required (mode, country). It covers 4 of the 6 core Vinted fields this site tracks. Last updated Oct 25, 2026.
From the public Store listing and published build schema, synced 2026-11-12.What it returns
10 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
recordTypetitlebrandTitleconditionpriceAmountpriceCurrencysellerLoginsellerRatingsourceCountryitemUrl
Not in the schema among the core Vinted fields: seller, item. The field matrix shows which other tools return them.
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | Yes | search | search: keyword/filters → items. byUrl: explicit Vinted item, member, brand, catalog or search URLs. byUser: profile + closet. byBrand / byCatalog: listings for a brand or category. byBrandSearch: brand registry. byUserFeedbacks: seller reviews. |
| country | string | Yes | com | Vinted market to query. The market controls currency, language and local inventory. |
| searchText | string | No | – | Free-text keyword. Leave empty with a brand/category filter to browse. A bare run defaults to adidas. |
| order | string | No | relevance | Result ordering for item searches. |
| urls | array | No | [] | Item, member, brand, catalog or filtered search URLs. Mixed country domains are supported. |
| userId | string | No | – | Numeric Vinted user ID, username, or member URL. |
| brandId | string | No | – | Numeric brand ID or brand URL. Discover IDs with Search brand registry. |
| catalogId | string | No | – | Numeric category ID or /catalog/<id>-slug URL. |
| brandKeyword | string | No | – | Keyword to search the Vinted brand registry. |
| brandIds | array | No | [] | Numeric brand IDs, e.g. [53] for Nike. |
Show the other 14 settings
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| catalogIds | array | No | [] | Numeric category IDs, e.g. [1904] for Women. |
| sizeIds | array | No | [] | Numeric Vinted size IDs. Use the size facet shown on a Vinted search URL. |
| color | string | No | any | Single colour filter. Choose any to leave it unfiltered. |
| materialIds | array | No | [] | Numeric material IDs from Vinted's Material facet (e.g. 44 = Cotton). |
| condition | string | No | any | Vinted condition. Choose any to leave it unfiltered. |
| priceFrom | integer | No | – | Minimum price in the market's local currency. |
| priceTo | integer | No | – | Maximum price in the market's local currency. |
| deepSearch | boolean | No | false | Vinted returns at most 960 results per query. Deep search splits the query into price bands so it can collect more (more requests, slower). |
| includeItemDetails | boolean | No | false | Open each item page for description, colour, material, category, condition ID, upload age, all photos and seller rating. One extra request per item. |
| includeSellerStats | boolean | No | false | Add seller rating, feedback count, item/sold counts, followers and shop identity (one profile request per distinct seller). |
| minRating | number | No | – | Drop items whose seller rating is below this value (0–5). Items without a rating pass through. Automatically enables seller stats. |
| containsKeyword | string | No | – | Drop items whose title or description does not contain this keyword (case-insensitive). Without item details only the title is searched. |
| maxItems | integer | No | 50 | Hard cap on emitted records. Values above 960 need deep search. |
| feedbackType | string | No | all | All reviews, member-written reviews, or Vinted's automatic sale-completion entries. |
Example input
Built from the input form's published example values and defaults.
{
"mode": "search",
"country": "com",
"searchText": "adidas",
"order": "relevance",
"urls": [],
"brandIds": [],
"catalogIds": [],
"sizeIds": [],
"color": "any",
"materialIds": [],
"condition": "any",
"deepSearch": false,
"includeItemDetails": false,
"includeSellerStats": false,
"maxItems": 1,
"feedbackType": "all"
} Run it from code or an AI agent
The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.
Python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
"mode": "search",
"country": "com",
"searchText": "adidas",
"order": "relevance",
"urls": [],
"brandIds": [],
"catalogIds": [],
"sizeIds": [],
"color": "any",
"materialIds": [],
"condition": "any",
"deepSearch": False,
"includeItemDetails": False,
"includeSellerStats": False,
"maxItems": 1,
"feedbackType": "all"
}
run = client.actor("vexaloom-labs/vinted-secondhand-listings-closets-and-seller").call(run_input=run_input)
if run is None:
raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item) pip install apify-client
JavaScript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
"mode": "search",
"country": "com",
"searchText": "adidas",
"order": "relevance",
"urls": [],
"brandIds": [],
"catalogIds": [],
"sizeIds": [],
"color": "any",
"materialIds": [],
"condition": "any",
"deepSearch": false,
"includeItemDetails": false,
"includeSellerStats": false,
"maxItems": 1,
"feedbackType": "all"
};
const run = await client.actor("vexaloom-labs/vinted-secondhand-listings-closets-and-seller").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items); npm install apify-client
cURL
curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~vinted-secondhand-listings-closets-and-seller/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"mode":"search","country":"com","searchText":"adidas","order":"relevance","urls":[],"brandIds":[],"catalogIds":[],"sizeIds":[],"color":"any","materialIds":[],"condition":"any","deepSearch":false,"includeItemDetails":false,"includeSellerStats":false,"maxItems":1,"feedbackType":"all"}' Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).
MCP (AI agents)
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=vexaloom-labs/vinted-secondhand-listings-closets-and-seller",
"headers": {
"Authorization": "Bearer <YOUR_APIFY_TOKEN>"
}
}
}
} Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.
What a run costs
The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.
| Apify plan | Per 1,000 | 10,000 results | 100,000 results |
|---|---|---|---|
| Free plan | $0.99 | $9.90 | $99 |
| Starter plan | $0.82 | $8.20 | $82 |
| Scale plan | $0.66 | $6.60 | $66 |
| Business plan | $0.49 | $4.90 | $49 |
- Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 1 GB a run starts at $0.10 on Free. Fewer, larger runs keep this small.
- The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
- Worked example: 10,000 results in one run on the Free plan cost $10 ($9.90 for results + $0.10 start), plus Apify platform usage (compute), billed separately by Apify.
- Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.
Where it fits among Vinted routes
It ranks 1 of 1 catalogue Actors for Vinted on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.
- 1 Vinted Secondhand Listings, Closets & Seller Feedback 10 output fields, pay per event 4 of 6 core fields
$0.99 / 1K - + 6 other Store tools, combined Reference only 6 of 6 core fields
from $1.00 / 1K - API Vinted Pro Integrations API Limited access fields not compared
Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.
Official route: Vinted Pro Integrations API
Limited access. The Vinted Pro Integrations API lets allowlisted Vinted Pro businesses create and manage their own listings, orders and shipments, with webhooks and price suggestions. It does not offer general reading of other sellers' listings.
No public self-serve price is published.
Other Store tools for Vinted
Reference only, from their public listings.
| Tool | Fields | Price / 1K |
|---|---|---|
| Vinted Scraper · 5,000 Free Listings/Month | 57 | $1.00 |
| Vinted Products Crawler | 29 | $1.50 |
| Vinted Smart Scraper: Listings, Sellers & Prices | 79 | $2.50 |
| Vinted Scraper | 27 | $1.50 |
| Vinted Scraper: Search, Items, Prices & Profiles | – | $1.00 |
What people use it for
- search secondhand listings
- inspect seller closets
- review seller feedback
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Questions people ask
How much does Vinted Secondhand Listings, Closets & Seller Feedback cost?
The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.
What data does Vinted Secondhand Listings, Closets & Seller Feedback return?
Its published output schema lists 10 fields: recordType, title, brandTitle, condition, priceAmount, priceCurrency, sellerLogin, sellerRating, sourceCountry, itemUrl. A listed field is not guaranteed to be filled in every row.
What input does Vinted Secondhand Listings, Closets & Seller Feedback need?
Required: mode, country. Optional settings include searchText, order, urls, userId, brandId, catalogId.
How do I run Vinted Secondhand Listings, Closets & Seller Feedback from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("vexaloom-labs/vinted-secondhand-listings-closets-and-seller").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("vexaloom-labs/vinted-secondhand-listings-closets-and-seller").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/vexaloom-labs~vinted-secondhand-listings-closets-and-seller/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- Vinted Secondhand Listings, Closets & Seller Feedback on Apify Store
- Published build with input and output schema (JSON)
- Vinted Pro Integrations API documentation
Cite this page
Scraper Finder. "Vinted Secondhand Listings, Closets & Seller Feedback." https://scraperfinder.com/catalogue/vinted-secondhand-listings-closets-and-seller/ (data checked 2026-11-12).
Run Vinted Secondhand Listings, Closets & Seller Feedback
$0.99 per 1,000 results. Paste the example input above, set your Vinted query, then export the dataset. Still choosing? Compare every Vinted route.