Vinted Scraper: New Listings, Prices & Deal Alerts

For resellers and vintage dealers monitoring Vinted asking prices, new listings and price drops. A listing costs $0.0015: 100 listings cost $0.15, plus the small platform start charge. Optional full details add $0.0075 per successfully enriched listing. No Vinted login.

Search Nike trainers, vintage denim or the brands you buy regularly. Compare the same search across country sites, filter price, brand, size and condition, and export structured rows. Save a watch once and reuse its watchId to receive newly observed listings and lower prices in later runs. The first priced cloud test returned 20 listings in 11.8 seconds. Validation included 31 successful varied cloud inputs across eight country sites, ten readable live listing checks, and a public seller-statistics check. Extraction reads structured data inside public pages and does not require a browser.

What you get

Each LISTING row starts with a short verdict: its price, its position relative to the sampled search median, and its condition. Watch rows identify new observations or lower prices. A separate free SUMMARY reports delivered listings, new items, price drops, country medians and source failures.

Field	Meaning
verdict	Plain-language price, deal context and watch changes
itemId, title	Stable listing ID and source title
brand, size, condition	Public attributes in the site's language
price, currency	Original asking price and currency before shipping
totalPriceWithFees	Displayed total with Vinted fees when supplied; excludes shipping
priceConverted, convertedCurrency	Optional converted price for comparison
previousPrice, priceChange	Prior observed price and signed difference in original currency
isNewSinceLastRun	New to this watch; null outside watch mode
dealScore	Whole-number percent below the sampled median; negative means above
medianPrice, medianSampleSize	Comparison median and sample size
category, colour	Attributes from successful item enrichment
favourites, views	Engagement counts when supplied publicly
listedAt	Exact source timestamp when available; otherwise null
listingDateText	Displayed relative listing date with details enabled
country	Country site searched, separate from seller country
observedCountries	Country sites where this deduplicated listing was observed
sellerUsername	Public shop username with full details enabled
sellerRating	Public reputation expressed on a five-point scale
sellerReviewCount, sellerItemCount	Public reviews and inventory when available
sellerCountry	Public seller country code when available
description, photos	Optional description and public image URLs
detailsIncluded, detailStatus	Enrichment success and seller availability
url, scrapedAt	Listing link and observation time in UTC

Missing values stay null. A page saying an item was added a few minutes ago does not supply an exact timestamp. The scraper keeps that text separately rather than inventing a precise date. Seller enrichment excludes private profile fields, personal contact fields, addresses and biographies.

Start in three steps

1. Enter one search term and country. Keep maxItems at 20 for the first run.
2. Open the listing overview. Check that the brands, conditions and sizes suit your buying rules.
3. Export JSON, CSV or Excel, or save the input as an Apify task. Add a schedule after checking the result.

{
  "searchTerms": ["nike trainers"],
  "countries": ["fr"],
  "maxItems": 20,
  "sort": "newest_first"
}

maxItems is the combined delivery limit across all searches and countries. Sources share that limit in rotation. An item found in overlapping searches is delivered and charged once within the run.

Inputs and filters

Input	Default	Use
searchTerms	Prefilled example	Ordinary search phrases such as vintage denim
countries	fr	fr, de, gb, it, es, nl, be, pl; uk is accepted as gb
startUrls	Empty	Optional catalog, category or item links on supported sites
brands	Empty	Exact displayed brand labels or native numeric IDs
sizes	Empty	Exact displayed size labels or native numeric IDs
conditions	Empty	Exact source-language labels or native numeric IDs
priceMin, priceMax	Unset	Asking-price bounds in each site's original currency
currency	Unset	Optional comparison currency such as EUR, GBP or USD
sort	newest_first	Also lowest price, highest price or relevance
maxItems	20	Maximum unique delivered listings, from 1 to 1,000
includeDetails	False	Slower item and public seller enrichment
onlyNewSinceLastRun	False	Persistent new-listing and price-drop monitoring
watchId	default	Stable identifier for independent history
proxyConfiguration	Automatic	Optional custom Apify proxy settings

Text labels match exactly, ignoring letter case. A French condition label and an English condition label are different filters. For complex native filters, configure your search on Vinted and paste its catalog URL. Numeric filters already in that URL are retained. Sorting, pagination and explicit price bounds follow the Actor inputs.

{
  "searchTerms": ["nike"],
  "countries": ["fr"],
  "brands": ["Nike"],
  "priceMin": 10,
  "priceMax": 30,
  "maxItems": 50
}

Vinted may place promoted listings ahead of ordinary newest results. Filtering can produce fewer results than requested. An empty search is legitimate and has no listing charge. Invalid inputs produce a free note explaining what to correct.

Monitor prices every day

Save this input as an Apify task, then give that task a schedule:

{
  "searchTerms": ["vintage denim"],
  "countries": ["gb"],
  "priceMax": 40,
  "onlyNewSinceLastRun": true,
  "watchId": "denim-gb",
  "maxItems": 100
}

The first run establishes a baseline and returns up to the output limit. Later runs return newly observed listings and price drops. Unchanged listings have no listing charge. A price increase updates history, so a later decrease is compared with the most recent observed price.

History remembers the matching observation window, including items omitted by the output limit. Those older items do not become false new alerts next time. When a spending limit stops delivery, undelivered observations are not silently consumed as a new baseline. History is private to your Apify account, this Actor and your watchId.

Use one sequential schedule per watch. An atomic lock prevents overlapping runs from writing the same history. A competing run ends with a free watch-busy note. Rebooting the original run resumes its saved source snapshot and delivery ledger. After interruption, resume that run when you need the same observation window.

An alert is an output row for your automation. The Actor does not send messages or buy items. Connect successful output to your webhook, spreadsheet, Make or n8n workflow. Start with a daily schedule; choose faster checks after measuring how much new inventory your search receives. Keep your maximum run charge set before increasing frequency.

Compare countries and understand deals

{
  "searchTerms": ["nike"],
  "countries": ["fr", "de", "gb", "it", "es"],
  "currency": "EUR",
  "maxItems": 100
}

Original prices remain unchanged. Comparison conversion uses daily European Central Bank reference rates and includes the rate date where available. It is not a checkout quote. If a rate is unavailable, the converted value stays null. Price bounds apply to original site currencies, so choose them carefully across different markets.

The deal score is (sample median - asking price) / sample median * 100, rounded to a whole percent. A score of 25 means an asking price 25% below that sample median. At least five comparable sampled listings are required; exact item lookups and tiny samples can have a null score.

The comparison uses matching sampled listings from the same search, country and currency, including listings outside the small export limit. Country summaries deduplicate overlapping items. Asking-price differences do not account for authenticity, shipping, condition differences or eventual sold prices. Check the actual listing before purchasing.

Optional detail enrichment

Enable includeDetails for description, colour, category, more photos and public seller statistics. Successful item enrichment adds $0.0075 before tier discounts. A missing seller page is shown in detailStatus and the summary. Public seller usernames are shop identifiers; private profile attributes are excluded.

If an item page is unavailable, a useful catalog row can still be delivered at the base price. Unavailable enrichment is not charged. Email addresses and international telephone patterns are removed from descriptions. No account credentials or private seller records are requested.

Prices and spending limits

Delivered output	List price
20 plain listings	$0.03
100 plain listings	$0.15
1,000 plain listings	$1.50
20 listings with successful details	$0.18
100 listings with successful details	$0.90

The platform start fee is $0.00005 at default memory. Bronze receives 5% off listing and detail prices, Silver 10%, Gold 20%. Apify's Pricing tab shows your exact tier. Summaries, notes, duplicates and failed enrichments have no result charge. There is no extra tracked-search or watch-check event.

Set the maximum total charge before larger jobs. The scraper checks that a complete useful row is affordable, stops cleanly at the limit, and explains the stop in the summary. A successful final charge can consume the remaining capacity; the row is still delivered.

API examples

Load your own Apify token from the environment. Never put credentials in datasets or support messages.

import os
from apify_client import ApifyClient
client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("moggedhq/vinted-scraper-alerts").call(
    run_input={"searchTerms": ["vintage denim"], "countries": ["gb"], "maxItems": 20}
)
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row.get("recordType") == "LISTING":
        print(row["title"], row["price"], row["url"])

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('moggedhq/vinted-scraper-alerts').call({
  searchTerms: ['nike trainers'], countries: ['fr'], maxItems: 20
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const listings = items.filter(row => row.recordType === 'LISTING');

The output panel links to the overview, a free filtered DEALS record and the summary. The dataset deals view provides comparison columns for all listings. Filter recordType when processing the raw dataset: a summary or note is not a listing.

Use with AI agents (MCP)

Connect an Apify-compatible agent to https://mcp.apify.com. Ask it to use moggedhq/vinted-scraper-alerts, run a small input, and retrieve the dataset and summary. A useful request is: Find 20 Nike listings in France below EUR 30, return prices and conditions, and show below-median deals. Enable details only when you need descriptions or seller statistics.

Limits and FAQ

Does this show sold prices? No. It observes public asking prices. A disappeared listing is not labelled sold.

Are all countries supported? Eight country sites are supported. Other domains produce a note. Sellers can be from other connected countries, so site country and seller country are separate.

Is search exhaustive? No. Each source is bounded to ten public pages, with its page allowance derived from maxItems. Watches observe that bounded matching window. Use narrower native filters or a larger output limit for wider coverage.

Why are fields null? Public responses do not always expose views, exact listing dates or seller statistics. Missing information remains unknown. Relative dates are preserved without estimating an exact timestamp.

Can the same item appear twice? Once per run after deduplication. It can appear in another ordinary run. Watch mode suppresses unchanged observations and records observed price differences.

Can a run be partial? Yes. Removed pages and persistent source refusals are reported. Useful available rows remain, while unavailable details are not charged. Requests are paced and retried with fresh connections, with residential proxy used after cheaper routes fail.

Can I supply Vinted cookies? No. This is a signed-out public-data Actor. It does not solve challenges, log in or perform account actions.

What persists? Named watch history and coordination records. Ordinary runs have separate datasets. A new watch name creates new history. You can remove the named storage from your own Apify account when that history is no longer needed.