How to Scrape Vinted Listings in Node.js

This example shows how to scrape Vinted listings in Node.js using the Vinted Listings Scraper actor on Apify. No browser automation or reverse-engineering required — just call the actor via the Apify API client and get structured data back.

What this example does

• Calls the Vinted Listings Scraper actor with a search query and item limit
• Passes proxy configuration to reliably access Vinted
• Waits for the actor run to complete
• Fetches the results from the Apify dataset
• Prints each listing to the console

Prerequisites

• Node.js v18 or higher
• An Apify account
• An Apify API token (found in Settings → Integrations)

Installation

npm install

Environment setup

Copy .env.example to .env and add your Apify API token:

cp .env.example .env

Then edit .env:

APIFY_TOKEN=your_apify_token_here

Usage

npm start

Code example

import { ApifyClient } from 'apify-client';
import 'dotenv/config';

// Initialize the ApifyClient with your Apify API token
// Set APIFY_TOKEN in your .env file (copy .env.example to get started)
const client = new ApifyClient({
    token: process.env.APIFY_TOKEN,
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "nike air max"
    ],
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("piotrv1001/vinted-listings-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Example output

See sample-output.json for a full example. Each listing includes:

Field	Description
id	Vinted item ID
title	Listing title
url	Direct link to the listing
price	Listed price
currency	Currency code (e.g. GBP, EUR)
serviceFee	Buyer protection fee
totalPrice	Price including service fee
brandName	Item brand
size	Size label
condition	Item condition (e.g. Very good, Good)
isPromoted	Whether the listing is promoted
favouriteCount	Number of times favourited
viewCount	Number of views
photos	Array of photo URLs (standard + full size)
seller	Seller ID, username, and profile URL
sellerDetails	Reputation, feedback counts, location, bio
scrapedAt	ISO timestamp of when the item was scraped
domain	Vinted domain the item was found on

Use cases

• Price tracking — monitor secondhand prices for specific brands or models over time
• Market research — analyse supply and demand trends for fashion categories on Vinted
• Reseller tools — find underpriced listings to flag for resale opportunities
• Seller analysis — evaluate seller reputation and inventory before purchasing
• Academic research — study secondhand fashion markets and circular economy behaviour

Try the actor on Apify

Open the Vinted Listings Scraper on Apify

Related resources

• How to Scrape Vinted Listings — Full Guide
• Apify JavaScript client docs

License

MIT