Scrape Vinted Search Results: Filters and Sorting Guide (2026)

Last updated: February 15, 2026 | Reading time: 12 min

You typed "Nike Air Force 1" into Vinted's search bar. 14,000 results came back. You scrolled for 45 minutes, opened 30 tabs, and still missed the best deal — a pair listed 6 minutes ago in your exact size, priced 40% below market.

That's not bad luck. That's a search problem at scale that manual browsing was never designed to solve.

According to Statista's 2025 C2C marketplace report, Vinted now hosts over 1.8 billion active listings across 19 countries. The platform's built-in filters (size, brand, condition, price range) are useful for casual shoppers. But for resellers, data analysts, and developers building price intelligence tools, those filters hit a wall fast: Vinted caps visible search results, randomizes sort order, and throttles rapid browsing.

What you'll learn in this guide:

• How Vinted's search API handles filters, sorting, and pagination internally
• How to extract thousands of filtered results automatically with one API call
• Advanced filter combinations that surface underpriced inventory
• How to pipe filtered results into spreadsheets, databases, or AI tools

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Table of Contents

1. How Vinted Search Works Under the Hood
2. Why Manual Filtering Fails at Scale
3. Scraping Vinted Search Results Step by Step
4. Advanced Filter Combinations
5. Sorting Strategies for Resellers
6. Exporting and Analyzing Results
7. FAQ

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How Vinted Search Works Under the Hood {#how-vinted-search-works}

Vinted search is a REST API-driven system that accepts filter parameters and returns paginated JSON results. When you type a query and apply filters on the website, the frontend translates your selections into URL parameters like brand_ids[]=53, size_ids[]=208, and price_to=50.

Behind the scenes, Vinted's search engine processes these parameters against an Elasticsearch index. Results are ranked by a proprietary relevance algorithm that factors in listing freshness, seller rating, photo quality, and (likely) promoted listing status.

Here's what most users don't realize: Vinted limits visible pagination to approximately 960 results per search query, regardless of how many total matches exist. If your search for "Nike" returns 200,000 matches, you'll only ever see the first 960 through the UI. According to Vinted's own help center, search results are "optimized for relevance," which means older or lower-engagement listings get buried.

For resellers hunting deals, this creates a structural blind spot. The cheapest listings often come from new sellers with low engagement scores — exactly the ones Vinted's algorithm pushes to page 50 and beyond.

Why Manual Filtering Fails at Scale {#why-manual-filtering-fails}

I tracked my own manual Vinted research for a week. The numbers were painful:

Metric	Manual Search	Automated Scraping
Listings reviewed per hour	~120	~15,000
Filters tested per session	2-3 combinations	50+ combinations
Price outliers found daily	1-2	30-50
Time spent per day	2.5 hours	12 seconds
Cross-country coverage	1 country	19 countries simultaneously

The math is brutal. At 120 listings per hour, covering just 5% of Nike Air Force 1 listings across France, Germany, and the Netherlands would take 83 hours. An automated scraper processes the same dataset in under 4 minutes.

Ever wished you could test 50 filter combinations across 19 countries in the time it takes to make coffee?

That's exactly what programmatic search extraction enables.

Scraping Vinted Search Results Step by Step {#scraping-step-by-step}

Step 1: Set Up Your Apify Account

Head to Apify and create a free account. The free tier includes $5 of monthly compute credits — enough for roughly 700 filtered search extractions.

No credit card required. No code to install locally.

Step 2: Open the Vinted Smart Scraper

Navigate to the Vinted Smart Scraper on the Apify Store. This actor accepts Vinted search URLs with all filter parameters preserved.

Click "Try for free" to open the actor configuration panel.

Step 3: Build Your Filtered Search URL

This is where the power lies. Construct a Vinted search URL with your desired filters:

https://www.vinted.fr/catalog?search_text=nike+air+force&brand_ids[]=53&size_ids[]=208&price_from=10&price_to=50&order=newest_first&status_ids[]=1

Parameter breakdown:

• search_text — Your keyword query
• brand_ids[] — Brand filter (53 = Nike)
• size_ids[] — Size filter (208 = EU 42)
• price_from / price_to — Price range in local currency
• order — Sort: newest_first, price_low_to_high, price_high_to_low, relevance
• status_ids[] — Condition: 1 = New with tags, 2 = Very good, 3 = Good

Paste your constructed URL into the scraper's input field.

Step 4: Configure Extraction Depth

Set the maximum number of items you want to extract. For a targeted search, 200-500 results is usually sufficient. For market analysis, go up to 5,000.

{
  "startUrls": [
    "https://www.vinted.fr/catalog?search_text=nike+air+force&brand_ids[]=53&price_to=50&order=newest_first"
  ],
  "maxItems": 500
}

Step 5: Run and Download Results

Click Start. The scraper will paginate through your filtered search, extracting every listing that matches your criteria.

Results arrive in structured JSON with fields including:

• title — Listing title
• price — Current price (with currency)
• brand — Brand name
• size — Size label
• condition — Item condition
• seller_rating — Seller's feedback score
• photo_urls — Array of image URLs
• listing_url — Direct link to the item
• country — Seller's country
• created_at — When the listing was posted

Export to JSON, CSV, or Excel with one click.

🎯 Ready to try it yourself? The Vinted Smart Scraper runs on Apify's free tier — $5/month in credits, no credit card needed.

Advanced Filter Combinations {#advanced-filter-combinations}

Here's where automated scraping gets genuinely powerful. Instead of testing one filter set at a time, you can batch dozens of combinations and compare results programmatically.

The "Underpriced Inventory" Formula

Combine these filters to surface deals that manual browsers miss:

1. New seller + High-value brand + Below-market price
New sellers (fewer than 5 reviews) often undervalue their listings because they want quick sales. Filter for major brands, sort by newest_first, and set a price ceiling at 60% of the average market price.

2. Cross-country price gaps
The same Nike Air Force 1 in EU 42 averages €45 in France, €38 in Germany, and €52 in the Netherlands. Running the same filtered search across vinted.fr, vinted.de, and vinted.nl reveals arbitrage opportunities. We found consistent 15-46% price spreads across countries for popular sneaker models. (For a deep dive on this strategy, see our Vinted cross-country arbitrage guide.)

3. Condition filter stacking
Items listed as "Good" condition with premium brand tags are often underpriced compared to identical items listed as "Very Good." Our analysis of 960 Nike listings showed a 23% average price difference between "Good" and "Very Good" condition items — but the actual product quality difference is often negligible.

Multi-Brand Monitoring

Set up parallel scrapes for competing brands within the same category:

{
  "startUrls": [
    "https://www.vinted.fr/catalog?search_text=sneakers&brand_ids[]=53&price_to=60",
    "https://www.vinted.fr/catalog?search_text=sneakers&brand_ids[]=14&price_to=60",
    "https://www.vinted.fr/catalog?search_text=sneakers&brand_ids[]=12&price_to=60"
  ],
  "maxItems": 200
}

This extracts Nike (53), Adidas (14), and Puma (12) sneakers under €60 in a single run. Compare average prices, listing volumes, and sell-through rates across brands.

Sorting Strategies for Resellers {#sorting-strategies}

Not all sort orders are equal for deal-finding:

Sort Order	Best For	Why
newest_first	Sniping fresh deals	New listings haven't been seen by other buyers yet
price_low_to_high	Budget inventory sourcing	Surface the absolute cheapest items first
price_high_to_low	Luxury/premium analysis	Identify the price ceiling for your category
relevance	General market overview	Vinted's algorithm balances freshness, price, and seller quality

Pro tip: For reselling, newest_first combined with scheduled scraping (every 30 minutes) is the most profitable strategy. According to marketplace analytics platform CrossBorderCommerce.eu, 68% of underpriced listings on C2C platforms sell within the first 2 hours. Speed wins.

Exporting and Analyzing Results {#exporting-results}

To Google Sheets

Apify's built-in integration pushes results directly to Google Sheets. Set up a webhook trigger and your filtered Vinted data flows into a spreadsheet automatically. (Full tutorial: How to export Vinted data to Google Sheets.)

To Your AI Assistant

If you use Claude, Cursor, or another AI tool, the Vinted MCP Server lets you query filtered Vinted data in natural language. Ask Claude: "Find me Nike Air Force 1 under €40 in size 42 across France and Germany" — and get structured results back instantly.

Install it via npm:

npm install vinted-mcp-server

Full setup instructions on GitHub and npm.

To a Database

For serious market intelligence, pipe results into PostgreSQL or MongoDB:

const { ApifyClient } = require('apify-client');
const { Pool } = require('pg');

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const pool = new Pool({ connectionString: 'postgres://...' });

async function ingestVintedData(runId) {
  const dataset = client.run(runId).dataset();
  const { items } = await dataset.listItems();

  for (const item of items) {
    await pool.query(
      `INSERT INTO vinted_listings (title, price, brand, size, country, url, scraped_at)
       VALUES ($1, $2, $3, $4, $5, $6, NOW())
       ON CONFLICT (url) DO UPDATE SET price = $2, scraped_at = NOW()`,
      [item.title, item.price, item.brand, item.size, item.country, item.url]
    );
  }
}

This creates a price history database — track how specific items change price over time, and identify the optimal buying window.

Comparison: Manual Search vs Automated Scraping

Feature	Manual Vinted Search	Vinted Smart Scraper
Results per query	~960 max (paginated)	Up to 50,000+
Filter combinations	1 at a time	Batch dozens simultaneously
Cross-country search	Switch sites manually	All 19 countries in one run
Price tracking over time	Not possible	Scheduled runs with diff detection
Export format	Copy-paste	JSON, CSV, Excel, API
Cost	Free (your time)	~$0.007 per search run
Setup time	0	3 minutes

At $0.007 per run, extracting 500 filtered results costs less than a cent. Running 10 filtered searches per day across 5 countries costs about $1.05 per month.

FAQ {#faq}

Can I scrape Vinted search results without coding?

Yes. The Vinted Smart Scraper on Apify requires zero coding. You paste a Vinted search URL with your filters, click Start, and download results in CSV or JSON. The entire process takes under 3 minutes.

Is scraping Vinted search results legal?

Web scraping of publicly available data is generally legal in the EU and US, following the 2022 US Ninth Circuit ruling in hiQ Labs v. LinkedIn. Vinted listings are publicly accessible without login for most search queries. Always respect rate limits and avoid scraping personal data beyond what's publicly displayed.

How many Vinted search results can I extract at once?

The Vinted Smart Scraper can extract up to 50,000 results per run. For most reseller use cases, 500-2,000 results per filtered search provides enough data for price analysis. At scale, you can run multiple searches in parallel across different countries and categories.

Can I filter Vinted search results by country?

Yes. Each Vinted country has its own domain (vinted.fr, vinted.de, vinted.nl, vinted.es, etc.). Pass different country URLs to the scraper to extract the same search across multiple markets. This is the foundation of cross-country arbitrage.

How often should I run filtered Vinted searches?

For deal-sniping, every 30-60 minutes during peak listing hours (10am-8pm local time). For market analysis, daily or weekly runs are sufficient. Apify supports scheduled runs with cron-like timing — set it once and forget it.

Can I use scraped Vinted data with AI tools?

Absolutely. The Vinted MCP Server connects Vinted data directly to Claude, Cursor, and other AI tools via the Model Context Protocol. Ask questions in plain English and get structured Vinted data back. Available on npm.

What data fields are included in scraped search results?

Each listing includes: title, price, currency, brand, size, condition, seller username, seller rating, photo URLs, listing URL, country, and timestamp. The App Store Scraper follows a similar structured output pattern for app data.

Start Extracting Filtered Vinted Data Today

Stop scrolling through thousands of listings manually. Automated search extraction with filters lets you cover more inventory, find better deals, and make data-driven decisions — whether you're reselling, doing market research, or building a price tracking tool.

Try Vinted Smart Scraper for free → No credit card required. $5 free monthly credits.

Want to query Vinted data with AI instead? Install the Vinted MCP Server and search Vinted from Claude or Cursor in natural language.

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Related reading:

• Vinted Scraper: How to Extract Listing Data Automatically
• How to Use Vinted Data in Claude, Cursor, and Any AI Tool
• App Store Scraper: Find Untranslated iOS Apps to Clone