Vinted Listings Scraper

Extract and collect Vinted marketplace listings in a fast, structured dataset. Gather product, pricing, seller, and engagement information for research, monitoring, and analysis. Built for repeatable runs with configurable filters, pagination, and result limits.

Features

• Comprehensive listing data — Collect product details, seller profile info, pricing, fees, and engagement metrics.
• Flexible search controls — Filter with keyword, category, and min/max price inputs.
• Automatic pagination — Continue collecting across pages until target result count or page limit is reached.
• Duplicate protection — Keeps dataset clean by skipping repeated listing IDs.
• Production-ready output — Returns consistent structured records for analysis pipelines and automation.

Use Cases

Price Monitoring

Track asking prices and total buyer cost across categories or keywords. Use scheduled runs to monitor market changes over time.

Resale Sourcing

Find inventory opportunities by filtering listings with keyword and price ranges. Compare brands, conditions, and seller signals before buying.

Market Intelligence

Build datasets for trend analysis by category, brand, size, and condition. Measure listing performance using favorites and view counts.

Competitive Research

Monitor seller profiles, pricing behavior, and promoted listings. Identify opportunities and pricing gaps in your target segment.

Reporting and BI

Export structured datasets for dashboards and recurring reports. Combine outputs with spreadsheet tools, databases, and workflow platforms.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	Vinted catalog or search URL to start from.
keyword	String	No	""	Search phrase to filter listings.
category	String	No	"women"	Category shortcut: women, men, kids, or home.
minPrice	Integer	No	—	Minimum price filter (USD).
maxPrice	Integer	No	—	Maximum price filter (USD).
results_wanted	Integer	No	20	Maximum number of listing records to collect.
max_pages	Integer	No	50	Safety cap for how many catalog pages to scan.
proxyConfiguration	Object	No	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}	Proxy settings for reliable data collection.

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Output Data

Each dataset item contains:

Field	Type	Description
product_id	String	Unique listing identifier.
title	String	Listing title.
brand	String	Brand name (if available).
size	String	Size label, or Not specified when unavailable.
condition	String	Item condition text.
price	String	Listing price amount.
total_price	String	Total buyer price amount.
currency	String	Currency code.
service_fee	String	Buyer service fee amount.
image_url	String	Main image URL.
image_full_url	String	Full-size image URL when available.
url	String	Direct link to listing page.
favorite_count	Number	Number of favorites.
view_count	Number	Number of views.
is_favourite	Boolean	Whether the listing is marked favorite for the current session.
is_visible	Boolean	Listing visibility status.
is_promoted	Boolean	Whether listing is promoted.
content_source	String	Source label returned by marketplace.
seller_id	String	Seller ID.
seller_username	String	Seller username/login.
seller_profile_url	String	Seller profile URL.
seller_is_business	Boolean	Business seller indicator.
search_score	Number or Null	Ranking score when provided.
matched_queries	Array	Matched query terms when available.
page	Number	Page number where listing was collected.

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Usage Examples

Basic Category Extraction

{
  "startUrl": "https://www.vinted.com/catalog/1904-women",
  "results_wanted": 50
}

Keyword + Price Filtering

{
  "keyword": "vintage dress",
  "category": "women",
  "minPrice": 15,
  "maxPrice": 90,
  "results_wanted": 120,
  "max_pages": 20
}

High-Volume Collection

{
  "startUrl": "https://www.vinted.com/catalog/5-men",
  "keyword": "nike",
  "results_wanted": 500,
  "max_pages": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "product_id": "8158648463",
  "title": "Zara Ribbed Polo Dress in Black Size S",
  "brand": "Zara",
  "size": "S / US 4-6",
  "condition": "Very good",
  "price": "6.9",
  "total_price": "7.95",
  "currency": "USD",
  "service_fee": "1.05",
  "image_url": "https://images1.vinted.net/t/.../f800/1770901384.jpeg",
  "image_full_url": "https://images1.vinted.net/tc/.../1770901384.jpeg",
  "url": "https://www.vinted.com/items/8158648463-zara-ribbed-polo-dress-in-black-size-s",
  "favorite_count": 17,
  "view_count": 0,
  "is_favourite": false,
  "is_visible": true,
  "is_promoted": false,
  "content_source": "search",
  "seller_id": "83773268",
  "seller_username": "hungryhopper",
  "seller_profile_url": "https://www.vinted.com/member/83773268-hungryhopper",
  "seller_is_business": false,
  "search_score": null,
  "matched_queries": [],
  "page": 2
}

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Tips for Best Results

Choose Good Start URLs

• Use valid Vinted catalog URLs for your target market.
• For broad collection, start from a category URL.
• For narrow collection, combine keyword with price filters.

Tune Collection Limits

• Use smaller results_wanted values first for quick validation.
• Increase max_pages for larger runs.
• Match results_wanted to your analysis needs to control run cost.

Use Proxies for Stability

• Residential proxies are recommended for keyword-heavy or high-volume runs.
• Keep default proxy settings for normal category runs.
• If results drop, retry with stronger proxy settings.

Handle Missing Fields

• Some listings do not publish all attributes.
• Expect occasional Not specified sizes or empty optional fields.
• Use multiple fields (title, brand, condition) in downstream logic.

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Integrations

Connect your dataset with:

• Google Sheets — Share and analyze listing data quickly.
• Airtable — Build searchable listing databases.
• Looker Studio / BI tools — Create dashboards for trends and pricing.
• Make — Automate collection and post-processing flows.
• Zapier — Trigger actions in connected business apps.
• Webhooks — Push results to custom systems in real time.

Export Formats

• JSON — Best for APIs and custom apps.
• CSV — Best for spreadsheet workflows.
• Excel — Best for business reporting.
• XML — Best for system interoperability.

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Frequently Asked Questions

How many listings can I collect?

You can collect as many as available, constrained by results_wanted, max_pages, and marketplace availability.

Does it handle pagination automatically?

Yes. It keeps collecting across pages until limits are reached or no more listings are available.

Why do some records have size: "Not specified"?

Some listings do not provide a size value in the marketplace data. The actor keeps these records and labels missing size clearly.

Can I run this on a schedule?

Yes. You can schedule runs in Apify and maintain fresh datasets continuously.

What if my results are lower than expected?

Increase max_pages, widen filters, and use residential proxies for more stable access.

Can I filter by price?

Yes. Use minPrice and maxPrice to limit results to your target range.

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Support

For issues, improvements, or feature requests, use the Actor’s Issues tab in Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is intended for legitimate data collection and analysis. You are responsible for complying with website terms, local laws, and data usage regulations. Collect and use data responsibly.