๐ Vinted Data Scraper: Flexible & Powerful! ๐ฅ ๐ Categories & Search: Crawl product listings effortlessly ๐ค User Profiles: Extract all items listed by any user ๐ท๏ธ Gather detailed product information ๐ Global Support: Access Vinted data from any supported country
Effortlessly scrape and extract product and user profile data from Vinted across all supported countries! ๐โจ
This scraper is designed to provide comprehensive and customizable data extraction from Vinted. Whether you're researching market trends, monitoring product listings, or analyzing user profiles, this tool has you covered.
Scrape Vinted across any country or language seamlessly for your global research needs.
Configure page limits, keywords, and crawl modes to target exactly what you need with minimal effort.
This scraper requires the use of Residential Proxies or Custom Proxies. Datacenter Proxies are not supported, as Vinted uses Cloudflare, which blocks these proxies.
Extract all products listed under a specific category, complete with pagination support.
Provide keywords to pull search results tailored to your specific needs.
Retrieve detailed information like product descriptions, brand names, and other specifics.
Scrape all items listed by a specific user on their profile pageโperfect for analyzing sellers or tracking competitors.
Provide one or multiple start URLs, such as:
https://www.vinted.com/catalog/1264-hand-care
)https://www.vinted.com/member/username
)https://www.vinted.com/items/123456789
)Set the maximum number of pages to scrape per category or search result (60 items per page). Defaults to 1, or set to 0
to scrape all available pages.
Select the Vinted marketplace country:
Specify the desired language for the scraped data:
Provide a list of keywords (e.g., ["dress", "shoes"]
) to scrape products matching specific queries.
Use Residential Proxies or Custom Proxies to ensure successful scraping. By default, the scraper is preconfigured to use the Apify Residential Proxy service, which works seamlessly with Vinted.
1{ 2 "id": 123456789, 3 "title": "Xbox one: fifa 15", 4 "price": "15.0", 5 "currency": "USD", 6 "brand": "Xbox", 7 "url": "https://www.vinted.com/items/123456789", 8 "fav_count": 1, 9 "status": "Very good", 10 "images": "https://images1.vinted.net/tc/image.jpeg", 11 "user_id": 938746173, 12 "user_name": "buyfromcarlos", 13 "user_profile": "https://www.vinted.com/member/938746173", 14 "user_photo": "https://images1.vinted.net/tc/user_photo.jpeg", 15 "position": 74 16}
When scraping PDP (Product Detail Page) links you get more fields like
images
, size
and description
1{ 2 "id": 123456789, 3 "title": "Nike Shorts", 4 "price": "6.0", 5 "currency": "USD", 6 "brand": "Nike", 7 "size": "M", 8 "url": "https://www.vinted.com/items/123456789-slug", 9 "fav_count": 5, 10 "status": "Very good", 11 "images": [ 12 "https://images1.vinted.net/tc/image1.jpeg", 13 "https://images1.vinted.net/tc/image2.jpeg", 14 "https://images1.vinted.net/tc/image3.jpeg", 15 "https://images1.vinted.net/tc/image4.jpeg", 16 "https://images1.vinted.net/tc/image5.jpeg", 17 "https://images1.vinted.net/tc/image6.jpeg" 18 ], 19 "user_id": 53425435263, 20 "user_name": "username", 21 "user_profile": "https://www.vinted.com/member/53425435263", 22 "user_photo": "https://images1.vinted.net/tc/user_photo.jpeg", 23 "description": "Blue
Medium
Great Condition
#good #brand #new", 24 "views": 1919 25}
Set Up Inputs:
Provide start URLs, keywords, page limits, and crawl modes.
Configure Proxies:
Use Residential Proxies or Custom Proxies for successful scraping. Datacenter proxies will be blocked by Cloudflare.
Run the Scraper:
Execute the scraper on Apify. It will navigate through the specified links or search queries, respecting the selected mode.
Retrieve Data:
Access your structured JSON output, ready for further analysis or integration.
Have questions or need assistance? Reach out via the Apify platform.
We welcome feature requests and bug reports to improve this scraper. Happy Scraping! ๐
Let me know if youโd like further adjustments!
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool โ just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. Youโll be guided to input a search term and get structured results. No setup needed!