nifty.codes · Tools
5 items
Vinted Scraper: Collect product details, pricing, seller profiles & feedback data. Export to CSV, JSON, XLSX instantly. Scrape and monitor secondhand fashion marketplace data with this powerful browser extension. This tool extracts listings, seller profiles, and reviews directly from Vinted pages, processing everything locally in your browser. Built-in monitoring features let you track changes to any page and receive alerts when conditions you define are met. Key Features ✓ Monitor any Vinted page for changes with configurable conditions and instant alerts ✓ All data processing happens locally in your browser for maximum privacy ✓ Export to CSV, Excel (XLSX), JSON, HTML Table, and Raw JSON formats ✓ Automatic pagination to collect data across multiple pages seamlessly ✓ Batch process multiple URLs in a single session ✓ Customizable field selection to export only the data you need ✓ Support for all Vinted regional domains What Data You Can Extract Products in a List: Title, price, brand, size, status, URL, photos, favorites count, seller ID, seller username, promotion status, and creation date. Product Details: Full description, category, color, material, view count, upload date, shipping prices, item availability, seller rating, and feedback count. Seller Details: Username, location, item counts, rating, positive/neutral/negative feedback, follower and following counts, verification status, holiday mode, and bundle discount info. Seller Reviews: Item title, reviewer username, rating, feedback text, feedback date, seller comments, and profile links. Monitoring & Alerts Page Watcher lets you track changes on any Vinted page automatically. Set specific conditions on fields you care about, such as price drops or new listings, and receive instant notifications via webhook or ntfy.sh when those conditions are met. Batch Processing Batch URL Opener allows you to queue multiple Vinted URLs and process them all at once. Add URLs manually or auto-collect them from search result pages, then batch-scrape and export everything in a single operation. Export Formats - CSV - Excel (XLSX) - JSON - HTML Table - Raw JSON Perfect For This tool is ideal for resellers tracking inventory and pricing trends, researchers analyzing secondhand fashion markets, and anyone who needs to archive or compare Vinted listing data across regions. Supported Regions The extension supports Vinted domains across all available regions, including the US, UK, France, Germany, Italy, Spain, Netherlands, Poland, and many more European markets. Privacy & Security All scraping and data exports are processed locally in your browser. No scraped data is sent to external servers. General usage metrics are collected to help improve the extension. Usage Notice This extension provides tools for extracting publicly available data. Users are responsible for ensuring their use complies with applicable terms of service and local regulations. The developer provides the tool and is not liable for how it is used. Technical Support For assistance or questions, contact hello@nifty.codes. Trademark Vinted is a registered trademark of Vinted UAB. This extension is an independent tool and is not affiliated with, endorsed by, authorized, maintained, or sponsored by Vinted UAB.
Jul 28, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.