The fastest way to export filtered Vinted listings

If you've ever tried building an arbitrage bot, tracking competitor pricing, or curating a dataset of second-hand fashion, you've hit the same wall: how do you get Vinted data out quickly without getting blocked?

Vinted has notoriously strict rate limits and bot-protection measures (Cloudflare, Datadome). Trying to write a Python script with BeautifulSoup or even Selenium usually ends up with a blocked IP or endless captchas.

But there's a workaround that requires zero proxy management or infrastructure. Let's see how to export any filtered Vinted search into a clean dataset (CSV/JSON/Excel) in three simple steps.

Step 1: Set Your Exact Filters

The beauty of Vinted is its robust filtering system. Before writing any code, go to Vinted in your browser and dial in exactly what you want.

Let's say you're looking for:

• Brand: Carhartt
• Category: Men's Jackets
• Condition: New with tags
• Price: Under 60€

Once you apply these filters, the URL in your browser is all you need. It looks something like this:
https://www.vinted.com/vetements?search_text=carhartt&status[]=1&price_to=60

Step 2: Use the Vinted Turbo Scrapper

Instead of building a scraper from scratch, we're going to use a managed Apify actor called Vinted Turbo Scrapper. It handles all the anti-bot bypasses and IP rotation automatically.

You don't even need to code this part if you don't want to.

1. Go to the Vinted Turbo Scrapper on Apify.
2. Click Start.
3. Under Input, paste your filtered URL into the "Start URLs" field.
4. Set the maximum number of items you want to extract.
5. Hit Run.

Step 3: Export Your Data

Within seconds, the actor will navigate the pages, extract the listings, and compile them into a structured dataset.

Once the run is complete, head to the Dataset tab. You'll have the option to export your clean data in multiple formats:

• JSON (Perfect for piping into your own app or database)
• CSV / Excel (Great for data analysts or manual review)
• XML

What data do you get?

You get everything you need for analysis or reselling:

• Exact item title and brand
• Listing URL
• Price and Currency (including the total price with buyer protection)
• High-res Image URLs
• Upload time
• Seller information (rating, last active)

Automating the Export (Python)

If you're building an automated pipeline, you can trigger this export programmatically using the Apify API.

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("YOUR_APIFY_TOKEN")

# Set the URL you want to scrape
run_input = {
    "startUrls": [
        {"url": "https://www.vinted.com/vetements?search_text=carhartt&status[]=1&price_to=60"}
    ],
    "maxItems": 500
}

# Run the Scraper
print("Scraping in progress...")
run = client.actor("IV3WPdQlMFG1cwXuK").call(run_input=run_input)

# Get the dataset ID
dataset_id = run["defaultDatasetId"]

# Export the data (example: fetch all items as a list of dicts)
dataset_items = client.dataset(dataset_id).list_items().items
print(f"Extracted {len(dataset_items)} listings.")

# From here, you can save to CSV using pandas or insert to your database

Stop fighting Captchas

Building scrapers is fun, but maintaining them when sites change their layout or upgrade their security is a nightmare. By using the Vinted Turbo Scrapper, you offload the headache of bypasses and proxies.

Whether you're building a Vinted alert bot, analyzing fashion trends, or reselling, this is the most reliable way to get your data quickly.

Check out the tool here: Vinted Turbo Scrapper