Vinted-data

Vinted data & search from Vinted.fr

Vinted data

Vinted data can be visualized in Google Sheets or in a Google Data Studio report . Those are actualized each day at 09:00 (GMT+2) and stored in Google sheets and in this GitHub repository in the folder DATA.

Currently the BRAND ID is the one that take the most time to collect, as I didn't found a query to get all IDs with only one requests or just a few. Currently, data collection for this identifier is done with a query for each brand (more than 2.000 brands currently).

Currently I investigate the Vinted API to find a better solution than scraping the HTML.

️️️Warning Countries have been removed from the Vinted responses therefore these are no longer supported ️️️

Vinted search

The Vinted search works perfectly and handle 7 different IDs (catalogs, colors, brands, sizes, materials, status, countries). It returns a dictionary with for the key "items" a list of items found with the Search used. This method can be found within the file collect_data.py. You can therefore use it as follow :

from collect_data import searchVinted

search = searchVinted(
 catalog=[221],
 color=["pink"],
 brand=[53])

This should built the corresponding url : https://www.vinted.fr/vetements?search_text=&per_page=120&page=1&price_from=0&price_to=1000000¤cy=EUR&catalog%5B%5D=221&color_id%5B%5D=5&brand_id%5B%5D=53

And returns the following dictionary :

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