Vinted data scrapper

A series of data scrappers in Python that extract static information from the Vinted source code, being the perfect complement for a Vinted API wrapper.

Install & Run

Requirements

• Pip
• Python

1. Create a virtual environment

   python3 -m venv pyvenv/
   source venv/bin/activate

2. Run requirements.txt

    pip3 install -r requirements.txt

3. Run main.py

Extracted data categories

Element	Fields Returned
Brands	Names, Ids
Materials	Id, Name
Colors	Id, Color, Hex Code
Sizes	Id, Title, Size_Type, Category_id
Categories	Id, Title, Code, Parent Id, URL, URL EN, Item Count
Categories Children	Category Id, Child Id
Countries	Id, French_name, local_name, ISO_code, flag_emoji

Materials and sizes

• Available languages: 🇪🇸 🇫🇷 🇺🇸
  • [More languages can be added if html file included in data/raw/materials or data/raw/sizes]

Categories - Catalogs

• Debug mode: Builds the full decision tree

• Exec mode: Returns 2 CSVs:

  • categories.csv: Table of all the available categories and their attributes

  • categories_children.csv: Dictionary that models the Category->Children list relationship

Performance

• Without brands search:

real    0m1,941s
user    0m1,225s
sys     0m0,037s

• Brands validation process:

real    14m14,211s
user    0m19,753s
sys     0m1,229s

Authors

Álvaro Cabo

Pepe Márquez