Stay ontop of the drop with www.nike.com SNKRS launch web scraper for all available countries. Scrape upcoming product details:

• audience_suggestedGender: Product suggested gender male/female/unisex.
• brand_name: Product brand name Jordan, Nike Sportswear etc.
• category: Product categories.
• color: Product color.
• description: Product description.
• image: Product image link.
• name: Product name.
• offers_url: Product url.
• offers_price: Product price in local currency.
• offers_priceCurrency: Local currency.
• offers_seller_name: Product seller.
• releaseDate: Release datetime in iso format.
• sku: Product SKU.

Note: if more additional data fields required e.g. product sizes, refer to the Support section below.

$ https://www.python.org/downloads/release/python-387/

$ git clone https://github.com/jcoleiro/indeed-job-webscraper.git

macOS

$ python3 -m venv venv

Windows

$ c:\>c:\Python35\python -m venv venv

macOS

$ source venv/bin/activate

Windows

$ source venv/Scripts/activate

$ pip install -r requirements.txt

COUNTRY: str = 'United States'

$ python scraper.py

All filed out output to the folder /data in csv and json format.

If you face any issue, you can create a new issue in the Issues Tab and I will be glad to help you out.

Alternatively, you can contact me at [email protected].

Copyright (c) 2021-present, jcoleiro, Joshua Coleiro