Shopping Data Scraper

Folder rev contains refactored code for the project, all will be converted to TypeScript and NodeJS

Todo

• Refactor Coles, don't use axios, web scraping IS ENOUGH
• Migrate everything to NodeJS

Get product data from Woolworths and Coles and generate a single json file for Firebase. Coles is using NodeJS. Woolworths is using Python.

At the end of the day, Python is used to collect all data and to filter duplicates.

Category List

All products must have category ID in the table below

id	name
meat-seafood-deli	Meat, Seafood & Deli
bakery	Bakery
dairy-eggs-fridge	Dairy, Eggs & Fridge
pantry	Pantry
freezer	Freezer
drinks	Drinks
pet	Pet
baby	Baby
health-beauty	Health & Beauty
household	Household
international-foods	International Foods
uncategorised	Uncategorised

Product Element

A product should have elements below:

{
  id: 'c2994130p-9327693006937',
  store: 'coles',
  name: 'Natural Balance Conditioner',
  price: 9,
  oldPrice: 18,
  categoryId: 'health-beauty',
  imagePath: 'https://shop.coles.com.au/wcsstore/Coles-CAS/images/2/9/9/2994130.jpg',
  cupPrice: '$1.80 per 100ml',
  unit: 'ea',
  packageSize: '500ml',
  barcode: [ '9327693006937' ],
  brand: 'Sukin'
}

• id is a combination of store, store stock ID and first barcode

Woolworths

• Get data from Woolworths API
• Only Python with requests

Coles

• Scrape data from https://shop.coles.com.au/a/richmond-south/specials/search/half-price-specials
• Required Puppeteer
• Need to manually copy cookie from actual web browser to cookie.txt