SethiAbhinav / Ecommerce-price-compare

Compare prices of products on famous E-commerce websites: Jiomart & Amazon Fresh

Ecommerce-price-compare

Compare prices of products on famous E-commerce websites: Jiomart & Amazon Fresh. A web scraping project I had done in the last week of July, 2021.

Requirements:

Chromedriver

Python:

#IMPORTS
from selenium import webdriver
from bs4 import BeautifulSoup

import pandas as pd
import openpyxl as pxl

import keyboard
from time import sleep

Project details:

Idea:

I buy all my groceries and other neccessities from online stores and have had to spend a lot of time comparing prices accross E commerce sites to understand which site gives the best deal currently. As this was a repetitive process and thus I decided to automate it. :)

Process:

• I started by taking the input of the user's Pincode and the products he needs.
• Next, I opened a new browser using selenium and chromedriver and sent a get request to jiomart first, once Jiomart is scraped then we move ahead to Amazon Fresh.
• Once the website loads, I enter the Pincode to so that we don't end up scraping products which are unavailable in our area. ( Using keyboard library)
• Now, we enter the product in the search bar and search for it. Next, we apply all the filters we want to.
• Now, using BeautifulSoup we scrape the page, looking for particular html tags which help us in getting the products we want.
• All of this data is stored in a pandas dataframe.
• Finally, this dataframe is converted to a xlsx file and stored on the system.

Challenges:

• A lot of products on the websites were marked incorrectly by the algorithm they use, and thus I had to perform quite some text pre-processing so as to get reasonable results.
• The websites seem to have random webpage load times and thus, I could not optimize the process and decided to go ahead with hardcoded delays in most places.

Output (as of 27th September, 2021):

After project thoughts:

• The 2 websites are very different and have taught me a lot and have made me more confident in my scraping skills.
• The code has a lot of delay(hardcoded) so as to ensure it runs smoothly and encounters no errors, but this also makes it slow. I wish to further improve the performance once I learn more about it.
• I use this product often and it really saves me a lot of time. So, I am happy I did this project! :D