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Commit 03be8a8

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Merge pull request avinashkranjan#637 from aashishah/price-comp
Price Comparison and Checker
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# Price Comparison and Checker
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- This python script can automatically search for an item across Amazon, Flipkart and other online shopping websites and after performing comparisons, find the cheapest price available.
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## What the script does
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- User can enter the item to be searched for.
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- The script displays a table of five matches in ascending order of prices, for each website in the form of Product Name - Price.
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- It also displays the best/cheapest price that is available.
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## Setup instructions
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- Install the modules listed in Requirements.txt
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- Ensure you have Python installed in your system.
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- Simply run the program titled "price_comparison.py" or execute on Command Prompt/Terminal.
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- Next, You will be prompted to enter the item to be searched for and upon doing so, the program will list 5 products from all available websites (currently Amazon, Flipkart and Snapdeal) and give you the best price from all those available.
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## Output
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![screenshot](https://user-images.githubusercontent.com/49470807/111500289-d6344e00-8769-11eb-99ea-bf24db4e1b41.PNG)
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## Author(s)
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## [Aashi Shah](https://github.com/aashishah)
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- bs4
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- tabulate
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- requests
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import requests
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from bs4 import BeautifulSoup
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from tabulate import tabulate
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headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.141 Safari/537.36"}
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#MAIN WEBSITE SCRAPERS
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def amazon(item):
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URL = "https://www.amazon.in/s?k=" + item.replace(" ", "+")
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page = requests.get(URL, headers = headers)
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soup = BeautifulSoup(page.content, "html.parser")
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name = "Amazon"
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#For access to product links un-comment these:
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#links = []
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#for link in soup.find_all("a",{"class":"a-link-normal a-text-normal"}, limit = 5):
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#links.append(link["href"])
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products = []
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prices = []
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for sp in soup.find_all("span", {"class": ["a-size-base-plus a-color-base a-text-normal", "a-size-medium a-color-base a-text-normal"]}, limit = 5):
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products.append(sp.text)
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for p in soup.find_all("span", {"class": "a-price-whole"}, limit = 5):
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prices.append(priceToInt(p.text)) #Extracting names of product and their prices
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if products and prices:
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return cheapest(products, prices, name)
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else:
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print(name + " search failed.")
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def flipkart(item):
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URL = "https://www.flipkart.com/search?q=" + item
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page = requests.get(URL, headers = headers)
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soup = BeautifulSoup(page.content, "html.parser")
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name = "Flipkart"
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#For access to product links un-comment these:
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#links = []
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products = []
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prices = []
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for a in soup.find_all("a", {"class": "s1Q9rs"}, limit = 5):
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products.append(a.text)
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#links.append(a["href"])
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for p in soup.find_all("div", {"class": "_30jeq3"}, limit = 5):
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prices.append(priceToInt(p.text)) #Extracting names of product and their prices
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if products and prices:
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return cheapest(products, prices, name)
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else:
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print(name + " search failed.")
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def snapdeal(item):
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URL = "https://www.snapdeal.com/search?keyword=" + item.replace(" ", "+")
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page = requests.get(URL, headers = headers)
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soup = BeautifulSoup(page.content, "html.parser")
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name = "Snapdeal"
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products = []
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prices = []
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for sp in soup.find_all("p", {"class": "product-title"}, limit = 5):
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products.append(sp.text)
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for p in soup.find_all("span", {"class": "lfloat product-price"}, limit = 5):
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prices.append(priceToInt(p.text)) #Extracting names of product and their prices
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if products and prices:
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return cheapest(products, prices, name)
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else:
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print(name + " search failed.")
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#HELPER FUNCTIONS
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def cheapest(products, prices, name):
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#Prints top 5 products and returns the cheapest price
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productList = list(zip(products, prices))
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productList.sort(key=lambda x: x[1])
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print(name.upper() + " TOP 5 PRODUCTS:")
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print(tabulate(productList, headers = ["Product Name", "Price (Rs.)"]), end = "\n\n")
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return productList[0][1] #Returns only the cheapest price for each website for final comparison
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def priceToInt(price):
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#Converts the text scraped from website into integer for proper comparison
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converted_price = []
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for i in price:
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if i.isdigit():
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converted_price.append(i) #Extracting only digits
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converted_price = int("".join(converted_price)) #Converting the string price to integer for comparison
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return converted_price
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if __name__ == "__main__":
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item = input("Enter the item you would like to search for: ")
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amazonPrices = [amazon(item), "Amazon"]
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flipkartPrices = [flipkart(item), "Flipkart"]
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snapdealPrices = [snapdeal(item), "Snapdeal"]
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if amazonPrices[0] and flipkartPrices[0] and snapdealPrices[0]:
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bestPrice = min(amazonPrices, flipkartPrices, snapdealPrices)
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print("\nBest product available for your search \"{}\" is on {} at Rs.{}".format(item, bestPrice[1], bestPrice[0]))
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else:
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print("Could not get the best price.")

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