How to Scrape Zomato Listings Using BeautifulSoup and Python?
Amongst the biggest apps of Web Scraping is within scraping restaurants listings from different websites. It might be to create aggregators, monitor prices, or offer superior UX on the top of available hotel booking sites. We will see how a simple script can do that. We will utilize BeautifulSoup for scraping information as well as retrieve hotels data on Zomato. To begin with, the given code is boilerplate and we require to get Zomato search result pages and set BeautifulSoup for helping us utilize CSS selectors for asking the pages for important data. # -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'} url = 'https://www.zomato.com/ncr/restaurants/pizza' response=requests.get(url,headers=headers) soup=BeautifulSoup(response.content,'lxml') #print(soup.select('[data-lid]')) for item