Foodspark - Food Data & insights

  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

  The food delivery niche is projected to reach around $127 billion in 2021 end as well as the revenue gets expected to surge at $192 billion in 2025. These platforms as well as apps are having thousands of listings for food restaurants and also are used through millions of customers. Food chains, as well as restaurants, are benefiting from big data analytics to understand consumers’ preferences and tastes. Nowadays, you can use data scraping to collect data from various food data apps for adjusting prices, improve marketing strategies, and more. If you need to advance your restaurant or food delivery business, then food delivery scraping is the best solution that can help you get closer to your goals. How Food Data Scraping Can Help You? Web data scraping is the method of scraping huge amounts of information from targeted websites or apps. Due to the race in various restaurants, food aggregator apps, as well as related businesses, are increasing constantly. So, food delivery companies