Scraping Food Delivery Apps: Menu Prices, Availability, ETAs

Food delivery is a $300B global market. Scraping menu data, prices, and delivery times enables price comparison tools, market research, and restaurant analytics. Here's how to build it. Architecture Food delivery platforms heavily rely on APIs for their mobile and web apps. By intercepting and replicating these API calls, we get structured JSON data instead of messy HTML. Menu and Price Scraper pip install requests pandas beautifulsoup4 import requests import pandas as pd from datetime import datetime import time import json from bs4 import BeautifulSoup class FoodDeliveryScraper : def __init__ ( self , api_key ): self . api_key = api_key self . session = requests . Session () def _proxy_request ( self , url ): proxy_url = f " http://api.scraperapi.com?api_key= { self . api_key } &url= { url } " return self . session . get ( proxy_url , timeout = 30 ) def scrape_restaurant_menu ( self , platform_url ): resp = self . _proxy_request ( platform_url ) soup = BeautifulSoup ( resp . text , "