How to scrape restaurant menus and prices from online food delivery platforms?

Deisy Swarna · 2024-12-18T09:35:14+00:00

Scraping restaurant menus and prices from online food delivery platforms requires handling structured but often dynamically loaded data. Menus are typically displayed in a hierarchical format, with categories like appetizers, mains, and desserts. Using BeautifulSoup, you can extract this data for static pages, while Puppeteer or Selenium is needed for JavaScript-rendered content. Monitoring network traffic might also reveal APIs that return menu data in JSON format, simplifying the scraping process.Here’s an example using BeautifulSoup for static menu scraping:import requests from bs4 import BeautifulSoupurl "https://example.com/restaurant-menu"headers {"User-Agent": "Mozilla/5.0"}response requests.get(url, headersheaders)if response.status_code 200: soup BeautifulSoup(response.content, "html.parser") items soup.find_all("div", class_"menu-item") for item in items: name item.find("span", class_"item-name").text.strip() price item.find("span", class_"item-price").text.strip() print(f"Dish: {name}, Price: {price}")else: print("Failed to fetch the menu.")Dynamic pages often require scrolling or interaction to load additional items, which can be automated with Puppeteer. Handling anti-scraping measures like CAPTCHAs is crucial when dealing with large-scale scraping. How do you ensure the scraper adapts to frequent platform updates?

General Web Scraping

How to scrape restaurant menus and prices from online food delivery platforms?

Posted by Deisy Swarna on 12/18/2024 at 9:35 am
Scraping restaurant menus and prices from online food delivery platforms requires handling structured but often dynamically loaded data. Menus are typically displayed in a hierarchical format, with categories like appetizers, mains, and desserts. Using BeautifulSoup, you can extract this data for static pages, while Puppeteer or Selenium is needed for JavaScript-rendered content. Monitoring network traffic might also reveal APIs that return menu data in JSON format, simplifying the scraping process.
Here’s an example using BeautifulSoup for static menu scraping:
```
import requests
from bs4 import BeautifulSoup
url = "https://example.com/restaurant-menu"
headers = {"User-Agent": "Mozilla/5.0"}
response = requests.get(url, headers=headers)
if response.status_code == 200:
    soup = BeautifulSoup(response.content, "html.parser")
    items = soup.find_all("div", class_="menu-item")
    for item in items:
        name = item.find("span", class_="item-name").text.strip()
        price = item.find("span", class_="item-price").text.strip()
        print(f"Dish: {name}, Price: {price}")
else:
    print("Failed to fetch the menu.")
```
Dynamic pages often require scrolling or interaction to load additional items, which can be automated with Puppeteer. Handling anti-scraping measures like CAPTCHAs is crucial when dealing with large-scale scraping. How do you ensure the scraper adapts to frequent platform updates?
Deisy Swarna replied 4 days, 10 hours ago 1 Member · 0 Replies
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