Food data scraping involves extracting information from online food delivery apps like menus, prices, restaurant details, and customer reviews. This data can be used for market analysis, competitor monitoring, or creating aggregated platforms. Techniques include web scraping using tools like BeautifulSoup or Scrapy, and APIs provided by some services. Legal and ethical considerations are important, as scraping can violate terms of service or data privacy laws.