Food Data Scrape

  Driving Restaurant Growth with Food Menu Data Scraping from Multi-Platform In a recent project, we assisted a national restaurant chain that wanted to evaluate competing food and the pricing offered across the primary delivery services. Our team provided a customized Food Menu Data Scraping from Multi-Platform solution that delivered real-time structured data from DoorDash, Uber Eats, and Grubhub. Over the course of 14 days, we scraped thousands of listings daily. We captured item names, descriptions, add-ons for each item, pricing, customer ratings, and availability across regions using our service. After augmenting the extracted and scraped dataset using categorization models, we provided the client with a single dataset that included all listings, as well as additional tagging for cuisine, dietary labels, and popularity indicators. The insights were facilitated by internal dashboards that allowed the client to sense competitive changes and influence menu planning. The claimed ...