
Food Delivery Web and App Data Scraper enables you to scrape data from different food delivery websites and apps such as Zomato, Uber Eats, and Swiggy at affordable prices.
Our Food Delivery Web & App Extractor is helpful to get information like product data, quotations, prices, features, and more. By adding URLs, you can export required food delivery data and get on-time delivery.
Restaurant’s_Name
Address
Contact_Number
Opening_Hours
Cuisines
More_Info
Reviews
Payment_Method
Current_Promotion
Longitude_and_Latitude
What_People_Love_at_Restaurant
Menu_Items
Item_Type
Item_Price
Item_Discount_Price
Item_Description
The crawlers are 90% ready to work. With a few clicks, it becomes as easy as copying and pasting the content.
Provide restaurant names, dish keywords, or target URLs to scrape food data from Food Delivery web and apps. The crawler will extract details like address, contact number, opening hours, cuisines, reviews, menu items, item type, item price, discount price and item description.
Export scraped restaurant and food delivery data in structured formats like CSV, Excel, or JSON for analysis and reporting.
Automate scraping to run hourly for real-time menu/pricing updates, daily for review trends, or weekly for competitor benchmarking.
Many restaurant owners get their food ordering web and app prepared so that the customers can order food online easily and restaurants can deliver food to the customer’s doorstep. You can get a lot of food delivery apps accessible in the market that work like a general platform between restaurants as well as customers including Zomato, FoodPanda, Swiggy, Uber Eats, Deliveroo, Grubhub, Postmates, Just Eat, and DoorDash to name some. Scraping Intelligence offers the best food delivery web & app scraper to extract data from food delivery web and apps mentioned above.
Our Food Delivery Web & App Scraper is accurate and provides on-time data delivery to our customers. Our Food data extractor helps in scraping precise data as well as providing all the required details for a business in the required format.
Extract data can be populated in various forms such as Excel spreadsheets, CSV, MySQL, MS-Access, XML, MSSQL, Text & HTML Files
#
|
Name
|
Menu Info
|
Delivery Time
|
URL
|
Rating
|
Review Count
|
Address
|
Contact Info
|
Opening Hrs.
|
---|---|---|---|---|---|---|---|---|---|
1 |
Joe’s Stone Crab |
Seafood, American |
40 min |
https://www.joesstonecrab.com/ |
4.6 |
10,000 |
11 Washington Ave, Miami Beach, FL 33139 |
+1-305-673-0365 |
Mon–Sun: 11:30am–10:30pm |
2 |
The Smith Restaurant |
American, Brasserie, New American |
35 min |
https://thesmithrestaurant.com/ |
4.2 |
5,000 |
55 Third Ave, New York, NY 10003 |
+1-212-420-9800 |
Mon–Sun: 12:00pm–11:00pm |
3 |
Gabriel Kreuther |
French, German, Alsatian |
50 min |
https://www.gknyc.com/ |
4.7 |
2,000 |
41 W 42nd St, New York, NY 10036 |
+1-212-257-5828 |
Mon–Sun: 5:30pm–11:00pm |
[ { "#": "1", "Name": "Joe’s Stone Crab", "Menu Info": "Seafood, American", "Delivery Time": "40 min", "URL": "https://www.joesstonecrab.com/", "Rating": "4.6", "Review Count": "10,000", "Address": "11 Washington Ave, Miami Beach, FL 33139", "Contact Info": "+1-305-673-0365", "Opening Hrs.": "Mon–Sun: 11:30am–10:30pm" }, { "#": "2", "Name": "The Smith Restaurant", "Menu Info": "American, Brasserie, New American", "Delivery Time": "35 min", "URL": "https://thesmithrestaurant.com/", "Rating": "4.2", "Review Count": "5,000", "Address": "55 Third Ave, New York, NY 10003", "Contact Info": "+1-212-420-9800", "Opening Hrs.": "Mon–Sun: 12:00pm–11:00pm" }, { "#": "3", "Name": "Gabriel Kreuther", "Menu Info": "French, German, Alsatian", "Delivery Time": "50 min", "URL": "https://www.gknyc.com/", "Rating": "4.7", "Review Count": "2,000", "Address": "41 W 42nd St, New York, NY 10036", "Contact Info": "+1-212-257-5828", "Opening Hrs.": "Mon–Sun: 5:30pm–11:00pm" } ]