McDonald’s API

Foodspark’s McDonald’s API enables businesses to collect structured restaurant data, including menu items, pricing, availability, ratings, and reviews. It supports food delivery platforms, market researchers, and restaurant analytics teams in understanding customer behavior, pricing strategies, and regional performance trends across McDonald’s outlets.



[
    {
        "ID": "0",
        "Name": "Glovo Store 1",
        "URL": "https://www.glovo.com/store-1",
        "Timing": "Open 24 Hours",
        "Address": "123 Main St",
        "City": "City Name",
        "State": "State Name",
        "Phone_Number": "(123) 456-7890",
        "Offer": "Free delivery on orders over $50",
        "Ratings": "4.5"
    },
    {
        "ID": "1",
        "Name": "Glovo Store 2",
        "URL": "https://www.glovo.com/store-2",
        "Timing": "Open Until 9:00 PM",
        "Address": "456 Elm St",
        "City": "City Name",
        "State": "State Name",
        "Phone_Number": "(123) 789-1234",
        "Offer": "Buy 1 Get 1 Free on select items",
        "Ratings": "4.2"
    },
    {
        "ID": "2",
        "Name": "Glovo Store 3",
        "URL": "https://www.glovo.com/store-3",
        "Timing": "Open 24 Hours",
        "Address": "789 Oak St",
        "City": "City Name",
        "State": "State Name",
        "Phone_Number": "(123) 567-8901",
        "Offer": "10% off on all orders for new customers",
        "Ratings": "4.8"
    }
    // Add more Glovo stores as needed
]

Benefits of Using McDonald’s API

McDonald’s API delivers fast, accurate restaurant data to enhance analytics and competitor insights.

  • Access detailed restaurant and review data
  • Monitor real-time ratings and customer feedback
  • Monitor location-based business performance
  • Track competitor insights with structured datasets
  • Integrate real-time Yelp data into applications
  • Support data-driven strategies for growth and marketing

Key Data Extracted Using McDonald’s API

Business Name
Location Details
Ratings & Reviews
Category
Contact Details
Operating Hours

Use Cases of McDonald’s API

McDonald’s API can be used for analyzing menu trends, comparing pricing strategies, and evaluating customer feedback to support business decision-making.

Restaurant Analytics

Leverage McDonald’s menu and rating data to understand customer preferences and menu performance.

Competitor Monitoring

Track competitors’ strategies, ratings, menus, and pricing strategies to create competitive-edge and stay updated with market trends and identify opportunities for growth.

Customer Sentiment Analysis

Extract and analyze reviews to identify satisfaction trends and improvement opportunities.

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I used FoodSpark’s Zomato Scraping API for menu and pricing analysis — smooth integration and reliable data every time.
Sophia Caldwell
St. Louis, USA
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“We were searching for a web scraping partner for our restaurant data scraping requirements. We have chosen Foodspark and it was an amazing experience to work with them. They are complete professionals in their attitude towards data scraping. We would certainly recommend them to others for their food data scraping requirements.”

Kelly Brown
Chicago, USA
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“Working with Foodspark was a completely exceptional experience for me. Foodspark team is professional, calm, and works well with all my food data scraping requirements. 5 Stars to them for their web data scraping work.

James Williams
Austin, USA
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“We had a great time working with Foodspark for our restaurant food data scraping requirements that no other service providers would able to cope with competently. Foodspark is just amazing! They have done their work wonderfully well! Thank You Foodspark!”

Daniel James
Philadelphia, USA
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“We were searching for a food data scraping service provider and we have found Foodspark! It was a great experience working with this professional company. They are absolutely professionals in their method of doing web scraping. You can surely hire them for all your food data scraping service requirements.”

Sarah Brown
St. Louis, USA
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“We are a food aggregator app and we were searching for a food data aggregator app data scraping service provider that can satisfy our requirements of extracting food data from our competitor’s app. Team Foodspark has worked extremely hard as the task was very difficult. They have provided great results and we have become their permanent client!”

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Dallas, USA
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“We are very much impressed with Foodspark for their Food Data Scraping Services. Our requirements were quite unusual and hard to implement but they were equally good to the job and they have worked very hard to offer us the finest results. Thumps Up to Foodspark!”

Jason Scott
Phoenix, USA
Have More Any Questions?

Want to explore how McDonald’s API can enhance your restaurant data insights? Contact Foodspark for more details.

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Yelp API

Frequently Asked Questions

McDonald’s API allows extraction of restaurant and menu data from McDonald’s listings for analytics and insights.

You can extract menu items, pricing, ratings, reviews, and availability details.

Yes, the food data scraping api services deliver real-time restaurant data including ratings, reviews, hours, and location details for accurate decision-making.

You can extract business names, addresses, contact details, cuisine types, ratings, reviews, and operating hours for any listed restaurant.

It helps track menu trends, pricing changes, and customer sentiment for competitive advantage.

Yes, the API can easily integrate with analytics and reporting platforms for data visualization.

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