The Global McDonald’s Finder API is designed to provide insights into the international presence of McDonald’s restaurants. It processes data on countries and territories that host at least one McDonald’s location, offering users valuable information on its global footprint.
[{"countries":["United States","Canada","Puerto Rico","United States Virgin Islands","Costa Rica","Australia","Guam","Japan","Netherlands","Panama","Germany","France","El Salvador","Sweden","Guatemala","Cura\u00e7ao","United Kingdom","Hong Kong","Bahamas","New Zealand","Switzerland","Ireland","Austria","Belgium","Brazil","Singapore","Spain","Denmark","Philippines","Malaysia","Norway","Taiwan","Andorra","Finland","Thailand","Italy","Aruba","Luxembourg","Venezuela","Mexico","Cuba","Turkey","Argentina","Macau","Serbia","South Korea","Hungary","China","Chile","Indonesia","Portugal","Greece","Uruguay","Martinique","Czech Republic","Guadeloupe","Poland","Monaco","Brunei","Morocco","Northern Mariana Islands","Israel","Slovenia","Saudi Arabia","Kuwait","New Caledonia","Oman","Egypt","Bulgaria","Bahrain","Latvia","United Arab Emirates","Estonia","Romania","Malta","Colombia","Slovakia","South Africa","Qatar","Honduras","Sint Maarten","Croatia","Samoa","Fiji","Liechtenstein","Lithuania","India","Peru","Jordan","Paraguay","Dominican Republic","French Polynesia","Trinidad and Tobago","Ukraine","Cyprus","Jersey","Ecuador","R\u00e9union","Isle of Man","Suriname","Moldova","Nicaragua","Lebanon","Pakistan","Georgia","Gibraltar","Azerbaijan","French Guiana","American Samoa","Mauritius","Vietnam","Saint Martin","Western Sahara"]}]
curl --location --request POST 'https://zylalabs.com/api/6060/global+mcdonald%27s+finder+api/8200/all+countries+with+mcdonald%27s' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
[{"number_of_restaurants":223}]
curl --location --request POST 'https://zylalabs.com/api/6060/global+mcdonald%27s+finder+api/8201/obtain+mcdonald%27s+count+by+country' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"country":"Required"}'
[{"first_outlet_location":"Belgrano, Buenos Aires"}]
curl --location --request POST 'https://zylalabs.com/api/6060/global+mcdonald%27s+finder+api/8202/obtain+first+mcdonald%27s+location+per+country' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"country":"Required"}'
[{"date_of_first_outlet":"November 24, 1986"}]
curl --location --request POST 'https://zylalabs.com/api/6060/global+mcdonald%27s+finder+api/8203/obtain+date+of+first+mcdonald%27s+by+country' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"country":"Required"}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
You can retrieve data on McDonald’s locations worldwide, including details about countries, restaurant counts, and years of operation.
The API processes data on countries and territories that host McDonald’s locations, providing insights into its international footprint and operational reach.
The API does not specify a limit on the number of locations you can query, but it may depend on the specific endpoint and parameters used.
Yes, the API provides information on the years of operation for McDonald’s locations, which can help in analyzing historical data.
Potential use cases include market research, competitive analysis, location-based services, and insights into global fast-food trends.
Each endpoint returns structured data related to McDonald's locations. For example, the "all countries" endpoint returns a list of countries, while the "count by country" endpoint provides the total number of restaurants in a specified country.
Key fields include "countries" for the list of nations, "number_of_restaurants" for total counts, "first_outlet_location" for the first restaurant's address, and "date_of_first_outlet" for the opening date in a specific country.
The response data is organized in JSON format, with each endpoint returning an array of objects. For instance, the "count by country" endpoint returns an object containing the "number_of_restaurants" field.
Users can specify a country as a parameter for the "count by country," "first outlet location," and "date of first outlet" endpoints. The "all countries" endpoint does not require parameters.
Users can customize requests by specifying the country parameter in relevant endpoints. For example, to find the first McDonald's location in Canada, users would include "Canada" as the parameter.
Typical use cases include analyzing market presence in specific countries, tracking the growth of McDonald's over time, and comparing restaurant counts across different regions for competitive analysis.
Data accuracy is maintained through regular updates and quality checks, ensuring that the information reflects the current status of McDonald's locations worldwide.
If an endpoint returns partial or empty results, users should verify the country parameter for accuracy. Additionally, checking the API documentation for valid country names can help ensure correct queries.
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