The McDonalds Stock Pricing Data API allows users to programmatically retrieve McDonald’s (MCD) historical stock data, including daily opening and closing prices, highs, lows, adjusted close values, and trading volumes. The API is designed for financial analysts, developers, and data scientists who need reliable stock performance data for research, backtesting trading strategies, financial modeling, or visualization.
[
{
"years": [
2025,
2024,
2023,
2022,
2021,
2020,
2019,
2018,
2017,
2016,
2015,
2014,
2013,
2012,
2011,
2010,
2009,
2008,
2007,
2006,
2005,
2004,
2003,
2002,
2001,
2000,
1999,
1998,
1997,
1996,
1995,
1994,
1993,
1992,
1991,
1990,
1989,
1988,
1987,
1986,
1985,
1984,
1983,
1982,
1981,
1980,
1979,
1978,
1977,
1976,
1975,
1974,
1973,
1972,
1971,
1970,
1969,
1968,
1967
]
}
]
curl --location --request POST 'https://zylalabs.com/api/10112/mcdonalds+stock+pricing+data+api/19312/fetch+years+available+in+dataset' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
[
{
"Year": 1998,
"Average Stock Price": 16.4655,
"Year Open": 12.5852,
"Year High": 20.8109,
"Year Low": 11.9906,
"Year Close": 20.4123,
"Annual % Change": 61.77
}
]
curl --location --request POST 'https://zylalabs.com/api/10112/mcdonalds+stock+pricing+data+api/19315/get+mcdonalds+corporation+price+by+year' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"year":"Required"}'
[
{
"Date": "Jun 3, 2024",
"Open": 257.93,
"High": 259.95,
"Low": 255.6,
"Close": 259.75,
"Adj Close": 252.36,
"Volume": 4342800
},
[]
]
curl --location --request POST 'https://zylalabs.com/api/10112/mcdonalds+stock+pricing+data+api/19320/get+mcdonald%27s+historical+stock+price+by+date' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"date":"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.
The McDonalds Stock Pricing Data API provides historical stock data including daily opening and closing prices, highs, lows, adjusted close values, and trading volumes for McDonald's (MCD).
The data returned by the McDonalds Stock Pricing Data API is typically in JSON format, allowing for easy integration and manipulation within various programming environments.
The McDonalds Stock Pricing Data API can be used for various applications such as financial analysis, backtesting trading strategies, financial modeling, and data visualization to assess McDonald's stock performance.
The API's output includes specific data fields such as date, opening price, closing price, high price, low price, adjusted close value, and trading volume for each trading day.
Developers can integrate the McDonalds Stock Pricing Data API by making HTTP requests to retrieve historical stock data, which can then be processed and displayed in their applications for analysis or visualization.
This endpoint returns a list of years for which McDonald's historical stock data is available. The response includes an array of years, allowing users to select specific years for further data retrieval.
The response includes fields such as Year, Average Stock Price, Year Open, Year High, Year Low, Year Close, and Annual % Change, providing a comprehensive overview of stock performance for the specified year.
Users can specify a date parameter to retrieve stock data for that particular day. The API supports dates from September 9, 2020, to September 9, 2025, allowing for targeted historical analysis.
The response is structured as an array of objects, each containing fields like Date, Open, High, Low, Close, Adj Close, and Volume. This organization facilitates easy access to daily stock performance metrics.
Typical use cases include conducting financial analysis, backtesting trading strategies, creating financial models, and visualizing stock performance trends over time, aiding in investment decision-making.
Users can parse the JSON response to extract relevant fields for analysis or visualization. For example, they can calculate trends, compare annual performance, or visualize daily price movements using the provided data.
The API sources data from reliable financial markets and institutions, ensuring accuracy. Regular updates and validation processes are implemented to maintain data integrity and reliability for users.
Users should check the response for empty arrays or null values, indicating no data for the requested parameters. Implementing error handling in their applications can help manage such scenarios effectively.
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The free trial ends when you reach 50 API requests or after 7 days, whichever comes first.
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Yes, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost, so you can test our APIs without any commitment.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
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