The Global Companies Revenue Data API offers programmatic access to information from the Wikipedia dataset listing the world’s largest companies by revenue. Designed with a modular structure, the API enables developers and analysts to retrieve company names, look up specific companies by name to get their rank and industry, and extract full details such as revenue, employees, headquarters, and country. This structure promotes efficient data access without overfetching, supporting filtering and parameterized queries for deeper insights. The API is ideal for building dashboards, conducting business analytics, or integrating global corporate data into applications.
[
{
"companies": [
{
"company_name": "Walmart"
},
{
"company_name": "Amazon"
},
{
"company_name": "State Grid Corporation of China"
},
{
"company_name": "Saudi Aramco"
},
{
"company_name": "China Petrochemical Corporation"
},
{
"company_name": "China National Petroleum Corporation"
},
{
"company_name": "UnitedHealth Group"
},
{
"company_name": "Apple"
},
{
"company_name": "Berkshire Hathaway"
},
{
"company_name": "CVS Health"
},
{
"company_name": "Alphabet"
},
{
"company_name": "Volkswagen Group"
},
{
"company_name": "ExxonMobil"
},
{
"company_name": "Vitol"
},
{
"company_name": "Shell"
},
{
"company_name": "China State Construction Engineering"
},
{
"company_name": "Toyota"
},
{
"company_name": "McKesson"
},
{
"company_name": "Cencora"
},
{
"company_name": "Microsoft"
},
{
"company_name": "Trafigura"
},
{
"company_name": "Costco"
},
{
"company_name": "JPMorgan Chase"
},
{
"company_name": "Industrial and Commercial Bank of China"
},
{
"company_name": "TotalEnergies"
},
{
"company_name": "Glencore"
},
{
"company_name": "BP"
},
{
"company_name": "Cardinal Health"
},
{
"company_name": "Stellantis"
},
{
"company_name": "Chevron"
},
{
"company_name": "China Construction Bank"
},
{
"company_name": "Samsung Electronics"
},
{
"company_name": "Foxconn"
},
{
"company_name": "Cigna"
},
{
"company_name": "Agricultural Bank of China"
},
{
"company_name": "Schwarz Gruppe"
},
{
"company_name": "China Railway Engineering Corporation"
},
{
"company_name": "Cargill"
},
{
"company_name": "Ford Motor Company"
},
{
"company_name": "Bank of China"
},
{
"company_name": "Bank of America"
},
{
"company_name": "General Motors"
},
{
"company_name": "Elevance Health"
},
{
"company_name": "BMW Group"
},
{
"company_name": "Mercedes-Benz Group"
},
{
"company_name": "China Railway Construction Corporation"
},
{
"company_name": "Baowu"
},
{
"company_name": "Citigroup"
},
{
"company_name": "Enel"
}
]
}
]
curl --location --request POST 'https://zylalabs.com/api/8838/global+companies+revenue+data+api/15563/get+companies' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
[
{
"company_name": "Walmart",
"rank": 1,
"industry": "Retail"
}
]
curl --location --request POST 'https://zylalabs.com/api/8838/global+companies+revenue+data+api/15567/get+company+info+by+name' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"name":"Required"}'
[
{
"company_name": "Walmart",
"revenue": 680985,
"profit": 19436,
"unit": "USD (in millions)",
"employees": 2100000,
"headquarters": "United States",
"state_owned": ""
}
]
curl --location --request POST 'https://zylalabs.com/api/8838/global+companies+revenue+data+api/15572/get+companies+details+by+name' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"name":"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 data returned by the Global Companies Revenue Data API is structured and can be accessed in various formats, typically JSON, which allows for easy integration and manipulation within applications.
The Global Companies Revenue Data API can be used for building dashboards, conducting business analytics, performing market research, and integrating global corporate data into applications for insights into company performance and industry trends.
The API is designed with a modular structure that allows users to perform parameterized queries, enabling efficient data access without overfetching, thus allowing users to retrieve only the specific information they need.
The Global Companies Revenue Data API provides structured access to data about the world’s largest companies ranked by revenue. Users can retrieve company names, ranks, industries, and detailed financial and operational information, including revenue figures, number of employees, headquarters locations, and countries.
The "get companies" endpoint returns a list of company names. The "get company info by name" endpoint provides the rank and industry for a specified company. The "get companies details by name" endpoint delivers comprehensive data, including revenue, profit, number of employees, and headquarters location.
Key fields include "company_name," "rank," "industry," "revenue," "profit," "employees," and "headquarters." These fields provide essential insights into each company's financial and operational status.
The response data is structured as JSON arrays containing objects. Each object represents a company with relevant fields, making it easy to parse and utilize in applications.
The "get company info by name" and "get companies details by name" endpoints require a "company_name" parameter. This allows users to specify which company's information they wish to retrieve.
The "get companies" endpoint provides a list of company names. The "get company info by name" endpoint offers rank and industry details, while the "get companies details by name" endpoint includes extensive financial data like revenue and employee counts.
Users can integrate the data into dashboards for visual analytics, conduct comparative analyses between companies, or use it for market research to identify industry trends and performance metrics.
The Global Companies Revenue Data API sources its data from the Wikipedia dataset, which is regularly updated to reflect the latest information on the world's largest companies by revenue.
Data accuracy is maintained through regular updates from reliable sources like Wikipedia, along with validation checks to ensure the information reflects current company standings and financials.
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