The Global Revenue Data Extraction 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/8837/global+revenue+data+extraction+api/15564/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/8837/global+revenue+data+extraction+api/15569/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/8837/global+revenue+data+extraction+api/15574/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 Revenue Data Extraction API is structured and can be accessed in various formats, typically JSON, which allows for easy integration and manipulation within applications.
The Global Revenue Data Extraction 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 Revenue Data Extraction 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 Revenue Data Extraction 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.
To obtain your API key, you first need to sign in to your account and subscribe to the API you want to use. Once subscribed, go to your Profile, open the Subscription section, and select the specific API. Your API key will be available there and can be used to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
If you don’t cancel before the 7th day, your free trial will end automatically and your subscription will switch to a paid plan under the same plan you originally subscribed to, meaning you will be charged and gain access to the API calls included in that plan.
The free trial ends when you reach 50 API requests or after 7 days, whichever comes first.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
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.
Service Level:
100%
Response Time:
12,386ms
Service Level:
100%
Response Time:
15,677ms
Service Level:
100%
Response Time:
10,788ms
Service Level:
100%
Response Time:
4,749ms
Service Level:
100%
Response Time:
434ms
Service Level:
100%
Response Time:
109ms
Service Level:
100%
Response Time:
4,352ms
Service Level:
100%
Response Time:
53ms
Service Level:
100%
Response Time:
520ms
Service Level:
100%
Response Time:
1,265ms
Service Level:
100%
Response Time:
16ms
Service Level:
100%
Response Time:
15ms
Service Level:
100%
Response Time:
7,172ms
Service Level:
100%
Response Time:
2,500ms
Service Level:
100%
Response Time:
3,328ms
Service Level:
100%
Response Time:
3,131ms
Service Level:
100%
Response Time:
2,583ms
Service Level:
100%
Response Time:
2,904ms
Service Level:
100%
Response Time:
3,468ms
Service Level:
100%
Response Time:
2,724ms