Internet Company Dataset
This JSON dataset provides information about major internet and technology companies. Each entry includes company name, founding year, headquarters, primary services, employee count, and stock ticker (if applicable).
This dataset is useful for analysis, visualization, building business directories, testing applications, or teaching data structures.
Sample JSON
[
{
"name": "Google",
"founded": 1998,
"founders": ["Larry Page", "Sergey Brin"],
"headquarters": "Mountain View, California, USA",
"services": ["Search", "Advertising", "Cloud", "AI", "Android"],
"employees": 182502,
"stock_ticker": "GOOGL"
},
{
"name": "Amazon",
"founded": 1994,
"founders": ["Jeff Bezos"],
"headquarters": "Seattle, Washington, USA",
"services": ["E-commerce", "Cloud", "Streaming", "AI"],
"employees": 1608000,
"stock_ticker": "AMZN"
},
{
"name": "Tencent",
"founded": 1998,
"founders": ["Ma Huateng", "Zhang Zhidong"],
"headquarters": "Shenzhen, Guangdong, China",
"services": ["Gaming", "Social Media", "Payments", "Cloud"],
"employees": 112771,
"stock_ticker": "0700.HK"
}
]
Field Descriptions
Field | Type | Description |
---|---|---|
name | string | Name of the internet company |
founded | number | Year the company was founded |
founders | string[] | List of company founders |
headquarters | string | Company headquarters location (city, state, country) |
services | string[] | Primary services/products the company offers |
employees | number | Approximate number of employees worldwide |
stock_ticker | string | Public stock symbol if the company is publicly traded |
How to Use This Dataset
You can use this dataset in a variety of applications:
- Data visualization: Create charts about company size, founding dates, or service areas.
- Tech education: Teach how to parse and transform structured JSON data.
- Search tools or UIs: Build filters and selectors for internet companies by service or region.
- Testing APIs: Use as mock data in REST/GraphQL responses.
- Business dashboards: Display company stats or comparison tables.
Example: Get All Publicly Traded Companies (in JS)
function getPublicCompanies(companies) {
return companies.filter(c => c.stock_ticker !== null && c.stock_ticker !== "");
}
const dataset = [/* JSON data above */];
console.log(getPublicCompanies(dataset)); // ➝ Array of companies with stock tickers