Sector & Industry API - [Instant Access via SIC Code]

Accessing Intrinio data for individual US equities is affordable, easy, and extremely valuable when analyzing investments. What can be even more powerful is accessing that data on an industry-wide or sector-wide level. We developed a Sector & Industry API so investors and developers can instantly access data to generate lucrative insights for different segments of the market.

The Sector & Industry API enables you to identify and track both historical and the most recent trends for sectors like Oil & Gas, Pharmaceuticals, and Technology. If you're a developer, this gives you unprecedented, flexible access to data for integration into your website, software, application, or even your blog. If you're an investor, you can perform powerful analytics leveraging our Excel add-in.

Sector & Industry API - What is it?

We leveraged the power of the SIC code to aggregate our US Public Company data by sector and industry.

The Standard Industrial Classification SIC is a system for classifying industries by a four-digit code. Established in the United States in 1937, it is used by government agencies to classify industry areas.-Wikipedia

According to Wikipedia, SIC codes are assigned based on common characteristics shared in the products, services, production, and delivery system of a business.

Making this data available via a REST Web API is incredibly powerful. It's a flexible distribution system that enables our users to access the data in countless ways, leveraging any programming language, to build game-changing products.

The power of a Sector & Industry API is unprecedented, but we recognize that not everyone is a developer and that a lot of valuable financial analysis happens in Excel. That's why we also built an Excel add-in around the API that enables our users to access the data in their spreadsheets.

Using the Sector & Industry API

Endpoint

NOTE: The examples below are for v1 of the Intrinio API. If you’re using API v2, follow the v2 documentation instead.

https://api.intrinio.com/data_point?identifier={symbol}&item={tag}

https://api.intrinio.com/data_point?identifier={symbol1,symbol2}&item={tag1,tag2}

Sample API Calls

FULL URL: https://api.intrinio.com/data_point?identifier=$SIC.3500&item=totalrevenue

{ "identifier": "$SIC.3500", "item": "totalrevenue", "value": 637274000.0 }

full url: https://api.intrinio.com/historical_data?identifier=$sic.3500&item=totalrevenue&frequency=monthly&type=median

{
    "identifier": "$sic.3500",
    "item": "totalrevenue",
    "result_count": 108,
    "page_size": 50000,
    "current_page": 1,
    "total_pages": 1,
    "api_call_credits": 1,
    "data": [
        {
            "date": "2016-08-31",
            "value": 637274000.0
        },
        {
            "date": "2016-07-31",
            "value": 637274000.0
        },
        ...
    ]
}

full url: https://api.intrinio.com/data_point?identifier=aapl&item=sic 


{
identifier: "aapl",
item: "sic",
value: 3571
}

=IntrinioDataPoint(identifier, item)

=IntrinioHistoricalData(identifier, item, sequence, start_date, end_date, frequency, type, show_date)

=intriniodatapoint("$sic.3500","pricetoearnings")

21.6242

=intriniohistoricaldata("$sic.3500","open_price",2,,,"yearly","25thpctl")

15.884325