How does the JSON output and object description table of company enrichment API made by People Data Labs work?

In this article, I will focus on clarifying the object table and JSON output of People Data Labs' company enrichment API. As a reader with programming knowledge, you already understand the basics of object tables and JSON output. However, it's important to understand the specific details of how People Data Labs structures their object table and JSON output in their company enrichment API. By the end of this article, you'll have a clear understanding of the structure and format of the object table and JSON output, allowing you to use this data more effectively in your programming projects.

API Table

ObjectDescription
statusIndicates the current status of the company, such as active, inactive, closed, or acquired.
nameThe full name of the company.
sizeThe size of the company, usually measured by the number of employees or revenue.
employee_countThe total number of employees working for the company.
idA unique identifier assigned to the company.
foundedThe year the company was founded.
industryThe industry or sector in which the company operates.
locationThe company's primary location, usually in the form of a city or region.
localityThe locality or neighborhood where the company is located.
regionThe region or state where the company is located.
metroThe metropolitan area where the company is located.
countryThe country where the company is located.
continentThe continent where the company is located.
street_addressThe street address of the company's primary location.
address_line_2Additional address information, such as a suite or apartment number.
postal_codeThe postal code or zip code of the company's primary location.
geoThe geographical coordinates of the company's primary location, typically expressed as latitude and longitude.
linkedin_idThe unique identifier assigned to the company on LinkedIn.
linkedin_urlThe URL for the company's LinkedIn page.
  1. status: Indicates the current status of the company, such as active, inactive, closed, or acquired.

  2. name: The full name of the company.

  3. size: The size of the company, usually measured by the number of employees or revenue.

  4. employee_count: The total number of employees working for the company.

  5. id: A unique identifier assigned to the company.

  6. founded: The year the company was founded.

  7. industry: The industry or sector in which the company operates.

  8. location: The company's primary location, usually in the form of a city or region.

  9. locality: The locality or neighborhood where the company is located.

  10. region: The region or state where the company is located.

  11. metro: The metropolitan area where the company is located.

  12. country: The country where the company is located.

  13. continent: The continent where the company is located.

  14. street_address: The street address of the company's primary location.

  15. address_line_2: Additional address information, such as a suite or apartment number.

  16. postal_code: The postal code or zip code of the company's primary location.

  17. geo: The geographical coordinates of the company's primary location, typically expressed as latitude and longitude.

  18. linkedin_id: The unique identifier assigned to the company on LinkedIn.

  19. linkedin_url: The URL for the company's LinkedIn page.

Clarifying the JSON Output

The JSON output is a collection of data fields and their corresponding values, representing information about the company "Google". The data fields include the company's status, name, size, employee count, unique identifier, founding year, industry, location, social media profiles, website, summary, tags, and more. The "location" field is nested and provides further detail on the company's physical location, including its street address, locality, region, metro area, country, and continent. The "profiles" field contains a list of the company's social media profiles, while the "alternative_names" field lists variations of the company's name that have been used in the past. Additionally, the "affiliated_profiles" field lists other Google-related profiles, and the "likelihood" field indicates the API's confidence level in the accuracy of the data. This JSON output provides a comprehensive view of various details related to Google, which can be used for business intelligence, marketing, or research purposes.

{
"status": 200,
"name": "google",
"size": "10001+",
"employee_count": 260979,
"id": "google",
"founded": 1998,
"industry": "internet",
"location": {
"name": "mountain view, california, united states",
"locality": "mountain view",
"region": "california",
"metro": "san francisco, california",
"country": "united states",
"continent": "north america",
"street_address": "1600 amphitheatre parkway",
"address_line_2": null,
"postal_code": "94043",
"geo": null
},
"linkedin_id": "1441",
"linkedin_url": "linkedin.com/company/google",
"facebook_url
": "facebook.com/google",
"twitter_url
": "twitter.com/google",
"profiles
": [
"linkedin.com/company/google",
"
linkedin.com/company/1441",
"facebook.com/google",
"twitter.com/google",
"crunchbase.com/organization/google"
],
"website": "google.com",
"ticker": "GOOGL",
"type": "public",
"summary": "google\u2019s mission is to organize the world\u2018s information and make it universally accessible and useful. since our founding in 1998, google has grown by leaps and bounds. from offering search in a single language we now offer dozens of products and services\u2014including various forms of advertising and web applications for all kinds of tasks\u2014in scores of languages. and starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. a lot has changed since the first google search engine appeared. but some things haven\u2019t changed: our dedication to our users and our belief in the possibilities of the internet itself.",
"tags": [
"online video",
"artificial intelligence",
"mobile",
"android",
"cloud",
"machine learning",
"virtual reality",
"apps",
"software",
"ads"
],
"headline": null,
"alternative_names": [
"google inc.",
"google, social marketing tools",
"google, inc.",
"google inc",
"google, inc",
"google summer of code",
"google maps",
"google ireland",
"wildfire, a division of google",
"wildfire interactive, inc."
],
"alternative_domains": [
"googlevideo.com",
"google.nl",
"google.pt",
"gkecnapps.cn",
"youtube.com",
"youtu.be",
"youtubeeducation.com",
"gstatic.cn",
"youtubekids.com",
"googleadapis.com"
],
"affiliated_profiles": [
"youtube",
"google-cloud",
"think-with-google",
"google-ads-",
"googleworkspace",
"google-analytics",
"googlemarketingplatform",
"google-ad-manager",
"grow-with-google",
"google-cloud-partners",
"google-for-startups",
"google-small-business",
"x",
"google-partners",
"rework-with-google",
"googleplaydev",
"googleadmob",
"google-user-research.",
"google-news-initiative",
"adometry"
],
"likelihood": 4
}

Conclusion

We have discussed the object table and JSON output of People Data Labs' company enrichment API. We created a table listing the different objects that can be obtained through the API, and provided a detailed description of each. Additionally, we examined a sample JSON output, which demonstrated how the various objects can be combined to provide a comprehensive view of a company's information. Overall, the conversation highlighted the usefulness of data obtained through the People Data Labs company enrichment API, and how it can be used for a variety of business purposes, such as marketing, recruitment, and research.

Endnote

If you're interested in accessing the People Data Labs company enrichment API, you can do so through the third-party data marketplace of Worldindata. Worldindata offers a variety of data sets and APIs for businesses and researchers, including the People Data Labs company enrichment API. By requesting access through Worldindata, you can gain access to a wide range of company data, including information on a company's size, location, industry, and more. This data can be used for a variety of purposes, such as market research, lead generation, and competitive analysis. If you're interested in using the People Data Labs company enrichment API, consider requesting access through Worldindata to gain access to this valuable source of company data.