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Data Marketplace · Companies & locations

LinkedIn Companies Dataset

Create source-linked company profiles with organization identity, industry, location, workforce context, and public descriptions.

Request LinkedIn sampleView fields
  • Records Company · Industry · Headquarters
  • Source LinkedIn
  • Formats JSON · CSV · Parquet
Dataset preview · linkedin companiesReady
Observation 01

An illustrative view of how company, industry, headquarte…

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Field 01
An illustrative view of how company, industry, headquarte…
{
  "company_name": "Example Systems",
  "industry": "Software",
  "headquarters": {
    "country": "RO",
    "city": "Bucharest"
  },
  "company_size": "displayed band",
  "profile_url": "https://example.test/company",
  "captured_at": "2026-08-07T08:00:00Z"
}
An illustrative view of how company, industry, headquarters and collection context arrive together.

Schema and fields

Turn public company profiles into analysis-ready records.

Start with company, industry, headquarters. Source identity, collection time, and field meaning stay connected so records can move into analysis without losing their context.

company_name string

Displayed organization name

profile_url url

Public source profile

industry string

Displayed industry

headquarters object

Public location context

company_size string

Displayed size band

description string

Public organization summary

website url

Displayed company website

captured_at timestamp

Collection time

Freshness and delivery

Refresh company profiles as markets and organizations change.

Use a dated company snapshot for market mapping or recurring refreshes to keep profile and workforce context aligned with the analysis cycle.

Snapshot Start from a dated baseline Selected scope and collection window

Refresh Receive recurring updates Cadence and change behavior

Format Use JSON, CSV, or Parquet Schema, partitioning, and manifest

Validation Run repeatable checks Counts, fields, missing states, and version

LinkedIn applications

Map companies, markets, and account context.

Use source-linked, time-stamped records for account and market mapping, plus company record enrichment. Each application starts from the same documented fields and collection context.

01

Account and market mapping

Group companies by industry, geography, public profile attributes, and selected workforce context.

02

Company record enrichment

Attach source-linked organization context to an existing account or research dataset.

03

Ecosystem research

Compare company positioning, locations, descriptions, and public organization changes.

From sample to production

Test LinkedIn Companies records in your data stack.

Start with representative rows, run the joins and calculations that matter, and shape delivery around the system that will consume the data.

  1. 01

    Choose the useful scope

    Select the entities, markets, fields, dates, and business output the collection should support.

  2. 02

    Run a sample through your stack

    Check identifiers, fields, joins, missing states, and source context with your own queries or models.

  3. 03

    Set the delivery pattern

    Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.

LinkedIn dataset FAQ

Plan the right LinkedIn Companies collection.

What does the LinkedIn Companies Dataset include?

Create source-linked company profiles with organization identity, industry, location, workforce context, and public descriptions. Core records include company, industry, headquarters, public profile, workforce context.

What can I build with LinkedIn data?

Common applications include account and market mapping, company record enrichment, ecosystem research. Start with the fields and time window required by the business output.

How can the LinkedIn dataset stay current?

Use a dated company snapshot for market mapping or recurring refreshes to keep profile and workforce context aligned with the analysis cycle.

When should I use the LinkedIn API instead?

Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.

Continue the data journey

Connect LinkedIn data to the wider use case.

Compare the adjacent dataset, open the source API, or continue into the relevant data, industry, and solution pages.

Start with real records

Request a LinkedIn dataset sample.

Tell us which company and industry data you need, plus the markets, fields, dates, and destination. We will map the collection to that requirement.

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