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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
Public LinkedIn company profiles become source-linked organization records with industry, headquarters, workforce context, and descriptions

Schema and fields

Turn public company profiles into analysis-ready records.

company_namestring

Displayed organization name

profile_urlurl

Public source profile

industrystring

Displayed industry

headquartersobject

Public location context

company_sizestring

Displayed size band

descriptionstring

Public organization summary

websiteurl

Displayed company website

captured_attimestamp

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.

SnapshotStart from a dated baselineSelected scope and collection window
RefreshReceive recurring updatesCadence and change behavior
FormatUse JSON, CSV, or ParquetSchema, partitioning, and manifest
ValidationRun repeatable checksCounts, fields, missing states, and version

LinkedIn applications

Map companies, markets, and account 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.

  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.

What can I build with LinkedIn data?

  • Account and market mapping

  • Company record enrichment

  • Ecosystem research

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.

Start with real records

Request a LinkedIn dataset sample.

Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.

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