Get LinkedIn Company Workforce Insights
View all LinkedIn Data API endpoints →Supply company_id to retrieve aggregate associated-member categories. The documented data array has title and insights; each insight contains name and count. Examples include Locations, School, Current Function, Skill Explicit and Service categories. These are profile-association distributions, not verified personnel statistics. Categories can overlap, especially geographic regions, so their counts should not be summed into a headcount.
API Features
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/api/project/linkedin-scraper/get-company-associated-member-insights API Response (JSON)
{} curl -X GET 'https://api.opendata-api.com/api/project/linkedin-scraper/get-company-associated-member-insights?key=<API_KEY>&company_id=<company_id>'
Query Result
Use Cases
- Compare reported engineering-function distributions across selected companies.
- Save periodic skill-category snapshots for an appropriately governed workforce study.
- Review education-category context for a company-level talent brief.
- Inspect geographic concentration without double-counting overlapping regional buckets.
Frequently asked questions
What structure does each insight group use?
The sample uses data entries with title and insights, where insights is an array of name/count pairs. Read the titles and category names rather than assuming a fixed ordering.
Can I calculate headcount by adding location buckets?
No. Locations can overlap: a member may be counted in a country, a state and a metropolitan area. These associations are not an audited payroll total.