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Apify·LinkedIn

List LinkedIn Company Employees

/harvestapi/linkedin-company-employeesasync$0.018 / result

Extract all LinkedIn Company employees with filters and detailed profile information, including complete work experience, and more. No cookies or account required. This actor can try to find contact emails. Runs as an Apify actor (20–120 s); results are dataset rows.

Charged per returned row plus the flat fee.

Input
  • profileScraperModestring

    Choose the mode for scraping LinkedIn profiles. The Short mode provides basic information, while the Full mode includes full detailed profile data. (default "Full ($8 per 1k)")

    Short ($4 per 1k), Full ($8 per 1k), Full + email search ($12 per 1k)

  • maxItemsinteger

    Maximum number of profiles to scrape. The actor will stop scraping when this limit is reached.

  • companiesarray

    Search employees of these companies. Provide full LinkedIn URLs. Example: `https://www.linkedin.com/company/google`

  • locationsarray

    Filter employees by these LinkedIn locations. Example: `San Francisco`. LinkedIn does not always understand your text queries. For example for "UK" query it will apply "Ukraine" location, so you should use "United Kingdom" in this case. Try this out first in the location filter input of LinkedIn sea

  • searchQuerystring

    Query to search LinkedIn profiles.

  • jobTitlesarray

    Filter Profiles by these LinkedIn job titles. Example: `Software Engineer`.

  • pastJobTitlesarray

    Filter Profiles by these LinkedIn past job titles. Example: `Software Engineer`.

  • schoolsarray

    Filter Profiles by these LinkedIn schools. Example: `Stanford University`.

  • industryIdsarray

    Filter Profiles by these LinkedIn industry IDs. Example: `4` for 'Software Development'. Full list: `https://github.com/HarvestAPI/linkedin-industry-codes-v2/blob/main/linkedin_industry_code_v2_all_eng_with_header.csv`

  • yearsAtCurrentCompanyIdsarray

    Filter Profiles by these LinkedIn years at current company IDs. Example: `3` for '3 to 5 years'. Full list: { "1": "Less than 1 year", "2": "1 to 2 years", "3": "3 to 5 years", "4": "6 to 10 years", "5": "More than 10 years" }

  • yearsOfExperienceIdsarray

    Filter Profiles by these LinkedIn years of experience IDs. Example: `3` for '3 to 5 years'. Full list: { "1": "Less than 1 year", "2": "1 to 2 years", "3": "3 to 5 years", "4": "6 to 10 years", "5": "More than 10 years" }

  • seniorityLevelIdsarray

    Filter Profiles by these LinkedIn seniority level IDs. Example: `120` for 'Senior'. Full list: { "100": "In Training", "110": "Entry Level", "120": "Senior", "130": "Strategic", "200": "Entry Level Manager", "210": "Experienced Manager", "220": "Director", "300": "Vice President", "310": "CXO", "320

  • functionIdsarray

    Filter Profiles by these LinkedIn function IDs. Example: `8` for 'Engineering'. Full list: { "1": "Accounting", "2": "Administrative", "3": "Arts and Design", "4": "Business Development", "5": "Community and Social Services", "6": "Consulting", "7": "Education", "8": "Engineering", "9": "Entrepreneu

  • companyHeadcountarray

    Filter Profiles by their current company's headcount.

  • recentlyChangedJobsboolean

    If enabled, only Profiles of people who have recently changed jobs will be returned.

  • companyBatchModestring

    Choose how to process the companies. 'All at once' will search employees from all companies in one query, while 'One by one' will process each make a query for each company separately. The start fee will apply for each query. (default "all_at_once")

    all_at_once, one_by_one

  • maxItemsPerCompanyinteger

    Maximum number of profiles to scrape. The actor will stop scraping when this limit is reached.

  • startPageinteger

    The page number to start scraping from. Starts from 1.

  • takePagesinteger

    The number of search pages to scrape. Each page contains 25 profiles.

  • excludeLocationsarray

    Exclude Profiles by these LinkedIn locations. Example: `San Francisco`. LinkedIn does not always understand your text queries. For example for "UK" query it will apply "Ukraine" location, so you should use "United Kingdom" in this case. Try this out first in the location filter input of LinkedIn sea

  • excludePastCompaniesarray

    Exclude Profiles by these LinkedIn past companies. Provide full LinkedIn URLs

  • excludeSchoolsarray

    Exclude Profiles by these LinkedIn schools. Example: `Stanford University`.

  • excludeCurrentJobTitlesarray

    Exclude Profiles by these LinkedIn current job titles. Example: `Software Engineer`.

  • excludePastJobTitlesarray

    Exclude Profiles by these LinkedIn past job titles. Example: `Software Engineer`.

  • excludeIndustryIdsarray

    Exclude Profiles by these LinkedIn industry IDs. Example: `4` for 'Software Development'. Full list: `https://github.com/HarvestAPI/linkedin-industry-codes-v2/blob/main/linkedin_industry_code_v2_all_eng_with_header.csv`

  • excludeSeniorityLevelIdsarray

    Filter Profiles by these LinkedIn seniority level IDs. Example: `120` for 'Senior'.

  • excludeFunctionIdsarray

    Filter Profiles by these LinkedIn function IDs. Example: `8` for 'Engineering'.

Run it

curl -s https://sooma.dev/v1/run \ -H "Authorization: Bearer $SOOMA_API_KEY" \ -H "Content-Type: application/json" \ -d '{"provider":"apify","endpoint":"/harvestapi/linkedin-company-employees","input":{}}'

Or ask your agent: it will call inspect for this schema and run it over MCP.