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LinkedIn Company Employees Scraper ✅ No Cookies 📧

Try for free

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.

Pricing

Pay per event

Rating

4.8

(17)

Developer

HarvestAPI

Actor stats

193

Bookmarked

Total users

1.5K

Monthly active users

9.8 hours

Issues response

8 days ago

Last modified

Categories

Lead generation

Social media

Automation

You can access the LinkedIn Company Employees Scraper ✅ No Cookies 📧 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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        "properties": {
          "profileScraperMode": {
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            "enum": [
              "Short ($4 per 1k)",
              "Full ($8 per 1k)",
              "Full + email search ($12 per 1k)"
            ],
            "type": "string",
            "description": "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)"
          },
          "maxItems": {
            "title": "Maximum number of profiles to scrape",
            "type": "integer",
            "description": "Maximum number of profiles to scrape. The actor will stop scraping when this limit is reached."
          },
          "companies": {
            "title": "Companies",
            "maxItems": 1000,
            "type": "array",
            "description": "Search employees of these companies. Provide full LinkedIn URLs. Example: `https://www.linkedin.com/company/google`",
            "items": {
              "type": "string"
            }
          },
          "locations": {
            "title": "Locations Filter",
            "maxItems": 20,
            "type": "array",
            "description": "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 search at `https://www.linkedin.com/search/results/people/?geoUrn=%5B%22103644278%22%5D` - we will use the first suggestion from the autocomplete popup when you type your location",
            "items": {
              "type": "string"
            }
          },
          "searchQuery": {
            "title": "Search employees (fuzzy search)",
            "maxLength": 300,
            "type": "string",
            "description": "Query to search LinkedIn profiles."
          },
          "jobTitles": {
            "title": "Job Title Filter",
            "maxItems": 20,
            "type": "array",
            "description": "Filter Profiles by these LinkedIn job titles. Example: `Software Engineer`.",
            "items": {
              "type": "string"
            }
          },
          "pastJobTitles": {
            "title": "Past Job Title Filter",
            "maxItems": 20,
            "type": "array",
            "description": "Filter Profiles by these LinkedIn past job titles. Example: `Software Engineer`.",
            "items": {
              "type": "string"
            }
          },
          "industryIds": {
            "title": "Industry IDs Filter",
            "maxItems": 20,
            "type": "array",
            "description": "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`",
            "items": {
              "type": "string"
            }
          },
          "yearsAtCurrentCompanyIds": {
            "title": "Years at Current Company Filter",
            "uniqueItems": true,
            "type": "array",
            "description": "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\" }",
            "items": {
              "type": "string",
              "enum": [
                "1",
                "2",
                "3",
                "4",
                "5"
              ],
              "enumTitles": [
                "Less than 1 year",
                "1 to 2 years",
                "3 to 5 years",
                "6 to 10 years",
                "More than 10 years"
              ]
            }
          },
          "yearsOfExperienceIds": {
            "title": "Years of Experience Filter",
            "type": "array",
            "description": "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\" }",
            "items": {
              "type": "string",
              "enum": [
                "1",
                "2",
                "3",
                "4",
                "5"
              ],
              "enumTitles": [
                "Less than 1 year",
                "1 to 2 years",
                "3 to 5 years",
                "6 to 10 years",
                "More than 10 years"
              ]
            }
          },
          "seniorityLevelIds": {
            "title": "Seniority Level Filter",
            "type": "array",
            "description": "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\": \"Owner / Partner\" }",
            "items": {
              "type": "string",
              "enum": [
                "100",
                "110",
                "120",
                "130",
                "200",
                "210",
                "220",
                "300",
                "310",
                "320"
              ],
              "enumTitles": [
                "In Training",
                "Entry Level",
                "Senior",
                "Strategic",
                "Entry Level Manager",
                "Experienced Manager",
                "Director",
                "Vice President",
                "CXO",
                "Owner / Partner"
              ]
            }
          },
          "functionIds": {
            "title": "Function Filter",
            "type": "array",
            "description": "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\": \"Entrepreneurship\", \"10\": \"Finance\", \"11\": \"Healthcare Services\", \"12\": \"Human Resources\", \"13\": \"Information Technology\", \"14\": \"Legal\", \"15\": \"Marketing\", \"16\": \"Media and Communication\", \"17\": \"Military and Protective Services\", \"18\": \"Operations\", \"19\": \"Product Management\", \"20\": \"Program and Project Management\", \"21\": \"Purchasing\", \"22\": \"Quality Assurance\", \"23\": \"Real Estate\", \"24\": \"Research\", \"25\": \"Sales\", \"26\": \"Customer Success and Support\" }",
            "items": {
              "type": "string",
              "enum": [
                "1",
                "2",
                "3",
                "4",
                "5",
                "6",
                "7",
                "8",
                "9",
                "10",
                "11",
                "12",
                "13",
                "14",
                "15",
                "16",
                "17",
                "18",
                "19",
                "20",
                "21",
                "22",
                "23",
                "24",
                "25",
                "26"
              ],
              "enumTitles": [
                "Accounting",
                "Administrative",
                "Arts and Design",
                "Business Development",
                "Community and Social Services",
                "Consulting",
                "Education",
                "Engineering",
                "Entrepreneurship",
                "Finance",
                "Healthcare Services",
                "Human Resources",
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                "Legal",
                "Marketing",
                "Media and Communication",
                "Military and Protective Services",
                "Operations",
                "Product Management",
                "Program and Project Management",
                "Purchasing",
                "Quality Assurance",
                "Real Estate",
                "Research",
                "Sales",
                "Customer Success and Support"
              ]
            }
          },
          "companyHeadcount": {
            "title": "Company Headcount Filter",
            "type": "array",
            "description": "Filter Profiles by their current company's headcount.",
            "items": {
              "type": "string",
              "enum": [
                "A",
                "B",
                "C",
                "D",
                "E",
                "F",
                "G",
                "H",
                "I"
              ],
              "enumTitles": [
                "Self-Employed",
                "1-10",
                "11-50",
                "51-200",
                "201-500",
                "501-1,000",
                "1,001-5,000",
                "5,001-10,000",
                "10,001+"
              ]
            }
          },
          "recentlyChangedJobs": {
            "title": "Recently Changed Jobs Filter",
            "type": "boolean",
            "description": "If enabled, only Profiles of people who have recently changed jobs will be returned."
          },
          "companyBatchMode": {
            "title": "Company Batch Mode",
            "enum": [
              "all_at_once",
              "one_by_one"
            ],
            "type": "string",
            "description": "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"
          },
          "maxItemsPerCompany": {
            "title": "Maximum number of profiles to scrape per company (only for 'one by one' Company Batch Mode)",
            "type": "integer",
            "description": "Maximum number of profiles to scrape. The actor will stop scraping when this limit is reached."
          },
          "startPage": {
            "title": "Start Page",
            "minimum": 0,
            "maximum": 100,
            "type": "integer",
            "description": "The page number to start scraping from. Starts from 1."
          },
          "takePages": {
            "title": "Scrape Search Pages",
            "minimum": 0,
            "maximum": 100,
            "type": "integer",
            "description": "The number of search pages to scrape. Each page contains 25 profiles."
          },
          "excludeLocations": {
            "title": "Exclude Locations Filter",
            "maxItems": 20,
            "type": "array",
            "description": "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 search at `https://www.linkedin.com/search/results/people/?geoUrn=%5B%22103644278%22%5D` - we will use the first suggestion from the autocomplete popup when you type your location",
            "items": {
              "type": "string"
            }
          },
          "excludePastCompanies": {
            "title": "Exclude Past Company Filter",
            "maxItems": 10,
            "type": "array",
            "description": "Exclude Profiles by these LinkedIn past companies. Provide full LinkedIn URLs",
            "items": {
              "type": "string"
            }
          },
          "excludeSchools": {
            "title": "Exclude School Filter",
            "maxItems": 10,
            "type": "array",
            "description": "Exclude Profiles by these LinkedIn schools. Example: `Stanford University`.",
            "items": {
              "type": "string"
            }
          },
          "excludeCurrentJobTitles": {
            "title": "Exclude Current Job Title Filter",
            "maxItems": 20,
            "type": "array",
            "description": "Exclude Profiles by these LinkedIn current job titles. Example: `Software Engineer`.",
            "items": {
              "type": "string"
            }
          },
          "excludePastJobTitles": {
            "title": "Exclude Past Job Title Filter",
            "maxItems": 20,
            "type": "array",
            "description": "Exclude Profiles by these LinkedIn past job titles. Example: `Software Engineer`.",
            "items": {
              "type": "string"
            }
          },
          "excludeIndustryIds": {
            "title": "Exclude Industry IDs Filter",
            "maxItems": 20,
            "type": "array",
            "description": "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`",
            "items": {
              "type": "string"
            }
          },
          "excludeSeniorityLevelIds": {
            "title": "Exclude Seniority Level Filter",
            "type": "array",
            "description": "Filter Profiles by these LinkedIn seniority level IDs. Example: `120` for 'Senior'.",
            "items": {
              "type": "string",
              "enum": [
                "100",
                "110",
                "120",
                "130",
                "200",
                "210",
                "220",
                "300",
                "310",
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              ],
              "enumTitles": [
                "In Training",
                "Entry Level",
                "Senior",
                "Strategic",
                "Entry Level Manager",
                "Experienced Manager",
                "Director",
                "Vice President",
                "CXO",
                "Owner / Partner"
              ]
            }
          },
          "excludeFunctionIds": {
            "title": "Exclude Function Filter",
            "type": "array",
            "description": "Filter Profiles by these LinkedIn function IDs. Example: `8` for 'Engineering'.",
            "items": {
              "type": "string",
              "enum": [
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                "Entrepreneurship",
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                "Military and Protective Services",
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                "Program and Project Management",
                "Purchasing",
                "Quality Assurance",
                "Real Estate",
                "Research",
                "Sales",
                "Customer Success and Support"
              ]
            }
          }
        }
      },
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                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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                "type": "string",
                "format": "date-time",
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              "status": {
                "type": "string",
                "example": "READY"
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                "type": "object",
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                    "example": "API"
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                  },
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                  },
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                    "example": 0
                  },
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                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

LinkedIn Company Employees Scraper ✅ No Cookies 📧 OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for LinkedIn Company Employees Scraper ✅ No Cookies 📧 from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

LinkedIn Company Employees Scraper ✅ No Cookies 📧 API in Python

LinkedIn Company Employees Scraper ✅ No Cookies 📧 API in JavaScript

LinkedIn Company Employees Scraper ✅ No Cookies 📧 API through CLI

LinkedIn Company Employees Scraper ✅ No Cookies 📧 API

Company Employees Scraper for LinkedIn | No Cookies

apimaestro/linkedin-company-employees-scraper-no-cookies

Extract LinkedIn company employees without sharing your cookies or account. Get structured data including profile details, job titles, and current positions. No login required.

API Maestro

3.8

LinkedIn Company Employees Scraper & Email Finder - No Login

george.the.developer/linkedin-company-employees-scraper

Scrape LinkedIn company employees with emails, job titles, and profiles. No login or cookies required. Export to CSV, JSON, or Excel.

George Kioko

206

LinkedIn Company Search Scraper ✅ No Cookies

harvestapi/linkedin-company-search

Search for LinkedIn companies with filters and extract detailed company information. No cookies or account required. Fast and reliable actor

HarvestAPI

786

5.0

LinkedIn Profile Search Scraper No Cookies ✅ Find all people 📧

harvestapi/linkedin-profile-search

Search for LinkedIn profiles with filters and extract detailed profile information, including work experience, education history, location and more. No cookies or account required.

HarvestAPI

13K

4.7

Linkedin Company Employees Scraper (No cookie)

unlimitedleadtestinbox/linkedin-company-employees-scraper-no-cookie

Linkedin Company Employees Scraper (No cookie)

unli

138

1.0

LinkedIn Employees Scraper

artificially/linkedin-employees-scraper

Scrape employees of any LinkedIn company without login, cookies, or authentication. Get names, titles, locations, and profile URLs of company employees.

Artificially

Linkedin Company Employees Scraper

scraper-engine/linkedin-company-employees-scraper

🚀 LinkedIn Company Employees Scraper extracts all public employee profiles from any LinkedIn company page — including names, job titles, departments, locations & profile URLs. Ideal for lead generation, recruitment & market research. Export data in CSV, JSON, or Excel via Apify API.

Scraper Engine

222

1.5

Linkedin Company Employees

simpleapi/linkedin-company-employees

LinkedIn Company Employees Scraper extracts employee lists from LinkedIn company pages, including names, roles, locations, experience, and profile URLs. Ideal for recruiting, lead generation, market research, and automating structured employee data collection at scale

SimpleAPI

Linkedin Company Details Scraper (No Cookies) ✅ Bulk

harvestapi/linkedin-company

Extract detailed information from LinkedIn Companies such as company name, address, phone numbers, website, employee count, and more. Find LinkedIn company URLs by name in Bulk. No cookies or account required.

HarvestAPI

4.1K

4.4