🏢 LinkedIn Company Premium Insights Scraper | Comprehensive Business Intelligence

Extract comprehensive LinkedIn company data including premium insights, employee demographics, growth metrics, and business intelligence. Fast, reliable, and scalable solution for market research, lead generation, and competitive analysis. No login required.

💎 No LinkedIn Premium Required - Access Premium Data!

🚀 The Game-Changer: This actor extracts LinkedIn Premium insights WITHOUT requiring a LinkedIn Premium subscription!

What You Get (Worth $59.99/month in LinkedIn Premium):

• ✅ Company growth insights - Headcount growth trends normally behind Premium paywall
• ✅ Employee demographics - Function/seniority distribution (Premium-only feature)
• ✅ Hiring insights - Recent hiring patterns and top job openings
• ✅ Company trends - Employee growth rate over time
• ✅ Employee profiles - Access to employee data typically restricted to Premium members

🎯 Powerful Use Cases - What You Can Actually Do:

For Sales & Business Development:

• 🔥 Spot buying signals - Companies growing 20%+ are actively buying solutions
• 💰 Find budget indicators - New VP of Sales hire = sales tool budget incoming
• 🎯 Perfect timing - Company just hired 10 engineers? They need dev tools NOW
• 📈 Expansion alerts - Track when prospects open new offices (multi-location deals!)

For Investors & VCs:

• 🚀 Early growth detection - Spot startups scaling from 50→150 employees before TechCrunch
• 💎 Hidden gems - Find companies with 5x engineering growth (product-market fit!)
• ⚠️ Red flags - Mass executive departures signal problems before news breaks
• 📊 Due diligence - Verify claimed growth rates with actual employee data

For Recruiters & Talent Acquisition:

• 🎣 Poaching opportunities - Companies shrinking = talented people looking
• 🏗️ Department building - New AI team forming? They need 20+ engineers fast
• 🌟 Talent flows - Track where Google/Meta alumni are going after layoffs
• 💼 Competitive intel - See exact roles competitors are desperately hiring for

For Market Research & Strategy:

• 🗺️ Expansion mapping - Company hiring in Austin = new office opening
• 🔮 Predict product launches - New blockchain team = crypto product coming
• 📉 Industry shifts - Track role changes (less QA, more AI engineers)
• 🏆 Competitive positioning - Compare team sizes with competitors

For M&A & Corporate Development:

• 🎯 Acquisition targets - Find companies with the exact team you need
• 💡 Integration planning - Understand org structure before acquisition
• 🔍 Talent retention risk - Identify key employees before deals close
• 📊 Valuation insights - Employee growth rate impacts company valuations

🎯 Features

• Employee profiles and demographics
• Company locations and offices
• Secure cookie-based authentication
• Premium insights and analytics
• Secure authentication - Uses cookies for safe data access

🚀 Quick Start

Basic Usage

{
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft"
  ]
}

📥 Input Parameters

Parameter	Type	Required	Description
companyUrls	array	Yes

📤 Output

The Actor outputs comprehensive data for each company. Here's a sample output:

{
  "company": {
    "entityUrn": "urn:li:fsd_company:1035",
    "name": "Microsoft",
    "universalName": "microsoft",
    "multiLocaleNames": [
      {
        "value": "微軟",
        "key": "zh_TW"
      },
      {
        "value": "Microsoft",
        "key": "ko_KR"
      },
      {
        "value": "Microsoft",
        "key": "en_US"
      },
      {
        "value": "Microsoft",
        "key": "pt_BR"
      },
      {
        "value": "微软",
        "key": "zh_CN"
      },
      {
        "value": "Microsoft",
        "key": "ja_JP"
      }
    ],
    "foundedOn": null,
    "url": "https://www.linkedin.com/company/microsoft/",
    "websiteUrl": "https://news.microsoft.com/",
    "multiLocaleDescriptions": [
      {
        "value": "Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. \n\nMicrosoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.",
        "key": "en_US"
      }
    ],
    "description": "Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. \n\nMicrosoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.",
    "phone": null,
    "pageType": "COMPANY",
    "tagline": null,
    "employeeCount": 229337,
    "headquarter": {
      "description": null,
      "streetAddressOptOut": false,
      "headquarter": true,
      "address": {
        "country": "US",
        "geographicArea": "Washington",
        "line4": null,
        "city": "Redmond",
        "postalCode": "98052",
        "line3": null,
        "line2": null,
        "line1": "1 Microsoft Way"
      }
    },
    "locations": [
      {
        "description": null,
        "streetAddressOptOut": false,
        "headquarter": true,
        "address": {
          "country": "US",
          "geographicArea": "Washington",
          "line4": null,
          "city": "Redmond",
          "postalCode": "98052",
          "line3": null,
          "line2": null,
          "line1": "1 Microsoft Way"
        }
      },
      {
        "description": null,
        "streetAddressOptOut": false,
        "headquarter": false,
        "address": {
          "country": "AU",
          "geographicArea": "NSW",
          "line4": null,
          "city": "North Sydney",
          "postalCode": "2060",
          "line3": null,
          "line2": null,
          "line1": "1 Denison Street "
        }
      },
      // more locations
    ],
    "industry": [
      {
        "name": "Computer Software",
        "entityUrn": "urn:li:fsd_industry:4"
      }
    ],
    "industryV2": [],
    "industryV2Taxonomy": [
      {
        "name": "Software Development",
        "entityUrn": "urn:li:fsd_industryV2:4"
      }
    ],
    "logoV2": "https://media.licdn.com/dms/image/v2/D560BAQH32RJQCl3dDQ/company-logo_200_200/B56ZYQ0mrGGoAM-/0/1744038948046/microsoft_logo?e=1759363200&v=beta&t=C3MQAkAtqP7LdomaKPpMMBEL92Zj44fhMPkd9i2By8M",
    "originalCoverImage": "https://media.licdn.com/dms/image/v2/D4E1BAQGylczuQmKXgg/company-background_200/company-background_200/0/1726517853866/microsoft_cover?e=1757322000&v=beta&t=q5aPkltgjO3YvNhVwPDi6j3b7WdQoY9T-9hKf7Qr5lY",
    "partnerLogo": null,
    "organizationType": {
      "name": "Public Company",
      "code": "PUBLIC_COMPANY"
    },
    "organizationTypeSelectors": [
      {
        "name": "Public Company",
        "code": "PUBLIC_COMPANY"
      },
      {
        "name": "Educational",
        "code": "EDUCATIONAL"
      },
      {
        "name": "Self Employed",
        "code": "SELF_EMPLOYED"
      },
      {
        "name": "Government Agency",
        "code": "GOVERNMENT_AGENCY"
      },
      {
        "name": "Non Profit",
        "code": "NON_PROFIT"
      },
      {
        "name": "Self Owned",
        "code": "SELF_OWNED"
      },
      {
        "name": "Privately Held",
        "code": "PRIVATELY_HELD"
      },
      {
        "name": "Partnership",
        "code": "PARTNERSHIP"
      }
    ],
    "acquirerCompany": null,
    "school": null,
    "pageVerification": {
      "verified": true,
      "lastModifiedAt": 1692137929441
    },
    "crunchbaseFundingData": {
      "numberOfFundingRounds": 2,
      "organizationUrl": "https://www.crunchbase.com/organization/microsoft?utm_source=linkedin&utm_medium=referral&utm_campaign=linkedin_companies&utm_content=profile_cta",
      "fundingRoundsUrl": "https://www.crunchbase.com/organization/microsoft/funding_rounds/funding_rounds_list?utm_source=linkedin&utm_medium=referral&utm_campaign=linkedin_companies&utm_content=all_fundings",
      "lastFundingRound": {
        "localizedFundingType": "Post IPO equity",
        "leadInvestors": [],
        "moneyRaised": null,
        "fundingRoundUrl": "https://www.crunchbase.com/funding_round/microsoft-post-ipo-equity--4404bead?utm_source=linkedin&utm_medium=referral&utm_campaign=linkedin_companies&utm_content=last_funding",
        "announcedOn": {
          "month": 12,
          "year": 2022,
          "day": 9
        },
        "numberOfOtherInvestors": 1,
        "investorsUrl": "https://www.crunchbase.com/funding_round/microsoft-post-ipo-equity--4404bead?utm_source=linkedin&utm_medium=referral&utm_campaign=linkedin_companies&utm_content=all_investors"
      }
    },
    "stockQuote": null,
    "followerCount": 26228643,
    "callToActionUrl": "http://news.microsoft.com/"
  },
  "insights": {
    "headcountInsights": {
      "growthPeriods": [
        {
          "monthDifference": 6,
          "changePercentage": -3
        },
        {
          "monthDifference": 12,
          "changePercentage": -4
        },
        {
          "monthDifference": 24,
          "changePercentage": -3
        }
      ],
      "totalEmployees": 229337,
      "headcounts": {
        "headcountGrowth": [
          {
            "startedOn": {
              "month": 8,
              "year": 2023,
              "day": 1
            },
            "employeeCount": 236060
          },
          {
            "startedOn": {
              "month": 9,
              "year": 2023,
              "day": 1
            },
            "employeeCount": 234559
          },
          {
            "startedOn": {
              "month": 10,
              "year": 2023,
              "day": 1
            },
            "employeeCount": 234489
          },
          {
            "startedOn": {
              "month": 11,
              "year": 2023,
              "day": 1
            },
            "employeeCount": 234734
          },
          {
            "startedOn": {
              "month": 12,
              "year": 2023,
              "day": 1
            },
            "employeeCount": 233729
          },
          {
            "startedOn": {
              "month": 1,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 234938
          },
          {
            "startedOn": {
              "month": 2,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 235436
          },
          {
            "startedOn": {
              "month": 3,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 235916
          },
          {
            "startedOn": {
              "month": 4,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 236785
          },
          {
            "startedOn": {
              "month": 5,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 239508
          },
          {
            "startedOn": {
              "month": 6,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 241124
          },
          {
            "startedOn": {
              "month": 7,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 241566
          },
          {
            "startedOn": {
              "month": 8,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 239777
          },
          {
            "startedOn": {
              "month": 9,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 239716
          },
          {
            "startedOn": {
              "month": 10,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 239532
          },
          {
            "startedOn": {
              "month": 11,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 239489
          },
          {
            "startedOn": {
              "month": 12,
              "year": 2024,
              "day": 1
            },
            "employeeCount": 238193
          },
          {
            "startedOn": {
              "month": 1,
              "year": 2025,
              "day": 1
            },
            "employeeCount": 238048
          },
          {
            "startedOn": {
              "month": 2,
              "year": 2025,
              "day": 1
            },
            "employeeCount": 237582
          },
          {
            "startedOn": {
              "month": 3,
              "year": 2025,
              "day": 1
            },
            "employeeCount": 236202
          },
          {
            "startedOn": {
              "month": 4,
              "year": 2025,
              "day": 1
            },
            "employeeCount": 235373
          },
          {
            "startedOn": {
              "month": 5,
              "year": 2025,
              "day": 1
            },
            "employeeCount": 235059
          },
          {
            "startedOn": {
              "month": 6,
              "year": 2025,
              "day": 1
            },
            "employeeCount": 234035
          },
          {
            "startedOn": {
              "month": 7,
              "year": 2025,
              "day": 1
            },
            "employeeCount": 231188
          },
          {
            "startedOn": {
              "month": 8,
              "year": 2025,
              "day": 1
            },
            "employeeCount": 229337
          }
        ],
        "medianTenureYears": {
          "textDirection": "USER_LOCALE",
          "text": "Median employee tenure ‧ 5.1 years",
          "attributesV2": [
            {
              "start": 25,
              "length": 9,
              "detailData": {
                "jobPostingName": null,
                "hyperlink": null,
                "profileFamiliarName": null,
                "color": null,
                "companyName": null,
                "icon": null,
                "epoch": null,
                "systemImage": null,
                "organizationalPageName": null,
                "textLink": null,
                "listItemStyle": null,
                "groupName": null,
                "hyperlinkOpenExternally": null,
                "listStyle": null,
                "profileFullName": null,
                "stringFieldReference": null,
                "learningCourseName": null,
                "profileMention": null,
                "style": "BOLD",
                "schoolName": null,
                "hashtag": null
              }
            }
          ],
          "accessibilityTextAttributesV2": [],
          "accessibilityText": null
        }
      }
    },
    "functionHeadcountInsights": {
      "latestHeadcountByFunction": {
        "countByFunction": [
          {
            "functionPercentage": 40,
            "functionCount": 92131,
            "function": {
              "entityUrn": "urn:li:fsd_function:8",
              "localizedName": "Engineering"
            }
          },
          {
            "functionPercentage": 12,
            "functionCount": 27470,
            "function": {
              "entityUrn": "urn:li:fsd_function:13",
              "localizedName": "Information Technology"
            }
          },
          {
            "functionPercentage": 8,
            "functionCount": 18240,
            "function": {
              "entityUrn": "urn:li:fsd_function:25",
              "localizedName": "Sales"
            }
          },
          {
            "functionPercentage": 8,
            "functionCount": 17600,
            "function": {
              "entityUrn": "urn:li:fsd_function:20",
              "localizedName": "Program and Project Management"
            }
          },
          {
            "functionPercentage": 4,
            "functionCount": 8668,
            "function": {
              "entityUrn": "urn:li:fsd_function:4",
              "localizedName": "Business Development"
            }
          },
          {
            "functionPercentage": 4,
            "functionCount": 8294,
            "function": {
              "entityUrn": "urn:li:fsd_function:19",
              "localizedName": "Product Management"
            }
          },
          {
            "functionPercentage": 4,
            "functionCount": 8075,
            "function": {
              "entityUrn": "urn:li:fsd_function:18",
              "localizedName": "Operations"
            }
          },
          {
            "functionPercentage": 2,
            "functionCount": 4688,
            "function": {
              "entityUrn": "urn:li:fsd_function:26",
              "localizedName": "Support"
            }
          },
          {
            "functionPercentage": 2,
            "functionCount": 4048,
            "function": {
              "entityUrn": "urn:li:fsd_function:24",
              "localizedName": "Research"
            }
          },
          {
            "functionPercentage": 2,
            "functionCount": 3470,
            "function": {
              "entityUrn": "urn:li:fsd_function:7",
              "localizedName": "Education"
            }
          },
          {
            "functionPercentage": 2,
            "functionCount": 3676,
            "function": {
              "entityUrn": "urn:li:fsd_function:6",
              "localizedName": "Consulting"
            }
          },
          {
            "functionPercentage": 2,
            "functionCount": 5586,
            "function": {
              "entityUrn": "urn:li:fsd_function:3",
              "localizedName": "Arts and Design"
            }
          },
          {
            "functionPercentage": 2,
            "functionCount": 4273,
            "function": {
              "entityUrn": "urn:li:fsd_function:2",
              "localizedName": "Administrative"
            }
          },
          {
            "functionPercentage": 2,
            "functionCount": 4511,
            "function": {
              "entityUrn": "urn:li:fsd_function:15",
              "localizedName": "Marketing"
            }
          },
          {
            "functionPercentage": 2,
            "functionCount": 3693,
            "function": {
              "entityUrn": "urn:li:fsd_function:12",
              "localizedName": "Human Resources"
            }
          }
        ],
        "totalCount": 229337,
        "yearMonthOn": {
          "month": 8,
          "year": 2025,
          "day": 1
        }
      },
      "headcountGrowthByFunction": [
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -7
            },
            {
              "monthDifference": 12,
              "changePercentage": -11
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:26",
            "localizedName": "Support"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -4
            },
            {
              "monthDifference": 12,
              "changePercentage": -5
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:25",
            "localizedName": "Sales"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": 2
            },
            {
              "monthDifference": 12,
              "changePercentage": -6
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:24",
            "localizedName": "Research"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -5
            },
            {
              "monthDifference": 12,
              "changePercentage": -6
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:20",
            "localizedName": "Program and Project Management"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": 0
            },
            {
              "monthDifference": 12,
              "changePercentage": -1
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:8",
            "localizedName": "Engineering"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -7
            },
            {
              "monthDifference": 12,
              "changePercentage": -16
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:7",
            "localizedName": "Education"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": 0
            },
            {
              "monthDifference": 12,
              "changePercentage": -1
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:6",
            "localizedName": "Consulting"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -4
            },
            {
              "monthDifference": 12,
              "changePercentage": -5
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:4",
            "localizedName": "Business Development"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -6
            },
            {
              "monthDifference": 12,
              "changePercentage": -6
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:3",
            "localizedName": "Arts and Design"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -12
            },
            {
              "monthDifference": 12,
              "changePercentage": -18
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:2",
            "localizedName": "Administrative"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -4
            },
            {
              "monthDifference": 12,
              "changePercentage": -6
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:19",
            "localizedName": "Product Management"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -3
            },
            {
              "monthDifference": 12,
              "changePercentage": -2
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:18",
            "localizedName": "Operations"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -4
            },
            {
              "monthDifference": 12,
              "changePercentage": -7
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:15",
            "localizedName": "Marketing"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -5
            },
            {
              "monthDifference": 12,
              "changePercentage": -5
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:13",
            "localizedName": "Information Technology"
          }
        },
        {
          "growthPeriods": [
            {
              "monthDifference": 6,
              "changePercentage": -7
            },
            {
              "monthDifference": 12,
              "changePercentage": -13
            }
          ],
          "function": {
            "entityUrn": "urn:li:fsd_function:12",
            "localizedName": "Human Resources"
          }
        }
      ]
    },
    "alumniInsights": {
      "alumni": [
        {
          "profileId": "ACoAAAXm4vMBXRDcbjY1TgtXtU9v_l1JpoHZ0aM",
          "profileUrl": "https://www.linkedin.com/in/ACoAAAXm4vMBXRDcbjY1TgtXtU9v_l1JpoHZ0aM",
          "title": "Jamal B.",
          "subtitle": "Senior Go to Market Strategy Lead - Enterprise Partner Services - EMEA at Microsoft ",
          "profilePicture": "https://media.licdn.com/dms/image/v2/D4D03AQGM46GTWom7mA/profile-displayphoto-shrink_800_800/B4DZSZ4EkdGkAc-/0/1737748401475?e=1759363200&v=beta&t=FNsQ-jSNatSqgcrlCBRqASAFSqTUY-AXzXDFONTQcVc",
          "exitedPosition": "Previously Senior Partner Azure Go to Market Lead - Central Europe Middle East & Africa (CEMA) at Microsoft "
        },
        {
          "profileId": "ACoAAC3Uyy4BbOQPVJ8uyvK97517uuk9pcPhMHo",
          "profileUrl": "https://www.linkedin.com/in/ACoAAC3Uyy4BbOQPVJ8uyvK97517uuk9pcPhMHo",
          "title": "Eric Kalin",
          "subtitle": "Group Vice President, North America Data Platform at Oracle ",
          "profilePicture": "https://media.licdn.com/dms/image/v2/D4E03AQHjsdU4d21qqg/profile-displayphoto-scale_200_200/B4EZfC1xVtG4Ag-/0/1751320566065?e=1759363200&v=beta&t=7AWsHh95xIFPzgM-9IoyPQqmzFpAyHrw7lNeBi7Zi34",
          "exitedPosition": "Previously Chief Data Officer - Manufacturing Operational Unit at Microsoft "
        },
        {
          "profileId": "ACoAAAQziuMBIm6n5w556l-JH0h4JWnbFwJLMBk",
          "profileUrl": "https://www.linkedin.com/in/ACoAAAQziuMBIm6n5w556l-JH0h4JWnbFwJLMBk",
          "title": "Mark Alcazar",
          "subtitle": "Fractional CTO at Fulcrion at Fulcrion ",
          "profilePicture": null,
          "exitedPosition": "Previously VP of Engineering at Microsoft "
        }
      ],
      "totalNumberOfAlumni": 217
    },
    "strategicPrioritiesAIQInsights": {
      "aiqInsights": [
        {
          "title": "Cloud and AI Infrastructure",
          "description": "Microsoft is heavily investing in cloud and AI infrastructure to meet the growing demand for AI services. This includes expanding datacenter locations and increasing server capacity."
        },
        {
          "title": "AI-Driven Transformation",
          "description": "Microsoft is focusing on AI-driven priorities, including integrating AI into its products and services to enhance productivity and innovation. This includes the introduction of Microsoft 365 Copilot, which combines AI with business data."
        }
      ],
      "sourcesV2": "microsoft.com • sec.gov",
      "generativeAIFeedbackEvent": {
        "genAIResponseSectionID": "strategic_priorities",
        "genAIRequestGuid": "yH6FNXW9RA6zJNKgt7mKbA==",
        "ucfContextUrn": "urn:li:ucfContextUrn:PAGES_COMPANY_AIQ_INSIGHTS"
      },
      "insightsText": null,
      "fallbackSourceText": null,
      "showFeedback": true
    },
    "hiresInsights": {
      "graphLabel": null,
      "totalHires": 13028,
      "hireCounts": [
        {
          "allEmployeeHireCount": 1947,
          "seniorHireCount": 0,
          "yearMonthOn": {
            "month": 2,
            "year": 2025,
            "day": 1
          }
        },
        {
          "allEmployeeHireCount": 1910,
          "seniorHireCount": 0,
          "yearMonthOn": {
            "month": 3,
            "year": 2025,
            "day": 1
          }
        },
        {
          "allEmployeeHireCount": 1892,
          "seniorHireCount": 0,
          "yearMonthOn": {
            "month": 4,
            "year": 2025,
            "day": 1
          }
        },
        {
          "allEmployeeHireCount": 3017,
          "seniorHireCount": 0,
          "yearMonthOn": {
            "month": 5,
            "year": 2025,
            "day": 1
          }
        },
        {
          "allEmployeeHireCount": 2152,
          "seniorHireCount": 0,
          "yearMonthOn": {
            "month": 6,
            "year": 2025,
            "day": 1
          }
        },
        {
          "allEmployeeHireCount": 2110,
          "seniorHireCount": 0,
          "yearMonthOn": {
            "month": 7,
            "year": 2025,
            "day": 1
          }
        }
      ],
      "seniorHires": [],
      "headcountAIQInsights": {
        "sourcesV2": "linkedin.com",
        "header": {
          "textDirection": "USER_LOCALE",
          "text": "",
          "attributesV2": [],
          "accessibilityTextAttributesV2": [],
          "accessibilityText": null
        },
        "generativeAIFeedbackEvent": {
          "genAIResponseSectionID": "headcount_insights",
          "genAIRequestGuid": "yH6FNXW9RA6zJNKgt7mKbA==",
          "ucfContextUrn": "urn:li:ucfContextUrn:PAGES_COMPANY_AIQ_INSIGHTS"
        },
        "aiqInsightsText": "Focus on engineering: The 'Engineering' department has maintained a stable headcount with a slight increase of 4% in job openings, indicating ongoing investment and potential growth in this area. Significant reduction in job openings: Overall job openings have decreased by 29% over the last three months, suggesting a potential slowdown in hiring or a shift in hiring strategy. Growth in human resources: The 'Human Resources' department has seen a dramatic increase in job openings by 940%, indicating a major initiative to strengthen HR capabilities, possibly to support future growth or restructuring. Decline in customer success and support: The 'Customer Success and Support' department has experienced an 11% decrease in headcount over the past year, which may indicate a shift in focus or efficiency improvements in this area.",
        "showFeedback": true
      },
      "totalNumberOfSeniorHires": 0,
      "growthPeriods": [
        {
          "growthLabel": "Company-wide",
          "monthDifference": 6,
          "changePercentage": 8
        }
      ]
    },
    "competitiveLandscapeAIQInsights": {
      "sourcesV2": "ask.com • tracxn.com",
      "subheader": {
        "textDirection": "USER_LOCALE",
        "text": "",
        "attributesV2": [],
        "accessibilityTextAttributesV2": [],
        "accessibilityText": null
      },
      "generativeAIFeedbackEvent": {
        "genAIResponseSectionID": "competitive_landscape",
        "genAIRequestGuid": "yH6FNXW9RA6zJNKgt7mKbA==",
        "ucfContextUrn": "urn:li:ucfContextUrn:PAGES_COMPANY_AIQ_INSIGHTS"
      },
      "companyEntityCards": [
        {
          "insight": "1 company alum works here",
          "title": "CENSUS",
          "subtitle": "Computer and Network Security",
          "caption": "51-200 employees",
          "navigationUrl": "https://www.linkedin.com/company/census/",
          "logoUrl": "https://media.licdn.com/dms/image/v2/D4D0BAQGGf3D_3uVAOg/company-logo_400_400/company-logo_400_400/0/1730990975824/census_logo?e=1759363200&v=beta&t=utG1VjbF_anPuq2vt383efCggqMxxxojoYuhsKTuwi0",
          "companyName": "CENSUS",
          "companyUrl": "https://www.linkedin.com/company/census/"
        },
        {
          "insight": null,
          "title": "Software AG",
          "subtitle": "Software Development",
          "caption": "501-1,000 employees",
          "navigationUrl": "https://www.linkedin.com/company/software-ag/",
          "logoUrl": "https://media.licdn.com/dms/image/v2/C4E0BAQGeaazUDiNLuw/company-logo_400_400/company-logo_400_400/0/1644838132123/software_ag_logo?e=1759363200&v=beta&t=12wWY6iT07VtyWxfyvIIBFisGXpnTms48aaX9Zwsj60",
          "companyName": "Software AG",
          "companyUrl": "https://www.linkedin.com/company/software-ag/"
        },
        {
          "insight": null,
          "title": "CData Software",
          "subtitle": "Software Development",
          "caption": "201-500 employees",
          "navigationUrl": "https://www.linkedin.com/company/cdatasoftware/",
          "logoUrl": "https://media.licdn.com/dms/image/v2/C4D0BAQERj3kSs4Yq1A/company-logo_400_400/company-logo_400_400/0/1631341724244?e=1759363200&v=beta&t=A19x2-rQlReOr9sJ7_8bZKy5NrVTvy8hPQpk0JJlDWI",
          "companyName": "CData Software",
          "companyUrl": "https://www.linkedin.com/company/cdatasoftware/"
        }
      ],
      "fallbackSourceText": null,
      "aiqInsightsText": "Microsoft operates in a highly competitive technology landscape, continuously innovating across various sectors including cloud computing, AI, and software solutions. The company's commitment to innovation and its diverse product portfolio, such as Azure, Microsoft 365, and Xbox, help it maintain a competitive edge. However, it faces significant competition from other tech giants and specialized software companies.",
      "showFeedback": true
    }
  },
  "employees": [
    {
      "profile_id": "ACoAAAD0Q34BIRa9WvF_jH9dyyt0lddZg-95lis",
      "entity_urn": "urn:li:fsd_profile:ACoAAAD0Q34BIRa9WvF_jH9dyyt0lddZg-95lis",
      "public_identifier": "fátima-lópez-morales-marketingleader-centraleurope",
      "first_name": "Fátima",
      "last_name": "López Morales",
      "full_name": "Fátima López Morales",
      "headline": "Marketing Director Central Europe",
      "location": "",
      "profile_picture_url": null,
      "profile_url": "https://www.linkedin.com/in/fátima-lópez-morales-marketingleader-centraleurope",
      "is_premium": false,
      "is_influencer": false,
      "is_accessible": true,
      "company_id": "1035",
      "scraped_at": "2025-09-01T10:31:04.846808",
      "scraped_at_timestamp": 1756715464
    },
    {
      "profile_id": "ACoAABPlIBgBOowvHyyxbRAUwLhA3XSu4A1HD9s",
      "entity_urn": "urn:li:fsd_profile:ACoAABPlIBgBOowvHyyxbRAUwLhA3XSu4A1HD9s",
      "public_identifier": "danielzuegner",
      "first_name": "Daniel",
      "last_name": "Zuegner",
      "full_name": "Daniel Zuegner",
      "headline": "Senior Researcher @ Microsoft Research AI for Science Berlin",
      "location": "",
      "profile_picture_url": "https://media.licdn.com/dms/image/v2/D4E03AQH1KG46O_-Dng/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1702109267615?e=1759363200&v=beta&t=oAQwR6di5qtMSaxLoTkiroUdVyn1TCmKknnKdtHrmWA",
      "profile_url": "https://www.linkedin.com/in/danielzuegner",
      "is_premium": false,
      "is_influencer": false,
      "is_accessible": true,
      "company_id": "1035",
      "scraped_at": "2025-09-01T10:31:04.846808",
      "scraped_at_timestamp": 1756715464
    },
    // more employee profiles
  ]
}

💰 Pricing

Pay-Per-Event Model: You only pay for what you use.

Event	Description	Price
Start	Actor initialization	$0.25
Company Scraped	Per company processed	$0.50
Insights Fetched	Premium insights data	$1.00
Employee Profiles (mostly REAL names)	Per employee extracted (max. ~1500)	$0.005

Example Pricing

• 1 company without scraping employees: ~$1.75
• 1 company with > 100 employees: ~$2.25
• 10 companies with 10-100 employees: ~$25.00

Free Tier

• Free users: Limited to 1 company per month for free
• Paid users: Unlimited companies

🔌 API Integration

Python Example

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("YOUR_API_TOKEN")

# Prepare the Actor input
run_input = {
    "companyUrls": [
        "https://www.linkedin.com/company/microsoft",
        "https://www.linkedin.com/company/google"
    ]
}

# Run the Actor and wait for it to finish
run = client.actor("YOUR_ACTOR_ID").call(run_input=run_input)

# Fetch results from the dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"Company: {item.get('name')}")
    print(f"Industry: {item.get('industry')}")
    print(f"Employees: {item.get('employeeCount')}")

JavaScript Example

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your API token
const client = new ApifyClient({
    token: 'YOUR_API_TOKEN',
});

// Prepare Actor input
const input = {
    companyUrls: [
        'https://www.linkedin.com/company/microsoft',
        'https://www.linkedin.com/company/google'
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor('YOUR_ACTOR_ID').call(input);

// Fetch and process Actor results
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.log(`Company: ${item.name}`);
    console.log(`Industry: ${item.industry}`);
});

🎯 Use Cases

Market Research

• Analyze competitor workforce composition
• Track industry hiring trends
• Monitor company growth patterns
• Benchmark organizational structures

Sales & Lead Generation

• Identify decision makers and key contacts
• Build targeted prospect lists
• Understand organizational hierarchies
• Track company expansion signals

Recruitment & Talent Acquisition

• Map talent pools at target companies
• Identify passive candidates
• Analyze skill distributions
• Track employee movement patterns

Investment Research

• Evaluate company growth trajectories
• Assess management team strength
• Monitor expansion into new markets
• Track key personnel changes

❓ Frequently Asked Questions

Q: Do I need LinkedIn cookies? A: No, the Actor requires no LinkedIn authentication cookies.

Q: How many companies can I scrape? A: Free users can scrape up to 1 company per month. Paid users have no limits.

Q: Is the data real-time? A: Yes, all data is fetched directly from LinkedIn at the time of scraping.

Q: What data is included? A: Company information, premium insights, employee demographics, growth metrics, and more.

Q: How fast is the scraping? A: Super fast. Typically processes multiple companies within a few seconds.

🚀 Getting Started

1. Sign up for an Apify account
2. Navigate to the Actor page in the Apify Store
3. Configure your input parameters
4. Run the Actor
5. Download or integrate results via API

Prerequisites

• Apify account (free tier available)
• Company LinkedIn URLs

🔗 Combine with Bulk Employee Scraper

Want to extract detailed employee profiles for the companies you've analyzed? Use our companion actor LinkedIn Employees & People Scraper to get thousands of employee profiles at once!

Python Example - Company Insights + Employee Discovery

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("YOUR_API_TOKEN")

# Step 1: Get company insights
insights_run = client.actor("YOUR_ACTOR_ID").call(run_input={
    "companyUrls": ["https://www.linkedin.com/company/stripe"]
})

# Fetch company insights
company_data = None
for item in client.dataset(insights_run["defaultDatasetId"]).iterate_items():
    company_data = item
    print(f"Company: {company_data.get('name')}")
    print(f"Employee Count: {company_data.get('employeeCount')}")
    break

# Step 2: Get detailed employee profiles using the bulk scraper
if company_data:
    employees_run = client.actor("clearpath/linkedin-employees-people-scraper").call(run_input={
        "companyUrls": ["https://www.linkedin.com/company/stripe"],
        "maxItems": 5000  # Get up to 5000 employees
    })
    
    # Process employee data
    for item in client.dataset(employees_run["defaultDatasetId"]).iterate_items():
        print(f"\nFound {len(item['employees'])} employees at {item['company']['name']}")
        
        # Analyze by department
        engineers = [e for e in item['employees'] if 'engineer' in e.get('headline', '').lower()]
        sales = [e for e in item['employees'] if 'sales' in e.get('headline', '').lower()]
        
        print(f"  Engineers: {len(engineers)}")
        print(f"  Sales: {len(sales)}")
        
        # Show sample employees
        for employee in item['employees'][:5]:
            print(f"  - {employee['full_name']}: {employee['headline']}")

JavaScript Example - Company Insights + Employee Discovery

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your API token
const client = new ApifyClient({
    token: 'YOUR_API_TOKEN',
});

// Step 1: Get company insights
const insightsRun = await client.actor('YOUR_ACTOR_ID').call({
    companyUrls: ['https://www.linkedin.com/company/stripe']
});

// Fetch company insights
const { items: companyItems } = await client.dataset(insightsRun.defaultDatasetId).listItems();
const companyData = companyItems[0];

console.log(`Company: ${companyData.name}`);
console.log(`Employee Count: ${companyData.employeeCount}`);

// Step 2: Get detailed employee profiles using the bulk scraper
if (companyData) {
    const employeesRun = await client.actor('clearpath/linkedin-employees-people-scraper').call({
        companyUrls: ['https://www.linkedin.com/company/stripe'],
        maxItems: 5000  // Get up to 5000 employees
    });
    
    // Process employee data
    const { items: employeeItems } = await client.dataset(employeesRun.defaultDatasetId).listItems();
    
    employeeItems.forEach(item => {
        console.log(`\nFound ${item.employees.length} employees at ${item.company.name}`);
        
        // Analyze by department
        const engineers = item.employees.filter(e => 
            e.headline?.toLowerCase().includes('engineer')
        );
        const sales = item.employees.filter(e => 
            e.headline?.toLowerCase().includes('sales')
        );
        
        console.log(`  Engineers: ${engineers.length}`);
        console.log(`  Sales: ${sales.length}`);
        
        // Show sample employees
        item.employees.slice(0, 5).forEach(employee => {
            console.log(`  - ${employee.full_name}: ${employee.headline}`);
        });
    });
}

Benefits of Combining Both Actors

• Complete Company Analysis: Get both high-level insights and detailed employee data
• Cost-Effective: The bulk employee scraper is optimized for scale (only $0.002 per employee)
• Comprehensive Dataset: Company metrics + up to 26,000 employee profiles
• Pipeline Ready: Use company URLs from this actor to feed the employee scraper

🔍 Deep Dive with Profile Details Scraper

Need comprehensive details on key executives or specific employees? Our LinkedIn Profile Scraper extracts complete profile data including ALL skills, full work history, activities, and more!

Python Example - Company Insights + Deep Profile Analysis

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("YOUR_API_TOKEN")

# Step 1: Get company insights and identify key employees
insights_run = client.actor("YOUR_ACTOR_ID").call(run_input={
    "companyUrls": ["https://www.linkedin.com/company/microsoft"]
})

# Extract key employees from company data
key_profiles = []
for item in client.dataset(insights_run["defaultDatasetId"]).iterate_items():
    # Get executives from employee profiles (if available)
    employees = item.get('employees', [])
    executives = [e for e in employees if any(
        title in e.get('headline', '').lower() 
        for title in ['ceo', 'cto', 'vp', 'director', 'head of']
    )]
    
    # Collect profile URLs
    for exec in executives[:5]:  # Top 5 executives
        if exec.get('profile_url'):
            key_profiles.append(exec['profile_url'])
            print(f"Found executive: {exec.get('full_name')} - {exec.get('headline')}")

# Step 2: Get deep profile details for key employees
if key_profiles:
    profiles_run = client.actor("clearpath/linkedin-profile-scraper").call(run_input={
        "profileUrls": key_profiles,
        "fetchActivity": True  # Get posts, articles, etc.
    })
    
    # Analyze detailed profiles
    for profile in client.dataset(profiles_run["defaultDatasetId"]).iterate_items():
        details = profile.get('profile_details', {})
        print(f"\n=== {details.get('first_name')} {details.get('last_name')} ===")
        print(f"Headline: {details.get('headline')}")
        print(f"Followers: {details.get('follower_count'):,}")
        
        # Show all skills (not just visible 3-5)
        skills = profile.get('skills', [])
        print(f"Total Skills: {len(skills)}")
        top_skills = sorted(skills, key=lambda x: x.get('endorsement_count', 0), reverse=True)[:5]
        for skill in top_skills:
            print(f"  - {skill['name']}: {skill.get('endorsement_count', 0)} endorsements")
        
        # Show recent activity
        activities = profile.get('activities', {})
        posts = activities.get('posts', [])
        if posts:
            print(f"Recent Posts: {len(posts)}")
            recent_post = posts[0]
            print(f"  Latest: {recent_post.get('text', '')[:100]}...")

JavaScript Example - Company Insights + Deep Profile Analysis

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your API token
const client = new ApifyClient({
    token: 'YOUR_API_TOKEN',
});

// Step 1: Get company insights and identify key employees
const insightsRun = await client.actor('YOUR_ACTOR_ID').call({
    companyUrls: ['https://www.linkedin.com/company/microsoft']
});

// Extract key employees from company data
const { items: companyItems } = await client.dataset(insightsRun.defaultDatasetId).listItems();
const companyData = companyItems[0];
const keyProfiles = [];

// Get executives from employee profiles (if available)
const employees = companyData.employees || [];
const executives = employees.filter(e => {
    const headline = (e.headline || '').toLowerCase();
    return ['ceo', 'cto', 'vp', 'director', 'head of'].some(title => headline.includes(title));
});

// Collect profile URLs
executives.slice(0, 5).forEach(exec => {
    if (exec.profile_url) {
        keyProfiles.push(exec.profile_url);
        console.log(`Found executive: ${exec.full_name} - ${exec.headline}`);
    }
});

// Step 2: Get deep profile details for key employees
if (keyProfiles.length > 0) {
    const profilesRun = await client.actor('clearpath/linkedin-profile-scraper').call({
        profileUrls: keyProfiles,
        fetchActivity: true  // Get posts, articles, etc.
    });
    
    // Analyze detailed profiles
    const { items: profiles } = await client.dataset(profilesRun.defaultDatasetId).listItems();
    
    profiles.forEach(profile => {
        const details = profile.profile_details || {};
        console.log(`\n=== ${details.first_name} ${details.last_name} ===`);
        console.log(`Headline: ${details.headline}`);
        console.log(`Followers: ${details.follower_count?.toLocaleString()}`);
        
        // Show all skills (not just visible 3-5)
        const skills = profile.skills || [];
        console.log(`Total Skills: ${skills.length}`);
        const topSkills = skills
            .sort((a, b) => (b.endorsement_count || 0) - (a.endorsement_count || 0))
            .slice(0, 5);
        
        topSkills.forEach(skill => {
            console.log(`  - ${skill.name}: ${skill.endorsement_count || 0} endorsements`);
        });
        
        // Show recent activity
        const activities = profile.activities || {};
        const posts = activities.posts || [];
        if (posts.length > 0) {
            console.log(`Recent Posts: ${posts.length}`);
            const recentPost = posts[0];
            console.log(`  Latest: ${(recentPost.text || '').substring(0, 100)}...`);
        }
    });
}

Benefits of Using Profile Details Scraper

• Complete Skills Extraction: Get ALL 50+ skills with endorsements, not just the visible 3-5
• Full Activity History: Extract 100+ posts, comments, videos, articles, and events
• Deep Experience Mining: Complete job descriptions and nested company positions
• Comprehensive Sections: Volunteer work, languages, honors, courses, publications
• Real-time Data: Up-to-the-second information directly from LinkedIn

Powerful Three-Actor Pipeline

Combine all three actors for maximum LinkedIn intelligence:

1. Company Insights (this actor) → Company metrics and overview
2. Bulk Employee Scraper → Thousands of employee profiles quickly
3. Profile Details Scraper → Deep dive into key individuals

This pipeline gives you a complete 360° view of any organization!

Support

• 📧 Email: max@mapa.slmail.me
• 📖 Found a bug?: Use the issues tab and describe your issue
• 🔧 Feature Requests: Contact via email or issues tab for additional features
• 🔧 Custom solutions: Available for enterprise customers

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Ready to extract LinkedIn Company Insights? 🚀 Try it now