LinkedIn Company Scraper — Details & Posts (No Cookies)

LinkedIn Company Scraper — Details & Posts ✅ No Cookies

Extract structured LinkedIn company data — name, tagline, about, website, industry, size, follower count, HQ, all office locations, specialties, sample employees and recent posts — from a single company URL. Powered by the Neuralverge API. No cookies or account required, and you only pay for companies we actually find.

Ideal for lead generation, market and competitor research, CRM enrichment, and feeding company data to AI agents.

✨ Why this Actor

• 💸 Pay per the companies you get — unresolved URLs are skipped and never billed. A miss costs only the $0.005 lookup fee — no empty, billable result rows.
• 🍪 No cookies, login or account — never share LinkedIn credentials or risk account restrictions. Extraction runs on the Neuralverge backend.
• 🏢 Full firmographics — size, followers, founded year, HQ, every office location, specialties, sample employees and posts, in one structured object.
• ⚡ Real-time & structured — fresh data each run and one predictable JSON schema, ready for a spreadsheet, database, CRM or AI pipeline.

🔧 How it works

1. Provide a LinkedIn company URL (e.g. https://www.linkedin.com/company/ibm).
2. Run the Actor. The heavy lifting — fetching and AI-structuring the profile — happens on the Neuralverge backend.
3. Get one dataset row per company — the source url, the extraction settings (including the JSON schema at settings.extract_schema_json) and the structured machine object. Export to CSV, JSON or Excel, or pull it over the Apify API.

If the company can't be resolved, it's logged and skipped without charge — you're not billed for that run.

Input

One company per run.

Field	Type	Notes
linkedinUrl	string	The LinkedIn company profile URL.

{
  "linkedinUrl": "https://www.linkedin.com/company/ibm"
}

What you'll receive

Each dataset row mirrors the Neuralverge system output and has three top-level blocks:

• url — the company profile URL you submitted.
• settings — the extraction settings, including the full JSON schema used, at settings.extract_schema_json.
• machine — the structured result: company_name, tagline, about, website, linkedin_url, industry, company_size, employee_count, founded_year, follower_count, headquarters, the full locations array, specialties, sample employees, open jobs and recent posts.

Nulls & empty arrays are normal. Only fields present on the live profile are filled — e.g. tagline, founded_year and employee_count can be null, and jobs may come back as an empty array even for a large company. company_size is the raw range string as shown on LinkedIn (localized to the profile's region).

Example output (real run)

A real dataset row from https://il.linkedin.com/company/ibm, shown in full — including the complete extraction schema (settings.extract_schema_json) and the full machine-readable result (machine). The human markdown summary is produced by the system but omitted from the dataset.

{
  "url": "https://il.linkedin.com/company/ibm",
  "settings": {
    "has_schema": true,
    "country_code": "us",
    "extract_schema_json": {
      "type": "object",
      "properties": {
        "company_name": {
          "type": "string",
          "description": "The official name of the company."
        },
        "tagline": {
          "type": "string",
          "description": "The company's slogan or a brief one-line description found under the company name."
        },
        "about": {
          "type": "string",
          "description": "The full text from the 'About' section of the company profile."
        },
        "website": {
          "type": "string",
          "format": "uri",
          "description": "The official website URL of the company."
        },
        "linkedin_url": {
          "type": "string",
          "format": "uri",
          "description": "The LinkedIn company profile URL."
        },
        "industry": {
          "type": "string",
          "description": "The primary industry the company operates in."
        },
        "company_size": {
          "type": "string",
          "description": "The range of employees in the company (e.g., '51-200 employees')."
        },
        "employee_count": {
          "type": "integer",
          "description": "The exact number of employees if available."
        },
        "headquarters": {
          "type": "object",
          "description": "The primary office or headquarters location.",
          "properties": {
            "city": {
              "type": "string"
            },
            "state": {
              "type": "string"
            },
            "country": {
              "type": "string"
            },
            "full_address": {
              "type": "string",
              "description": "The full address of the headquarters."
            }
          }
        },
        "founded_year": {
          "type": "integer",
          "description": "The year the company was founded."
        },
        "specialties": {
          "type": "array",
          "description": "A list of the company's specialties or areas of expertise.",
          "items": {
            "type": "string"
          }
        },
        "follower_count": {
          "type": "integer",
          "description": "The total number of followers the company has on LinkedIn."
        },
        "locations": {
          "type": "array",
          "description": "A list of all company office locations mentioned on the profile.",
          "items": {
            "type": "object",
            "properties": {
              "address": {
                "type": "string",
                "description": "The full street address of the office location."
              },
              "city": {
                "type": "string"
              },
              "state": {
                "type": "string"
              },
              "country": {
                "type": "string"
              }
            }
          }
        },
        "employees": {
          "type": "array",
          "description": "List of employees associated with the company.",
          "items": {
            "type": "object",
            "properties": {
              "employee_id": {
                "type": "string",
                "description": "Unique identifier of the employee if available."
              },
              "full_name": {
                "type": "string",
                "description": "Employee full name."
              },
              "linkedin_url": {
                "type": "string",
                "format": "uri",
                "description": "Link to the employee LinkedIn profile."
              }
            },
            "required": [
              "full_name"
            ]
          }
        },
        "jobs": {
          "type": "array",
          "description": "A list of currently open job positions advertised on the company's LinkedIn page.",
          "items": {
            "type": "object",
            "properties": {
              "title": {
                "type": "string",
                "description": "The title of the job position."
              },
              "location": {
                "type": "string",
                "description": "The location of the job."
              },
              "employment_type": {
                "type": "string",
                "description": "Full-time, Part-time, Contract, Internship, etc."
              },
              "posted_date": {
                "type": "string",
                "format": "date-time",
                "description": "Date when the job was posted."
              },
              "url": {
                "type": "string",
                "format": "uri",
                "description": "A direct link to the job posting."
              }
            },
            "required": [
              "title"
            ]
          }
        },
        "posts": {
          "type": "array",
          "description": "Posts published by the company on LinkedIn.",
          "items": {
            "type": "object",
            "properties": {
              "post_id": {
                "type": "string",
                "description": "Unique post identifier."
              },
              "url": {
                "type": "string",
                "format": "uri",
                "description": "Direct URL to the post."
              },
              "published_at": {
                "type": "string",
                "format": "date-time",
                "description": "Date and time when the post was published."
              },
              "author": {
                "type": "string",
                "description": "Author or company account that published the post."
              },
              "content": {
                "type": "string",
                "description": "Full text content of the post."
              },
              "hashtags": {
                "type": "array",
                "items": {
                  "type": "string"
                },
                "description": "Hashtags used in the post."
              },
              "mentions": {
                "type": "array",
                "items": {
                  "type": "string"
                },
                "description": "Mentioned users, companies, or organizations."
              },
              "media": {
                "type": "array",
                "description": "Attached media assets.",
                "items": {
                  "type": "object",
                  "properties": {
                    "type": {
                      "type": "string",
                      "enum": [
                        "image",
                        "video",
                        "document",
                        "link",
                        "carousel"
                      ]
                    },
                    "url": {
                      "type": "string",
                      "format": "uri"
                    }
                  }
                }
              },
              "engagement": {
                "type": "object",
                "properties": {
                  "likes": {
                    "type": "integer"
                  },
                  "comments": {
                    "type": "integer"
                  },
                  "reposts": {
                    "type": "integer"
                  },
                  "shares": {
                    "type": "integer"
                  }
                }
              }
            },
            "required": [
              "post_id",
              "content"
            ]
          }
        }
      },
      "required": [
        "company_name"
      ]
    }
  },
  "machine": {
    "company_name": "IBM",
    "tagline": null,
    "about": "At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you.\nWe're here to help every creator turn their \"what if\" into what is. Let's create something that will change everything.",
    "website": "http://www.ibm.com",
    "linkedin_url": "https://il.linkedin.com/company/ibm",
    "industry": "IT Services and IT Consulting",
    "company_size": "10,001+ עובדים",
    "employee_count": null,
    "headquarters": {
      "city": "Armonk",
      "state": "New York, NY",
      "country": "US",
      "full_address": "International Business Machines Corp., New Orchard Road, Armonk, New York, NY 10504, US"
    },
    "founded_year": null,
    "specialties": [
      "IBM Cognos Analytics",
      "Business Intelligence (BI) Software",
      "IBM SPSS Statistics",
      "Statistical Analysis Software"
    ],
    "follower_count": 19762153,
    "locations": [
      {
        "address": "International Business Machines Corp., New Orchard Road",
        "city": "Armonk",
        "state": "New York, NY",
        "country": "US"
      },
      {
        "address": "590 Madison Ave",
        "city": "New York",
        "state": "NY",
        "country": "US"
      },
      {
        "address": "90 Grayston Dr",
        "city": "Sandton",
        "state": "Gauteng 2196",
        "country": "ZA"
      },
      {
        "address": "Plaza Independencia 721",
        "city": "Montevideo",
        "state": "11000",
        "country": "UY"
      },
      {
        "address": "388 Phahon Yothin Road",
        "city": "Phaya Thai, Bangkok City 10400",
        "state": null,
        "country": "TH"
      },
      {
        "address": "Jalan Prof. Dr. Latumenten",
        "city": "Jakarta Barat",
        "state": "Jakarta 11330",
        "country": "ID"
      },
      {
        "address": "30 S 17th St",
        "city": "Philadelphia",
        "state": "PA 19103",
        "country": "US"
      },
      {
        "address": "60 City Rd",
        "city": "Melbourne",
        "state": "VIC 3006",
        "country": "AU"
      },
      {
        "address": "V Parku 2294/4",
        "city": "Prague",
        "state": "Prague 148 00",
        "country": "CZ"
      },
      {
        "address": "9 Changi Business Park Central 1",
        "city": "Singapore",
        "state": "Singapore 486048",
        "country": "SG"
      },
      {
        "address": "Via Sciangai",
        "city": "Rome",
        "state": "Laz. 00144",
        "country": "IT"
      },
      {
        "address": "Nahmitzer Damm 12",
        "city": "Berlin",
        "state": "BE 12277",
        "country": "DE"
      },
      {
        "address": "3031 N Rocky Point Dr W",
        "city": "Tampa",
        "state": "FL 33607",
        "country": "US"
      },
      {
        "address": "First Avenue",
        "city": "Petaling Jaya",
        "state": "Selangor 47800",
        "country": "MY"
      },
      {
        "address": "Laajalahdentie 23",
        "city": "Helsinki",
        "state": "Southern Finland 00330",
        "country": "FI"
      },
      {
        "address": "Carrera 53 100-25",
        "city": "Bogota",
        "state": "Bogota, D.C. 111111",
        "country": "CO"
      },
      {
        "address": "Presnenskaya naberezhnaya 10",
        "city": "Moscow",
        "state": "Central Federal District 123112",
        "country": "RU"
      },
      {
        "address": "3 Road",
        "city": "Dubai",
        "state": "Dubai",
        "country": "AE"
      },
      {
        "address": "71 S Wacker Dr",
        "city": "Chicago",
        "state": "IL 60606",
        "country": "US"
      },
      {
        "address": "50 Rue de Picpus",
        "city": "Paris",
        "state": "IdF 75012",
        "country": "FR"
      },
      {
        "address": "Mlynske nivy 16688/49",
        "city": "Bratislava",
        "state": "821 09",
        "country": "SK"
      },
      {
        "address": "Shuhada'A Street",
        "city": "Kuwait City",
        "state": "Kuwait City",
        "country": "KW"
      },
      {
        "address": "Vasant Kunj Road",
        "city": "Delhi",
        "state": "Delhi 110070",
        "country": "IN"
      },
      {
        "address": "Avenida Pasteur, 138",
        "city": "Rio de Janeiro",
        "state": "RJ 22290-240",
        "country": "BR"
      },
      {
        "address": "284 Leoforos Kifisias",
        "city": "Chalandri",
        "state": "Attica 152 32",
        "country": "GR"
      },
      {
        "address": "14212 Cochran Rd SW",
        "city": "Huntsville",
        "state": "AL 35824",
        "country": "US"
      },
      {
        "address": "Carretera al Castillo",
        "city": "El Salto",
        "state": "JAL 45680",
        "country": "MX"
      },
      {
        "address": "Calle de Corazon de Maria, 44",
        "city": "Madrid",
        "state": "Community of Madrid 28002",
        "country": "ES"
      },
      {
        "address": "Technicka 2995/21",
        "city": "Brno",
        "state": "South Moravia 612 00",
        "country": "CZ"
      },
      {
        "address": "150 Kettletown Rd",
        "city": "Southbury",
        "state": "CT 06488",
        "country": "US"
      },
      {
        "address": "601 Pacific Hwy",
        "city": "Sydney",
        "state": "NSW 2065",
        "country": "AU"
      },
      {
        "address": "505 Howard St",
        "city": "San Francisco",
        "state": "CA 94105",
        "country": "US"
      },
      {
        "address": "600 14th St NW",
        "city": "Washington",
        "state": "DC 20005",
        "country": "US"
      },
      {
        "address": "7100 Highlands Pkwy SE",
        "city": "Smyrna",
        "state": "GA 30082",
        "country": "US"
      },
      {
        "address": "1000 Belleview St",
        "city": "Dallas",
        "state": "TX 75215",
        "country": "US"
      },
      {
        "address": "3039 E Cornwallis Rd",
        "city": "Durham",
        "state": "NC 27709",
        "country": "US"
      },
      {
        "address": "Avenida Hipolito Yrigoyen 2149",
        "city": "Martinez",
        "state": "Buenos Aires 1640",
        "country": "AR"
      },
      {
        "address": "Soseaua Bucuresti-Ploiesti 1A",
        "city": "Bucharest",
        "state": "Bucharest",
        "country": "RO"
      },
      {
        "address": "Rodovia Jorn. Francisco Aguirre Proenca",
        "city": "Hortolandia",
        "state": "SP 13186-624",
        "country": "BR"
      },
      {
        "address": "B-19",
        "city": "Noida",
        "state": "Uttar Pradesh 201307",
        "country": "IN"
      },
      {
        "address": "Cairo Alexandria Desert Road",
        "city": "Sixth of October",
        "state": "Al Jizah",
        "country": "EG"
      }
    ],
    "employees": [
      {
        "full_name": "dave elovic",
        "linkedin_url": "https://www.linkedin.com/in/dave-elovic-5622"
      },
      {
        "full_name": "Tom Markiewicz",
        "linkedin_url": "https://www.linkedin.com/in/tmarkiewicz"
      },
      {
        "full_name": "Bill Lohr",
        "linkedin_url": "https://www.linkedin.com/in/blohr"
      },
      {
        "full_name": "Nancy Robertson",
        "linkedin_url": "https://ca.linkedin.com/in/nancy-robertson-1565"
      }
    ],
    "jobs": [],
    "posts": [
      {
        "post_id": null,
        "url": null,
        "published_at": null,
        "author": "IBM",
        "content": "When it comes to legacy content migration, Wimbledon just served up an ace. 🎾\nThis year, the All England Club used IBM Bob to drastically accelerate their legacy migration. See how a complex mapping job that normally requires months of work and several team members was completed in less than four weeks: https://ibm.co/6045EPiNt",
        "hashtags": [],
        "mentions": [
          "Wimbledon",
          "All England Club"
        ],
        "media": [],
        "engagement": null
      },
      {
        "post_id": null,
        "url": null,
        "published_at": null,
        "author": "IBM",
        "content": "Ensono transformed a process that once required conversations with 25 people into a single interaction with IBM Bob.\nThe result? Faster access to the information and data teams need to move work forward.\nExplore the opportunities IBM Bob could unlock for your business: https://ibm.co/6048EPQgY",
        "hashtags": [],
        "mentions": [
          "Ensono"
        ],
        "media": [],
        "engagement": null
      },
      {
        "post_id": null,
        "url": "https://www.linkedin.com/pulse/how-were-powering-ufc-insights-engine-ibm-xh5ce",
        "published_at": null,
        "author": "IBM",
        "content": "AI in Action | 2026 Edition 67: How we're powering the UFC Insights Engine\nAhead of tonight’s action during International Fight Week, we're showcasing how we're transforming the Ultimate Fighting Championship 's fight storytelling with AI.\nWant to learn more? Read now and subscribe ⤵\nHow we're powering the UFC Insights Engine IBM ב-LinkedIn",
        "hashtags": [],
        "mentions": [
          "Ultimate Fighting Championship",
          "UFC"
        ],
        "media": [],
        "engagement": null
      }
    ]
  }
}

Genuine output from a live run. Note the real-world gaps: tagline, founded_year and employee_count are null, and jobs came back empty — while all 41 office locations, 4 sample employees and 3 posts are populated.

Pricing

Pay per event — $0.005 per run, plus $0.005 per company ($5 per 1,000) returned to the dataset. A miss costs only the $0.005 lookup fee — you are never charged the per-result price for a row you did not get.

Event	Price
Lookup (per run)	$0.005
Company returned (per dataset row)	$0.005

Companies that can't be resolved are not charged the per-result price — only the $0.005 lookup fee applies. Pricing is on top of your Apify platform usage.

Free plan limits

Users on any paid Apify plan are not affected by anything in this section.

On the Apify Free plan all Neuralverge Actors share one budget, per user and per calendar month: 15 runs in total, at most 5 of them on this Actor, and 35 returned rows. A run that finds nothing still counts, because the lookup is performed either way. LinkedIn People Search is metered differently — one run there uses 25 of the 35 rows, because a full page of 25 profiles is bought upstream whether or not all of them are returned. When a limit is reached the Actor stops gracefully with a status message naming it; everything resets on the 1st of every month, and any paid Apify plan removes all of it.

Integrations & API

Results are stored in a standard Apify dataset — export as CSV, JSON, XML or Excel, or fetch on demand through the Apify API. The Actor also plugs into Apify's integrations (Make, Zapier, n8n, webhooks) and can be called from any MCP client to give an AI agent live company data.

FAQ

Do I need a LinkedIn account or cookies? No. Extraction runs on the Neuralverge backend — you never provide credentials or a session.

Am I charged if a company isn't found? No. You're billed only for rows returned to the dataset. Unresolved URLs are logged and skipped.

How fresh is the data? Each run fetches the profile at run time.

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Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners.