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, employees and recent posts — from a 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 only for the companies you get — unresolved URLs are skipped and never billed. Misses are free; no empty, billable 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, flattened into clean columns.
• ⚡ Real-time & structured — fresh data each run and one predictable 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, with all fields flattened to top-level columns. 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.
countryCode	string	Geo-routing code (advanced, default us).
finalizerModel	string	Extraction model (advanced).

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

What you'll receive

Each row includes, when available on the profile:

• Identity — company_name, tagline, about, website, linkedin_url
• Firmographics — industry, company_size, employee_count, founded_year, follower_count
• Locations — headquarters (city / state / country / full address) plus a flat headquartersText, and the full locations array (with locationsCount)
• Specialties — specialties array plus a flat specialtiesText
• Signals — employees (sample), jobs (open roles) and posts (recent activity), with employeesCount, jobsCount and postsCount helper columns
• Meta — query (input URL) and scrapedAt, the markdown summary under human, and the complete backend response under raw — which carries the machine-readable result at raw.machine and the extraction JSON Schema at raw.settings.extract_schema_json

Nulls & empty arrays are normal. Only fields present on the live profile are filled — e.g. tagline and founded_year can be null, and employees / jobs / posts may come back as empty arrays (LinkedIn does not always expose them) even for a large company. company_size is the raw range string as shown on LinkedIn (e.g. "10000+").

Example output (real run)

A real dataset row from https://il.linkedin.com/company/ibm, shown in full — including the complete extraction schema (raw.settings.extract_schema_json) and the full machine-readable result (raw.machine). The human markdown summary is omitted here only for brevity; it is returned on every real row.

{
  "query": "https://il.linkedin.com/company/ibm",
  "scrapedAt": "2026-07-18T12:00:00.000Z",
  "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.\n\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://www.linkedin.com/company/ibm",
  "industry": "IT Services and IT Consulting",
  "company_size": "10000+",
  "employee_count": 338814,
  "headquarters": {
    "city": "Armonk",
    "state": "New York",
    "country": "United States",
    "full_address": "International Business Machines Corp., New Orchard Road, Armonk, New York, NY 10504, US"
  },
  "founded_year": null,
  "specialties": [
    "Analytics",
    "Commerce",
    "Research",
    "Financing",
    "Consulting",
    "IT infrastructure",
    "Experience Design",
    "Cloud",
    "Security",
    "Internet of Things",
    "Mobile",
    "Cognitive",
    "Technology support",
    "Watson",
    "Industry solutions",
    "Resiliency services",
    "Systems services"
  ],
  "follower_count": 19737229,
  "locations": [
    {
      "address": "International Business Machines Corp., New Orchard Road, Armonk, New York, NY 10504, US",
      "city": "Armonk",
      "state": "New York",
      "country": "United States"
    },
    {
      "address": "590 Madison Ave, New York, NY 10022, US",
      "city": "New York",
      "state": "NY",
      "country": "United States"
    },
    {
      "address": "90 Grayston Dr, Sandton, Gauteng 2196, ZA",
      "city": "Sandton",
      "state": "Gauteng",
      "country": "South Africa"
    },
    {
      "address": "Plaza Independencia 721, Montevideo, 11000, UY",
      "city": "Montevideo",
      "state": "Montevideo",
      "country": "Uruguay"
    },
    {
      "address": "388 Phahon Yothin Road, Phaya Thai, Bangkok City 10400, TH",
      "city": "Phaya Thai",
      "state": "Bangkok City",
      "country": "Thailand"
    },
    {
      "address": "Jalan Prof. Dr. Latumenten, Jakarta Barat, Jakarta 11330, ID",
      "city": "Jakarta",
      "state": "Jakarta Barat",
      "country": "Indonesia"
    },
    {
      "address": "30 S 17th St, Philadelphia, PA 19103, US",
      "city": "Philadelphia",
      "state": "PA",
      "country": "United States"
    },
    {
      "address": "60 City Rd, Melbourne, VIC 3006, AU",
      "city": "Melbourne",
      "state": "VIC",
      "country": "Australia"
    },
    {
      "address": "V Parku 2294/4, Prague, Prague 148 00, CZ",
      "city": "Prague",
      "state": "Prague",
      "country": "Czech Republic"
    },
    {
      "address": "9 Changi Business Park Central 1, Singapore, Singapore 486048, SG",
      "city": "Singapore",
      "state": "Singapore",
      "country": "Singapore"
    },
    {
      "address": "Via Sciangai, Rome, Laz. 00144, IT",
      "city": "Rome",
      "state": "Laz.",
      "country": "Italy"
    },
    {
      "address": "Nahmitzer Damm 12, Berlin, BE 12277, DE",
      "city": "Berlin",
      "state": "BE",
      "country": "Germany"
    },
    {
      "address": "3031 N Rocky Point Dr W, Tampa, FL 33607, US",
      "city": "Tampa",
      "state": "FL",
      "country": "United States"
    },
    {
      "address": "First Avenue, Petaling Jaya, Selangor 47800, MY",
      "city": "Petaling Jaya",
      "state": "Selangor",
      "country": "Malaysia"
    },
    {
      "address": "Laajalahdentie 23, Helsinki, Southern Finland 00330, FI",
      "city": "Helsinki",
      "state": "Southern Finland",
      "country": "Finland"
    },
    {
      "address": "Carrera 53 100-25, Bogota, Bogota, D.C. 111111, CO",
      "city": "Bogota",
      "state": "Bogota, D.C.",
      "country": "Colombia"
    },
    {
      "address": "Presnenskaya naberezhnaya 10, Moscow, Central Federal District 123112, RU",
      "city": "Moscow",
      "state": "Central Federal District",
      "country": "Russia"
    },
    {
      "address": "3 Road, Dubai, Dubai, AE",
      "city": "Dubai",
      "state": "Dubai",
      "country": "United Arab Emirates"
    },
    {
      "address": "71 S Wacker Dr, Chicago, IL 60606, US",
      "city": "Chicago",
      "state": "IL",
      "country": "United States"
    },
    {
      "address": "50 Rue de Picpus, Paris, IdF 75012, FR",
      "city": "Paris",
      "state": "IdF",
      "country": "France"
    },
    {
      "address": "Mlynske nivy 16688/49, Bratislava, Bratislava 821 09, SK",
      "city": "Bratislava",
      "state": "Bratislava",
      "country": "Slovakia"
    },
    {
      "address": "Shuhada'A Street, Kuwait City, Kuwait City, KW",
      "city": "Kuwait City",
      "state": "Kuwait City",
      "country": "Kuwait"
    },
    {
      "address": "Vasant Kunj Road, Delhi, Delhi 110070, IN",
      "city": "Delhi",
      "state": "Delhi",
      "country": "India"
    },
    {
      "address": "Avenida Pasteur, 138, Rio de Janeiro, RJ 22290-240, BR",
      "city": "Rio de Janeiro",
      "state": "RJ",
      "country": "Brazil"
    },
    {
      "address": "284 Leoforos Kifisias, Chalandri, Attica 152 32, GR",
      "city": "Chalandri",
      "state": "Attica",
      "country": "Greece"
    },
    {
      "address": "14212 Cochran Rd SW, Huntsville, AL 35824, US",
      "city": "Huntsville",
      "state": "AL",
      "country": "United States"
    },
    {
      "address": "Carretera al Castillo, El Salto, JAL 45680, MX",
      "city": "El Salto",
      "state": "JAL",
      "country": "Mexico"
    },
    {
      "address": "Calle de Corazon de Maria, 44, Madrid, Community of Madrid 28002, ES",
      "city": "Madrid",
      "state": "Community of Madrid",
      "country": "Spain"
    },
    {
      "address": "Technicka 2995/21, Brno, South Moravia 612 00, CZ",
      "city": "Brno",
      "state": "South Moravia",
      "country": "Czechia"
    },
    {
      "address": "150 Kettletown Rd, Southbury, CT 06488, US",
      "city": "Southbury",
      "state": "CT",
      "country": "United States"
    },
    {
      "address": "601 Pacific Hwy, Sydney, NSW 2065, AU",
      "city": "Sydney",
      "state": "NSW",
      "country": "Australia"
    },
    {
      "address": "505 Howard St, San Francisco, CA 94105, US",
      "city": "San Francisco",
      "state": "CA",
      "country": "United States"
    },
    {
      "address": "600 14th St NW, Washington, DC 20005, US",
      "city": "Washington",
      "state": "DC",
      "country": "United States"
    },
    {
      "address": "7100 Highlands Pkwy SE, Smyrna, GA 30082, US",
      "city": "Smyrna",
      "state": "GA",
      "country": "United States"
    },
    {
      "address": "1000 Belleview St, Dallas, TX 75215, US",
      "city": "Dallas",
      "state": "TX",
      "country": "United States"
    }
  ],
  "employees": [],
  "jobs": [],
  "posts": [],
  "headquartersText": "Armonk, New York, United States",
  "specialtiesText": "Analytics, Commerce, Research, Financing, Consulting, IT infrastructure, Experience Design, Cloud, Security, Internet of Things, Mobile, Cognitive, Technology support, Watson, Industry solutions, Resiliency services, Systems services",
  "locationsCount": 35,
  "employeesCount": 0,
  "jobsCount": 0,
  "postsCount": 0,
  "raw": {
    "session_id": "db713e98-9387-408f-a633-b6461d5b9b87",
    "kind": "extract",
    "url": "https://il.linkedin.com/company/ibm",
    "used_url": "https://il.linkedin.com/company/ibm",
    "instructions": "Extract data from Linkedin company profile\n- Company name\n- Tagline\n- About\n- Website\n- Linkedin url\n- Industry\n- Company size\n- Employee count\n- Founded year\n- Follower count\n- Headquarters\n- Locations\n- Employees\n- Specialties\n- Jobs\n- Posts",
    "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.\n\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://www.linkedin.com/company/ibm",
      "industry": "IT Services and IT Consulting",
      "company_size": "10000+",
      "employee_count": 338814,
      "headquarters": {
        "city": "Armonk",
        "state": "New York",
        "country": "United States",
        "full_address": "International Business Machines Corp., New Orchard Road, Armonk, New York, NY 10504, US"
      },
      "founded_year": null,
      "specialties": [
        "Analytics",
        "Commerce",
        "Research",
        "Financing",
        "Consulting",
        "IT infrastructure",
        "Experience Design",
        "Cloud",
        "Security",
        "Internet of Things",
        "Mobile",
        "Cognitive",
        "Technology support",
        "Watson",
        "Industry solutions",
        "Resiliency services",
        "Systems services"
      ],
      "follower_count": 19737229,
      "locations": [
        {
          "address": "International Business Machines Corp., New Orchard Road, Armonk, New York, NY 10504, US",
          "city": "Armonk",
          "state": "New York",
          "country": "United States"
        },
        {
          "address": "590 Madison Ave, New York, NY 10022, US",
          "city": "New York",
          "state": "NY",
          "country": "United States"
        },
        {
          "address": "90 Grayston Dr, Sandton, Gauteng 2196, ZA",
          "city": "Sandton",
          "state": "Gauteng",
          "country": "South Africa"
        },
        {
          "address": "Plaza Independencia 721, Montevideo, 11000, UY",
          "city": "Montevideo",
          "state": "Montevideo",
          "country": "Uruguay"
        },
        {
          "address": "388 Phahon Yothin Road, Phaya Thai, Bangkok City 10400, TH",
          "city": "Phaya Thai",
          "state": "Bangkok City",
          "country": "Thailand"
        },
        {
          "address": "Jalan Prof. Dr. Latumenten, Jakarta Barat, Jakarta 11330, ID",
          "city": "Jakarta",
          "state": "Jakarta Barat",
          "country": "Indonesia"
        },
        {
          "address": "30 S 17th St, Philadelphia, PA 19103, US",
          "city": "Philadelphia",
          "state": "PA",
          "country": "United States"
        },
        {
          "address": "60 City Rd, Melbourne, VIC 3006, AU",
          "city": "Melbourne",
          "state": "VIC",
          "country": "Australia"
        },
        {
          "address": "V Parku 2294/4, Prague, Prague 148 00, CZ",
          "city": "Prague",
          "state": "Prague",
          "country": "Czech Republic"
        },
        {
          "address": "9 Changi Business Park Central 1, Singapore, Singapore 486048, SG",
          "city": "Singapore",
          "state": "Singapore",
          "country": "Singapore"
        },
        {
          "address": "Via Sciangai, Rome, Laz. 00144, IT",
          "city": "Rome",
          "state": "Laz.",
          "country": "Italy"
        },
        {
          "address": "Nahmitzer Damm 12, Berlin, BE 12277, DE",
          "city": "Berlin",
          "state": "BE",
          "country": "Germany"
        },
        {
          "address": "3031 N Rocky Point Dr W, Tampa, FL 33607, US",
          "city": "Tampa",
          "state": "FL",
          "country": "United States"
        },
        {
          "address": "First Avenue, Petaling Jaya, Selangor 47800, MY",
          "city": "Petaling Jaya",
          "state": "Selangor",
          "country": "Malaysia"
        },
        {
          "address": "Laajalahdentie 23, Helsinki, Southern Finland 00330, FI",
          "city": "Helsinki",
          "state": "Southern Finland",
          "country": "Finland"
        },
        {
          "address": "Carrera 53 100-25, Bogota, Bogota, D.C. 111111, CO",
          "city": "Bogota",
          "state": "Bogota, D.C.",
          "country": "Colombia"
        },
        {
          "address": "Presnenskaya naberezhnaya 10, Moscow, Central Federal District 123112, RU",
          "city": "Moscow",
          "state": "Central Federal District",
          "country": "Russia"
        },
        {
          "address": "3 Road, Dubai, Dubai, AE",
          "city": "Dubai",
          "state": "Dubai",
          "country": "United Arab Emirates"
        },
        {
          "address": "71 S Wacker Dr, Chicago, IL 60606, US",
          "city": "Chicago",
          "state": "IL",
          "country": "United States"
        },
        {
          "address": "50 Rue de Picpus, Paris, IdF 75012, FR",
          "city": "Paris",
          "state": "IdF",
          "country": "France"
        },
        {
          "address": "Mlynske nivy 16688/49, Bratislava, Bratislava 821 09, SK",
          "city": "Bratislava",
          "state": "Bratislava",
          "country": "Slovakia"
        },
        {
          "address": "Shuhada'A Street, Kuwait City, Kuwait City, KW",
          "city": "Kuwait City",
          "state": "Kuwait City",
          "country": "Kuwait"
        },
        {
          "address": "Vasant Kunj Road, Delhi, Delhi 110070, IN",
          "city": "Delhi",
          "state": "Delhi",
          "country": "India"
        },
        {
          "address": "Avenida Pasteur, 138, Rio de Janeiro, RJ 22290-240, BR",
          "city": "Rio de Janeiro",
          "state": "RJ",
          "country": "Brazil"
        },
        {
          "address": "284 Leoforos Kifisias, Chalandri, Attica 152 32, GR",
          "city": "Chalandri",
          "state": "Attica",
          "country": "Greece"
        },
        {
          "address": "14212 Cochran Rd SW, Huntsville, AL 35824, US",
          "city": "Huntsville",
          "state": "AL",
          "country": "United States"
        },
        {
          "address": "Carretera al Castillo, El Salto, JAL 45680, MX",
          "city": "El Salto",
          "state": "JAL",
          "country": "Mexico"
        },
        {
          "address": "Calle de Corazon de Maria, 44, Madrid, Community of Madrid 28002, ES",
          "city": "Madrid",
          "state": "Community of Madrid",
          "country": "Spain"
        },
        {
          "address": "Technicka 2995/21, Brno, South Moravia 612 00, CZ",
          "city": "Brno",
          "state": "South Moravia",
          "country": "Czechia"
        },
        {
          "address": "150 Kettletown Rd, Southbury, CT 06488, US",
          "city": "Southbury",
          "state": "CT",
          "country": "United States"
        },
        {
          "address": "601 Pacific Hwy, Sydney, NSW 2065, AU",
          "city": "Sydney",
          "state": "NSW",
          "country": "Australia"
        },
        {
          "address": "505 Howard St, San Francisco, CA 94105, US",
          "city": "San Francisco",
          "state": "CA",
          "country": "United States"
        },
        {
          "address": "600 14th St NW, Washington, DC 20005, US",
          "city": "Washington",
          "state": "DC",
          "country": "United States"
        },
        {
          "address": "7100 Highlands Pkwy SE, Smyrna, GA 30082, US",
          "city": "Smyrna",
          "state": "GA",
          "country": "United States"
        },
        {
          "address": "1000 Belleview St, Dallas, TX 75215, US",
          "city": "Dallas",
          "state": "TX",
          "country": "United States"
        }
      ],
      "employees": [],
      "jobs": [],
      "posts": []
    },
    "total_points": 5,
    "duration_ms": 12312
  }
}

Genuine output from a live run. Note the real-world gaps: tagline and founded_year are null, and employees / jobs / posts came back empty for this profile — while all 35 office locations and 17 specialties are populated. Both the extraction schema (raw.settings.extract_schema_json) and the machine-readable result (raw.machine, also flattened into the columns above) travel with every row.

Pricing

Pay per result — $0.005 per company ($5 per 1,000) returned to the dataset. You pay only for rows returned — misses are free.

Event	Price
Actor start	Free
Company returned (per dataset row)	$0.005

Companies that can't be resolved are not billed. Pricing is on top of your Apify platform usage.

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.