LinkedIn

Find verified emails and scrape data directly on LinkedIn

This widget supports multiple actions. For a more comprehensive understanding of its functionality, we recommend reviewing the following documentation carefully.

You need to pass both the action and other input parameters of the chosen action to your module_config

Try it in the Widget Center

Click this url to try this widget and copy the Pro Config template.

Usage

Domain Search

action domain_search

This endpoint enables you to discover email addresses associated with a domain name, website, or company name. Additionally, you have the option to obtain highly accurate and unique company data enrichment.

Input Parameters

Name	Type	Description	Default	Required
action	string	The action to perform	domain_search
company	string	The company domain, website or name. Using a domain or website is recommended for better accuracy. If submitting a company name, it needs to be between 3 to 75 characters	myshell.ai
company_enrichment	boolean	Whether to enrich the company data	False

Output Parameters

Name	Type	Description	File Type
data	object	The data returned by the Linkedin API

Output Example

success

{
  "data": {
    "error": false,
    "response": {
      "company_enrichment": null,
      "email_list": [
        {
          "email": "[e-mail]",
          "email_anon_id": "NBD533y6Pgiq",
          "email_type": "professional",
          "first_name": "Mica",
          "last_name": "Zhang",
          "verification": {
            "last_verified_at": "2024-02-19 22:30:17.151542+00:00",
            "status": "VALID"
          }
        },
        {
          "email": "[e-mail]",
          "email_anon_id": "QqcHBgkDctie",
          "email_type": "professional",
          "first_name": "Ethan",
          "last_name": "Sun",
          "verification": {
            "last_verified_at": "2024-02-11 00:52:17.637839+00:00",
            "status": "VALID"
          }
        },
        {
          "email": "[e-mail]",
          "email_anon_id": "Vw89JoY3hlTK",
          "email_type": "professional",
          "first_name": "Hance",
          "last_name": "Zhang",
          "verification": {
            "last_verified_at": "2024-03-26 13:29:37.178356+00:00",
            "status": "VALID"
          }
        },
        {
          "email": "[e-mail]",
          "email_anon_id": "wZPHy8lYqfbS",
          "email_type": "professional",
          "first_name": "Anny",
          "last_name": "Ma",
          "verification": {
            "last_verified_at": "2024-04-01 01:51:20.439291+00:00",
            "status": "VALID"
          }
        },
        {
          "email": "[e-mail]",
          "email_anon_id": "zvm4BkofdtxX",
          "email_type": "professional",
          "first_name": "Chengwei",
          "last_name": "Ouyang",
          "verification": {
            "last_verified_at": "2024-05-06 05:35:56.131826+00:00",
            "status": "VALID"
          }
        }
      ],
      "meta": {
        "domain": "myshell.ai",
        "limit": 50,
        "more_results": false,
        "remaining_emails": 0,
        "search_id": "l3K8H1T1j5pZ",
        "total_emails": 5
      }
    }
  }
}

Email Finder

action email_finder

This endpoint allows you to uncover professional emails by providing a first and last name or a full name, along with a company (domain, website, or company name). The system leverages multiple patterns and advanced technology to discover and verify emails while staying fully GDPR compliant.

Input Parameters

Name	Type	Description	Default	Required
action	string	The action to perform	email_finder
company	string	The company domain, website or name. Using a domain or website is recommended for better accuracy. If submitting a company name, it needs to be between 3 to 75 characters	myshell.ai
first_name	string	The first name of the person to find the email for
last_name	string	The last name of the person to find the email for
full_name	string	The full name of the person to find the email for. We advise you to submit the first and last name for higher accuracy

Output Parameters

Name	Type	Description	File Type
data	object	The data returned by the Linkedin API

Output Example

success

{
  "data": {
    "error": false,
    "response": {
      "domain": "myshell.ai",
      "email": "[e-mail]",
      "email_anon_id": "zvm4BkofdtxX",
      "email_status": "VALID",
      "first_name": "Chengwei",
      "free": true,
      "last_name": "Ouyang",
      "total_emails": 5
    }
  }
}

Linkedin Profile Finder

action profile_finder

This endpoint enables you to extract data from any LinkedIn profile in real-time, as well as all the data from the company page, and also find a valid verified email from the lead, in a clean JSON output with extracted details and the verified email, in one request.

You also have the option to only fetch the real-time profile data, with an average response time of 3 seconds.

The input parameter is a LinkedIn URL. You can use either a Sales Navigator encrypted URL or a standard LinkedIn URL.

Input Parameters

Name	Type	Description	Default	Required
action	string	The action to perform	profile_finder
url	string	The LinkedIn profile URL to search
profile_only	boolean	This option allows you to specify you only need the data from the LinkedIn profile, but no in-depth company details and no email	False

Output Parameters

Name	Type	Description	File Type
data	object	The data returned by the Linkedin API

Output Example

success

{
  "data": {
    "error": false,
    "response": {
      "company": {
        "common_email_pattern": "{first}{last}",
        "description": "Founded in Silicon Valley in 2018, Orka is an innovative global hearing technology company born out of a passion and commitment to address hearing loss challenges intelligently. As one of the first multinational companies to employ AI technology throughout the full lifecycle of hearing aids, Orka is dedicated to creating an integrated hearing aid system that combines hardware, machine learning, and services.\n\nOur new FDA-registered hearing aid, Orka Two, with proprietary AI DeNoise technology and Bluetooth 5.3  is now available.",
        "domain": "hiorka.com",
        "founded_in": 2018,
        "industry": "Medical Equipment Manufacturing",
        "is_catch_all": null,
        "linkedin": "https://www.linkedin.com/company/orkahearingaids",
        "location": {
          "address": null,
          "city": "Chicago",
          "country": "United States",
          "country_code": "US",
          "postal_code": null,
          "state": null,
          "timezone": "America/New_York",
          "timezone_offset": "-4.0"
        },
        "logo": "https://assets-prospeo.s3.us-east-2.amazonaws.com/company_HAI2DFBHN9CT2YCAHDY5.jpg",
        "name": "Orka",
        "size": "51-200",
        "total_emails": 15,
        "website": "http://www.hiorka.com"
      },
      "current_job_month": 5,
      "current_job_year": 2020,
      "education": [],
      "email": {
        "email": null,
        "email_anon_id": null,
        "email_status": "NOT_FOUND",
        "email_type": "professional"
      },
      "entity_urn": "ACoAACUEkIoBFvU4QQNHWUhg5tzGXNJQdpU8bF0",
      "first_name": "Chengwei",
      "full_name": "chengwei ouyang",
      "gender": "male",
      "job_title": "--",
      "languages": {
        "primary_locale": {
          "country": "US",
          "language": "en"
        },
        "profile_languages": [],
        "supported_locales": [
          {
            "country": "US",
            "language": "en"
          }
        ]
      },
      "last_name": "Ouyang",
      "linkedin": "https://www.linkedin.com/in/chengwei-ouyang-5a2ba7153",
      "location": {
        "city": null,
        "country": "China",
        "country_code": "CN",
        "postal_code": null,
        "raw": "China",
        "state": null,
        "timezone": "Asia/Shanghai",
        "timezone_offset": 8
      },
      "picture": null,
      "premium": false,
      "skills": "Full-Stack Development, Speech Enhancement, Digital Signal Processing, Deep Learning",
      "summary": null,
      "work_experience": [
        {
          "company": {
            "employees": {
              "end": 200,
              "start": 51
            },
            "id": 28804048,
            "logo": "https://media.licdn.com/dms/image/C560BAQGrT1wWAkqsIw/company-logo_400_400/0/1630649520385/evoco_labs_logo?e=1723075200\u0026v=beta\u0026t=3hmIa1GRR32mDKqWHDPxeZBlR-nKzEH783vHVSGRIWg",
            "name": "Orka",
            "url": "https://www.linkedin.com/company/orkahearingaids/"
          },
          "date": {
            "end": {
              "day": null,
              "month": 1,
              "year": 2024
            },
            "start": {
              "day": null,
              "month": 5,
              "year": 2020
            }
          },
          "profile_positions": [
            {
              "company": "Orka",
              "date": {
                "end": {
                  "day": null,
                  "month": 1,
                  "year": 2024
                },
                "start": {
                  "day": null,
                  "month": 5,
                  "year": 2020
                }
              },
              "description": null,
              "employment_type": null,
              "location": "Shanghai, China",
              "title": "Algorithm Engineer"
            }
          ]
        }
      ]
    }
  }
}