# Dictionary: Multi-source Employee Data On this page, you'll find detailed information about Coresignal's **Multi-source Employee** data.\ Each category includes a table listing the available data fields, their explanations, data types, and sample code snippets. {% hint style="info" %} All personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes. Data fields in the example snippets are rearranged for better grouping. {% endhint %} {% tabs %} {% tab title="Data fields per category" %} 1. [Metadata](#metadata) 2. [Identifiers and URLs](#identifiers-and-urls) 3. [Employee information](#employee-information) 4. [Professional contact information](#professional-contact-information) 5. [Location](#location) 6. [Experience and workplace](#experience-and-workplace) 7. [Full experience information](#full-experience-information) 8. [Workplace details](#workplace-details) 9. [Education](#education) 10. [Salary](#salary) 11. [Profile field changes](#profile-field-changes) 12. [Recent experience changes](#recent-experience-changes) 13. [Recommendations](#recommendations) 14. [Activity](#activity) 15. [Awards](#awards) 16. [Courses](#courses) 17. [Certifications](#certifications) 18. [Languages](#languages) 19. [Patents](#patents) 20. [Publications](#publications) 21. [Projects](#projects) 22. [Organizations](#organizations) 23. [Investments](#investments) 24. [Events and Exits](#events-and-exits) {% endtab %} {% endtabs %} ## Metadata | Data field | Description | Data type | | -------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- | | `created_at` | The date and time when the employee record was created | String (date) | | `updated_at` | The date and time when the employee record was last fully updated | String (date) | | `checked_at` | The date and time when the employee record was last checked partially | String (date) | | `changed_at` | The date and time when the employee record was last changed | String (date) | | `experience_change_last_identified_at` | The date and time when the employee record change was last identified | String (date) | | `is_deleted` |

Marks if the employee record is deleted or private
1 – the record is deleted
0 – the record is not deleted

| Number (integer) | | `is_parent` |

Notes if the employee record is the main employee profile:
1 – the record is parent (main)
0 – the record is not parent

| Number (integer) | **See a snippet of the dataset for reference:** {% code title="Metadata" %} ```json "created_at": "2024-07-27T01:56:27.000", "updated_at": "2024-10-23T05:50:09.000", "checked_at": "2025-09-23T05:50:09.000", "changed_at": "2025-10-01T06:30:1.000", "experience_change_last_identified_at": "2024-10-25T06:30:10.000", "is_deleted": 0, "is_parent": 1 ``` {% endcode %} ## Identifiers and URLs | Data field | Description | Data type | | ----------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------- | ---------------- | | `id` |

Coresignal's identification key for an employee profile record.
Taken from the professional network dataset.

| Number (integer) | | `parent_id` | Parent category identification key | Number (integer) | | `historical_ids` | Historical identification keys that are related to the same profile after URL change | Array of longs | | `professional_network_url` | Most recent profile URL on professional network | String | | `professional_network_shorthand_names` | Historical variations of shorthand names for the employee | Array of strings | | `professional_network_canonical_shorthand_name` | The most recent version of employee's shorthand name | String | | `public_profile_id` | Public profile ID | Number (long) | | `facebook_url` | Facebook URL | String | | `twitter_url` | Twitter URL | String | | `financial_website_url` | Financial website URL | String | | `website` | Employee's website | String | **See a snippet of the dataset for reference:** {% code title="Identifiers & URLs" %} ```json "id": 12389891, "parent_id": 12389891, "historical_ids": [ 12389891, 11589843 ], "professional_network_url": "https://www.professional_network.com/john-doe-18729383", "professional_network_shorthand_names": [ "real-john-doe", "john-doe-1992" ], "professional_network_canonical_shorthand_name": "john-doe-18729383", "facebook_url": "https://www.facebook.com/john-doe", "twitter_url": "https://www.x.com/john-doe", "financial_website_url": "https://www.financial-website.com/person/john-doe", "website": "https://www.john-doe-website.com" ``` {% endcode %} ### Profile score | Data field | Description | Data type | | --------------- | ----------------------------------------------------------------------------------------------------------------------- | --------- | | `profile_score` | Model-derived employee profile quality score based on profile completeness and activity signals. Score range: `0` – `1` | Double | **See a snippet of the dataset for reference:** {% code title="Profile score" %} ```json "profile_score": 0.5 ``` {% endcode %} ## Employee information | Data field | Description | Data type | | --------------------- | ------------------------------------------------------------------------ | ---------------- | | `full_name` | Employee's full name | String | | `first_name` |

Employee's first name
Parsed from the full\_name

| String | | `first_name_initial` |

First name initial
Parsed from first\_name

| String | | `middle_name` |

Employee's middle name
Parsed from the full\_name

| String | | `middle_name_initial` |

Middle name initial
Parsed from middle\_name

| String | | `last_name` |

Employee's last name
Parsed from the full\_name

| String | | `last_name_initial` |

Last name initial
Parsed from last\_name

| String | | `picture_url` | Picture URL | String | | `connections_count` | Count of profile connections | Number (integer) | | `followers_count` | Count of profile followers | Number (integer) | | `interests` | Employee's interests | Array of strings | **See a snippet of the dataset for reference:** {% code title="Employee information" %} ```json "full_name": "John Doe", "first_name": "John", "first_name_initial": "J", "middle_name": "Michael", "middle_name_initial": "M", "last_name": "Doe", "last_name_initial": "D", "picture_url": "https://static.lnk.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" "connections_count": 472, "followers_count": 3190, "interests": [ "hiking", "snowboarding", "cycling", ] ``` {% endcode %} ## Professional contact information {% hint style="info" %} Coresignal **collects only publicly available, strictly business-related data** published or released by companies or individuals at their discretion online. The contact information includes **only professional emails**.\ No sensitive or private/ located within the login secured areas information is collected or transmitted. {% endhint %} | Data field | Description | Data type | | ----------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- | | `primary_professional_email` | Employee's business email address tied to their workplace | String | | `primary_professional_email_status` | The confidence level in the accuracy of the employee's business email address. The field will return four options: `verified`, `matched_email,` `matched_pattern,` or `guessed_common_pattern`. | String | | `professional_emails_collection` | Collection of employee's business email addresses | Array of structs | | `professional_email` | Employee's business email address | String | | `professional_email_status` |

The confidence level in the accuracy of the employee's professional email address. The field will return four options:

| String | | `order_of_priority` | Order of priority based on confidence in email validity | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Professional contact information" %} ```json "primary_professional_email": "johndoe@company1.com", "primary_professional_email_status": "matched_pattern", "professional_emails_collection": [ { "professional_email": "johndoe@company1.com", "professional_email_status": "matched_pattern", "order_of_priority": 1 }, { "professional_email": "john.doe1@company1.com", "professional_email_status": "matched_pattern", "order_of_priority": 2 }, { "professional_email": "johndoe123@company1.com", "professional_email_status": "matched_pattern", "order_of_priority": 3 } ] ``` {% endcode %} ## Location | Data field | Description | Data type | | ----------------------- | ----------------------------------------------------------------------------------- | ---------------- | | `location_country` | Associated country | String | | `location_city` | Employee location city | String | | `location_state` | Employee location state | String | | `location_country_iso2` | ISO 2-letter code of the location country, based on their `location_country` value. | String | | `location_country_iso3` | ISO 3-letter code of the location country, based on their `location_country` value. | String | | `location_full` | Full location | String | | `location_regions` | Associated geographical regions based on their `location_country` value | Array of strings | **See a snippet of the dataset for reference:** {% code title="Location" %} ```json "location_country": "United States", "location_city": "San Diego", "location_state": "California", "location_country_iso2": "US", "location_country_iso3": "USA", "location_full": "San Diego, California, United States", "location_regions": [ { "region": "Americas" }, { "region": "Northern America" }, { "region": "AMER" } ] ``` {% endcode %} ## Experience and workplace ### Active experience overview | Data field | Description | Data type | | ------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- | | `headline` | Profile headline | String | | `summary` | Main description (employee summary) | String | | `services` | Offered services | String | | `is_working` |

Marks if the employee is currently employed
1 – the employee is currently working
0 – the employee is currently not working

| Number (integer) | | `active_experience_company_id` | Coresignal's identification key for a company to identify where the employee is currently working | Number (integer) | | `active_experience_title` | Title of employee's current position | String | | `active_experience_description` | Description of the current position | String | | `active_experience_department` | A list of employee's departments, based on `actve_position_title` | String | | `active_experience_management_level` | A list of employee's management levels, based on `active_experience_title` | String | | `is_decision_maker` |

Marks if the employee is a decision maker, based on active\_experience\_title
1 – the employee is a decision maker
0 – the employee is not a decision maker

| Number (integer) | **See a snippet of the dataset for reference:** {% code title="Active experience overview" %} ```json "headline": "Data Analyst | Machine Learning Enthusiast", "generated_headline": "Data Specialist – Predictive Analytics", "summary": "

Passionate about uncovering insights from data and applying machine learning techniques to solve global problems.

", "services": "Data Analysis, Machine Learning Consulting, Business Intelligence", "is_working": 1, "active_experience_company_id": 4127532, "active_experience_title": "Senior Data Analyst", "active_experience_description": "Leading data-driven projects, building predictive models, and optimizing business intelligence strategies.", "active_experience_department": "Engineering and Technical", "active_experience_management_level": "Senior", "is_decision_maker": 1 ``` {% endcode %} ### Skills | Data field | Description | Data type | | ------------------- | ------------------------------------------------------------------ | ---------------- | | `inferred_skills` | Lists employees' skills based on the descriptions from the profile | Array of strings | | `historical_skills` | Historical skills | Array of strings | **See a snippet of the dataset for reference:** {% code title="Skills" %} ```json "inferred_skills": [ "cloud computing", "data analysis", "software development", "troubleshooting", "web development" ] ``` {% endcode %} ### Experience duration | Data field | Description | Data type | | -------------------------------------------------------------------------------------- | ------------------------------------------------------------------- | ---------------- | | `total_experience_duration_months` | Total normalized experience duration of all Employee's experiences | Number (integer) | |

total\_experience\_duration\_months\_breakdown\_department

| Total normalized experience duration by employee's department | Array of structs | | `department` | Department | String | | `total_experience_duration_months` | Experience duration in months | String | | `total_experience_duration_months_breakdown_management_level` | Total normalized experience duration by Employee's management level | Array of structs | | `management_level` | Employee's management level | String | | `total_experience_duration_months` | Experience duration in months | String | **See a snippet of the dataset for reference:** {% code title="Experience duration" %} ```json "total_experience_duration_months": 85, "total_experience_duration_months_breakdown_department": [ { "department": "C-Suite", "total_experience_duration_months": 13 }, { "department": "Marketing", "total_experience_duration_months": 30 }, { "department": "Finance & Accounting", "total_experience_duration_months": 14 }, { "department": "Engineering and Technical", "total_experience_duration_months": 28 } ], "total_experience_duration_months_breakdown_management_level": [ { "management_level": "C-Level", "total_experience_duration_months": 10 }, { "management_level": "Intern", "total_experience_duration_months": 3 }, { "management_level": "Senior", "total_experience_duration_months": 4 }, { "management_level": "Specialist", "total_experience_duration_months": 40 }, { "management_level": "Manager", "total_experience_duration_months": 18 } ] ``` {% endcode %} ## Full experience information | Data field | Description | Data type | | ------------------- | ------------------------------------------------- | ---------------- | | `experience` | Work experience the Employee has | Array of structs | | `active_experience` | Identifies if this is a current (active) position | Integer | | `position_title` | Employee's position title | String | | `department` | Employees department | String | | `management_level` | Employee's management level | String | | `location` | Job/workplace location | String | | `date_from` | Employment start date | String (date) | | `date_from_year` | Employment start year | Integer | | `date_from_month` | Employment start month | Integer | | `date_to` | Employment end date | String (date) | | `date_to_year` | Employment end year | Integer | | `date_to_month` | Employment end month | Integer | | `duration_months` | Employment duration in months | Integer | | `description` | Employment description | String | | `company_logo_url` | URL pointing to the logo of the company/employer | String | **See a snippet of the dataset for reference:** {% code title="Full experience information" %} ```json "experience": [ { "active_experience": 0, "position_title": "Senior Data Analyst", "department": "Data Science", "management_level": "Mid-Level", "location": "San Francisco, California, United States", "date_from": "March 2020", "date_from_year": 2020, "date_from_month": 3, "date_to": "July 2022", "date_to_year": 2022, "date_to_month": 7, "duration_months": 126, "company_logo_url": "https://media.licdn.com/dms/image/v2/example/company-logo" } ] ``` {% endcode %} ## Workplace details ### Metadata and firmographics | Data field | Description | Data type | | -------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------- | ---------------- | | `company_id` | Company record identification key in Coresignal's database | Integer | | `company_name` | Company name | String | | `company_type` | Company type | String | | `company_founded_year` | Founding year | String (date) | | `company_size_range` | Company size based on employee count range (as selected by the company profile administrator) | String | | `company_employees_count` | Number of employees that associated their experience with the company | Number (integer) | | `company_categories_and_keywords` | Categories and keywords are assigned to the company profile and products across various platforms | Array of strings | | `company_employees_count_change_yearly_percentage` | Company employee count change (percentage) | Number (integer) | | `company_industry` | Company's industry | String | | `company_last_updated_at` | The last update date of the record in the `YYYY-MM-DD` format | String (date) | | `company_is_b2b` |

Indicates if the company operates in a business-to-business model:
1 – b2b company
0 – b2c company

| Number (integer) | | `order_in_profile` | The order number of the workplace in the profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Metadata & firmographics" %} ```json "company_id": 87272276, "company_name": "Company123, LLC", "company_type": "Privately Held", "company_founded_year": "2023", "company_size_range": "51-200 employees", "company_employees_count": 157, "company_categories_and_keywords": [ "Data Analysis", "AI", "Management", "Consulting", ], "company_employees_count_change_yearly_percentage": 17.43222222222222 "company_industry": "Manufacturing", "company_last_updated_at": "2025-02-03", "company_is_b2b": 1, "order_in_profile": 1 ``` {% endcode %} ### Social media | Data field | Description | Data type | | ------------------------- | -------------------------------------------------------- | ---------------- | | `company_followers_count` | Company's profile follower count on professional network | Integer | | `company_website` | Company's website | String | | `company_facebook_url` | Company's Facebook URL | Array of strings | | `company_twitter_url` | Company's X (Twitter) URL | Array of strings | | `company_linkedin_url` | Company's LinkedIn URL | String | **See a snippet of the dataset for reference:** {% code title="Social media" %} ```json "company_followers_count": 527712, "company_website": "https://www.company1.com", "company_facebook_url": [ "https://www.facebook.com/company1global", "https://www.facebook.com/company1" ], "company_twitter_url": [ "https://www.x.com/company1" ], "company_linkedin_url": "https://www.linkedin.com/company/company1" ``` {% endcode %} ### Financials | Data field | Description | Data type | | ----------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------- | ---------------- | |

company\_annual\_revenue\_source\_1,
company\_annual\_revenue\_source\_5

| Company's revenue from a specific source | Array of objects | |

company\_annual\_revenue\_currency\_source\_1,

company\_annual\_revenue\_currency\_source\_5

| Revenue currency | String | | `company_last_funding_round_date` | Date when the last funding round was announced in `YYYY-MM-DD` format | String (date) | | `company_last_funding_round_amount_raised` | Amount raised in the last funding round | Integer (long) | | `company_stock_ticker` | Company's stock ticker information | Array of objects | | `exchange` | Stock exchange | String | | `ticker` | Stock ticker | String | **See a snippet of the dataset for reference:** {% code title="Financials" %} ```json "annual_revenue_source_5": 32590000, "annual_revenue_currency_source_5": "$", "annual_revenue_source_1": 878728373, "annual_revenue_currency_source_1": "$", "company_last_funding_round_date": "2024-03-25", "company_last_funding_round_amount_raised": 200 000, "stock_ticker": [ { "exchange": "NASDAQ", "ticker": "AAPL" } ] ``` {% endcode %} ### Workplace locations | Data field | Description | Data type | | ------------------------- | ----------------------------------------------------------- | ---------------- | | `company_hq_full_address` | Full address of the company's headquarters | String | | `company_hq_country` | The country where the company's headquarters is located | String | | `company_hq_regions` | Detailed region where the company's headquarters is located | Array of strings | | `company_hq_country_iso2` | ISO 2-letter code of the headquarters country | String | | `company_hq_country_iso3` | ISO 3-letter code of the headquarters country | String | | `company_hq_city` | Headquarters city | String | | `company_hq_state` | Headquarters state | String | | `company_hq_street` | Headquarters street address | String | | `company_hq_zipcode` | Headquarters zip code | String | **See a snippet of the dataset for reference:** {% code title="Locations" %} ```json "company_hq_full_address": "123 Data Drive, Analytics City, CA 94016, USA", "company_hq_country": "United States", "company_hq_regions": [ "Americas", "Northern America", "AMER"], "company_hq_country_iso2": "US", "company_hq_country_iso3": "USA", "company_hq_city": "Analytics City", "company_hq_state": "California", "company_hq_street": "123 Data Drive", "company_hq_zipcode": "94016", ``` {% endcode %} ## Education | Data field | Description | Data type | | -------------------------- | ----------------------------------------------------------------------------------------------- | ---------------- | | `last_graduation_date` | Last graduation date | String (date) | | `education_degrees` | List of education degrees held by the person | Array of strings | | `education` | Employee's education | Array of objects | | `degree` | Degree name | String | | `description` | Degree description | String | | `institution_url` | Institution's profile URL | String | | `institution_logo_url` | URL pointing to the logo of the educational institution (university, school, training provider) | String | | `institution_name` | Institution's name | String | | `institution_full_address` | Institution's full address | String | | `institution_country_iso2` | ISO 2-letter code of the institution's country | String | | `institution_country_iso3` | ISO 3-letter code of the institution's country | String | | `institution_regions` | Institution's region | Array of strings | | `institution_city` | Institution's city | String | | `institution_state` | Institution's state | String | | `institution_street` | Institution's street | String | | `institution_zipcode` | Institution's zip code | String | | `date_from_year` | Enrollment date | Number (integer) | | `date_to_year` | Graduation date | String (date) | | `activities_and_societies` | Activities and societies that are connected with the employee | String | | `order_in_profile` | Order in profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Education" %} ```json "last_graduation_date": 2022, "education_degrees": [ "Bachelor of Science, Computer Science Engineering, 9.12 (Rank: 4/80)", "Senior Secondary, Mathematics, 93%", "Higher Secondary, Science, 96%" ], "education": [ { "degree": "Bachelor of Science, Computer Science Engineering, 9.12 (Rank: 4/80)", "description": "Focused on core sciences with a strong foundation in Physics and Chemistry.", "institution_url": "https://www.topuniversity.edu", "institution_logo_url": "https://media.licdn.com/dms/image/v2/example/institution-logo", "institution_name": "Top University", "institution_full_address": "Top University, 123 Main St, Cityville, State 12345, USA", "institution_country_iso2": "US", "institution_country_iso3": "USA", "institution_regions": [ "North America", "East Coast" ], "institution_city": "Cityville", "institution_state": "State", "institution_street": "123 Main St", "institution_zipcode": "12345", "date_from_year": 2014, "date_to_year": 2016, "activities_and_societies": "Science Fair, Debate Team", "order_in_profile": 1 }, ] ``` {% endcode %} ## Salary ### Projected base salary | Data field | Description | Data type | | ---------------------------------- | ------------------------------------------------------------------------ | --------------- | | `projected_base_salary_p25` | Minimum projected base salary for the current position (25th percentile) | Number (double) | | `projected_base_salary_median` | Median projected base salary for the current position | Number (double) | | `projected_base_salary_p75` | Maximum projected base salary for the current position (75th percentile) | Number (double) | | `projected_base_salary_period` | Data collection period | String | | `projected_base_salary_currency` | Salary currency | String | | `projected_base_salary_updated_at` | Data last update date | String (date) | **See a snippet of the dataset for reference:** {% code title="Projected base salary" %} ```json "projected_base_salary_p25": 105432.56, "projected_base_salary_median": 120785.90, "projected_base_salary_p75": 145430.78, "projected_base_salary_period": "ANNUAL", "projected_base_salary_currency": "USD", "projected_base_salary_updated_at": "2025-02-03" ``` {% endcode %} ### Projected additional salary | Data field | Description | Data type | | ---------------------------------------- | ------------------------------------------------------------------------------ | ---------------- | | `projected_additional_salary` | Projected additional salary | Array of structs | | `projected_additional_salary_type` | Projected additional salary type for the current position | String | | `projected_additional_salary_p25` | Minimum projected additional salary for the current position (25th percentile) | Number (double) | | `projected_additional_salary_median` | Median projected additional salary for the current position | Number (double) | | `projected_additional_salary_p75` | Maximum projected additional salary for the current position (75th percentile) | Number (double) | | `projected_additional_salary_period` | Data collection period | String | | `projected_additional_salary_currency` | Salary currency | String | | `projected_additional_salary_updated_at` | Data last update date | String (date) | **See a snippet of the dataset for reference:** {% code title="Projected additional salary" %} ```json "projected_additional_salary": [ { "projected_additional_salary_type": "Cash Bonus", "projected_additional_salary_p25": 7654.21, "projected_additional_salary_median": 10234.56, "projected_additional_salary_p75": 14123.78 }, { "projected_additional_salary_type": "Stock Bonus", "projected_additional_salary_p25": 8892.10, "projected_additional_salary_median": 11754.93, "projected_additional_salary_p75": 16123.12 } ] "projected_additional_salary_period": "ANNUAL", "projected_additional_salary_currency": "USD", "projected_additional_salary_updated_at": "2024-12-06" ``` {% endcode %} ### Projected total salary | Data field | Description | Data type | | ----------------------------------- | ------------------------------------------------------------------------------- | --------------- | | `projected_total_salary_p25` | Minimum projected total salary value for the current position (25th percentile) | Number (double) | | `projected_total_salary_median` | Median projected total salary value for the current position | Number (double) | | `projected_total_salary_p75` | Maximum projected total salary value for the current position (75th percentile) | Number (double) | | `projected_total_salary_period` | Data collection period | String | | `projected_total_salary_currency` | Salary currency | String | | `projected_total_salary_updated_at` | Data last update date | String (date) | **See a snippet of the dataset for reference:** {% code title="Projected total salary" %} ```json "projected_total_salary_p25": 142763.21, "projected_total_salary_median": 153290.88, "projected_total_salary_p75": 165432.19, "projected_total_salary_period": "ANNUAL", "projected_total_salary_currency": "USD", "projected_total_salary_updated_at": "2025-02-12", ``` {% endcode %} ## Profile field changes | Data field | Description | Data type | | ------------------------------------------ | ----------------------------------------------- | ---------------- | | `profile_root_field_changes_summary` | Summary of the field-level changes | Array of structs | | `field_name` | Name of the data field | String | | `change_type` | Type of the data field change | String | | `last_changed_at` | Date of the last data field change | String (date) | | `profile_collection_field_changes_summary` | Summary of changes in profile collection fields | Array of structs | | `field_name` | Name of the collection data field | String | | `last_changed_at` | Data of the last collection data field change | String | **See a snippet of the dataset for reference:** {% code title="Profile field changes" %} ```json "profile_root_field_changes_summary": [ { "field_name": "followers_count", "change_type": "updated", "last_changed_at": "2023-07-18T09:22:45.567" }, { "field_name": "summary", "change_type": "updated", "last_changed_at": "2025-02-18T09:22:45.567" } ], "profile_collection_field_changes_summary": [ { "field_name": "experience", "last_changed_at": "2024-01-05T17:48:12.892" }, { "field_name": "activity", "last_changed_at": "2025-02-05T17:48:12.892" } ] ``` {% endcode %} ## Recent experience changes | Data field | Description | Data type | | ----------------------------- | -------------------------------------------------------------- | ---------------- | | `experience_recently_started` | Collection of identified recently started Employee experiences | Array of structs | | `company_id` | Coresignal's identification key for a company record | String | | `company_name` | Company name | String | | `company_url` | URL of the company | String | | `company_shorthand_name` | Shorthand name of the company's URL | String | | `date_from` | Start date of the experience record | String | | `date_to` | End date of the experience record | String | | `title` | Position title in the company | String | | `identification_date` | Date when experience change was identified | String | | `experience_recently_closed` | Collection of employee experiences that ended recently | Array of structs | | `company_id` | Coresignal's identification key for a company record | String | | `company_name` | Company name | String | | `company_url` | URL of the company | String | | `company_shorthand_name` | Shorthand name of the company's URL | String | | `date_from` | Start date of the experience record | String | | `date_to` | End date of the experience record | String | | `title` | Position title in the company | String | | `identification_date` | Date when experience change was identified | String | **See a snippet of the dataset for reference:** {% code title="Recent experience changes" %} ```json "experience_recently_started": [ { "company_id": 3124502, "company_name": "Company1, LLC", "company_url": "https://www.professional_network.com/company/company1-llc", "company_shorthand_name": "company1-llc", "date_from": "Nov 2024", "date_to": "Dec 2024", "title": "Senior Software Engineer", "identification_date": "2024-11-19T15:34:29.412" }, ], "experience_recently_closed": [ { "company_id": 3124504, "company_name": "Company3, LLC", "company_url": "https://www.professional_network.com/company/company3-llc", "company_shorthand_name": "company3-llc", "date_from": "Jul 2021", "date_to": "Oct 2024", "title": "Software Engineer", "identification_date": "2024-12-14T10:48:37.215" } ] ``` {% endcode %} ## Recommendations | Data field | Description | Data type | | ----------------------- | ----------------------------------------------------------------- | ---------------- | | `recommendations_count` | Number of recommendations from other users | Number (integer) | | `recommendations` | List of recommendations received | Array of structs | | `recommendation` | Recommendation text | String | | `referee_full_name` | The full name of the person who wrote the recommendation | String | | `referee_url` | The URL of the profile of the person who wrote the recommendation | String | | `order_in_profile` | The exact position of the recommendation in the profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Recommendations" %} ```json "recommendations_count": 2, "recommendations": [ { "recommendation": "“I had the pleasure of collaborating with John during his time at Tech Innovations, where he displayed a rare combination of creativity and technical expertise. He consistently demonstrated outstanding problem-solving skills, particularly in software engineering and AI. His attention to detail and collaborative spirit made him a valuable asset to the team. John is also a great mentor who is always ready to share his knowledge with others, making him a true team player.”", "referee_full_name": "Jane Doe 1", "referee_url": "https://www.professional_network.com/in/jane-doe-1", "order_in_profile": 1 }, { "recommendation": "“John’s drive and determination have impressed me from our first interaction during a project at Company1 Solutions. He has an extraordinary ability to tackle complex challenges and has a passion for both technology and team collaboration. His contributions were key to the success of several high-profile projects. He is an individual who thrives in dynamic environments and continuously seeks to innovate and improve processes.”", "referee_full_name": "Jane Doe 2", "referee_url": "https://www.professional_network.com/in/jane-doe-2", "order_in_profile": 2 } ] ``` {% endcode %} ## Activity | Data field | Description | Data type | | ------------------ | ------------------------------------------------- | ---------------- | | `activity` | User's activity (posts) | Array of structs | | `activity_url` | Post URL | String | | `title` | Post title | String | | `action` | Activity type | String | | `order_in_profile` | The exact position of the activity in the profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Activity" %} ```json "activity": [ { "activity_url": "https://www.professional_network.com/posts/johndoe_ai-innovations-and-the-future-of-tech-activity-1234567890123456789-XYZ", "title": "Excited to share my thoughts on the future of AI and its impact on industries worldwide. The advancements in machine learning are opening new doors…", "action": "Liked by", "order_in_profile": 1 } ] ``` {% endcode %} ## Awards | Data field | Description | Data type | | ------------------ | ---------------------------------------------- | ---------------------- | | `awards_count` | Count of user awards | String | | `awards` | Awards held by the person | Array of structs | | `title` | Award title | String | | `issuer` | Award issuer | String | | `description` | Award description | String | | `date` | Award date | String | | `date_year` | Award year | StringNumber (integer) | | `date_month` | Award month | Number (integer) | | `order_in_profile` | The exact position of the award in the profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Awards" %} ```json "awards_count": "2", "awards": [ { "title": "Outstanding Achievement Award", "issuer": "Top University", "description": "Recognized for exceptional contributions to student initiatives and leadership in organizing university-wide events.", "date": "March 15, 2024", "date_year": 2024, "date_month": 3, "order_in_profile": 1 } ] ``` {% endcode %} ## Courses | Data field | Description | Data type | | ------------------ | ----------------------------------------------- | ---------------- | | `courses` | Courses | Array of structs | | `organizer` | Course organizer | String | | `title` | Course title | String | | `order_in_profile` | The exact position of the course in the profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Courses" %} ```json "courses": [ { "organizer": "AI Certification", "title": "Machine Learning Fundamentals", "order_in_profile": 1 }, { "organizer": "CS Academ", "title": "Advanced Algorithms and Data Structures", "order_in_profile": 2 }, ] ``` {% endcode %} ## Certifications | Data field | Description | Data type | | ---------------------- | --------------------------------------------------------------------------------------- | ---------------- | | `certifications_count` | Count of employee certifications | String | | `certifications` | Certifications | Array of structs | | `title` | Certification title | String | | `issuer` | Certification issuer | String | | `issuer_url` | Issuer profile URL | String | | `credential_id` | Credential identification key | String | | `certificate_url` | Certification URL | String | | `certificate_logo_url` | URL pointing to the logo of the certification provider (AWS, Microsoft, Coursera, etc.) | String | | `date_from` | Certification issue date | String (date) | | `date_from_year` | Issue year | Number (integer) | | `date_from_month` | Issue month | Number (integer) | | `date_to` | Certification expiry date | String (date) | | `date_to_year` | Expiry year | Number (integer) | | `date_to_month` | Expiry month | Number (integer) | | `order_in_profile` | The exact position of the certification in the profile | Number Array | **See a snippet of the dataset for reference:** {% code title="Certifications" %} ```json "certifications_count": "2", "certifications": [ { "title": "Advanced Data Analysis", "issuer": "Certification Company 123", "issuer_url": "https://www.certificationcompany123.com", "credential_id": "EFGH98765432", "certificate_url": "https://www.certificationcompany123.com/certificates/f44f9027fba14efb953da9db849e5ed2", "certificate_logo_url": "https://media.licdn.com/dms/image/v2/example/certificate-logo", "date_from": "Nov 2023", "date_from_year": 2023, "date_from_month": 11, "date_to": "Nov 2024", "date_to_year": 2024, "date_to_month": 11, "order_in_profile": 1 } ] ``` {% endcode %} ## Languages | Data field | Description | Data type | | ------------------ | ------------------------------------------------- | ---------------- | | `languages` | Language knowledge | Array of structs | | `language` | Listed language | String | | `proficiency` | Language proficiency | String | | `order_in_profile` | The exact position of the language in the profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Languages" %} ```json "languages": [ { "language": "English", "proficiency": "Full professional proficiency", "order_in_profile": 1 }, { "language": "Spanish", "proficiency": "Limited working proficiency", "order_in_profile": 2 }, { "language": "French", "proficiency": "Professional working proficiency", "order_in_profile": 3 } ] ``` {% endcode %} ## Patents | Data field | Description | Data type | | ------------------ | ----------------------------------------------- | ---------------- | | `patents_count` | Number of authored patents | Number (integer) | | `patents_topics` | Patent topics | Array of strings | | `patents` | Authored patents | Array of structs | | `title` | Patent title | String | | `status` | Patent status | String | | `description` | Patent description | String | | `patent_url` | Patent URL | String | | `date` | Patent filing date | String (date) | | `date_year` | Filling year | Number (integer) | | `date_month` | Filling month | Number (integer) | | `patent_number` | Patent number | String | | `order_in_profile` | The exact position of the patent in the profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Patents count" %} ```json "patents_count": 1, "patents_topics": "Data Analysis", "patents": [ { "title": "Advanced Data Analysis Using Neural Networks", "status": "Granted", "description": "A novel approach to data analysis leveraging deep learning techniques to improve accuracy in predictive modeling and data interpretation.\\n

", "patent_url": "https://example123.com/patent/data-analysis-neural-networks", "date": "September 10, 2023", "date_year": 2023, "date_month": 9, "patent_number": "US112233445A1", "order_in_profile": 1 } ] ``` {% endcode %} ## Publications | Data field | Description | Data type | | --------------------- | ---------------------------------------------------- | ---------------- | | `publications_count` | Count of publications authored by the employee | Number (integer) | | `publications_topics` | Publication topics | Array of strings | | `publications` | Authored publications | Array of structs | | `title` | Publication title | String | | `description` | Publication description | String | | `publication_url` | Publication website URL | String | | `publisher_name` | Publication publisher | Array of strings | | `date` | Publication release date | String (date) | | `date_year` | Release year | Number (integer) | | `date_month` | Release month | Number (integer) | | `order_in_profile` | The exact position of the publication in the profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Publications" %} ```json "publications_count": 1, "publications_topics": [ "Machine Learning in Healthcare Applications" ], "publications": [ { "title": "Machine Learning-Based Heart Disease Prediction", "description": "This research focuses on utilizing machine learning techniques to predict heart diseases by analyzing EKG signals, a part of my project from June'21 to December'21.\\n

", "publication_url": "https://www.researchpaper123.net/publication/343632915_Machine_Learning", "publisher_names": [ "John Doe", "Jane Doe" ], "date": "December 15, 2021", "date_year": 2021, "date_month": 12, "order_in_profile": 1 } ] ``` {% endcode %} ## Projects | Data field | Description | Data type | | ------------------ | ---------------------------------------------------- | ---------------- | | `projects_count` | Count of total projects listed in the profile | Number (integer) | | `projects_topics` | Topics related to the projects listed in the profile | Array of strings | | `projects` | Projects created by the profile | Array of structs | | `name` | Project name | String | | `description` | Project description | String | | `project_url` | Project website URL | String | | `date_from` | Project start date | String (date) | | `date_from_year` | Project start year | Number (integer) | | `date_from_month` | Project start month | Number (integer) | | `date_to` | Project end date | String (date) | | `date_to_year` | Project end year | Number (integer) | | `date_to_month` | Project end month | Number (integer) | | `order_in_profile` | The exact position of the project in the profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Projects" %} ```json "projects_count": 1, "projects_topics": [ "Predictive Analytics in Complex Systems", "Real-time Facial Expression Analysis for Emotional Intelligence Systems", "Design and Simulation of Adaptive Actuators for Smart Materials", "Audio Signal Separation for Enhanced Speech Recognition", "Non-Invasive Glucose Monitoring Using Spectroscopic Data Analysis" ], "projects": [ { "name": "Predictive Analytics for Fault Detection in Complex Mechanical Systems", "description": "As part of a research initiative, a predictive system was developed to identify anomalies in mechanical systems. The project utilized historical failure data and machine learning models.

", "project_url": "https://www.projecturl123.net/project/123456_Analytics", "date_from": "Oct 2018", "date_from_year": 2018, "date_from_month": 10, "date_to": "May 2019", "date_to_year": 2019, "date_to_month": 5, "order_in_profile": 1 } ] ``` {% endcode %} ## Organizations | Data field | Description | Data type | | ------------------- | ---------------------------------------------------------- | ---------------- | | `organizations` | Memberships in organizations | Array of structs | | `organization_name` | Organization title | String | | `position` | Position in the organization | String | | `description` | Description of the activity/experience in the organization | String | | `date_from` | Membership start date | String (date) | | `date_from_year` | Membership start year | Number (integer) | | `date_from_month` | Membership start month | Number (integer) | | `date_to` | Membership end date | String (date) | | `date_to_year` | Membership end year | Number (integer) | | `date_to_month` | Membership end month | Number (integer) | | `order_in_profile` | The exact position of the organization in the profile | Number (integer) | **See a snippet of the dataset for reference:** {% code title="Organizations" %} ```json "organizations": [ { "organization_name": "Tech Club", "position": "Event Coordinator", "description": "Led and organized data-driven workshops and events, focusing on data analytics and machine learning applications in various industries.", "date_from": "Feb 2016", "date_from_year": 2016, "date_from_month": 2, "date_to": "Mar 2018", "date_to_year": 2018, "date_to_month": 2, "order_in_profile": 1 } ] ``` {% endcode %} ## Investments ### Personal investments | Data field | Description | Data type | | ---------------------- | -------------------------------------------- | -------------- | | `personal_investments` | Personal investments list | Struct | | `announced_date` | Date when the investment was announced | String | | `company_name` | Name of the company receiving the investment | String | | `lead_investor` | Informs if the person was a lead investor | Integer | | `funding_round` | Name or type of the funding round | String | | `amount_raised` | Amount of money raised | Integer (long) | **See a snippet of the dataset for reference:** {% code title="Personal investments" %} ```json "personal_investments": [ { "announced_date": "Aug 1, 2025", "company_name": "Fake Corp", "lead_investor": 0, "funding_round": "First Round - Investment Transfer", "amount_raised": 100000 } ] ``` {% endcode %} ### Partner investments | Data field | Description | Data type | | --------------------- | -------------------------------------------- | -------------- | | `partner_investments` | Partner investments list | Struct | | `announced_date` | Date when the investment was announced | String | | `company_name` | Name of the company receiving the investment | String | | `lead_investor` | Informs if the partner was a lead investor | Integer | | `funding_round` | Name or type of the funding round | String | | `amount_raised` | Amount of money raised | Integer (long) | | `investor_name` | Name of the investor | String | **See a snippet of the dataset for reference:** {% code title="Partner investments" %} ```json "partner_investments": [ { "announced_date": "Aug 1, 2025", "company_name": "Fake Company", "lead_investor": 0, "funding_round": "Round - Fake Company", "amount_raised": 20000, "investor_name": "Example Capital" } ] ``` {% endcode %} ## Events and Exits | Data field | Description | Data type | | --------------------- | ---------------------------------------------------------------------------------------------- | ---------------- | | **`events`** | Information about events | Object | | `name` | Event's name | String | | `role` | Role in the event | String | | `date` | Date of the event | String | | `location` | Location of the event | String | | **`exits`** | Name Section containing information about company exits (e.g., IPO, acquisition) the investion | Array of objects | | `company_name` | Name of the company where the exit happened | String | | `company_description` | Short description of the company | String | **See a snippet of the dataset for reference:** {% code title="Events and Exits" %} ```json "events": [ { "name": "WEB event 2023", "role": "Speaker", "date": "Nov 1, 2023", "location": "London" } ], "exits": [ { "company_name": "Example Organization", "company_description": "Example Organization is a platform designed to buy and sell new technologies." } ] ``` {% endcode %}