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 points, their explanations, data types, and sample code snippets.
If you want to check the dataset schema, fill rates, or sample, click here.
All personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes.
Data points in the example snippets are rearranged for better grouping.
Data point | 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:
Data point | 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 strings |
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 |
See a snippet of the dataset for reference:
Data point | 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:
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.
Data point | 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, orguessed_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:
Data point | Description | Data type |
|---|---|---|
location_country | Associated country | 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_countryvalue. | 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:
Data point | 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:
Data point | Description | Data type |
|---|---|---|
inferred_skills | Lists employees' skills based on the descriptions from the profile | Array of strings |
See a snippet of the dataset for reference:
Data point | 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:
Data point | Description | Data type |
|---|---|---|
experience | Work experience the Employee has | Array of structs |
active_experience | Identifies if this is a current (active) position | String |
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 |
See a snippet of the dataset for reference:
Data point | 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:
Data point | 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:
Data point | 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:
Data point | 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:
Data point | 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_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:
Data point | 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:
Data point | 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:
Data point | 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:
Data point | 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:
Data point | 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:
Data point | Description | Data type |
|---|---|---|
github_url | GitHub profile URL | String |
github_username | GitHub profile username | String |
github_mapping_confidence | Confidence level that the mapping to the GitHub profile is correct
| Number (integer) |
github_contributions_count | Number of GitHub contributions | Number (integer) |
github_repos_summary | Summary of GitHub repository information for a specific person | Array of structs |
name | Repository name | String |
summary | Repository summary | String |
stars | Repository stars | Number (integer) |
contributions_count | Number of GitHub contributions | Number (integer) |
See a snippet of the dataset for reference:
Data point | 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:
Data point | 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:
Data point | Description | Data type |
|---|---|---|
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:
Data point | 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:
Data point | Description | Data type |
|---|---|---|
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 |
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:
Data point | 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:
Data point | 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:
Data point | 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:
Data point | 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:
Data point | 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: