This page details the Person Data that we provide through our Person APIs, such as Person Enrichment and Person Search .
For access to fields beyond the Base Person Fields, please speak to one of our data consultants .
📘 Formatting Notes
The dot notation indicates that the field is a key within an object.
For more information about data formatting, see Data Types .
These fields are available to all customers by default.
Description
A unique persistent identifier for the person.
Data Type
String
The ID is a unique, persistent, and hashed value that represents a specific person. See https://docs.peopledatalabs.com/docs/persistent-ids for more information.
🚧 Upcoming Person ID Maximum Length Change in October 2023
We will be adjusting the maximum character length of PDL Persistent Person IDs . We will be launching this change in October 2023 to allow for ample time to adjust any of your processes impacted by this change.
Currently, IDs are 27 characters long. We recommend allowing for a 64 character maximum for our IDs and will not have any IDs beyond this length, but in practice we expect the changes to result in IDs closer to 32 characters in length. Existing IDs will not change or change length. Only newly created IDs will have the new length.
JSON
"id": "qEnOZ5Oh0poWnQ1luFBfVw_0000"
Description
The person's full name.
Data Type
String
The first and the last name fields appended with a space.
JSON
"full_name": "sean thorne"
Description
The person's first name.
Data Type
String
The person's first name.
Description
The first letter of the person's middle name.
Data Type
String (1 character)
The first letter of the person's middle name.
Description
The person's middle name.
Data Type
String
The person's middle name.
Description
The first letter of the person's last name.
Data Type
String (1 character)
The first letter of the person's last name.
Description
The person's last name.
Data Type
String
The person's last name.
Description
The person's gender.
Data Type
Enum (String)
The value will always be one of our Canonical Genders .
If this field exists, birth_year
will agree with it.
JSON
"birth_date": "1990-12-02"
Description
The year the person was born.
Data Type
Integer
The approximated birth year associated with this person profile. If a profile has a birth_date
, the birth_year
field will match it.
Description
The person's mobile phone number.
Data Type
String (Phone)
The mobile_phone
field is generated from a highly confident source of mobile phones. We've hand-validated a sample of these and seen over 90% accuracy.
JSON
"mobile_phone": "+15558675309"
For more detailed metadata on individual phone numbers, see the phones
field in our Person Risk Attributes dataset.
JSON
"phone_numbers": [
"+15558675309"
]
Description
Email addresses associated with the person.
Data Type
Array [Object]
Each email associated with the person will be added to this list as its own object. The Person Risk Attributes dataset will add more fields per email.
Field Data Type Description address
String
The fully parsed email address type
Enum (String)
The type of email, must be one of our Canonical Email Types
Description
All personal emails associated with the person.
Data Type
Array [String]
The list of all emails
tagged as type = personal
.
Description
The best available email to reach a person.
Data Type
String
This field is generated by analyzing the all of a person's emails in the personal_emails
list to identify the best available email.
Through testing, we’ve found that using the email identified in recommended_personal_email
versus selecting a random email address from personal_emails
resulted in ~37% higher deliverability.
Description
The person's current work email.
Data Type
String
The value for this field must use valid email address formatting.
For more information on our standard location fields, see https://docs.peopledatalabs.com/docs/data-types#locations .
Description
The location of the person's current address.
Data Type
String
JSON
"location_name": "berkeley, california, united states"
Description
The locality of the person's current address.
Data Type
String
JSON
"location_locality": "berkeley"
Description
The region of the person's current address.
Data Type
String
JSON
"location_region": "california"
Description
The metro of the person's current address. One of our Canonical Metros .
Data Type
Enum (String)
JSON
"location_metro": "san francisco, california"
JSON
"location_country": "united states"
JSON
"location_continent": "north america"
JSON
"location_street_address": "455 fake st"
JSON
"location_address_line_2": "apartment 12"
Description
The postal code of the person's current address.
Data Type
String
JSON
"location_postal_code": "94704"
Description
The geo code of the city center of the person's current address.
Data Type
String
JSON
"location_geo": "37.87,-122.27"
Description
The timestamp that a new data source contributed to the record for the person's current address.
Data Type
String (Date)
An update is the time when either new information is added to the record or existing information is validated.
JSON
"location_last_updated": "2018-11-05"
Description
All location names associated with the person.
Data Type
Array [String]
JSON
"location_names": [
"berkeley, california, united states",
"san francisco, california, united states"
]
Description
All regions associated with the person.
Data Type
Array [String]
JSON
"regions": [
"california, united states"
]
Description
All countries associated with the person.
Data Type
Array [Enum (String)]
JSON
"countries": [
"united states"
]
Description
All street addresses associated with the person.
Data Type
Array [Object]
Each address associated with the person will be added to this list as its own object. The Person Risk Attributes dataset will add more fields per address.
For more information about each field, see Common Location Fields
JSON
"street_addresses": [
{
"name": "berkeley, california, united states",
"locality": "berkeley",
"metro": "san francisco, california",
"region": "california",
"country": "united states",
"continent": "north america",
"street_address": "455 fake st",
"address_line_2": "apartment 12",
"postal_code": "94704",
"geo": "37.87,-122.27"
}
]
We currently cover person social profiles on our Canonical Profile Networks . All profiles we've found for a person will be added to the profiles
list.
Each social profile URL has one or more standard formats that we parse and turn into a standard PDL format for that social URL. We invalidate profiles that have non-valid person stubs (for example, linkedin.com/company
), and we also have a blacklist of usernames that we know are invalid.
We do not validate if a URL is valid (that is, whether you can access it) because doing this at scale is considered a Direct Denial of Service (DDoS) attack and/or a form of crawling. This is highly discouraged! We try to mitigate invalid URLs as much as possible by using Entity Resolution (Merging) to link URLs together and then tagging the primary URL at the top level for key networks.
Description
The person's LinkedIn profile URL based on source agreement.
Data Type
String
JSON
"linkedin_url": "linkedin.com/in/seanthorne"
Description
The person's LinkedIn profile username based on source agreement.
Data Type
String
JSON
"linkedin_username": "seanthorne"
Description
The person's LinkedIn profile ID based on source agreement.
Data Type
String
JSON
"linkedin_id": "145991517"
Description
The person's Facebook profile URL based on source agreement.
Data Type
String
JSON
"facebook_url": "facebook.com/deseanthorne"
Description
The person's Facebook profile username based on source agreement.
Data Type
String
JSON
"facebook_username": "deseanthorne"
Description
The person's Facebook profile ID based on source agreement.
Data Type
String
JSON
"facebook_id": "1089351304"
Description
The person's Twitter profile URL based on source agreement.
Data Type
String
JSON
"twitter_url": "twitter.com/seanthorne5"
Description
The person's Twitter profile username based on source agreement.
Data Type
String
JSON
"twitter_username": "seanthorne5"
Description
The person's GitHub profile URL based on source agreement.
Data Type
String
JSON
"github_url": "github.com/deseanathan_thornolotheu"
Description
The person's GitHub profile username based on source agreement.
Data Type
String
JSON
"github_username": "deseanathan_thornolotheu"
Description
Social profiles associated with the person.
Data Type
Array [Object]
Each profile associated with the person will be added to this list as its own object. The Person Risk Attributes dataset will add more fields per social profile.
Field Data Type Description url
String
The profile URL. id
String
The profile ID (format varies based on social network). network
Enum (String)
The social network the profile is on. Must be one of our Canonical Profile Networks . username
String
The profile username.
JSON
"profiles": [
{
"network": "linkedin",
"id": "145991517",
"url": "linkedin.com/in/seanthorne",
"username": "seanthorne"
}
]
These fields describe the person's most recent work experience.
Description
The person's current job title.
Data Type
String
The person's current job title.
JSON
"job_title": "co-founder and chief executive officer"
Description
The derived role of the person's current job title.
Data Type
Enum (String)
The value will be one of our Canonical Job Roles .
JSON
"job_title_role": "operations"
Description
The derived subrole of the person's current job title.
Data Type
Enum (String)
The value will be one of our Canonical Job Sub Roles . Each subrole maps to a role. See https://docs.peopledatalabs.com/docs/title-subroles-to-roles for a complete mapping list.
JSON
"job_title_sub_role": "logistics"
Description
The derived level(s) of the person's current job title.
Data Type
Array [Enum (String)]
Each level in the list will be one of our Canonical Job Title Levels .
Note: The cxo
level is a catch-all for "Chief __ Officer" roles, so a CEO, CIO, CTO, etc. will all have job_title_levels: ["cxo"]
.
JSON
"job_title_levels": ["cxo", "owner"]
Description
The timestamp that a new data source contributed to the record for the person's current job.
Data Type
String (Date)
An update is the time when either new information is added to the record or existing information is validated.
JSON
"job_last_updated": "2018-11-05"
Description
The date the person started their current job.
Data Type
String (Date)
JSON
"job_start_date": "2015-03"
These fields describe the company the person currently works at. These fields will match the corresponding values in our Company Schema and will use the same formatting and parsing logic.
Description
The person's current company's PDL ID .
Data Type
String
JSON
"job_company_id": "peopledatalabs"
Description
The person's current company's name .
Data Type
String
JSON
"job_company_name": "people data labs"
Description
The person's current company's website .
Data Type
String
JSON
"job_company_website": "peopledatalabs.com"
Description
The person's current company's size range .
Data Type
Enum (String)
JSON
"job_company_size": "51-200"
Description
The person's current company's founding year .
Data Type
Integer (> 0)
JSON
"job_company_founded": 2015
Description
The person's current company's industry .
Data Type
Enum (String)
JSON
"job_company_industry": "computer software"
Description
The person's current company's LinkedIn URL .
Data Type
String
JSON
"job_company_linkedin_url": "linkedin.com/company/peopledatalabs"
Description
The person's current company's LinkedIn ID .
Data Type
String
JSON
"job_company_linkedin_id": "18170482"
Description
The person's current company's Facebook URL .
Data Type
String
JSON
"job_company_facebook_url": "facebook.com/peopledatalabs"
Description
The person's current company's Twitter URL .
Data Type
String
JSON
"job_company_twitter_url": "twitter.com/peopledatalabs"
Description
The person's current company's headquarters' location name .
Data Type
String
JSON
"job_company_location_name": "san francisco, california, united states"
Description
The person's current company's headquarters' locality .
Data Type
String
JSON
"job_company_location_locality": "san francisco"
Description
The person's current company's headquarters' region .
Data Type
String
JSON
"job_company_location_region": "california"
Description
The person's current company's headquarters' metro area .
Data Type
Enum (String)
JSON
"job_company_location_metro": "san francisco, california"
Description
The person's current company's headquarters' country .
Data Type
Enum (String)
JSON
"job_company_location_country": "united states"
Description
The person's current company's headquarters' continent .
Data Type
Enum (String)
JSON
"job_company_location_continent": "north america"
Description
The person's current company's headquarters' street address .
Data Type
String
JSON
"job_company_location_street_address": "455 market st"
JSON
"job_company_location_address_line_2": "suite 1670"
Description
The person's current company's headquarters' postal code .
Data Type
String
JSON
"job_company_location_postal_code": "94105"
JSON
"job_company_location_geo": "37.77,-122.41"
Description
The most relevant industry for this person based on their work history.
Data Type
Enum (String)
A person's industry is determined based on their tagged personal industries and the industries of the companies that they have worked for.
The value will be one of our Canonical Industries .
JSON
"industry": "computer software"
Description
The person's self-reported interests.
Data Type
Array [String]
Each interest is cleaned (lowercased, stripped of whitespace, etc.). We don't have a finite lists of interests but we remove profanity, etc.
Description
The person's self-reported skills.
Data Type
Array [String]
Each skill is cleaned (lowercased, stripped of whitespace, etc.). We do not always strip punctuation because it can be relevant for some skills (ex: "c++"
vs "c"
).
We do not do any canonicalization, so "java"
and "java 8.0"
are considered separate skills. For this reason, we encourage our customers to use fuzzy text matching with the skills
field.
The Skill Enrichment API can help find similar skills.
JSON
"skills": [
"entrepreneurship"
]
Description
The person's work experience.
Data Type
Array [Object]
The order of work experience in the list is determined by recency and associativity. The experience object that is tagged as experience.is_primary = True
is copied over to the flattened job_
fields (see Current Job and Current Company ).
The Person Risk Attributes dataset will add more fields per work experience.
Each work experience object contains the following fields:
Field Data Type Description company
Object
The company where the person worked. location_names
Array [String]
Locations where the person has worked while with this company (if different from the company HQ). end_date
String (Date)
The date the person left the company. If the person is still working for the company, will be null
. start_date
String (Date)
The date the person started at the company. title
Object
The person's job title while at the company. is_primary
Boolean
Whether this is the person's current job or not. If true
, this experience will be used to populate the job_
fields.
The fields in experience.company
map to the corresponding fields in our Company Schema . The same parsing and formatting logic apply.
See Current Job for more details on the specific fields.
JSON
"experience": [
{
"company": {
"name": "people data labs",
"size": "11-50",
"id": "peopledatalabs",
"founded": 2015,
"industry": "computer software",
"location": {
"name": "san francisco, california, united states",
"locality": "san francisco",
"region": "california",
"metro": "san francisco, california",
"country": "united states",
"continent": "north america",
"street_address": "455 market street",
"address_line_2": "suite 1670",
"postal_code": "94105",
"geo": "37.77,-122.41"
},
"linkedin_url": "linkedin.com/company/peopledatalabs",
"linkedin_id": "18170482",
"facebook_url": "facebook.com/peopledatalabs",
"twitter_url": "twitter.com/peopledatalabs",
"website": "peopledatalabs.com"
},
"location_names": ["san francisco, california, united states"],
"end_date": null,
"start_date": "2015-03",
"title": {
"name": "chief executive officer and co-founder",
"role": "operations",
"sub_role": "logistics",
"levels": ["cxo", "owner"]
},
"is_primary": true
},
]
Description
The person's education information.
Data Type
Array [Object]
The education objects associated with this person profile, which, when output in CSV format, have indexing based on recency and associativity.
Each education object in the list will include the following data:
Field Data Type Description school
Object
The school the person attended. end_date
String (Date)
The date the person left the school. If the person is still at the school, will be null
. start_date
String (Date)
The date the person started at the school. gpa
Float
The GPA the person earned at the school. degrees
Array [Enum (String)]
The degrees the person earned at the school. All values will be Canonical Education Degrees majors
Array [Enum (String)]
All majors earned at the school. All values will be Canonical Education Majors . minors
Array [Enum (String)]
All minors earned at the school. All values will be Canonical Education Majors .
To tap into our school matching logic, use our School Cleaner API to retrieve possible school values.
Field Sub Field Data Type Description name
String
The name of the school. type
Enum (String)
The school type. Will be one of our Canonical School Types . id
String
The NON-PERSISTENT ID for the school in our records. location
Object
The location of the school. See Common Location Fields for detailed field descriptions. name
String
locality
String
region
String
country
Enum (String)
continent
Enum (String)
linkedin_url
String
The school's LinkedIn URL linkedin_id
String
The school's LinkedIn ID facebook_url
String
The school's Facebook URL twitter_url
String
The school's Twitter URL website
String
The website URL associated with the school, which could include subdomains. domain
String
The primary website domain associated with the school.
JSON
"education": [
{
"school": {
"name": "university of oregon",
"type": "post-secondary institution",
"id": "64LkgfdwWYkCC2TjbldMDQ_0",
"location": {
"name": "eugene, oregon, united states",
"locality": "eugene",
"region": "oregon",
"country": "united states",
"continent": "north america"
},
"linkedin_url": "linkedin.com/school/university-of-oregon",
"linkedin_id": "19207",
"facebook_url": "facebook.com/universityoforegon",
"twitter_url": "twitter.com/uoregon",
"website": "uoregon.edu",
"domain": "uoregon.edu"
},
"end_date": "2014",
"start_date": "2010",
"gpa": null,
"degrees": [],
"majors": [
"entrepreneurship"
],
"minors": []
},
]
Description
An identifier for an operation in a Data License delivery, used for troubleshooting.
Data Type
String
This field exists only in Data License deliveries, and allows PDL employees to identify the timestamp and operations performed on the internal data in order to return a record in a delivery.
JSON
"operation_id": "acee3bde2e1a2cb7e75c57b80d5b7bc2d5de5b02e7ea51f91304c28df77251dc"
Description
The major or minor release number.
Data Type
String
This field currently exists in Person Enrichment API responses only.
Note: This number corresponds to the data release number , not the API release number.
JSON
"dataset_version": "19.2"
❗️ DEPRECATION NOTICE
This object has been deprecated in API responses.
Description
Metadata about the version of the dataset used to retrieve this record.
Data Type
Object
This object tracks the pervious and current dataset version, and any other persistent IDs that were merged into this record using improved entity resolution and the status of the record.
Field Data Type Description contains
Array [String]
The list of IDs that have been merged into this record since the last release. current_version
String
The current data version. previous_version
String
The previous data version. status
Enum (String)
The changes made to this record between the previous release and the current one. One of our Canonical Version Statuses .
JSON
"version_status": {
"contains": [
"qEnOZ5Oh0poWnQ1luFBfVw_0000"
],
"current_version": "15",
"previous_version": "14",
"status": "updated"
}
These are premium identity-risk-related fields with enhanced tracking and sourcing information.
Field Data Type Description first_seen
String (Date)
The date that this entity was first associated with the Person record. last_seen
String (Date)
The date that this entity was last associated with the Person record. num_sources
Integer (> 0)
The number of sources that have contributed to the association of this entity with the Person record.
The subfields are available for every record in the following fields:
JSON
"profiles // emails // experience // street_addresses": [
{
...
"first_seen": "2017-06-02",
"last_seen": "2019-07-18",
"num_sources": 17
}
]
Description
The list of phone numbers associated with this record.
Data Type
Array [Object]
Each phone number object in this list will contain the following information.
Field Data Type Description number
String (Phone)
The phone number. first_seen
String (Date)
The date that this number was first associated with this record. last_seen
String (Date)
The date that this number was last associated with this record. num_sources
Integer (> 0)
The number of sources that have contributed to the association of this profile with this record.
JSON
"phones": [
{
"number": "+15558675309",
"first_seen": "2017-06-02",
"last_seen": "2019-07-18",
"num_sources": 17
}
]
Description
The number of LinkedIn connections the person has.
Data Type
Integer (>= 0)
Typically between 0-500.
JSON
"linkedin_connections": 432
Description
The number of Facebook friends the person has.
Data Type
Integer (>= 0)
Description
Any other names the person goes by.
Data Type
Array [String]
Any associated names or aliases besides the primary one used in the full_name
field.
JSON
"name_aliases": [
"andrew nichol",
"r andrew nichol",
"robert nichol"
]
PDL values high confidence data that is very likely to be associated with a person. The data in these fields have lower confidence than the data used in other fields.
Description
Email addresses associated with this person that have a lower level of confidence.
Data Type
Array [Object]
This field uses the same format as the emails
field, including first_seen
, last_seen
, and num_sources
.
JSON
"possible_emails": [
{
"address": "[email protected] ",
"type": null,
"first_seen": "2021-06-13",
"last_seen": "2021-06-13",
"num_sources": 2
}
]
Description
Phone numbers associated with this person that have a lower level of confidence.
Data Type
Array [Object]
This field uses the same format as the phones
field, including first_seen
, last_seen
, and num_sources
.
JSON
"possible_phones": [
{
"number": "+15558675309",
"first_seen": "2021-06-13",
"last_seen": "2021-06-13",
"num_sources": 2
}
]
Description
Social profiles associated with this person that have a lower level of confidence.
Data Type
Array [Object]
This field uses the same format as the profiles
field, including first_seen
, last_seen
, and num_sources
.
JSON
"possible_profiles": [
{
"network": "linkedin",
"id": "145991517",
"url": "linkedin.com/in/seanthorne",
"username": "seanthorne",
"first_seen": "2021-06-13",
"last_seen": "2021-06-13",
"num_sources": 2
}
]
Description
Addresses associated with this person that have a lower level of confidence.
Data Type
Array [Object]
This field uses the same format as the street_addresses
field, including first_seen
, last_seen
, and num_sources
.
JSON
"possible_street_addresses": [
{
"name": "berkeley, california, united states",
"locality": "berkeley",
"metro": "san francisco, california",
"region": "california",
"country": "united states",
"continent": "north america",
"street_address": "455 fake st",
"address_line_2": "apartment 12",
"postal_code": "94704",
"geo": "37.87,-122.27",
"first_seen": "2021-06-13",
"last_seen": "2021-06-13",
"num_sources": 2
}
]
Description
Birthdays associated with this person that have a lower level of confidence.
Data Type
Array [String (Date)]
The dates in this field use the same format as the birth_date
field.
JSON
"possible_birth_dates": [
"1991-05-26",
"1992-05-26"
]
Description
Locations associated with this person that have a lower level of confidence.
Data Type
Array [String]
This field uses the same format as the location_names
field.
Possible locations are inferred based on phone area codes, university location, and other associations.
JSON
"possible_location_names": [
"berkeley, california, united states",
"san francisco, california, united states"
]
Description
Any additional professional positions associated with this person.
Data Type
Array [Object]
Any additional job history information PDL has that is not included in the experience
field.
Usually these are positions that have been removed or changed on resumes.
Field Data Type Description company_id
String
PDL Company ID company_name
String
Company Name title
String
Job Title first_seen
String (Date)
The date that this experience was first associated with this record. last_seen
String (Date)
The date that this experience was last associated with this record. num_sources
Integer (> 0)
The number of sources that have contributed to the association of this profile with this record.
JSON
"job_history": [
{
"company_id": "auntie-annes",
"company_name": "auntie annes",
"title": "food service supervisor",
"first_seen": "2016-05-17",
"last_seen": "2020-05-30",
"num_sources": 12
}
]
Description
The number of unique raw records contributing to this specific PDL profile.
Data Type
Integer (> 0)
Description
The number of unique sources contributing to this specific PDL profile.
Data Type
Integer (> 0)
Description
The date when this record was first created in our data.
Data Type
String (Date)
JSON
"first_seen": "2017-06-02"
These are premium resume-related fields.
These fields contain the raw input used in other fields.
Description
Raw education data.
Data Type
String
Raw education data that was parsed into the degrees
, majors
, and minors
fields in the education
object.
JSON
"education": [
{
...
"raw": "bachelors of arts in entrepreneurship, business minor"
}
]
Description
Raw school name.
Data Type
String
Raw school name used to populate the education.school
object.
JSON
"education": [
{
"school": {
...
"raw": "university of oregon"
}
}
]
Description
Raw company name.
Data Type
Array [String]
Raw company name(s) used to populate the experience.company
object.
JSON
"experience": [
{
"company": {
...
"raw": [
"hallspot",
"hallspot, inc"
]
}
}
]
Description
Raw job title input.
Data Type
Array [String]
The lower cased job title raw input from our data sources used to populate the experience.title
object.
JSON
"experience": [
{
"title": {
...
"raw": [
"chief executive officer and co-founder"
]
}
}
]
These fields contain the user-inputted summaries for their experiences.
Description
User-inputted summary of their education.
Data Type
String
The summary is lowercased, but otherwise kept as-is from the raw source.
JSON
"education": [
{
...
"summary": "when i was at oregon i volunteered at a local homeless shelter 3 days a week"
}
]
Description
User-inputted summary of their work experience.
Data Type
String
The summary is lowercased, but otherwise kept as-is from the raw source.
JSON
"experience": [
{
...
"summary": "worked on the \"search analytics\" team to understand our users better"
}
]
Description
User-inputted summary of their current job.
Data Type
String
The summary is lowercased, but otherwise kept as-is from the raw source.
JSON
"job_summary": "worked on the \"search analytics\" team to understand our users better"
Description
User-inputted personal summary.
Data Type
String
The self-written summary tied to the person profile (often a LinkedIn summary.)
The summary is lowercased, but otherwise kept as-is from the raw source.
JSON
"summary": "growth-hacker and digital nomad"
Description
Any certifications the person has.
Data Type
Array [Object]
The certifications listed here are based on user input, we do not verify them.
Field Data Type Description name
String
Certification name organization
String
The organization awarding the certification. start_date
String (Date)
The date the certification was awarded. end_date
String (Date)
The expiration date of the certification.
JSON
"certifications": [
{
"name": "machine learning certification",
"organization": "coursera",
"start_date": "2022-03",
"end_date": "2023-04"
}
]
Description
Languages the person knows.
Data Type
Array [Object]
The languages listed here are based on user input, we do not verify them.
Field Data Type Description name
Enum (String)
The language. Must be one of our Canonical Languages . proficiency
Integer (1-5)
Self-ranked language proficiency from 1 (limited) to 5 (fluent).
JSON
"languages": [
{
"name": "english",
"proficiency": 5
}
]
Description
The company ticker.
Data Type
String
Corresponds to the Company Data ticker
field.
JSON
"experience": [
{
"company": {
...
"ticker": "goog"
}
}
]
Description
The company type.
Data Type
Enum (String)
Must be one of our Canonical Company Types . Corresponds to the Company Data type
field.
JSON
"experience": [
{
"company": {
...
"type": "public"
}
}
]
Description
The company ticker for the person's current job.
Data Type
String
Corresponds to the Company Data ticker
field.
JSON
"job_company_ticker": "goog"
Description
The company type for the person's current job.
Data Type
Enum (String)
Must be one of our Canonical Company Types . Corresponds to the Company Data type
field.
JSON
"job_company_type": "public"
Description
The 8-digit O*NET code for the person’s current job title.
Data Type
String
The 8-digit O*NET code for the person’s current job title, following the 2018 SOC guidelines .
JSON
"job_onet_code": "11-1011.00"
Description
The O*NET Major Group associated with the person’s current job title.
Data Type
String
JSON
"job_onet_major_group": "Management Occupations"
Description
The O*NET Minor Group associated with the person’s current job title.
Data Type
String
JSON
"job_onet_minor_group": "Top Executives"
Description
The O*NET Broad Occupation associated with the person’s current job title.
Data Type
String
JSON
"job_onet_broad_occupation": "Chief Executives"
Description
The O*NET Specific Occupation associated with the person’s current job title.
Data Type
String
JSON
"job_onet_specific_occupation": "Chief Executives"
Description
A more detailed job title classification than O*NET Specific Occupation.
Data Type
String
A more detailed job title for records where the specific occupation within O*NET's standard hierarchy isn't granular enough to accurately describe the job title.
For example, the highest level of granularity in O*NET for C-suite positions is Chief Executives. With this field, we can specify the type of executive role.
JSON
"job_onet_specific_occupation_detail": "Chief Technology Officer"
Description
The inferred salary range (USD) for the person's current job.
Data Type
Enum (String)
Must be one of our Canonical Inferred Salary Ranges .
JSON
"inferred_salary": "70,000-85,000"
Description
The person's inferred years of total work experience.
Data Type
Integer (0 - 100)
The value will be between 0 and 100.
JSON
"inferred_years_experience": 7