Dictionary: Multi-source Jobs Data
Find all data points with explanations available in the Multi-source Jobs Data.
Each category includes a table listing the available data points, their explanations, and data types.
Metadata
job_id
Unified job identifier across all sources
String
job_id_expired
Indicates whether the job cluster is now considered fully expired, with all related jobs deleted and expired. Responses are:
1 – expired. Field value will never change to 0 again;
0 – not expired
Integer
job_sources
List of job postings from different sources for the same job
Array of structs
source_id
Source-specific job ID
String
source
Name of the data source (Professional network, Indeed, Glassdoor, etc.)
String
updated_at
Last update timestamp from this source
Timestamp
url
URL of the job post in the source
String
status
Posting status:
Active,
Expired,
Deleted
String
created_at
Timestamp when the job record was first created
Timestamp
updated_at
Timestamp when the job record was last updated
Timestamp
date_posted
Posting date
Timestamp
valid_through
Expiry date
Timestamp
status
Unified status
1– active,2– expired,3– deleted
Integer
Refer to the table example from the data:
"job_id": "a1b2c3d4e5f6g7h8i9j0",
"job_id_expired": 1,
"job_sources": [
{
"source_id": "1234567890",
"source": "professional network",
"updated_at": "2025-07-01T05:53:10.535",
"url": "https://www.professional-network.com/jobs/service-specialist-1234567890",
"status": "deleted"
},
{
"source_id": "indeed_job_1a2b3c4d",
"source": "indeed",
"updated_at": "2025-07-10T00:21:00.000",
"url": "https://www.indeed.com/view-job?jk=1a2b3c4d",
"status": "inactive"
},
{
"source_id": "glassdoor_job_1020304050",
"source": "glassdoor",
"updated_at": "2025-07-22T03:54:10.504",
"url": "https://www.glassdoor.com/job-listing/service-specialist-?ab=1020304050",
"status": "inactive"
}
],
"created_at": "2025-06-02T00:06:00.000",
"updated_at": "2025-07-22T03:54:10.504",
"date_posted": null,
"valid_through": null,
"status": 3,Job information
title
Standardized job title
String
description
Cleaned full description
String
department
Department name
String
management_level
Management responsibility level
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
Boolean/integer
seniority
Level of seniority
String
functions
Standardized job functions
Array of strings
external_url
External (company) job URL
String
applicants_count
Number of applicants
String
employment_type
Standardised values to display one of the values: “Full-time “, “Part-time“, “Contract”, “Temporary“, “Internship“, “Volunteer“
String
shift_schedule
List of shift types (e.g., “Monday – Friday”)
Array of strings
accepts_remote
Accepts remote work
Boolean
is_urgently_hiring
Urgent hire
Boolean
is_easy_apply
Supports “quick apply”
Boolean
is_responsive_employer
Employer marked as responsive
Boolean
Refer to the table example from the data:
"title": "Backend Engineer",
"description": "We're looking for a skilled backend engineer to join our growing team.",
"department": "Engineering and Technical",
"management_level": "Specialist",
"is_decision_maker": false,
"seniority": "Mid-Senior level",
"functions": [
"Backend Engineer"
],
"external_url": null,
"applicants_count": "Be among the first 25 applicants",
"employment_type": "Full-time",
"is_urgently_hiring": false,
"is_easy_apply": false,
"is_responsive_employer": false,
"shift_schedule": [
"Monday to Friday"
],
"accepts_remote": false,Recruiter information
recruiter
Recruiter or contact data, if available
Struct
profile_url
Recruiter’s public profile URL
String
full_name
Full name
String
first_name
First name
String
middle_name
Middle name
String
last_name
Last name
String
Refer to the table example from the data:
"recruiter": {
"profile_url": "https://www.professional-network.com/john-doe",
"full_name": "John Doe",
"first_name": "John",
"middle_name": null,
"last_name": "Doe"
},Company information
company_ids
Source-specific company IDs
Struct
company_id
Professional network company ID
Long
gd_company_id
Glassdoor company ID
String
ind_company_id
Indeed company ID
String
company_name
Standardized company name
String
company_url
Company's website
String
company_domain
Cleaned the main company domain
String
company_logo_url
Logo URL (available from Professional network only)
String
company_description
Short description
String
company_size_range
Company size based on employee count range (as selected by the company profile administrator)
String
company_employees_count
Number of employees on Professional network who associated their experience with the company
Long
company_followers
Company's profile follower count on Professional network
Integer
company_industry
Primary industry
String
company_type
Company type
String
company_enriched_keywords
Categories and keywords that are assigned to the company profile and products across various platforms
Array of strings
company_hq_region
Detailed region where the company's headquarters is located
Array of strings
company_hq_country
Country where the company's headquarters is located
String
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_location
Headquarters location
String
company_hq_full_address
Full address of the headquarters
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
company_locations_full
List of company locations
Array of structs
location_address
Company location address
String
is_primary
Indicates if this is the primary company location
Integer
Refer to the table example from the data:
"company_ids": {
"company_id": 10779556,
"gd_company_id": null,
"ind_company_id": "Example-Company-1"
},
"company_name": "Example Company",
"company_url": "http://www.example-company.com",
"company_domain": "example-company.com",
"company_logo_url": "https://www.professional-network.com/logo.png",
"company_description": "Example Company provides innovative software solutions for businesses.",
"company_size_range": "501-1000 employees",
"company_employees_count": 1000,
"company_followers": 12345,
"company_industry": "Software",
"company_type": "Private",
"company_enriched_keywords": [
"AI",
"Cloud",
"SaaS",
"Business Tools"
],
"company_hq_region": [
"Americas",
"Northern America",
"AMER"
],
"company_hq_country": "United States",
"company_hq_country_iso2": "US",
"company_hq_country_iso3": "USA",
"company_hq_location": "Austin, TX, United States",
"company_hq_full_address": "123 Main Street; Suite 500; Austin, TX 78701, US",
"company_hq_city": "Austin",
"company_hq_state": "Texas",
"company_hq_street": "123 Main Street; Suite 500",
"company_hq_zipcode": "78701",
"company_locations_full": [
{
"location_address": "123 Main St, Cityville, USA",
"is_primary": true
}
],Company funding
company_last_funding_round_name
Last funding round (e.g., Series A)
String
company_last_funding_round_announced_date
Date of the latest funding round
Date
company_last_funding_round_lead_investors
Lead investors
Array of strings
company_last_funding_round_amount_raised
Amount raised in the most recent round
Long
company_last_funding_round_amount_raised_currency
Currency of the raised amount
String
company_last_funding_round_num_investors
Number of investors
Long
Refer to the table example from the data:
"company_last_funding_round_name": "Example funding round name",
"company_last_funding_round_announced_date": "2025-08-20",
"company_last_funding_round_lead_investors": [
"John Doe"
],
"company_last_funding_round_amount_raised": 10000000,
"company_last_funding_round_amount_raised_currency": "USD",
"company_last_funding_round_num_investors": 1,Company technologies
company_technologies_used
Technologies used by the company
Array of structs
technology
Technology name
String
first_verified_at
When was technology first verified
Date
last_verified_at
When was technology last verified
Date
Refer to the table example from the data:
"company_technologies": [
{
"technology": "figma",
"first_verified_at": "2023-06-01",
"last_verified_at": "2025-07-09"
},
{
"technology": "microsoft",
"first_verified_at": "2025-06-20",
"last_verified_at": "2025-08-04"
}
]Salary information
salary
All salary records for this job
Array of structs
min_value
Minimum advertised salary
Float
max_value
Maximum advertised salary
Float
currency
Salary currency
String
type
One of the following values: "Year", "Month", "Week", "Day", "Hour"
String
text
Raw/cleaned salary text
String
source
Source name
String
Refer to the table example from the data:
"salary": [
{
"min_value": 28.33,
"max_value": 43.11,
"currency": "USD",
"type": "HOUR",
"text": "$28.33 - $43.11 an hour",
"source": "indeed"
}
]Benefits
benefits
List of job benefits ("healthcare", "remote", etc.)
Array of strings
Refer to the table example from the data:
"benefits": [
"employee discount",
"life insurance",
"paid sick time",
"vision insurance",
"dental insurance",
"health savings account",
"health insurance"
]Last updated
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