Data Dictionary: Indeed Jobs

The Dictionary contains explanations and examples for all data fields available in the global Indeed Jobs dataset. Indeed Jobs offers constantly updated job postings sourced from one of the world's largest global job boards.

This data dictionary is refreshed according to the latest changes in our data.

All company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes.

Data fields by category

1. Metadata

2. Employer information

3. Job ad information

The data fields in the example snippets have been rearranged for better grouping. To see where a specific data field stands, check the full data sample here.

Metadata

Record metadata

Data field	Description	Data type
date_published	Record's publishing date	Long
created_at	Date when the record was initially scraped	Timestamp
updated_at	Date when the record was last updated	Timestamp
processed_at	Exposes when data was processed on our side (reparsing, reloads, data quality fixes)	Timestamp
deleted	Indicates if the record is available on Indeed: 1 – is deleted 0 – is not deleted	Integer

See a snippet of the dataset for reference:

Record metadata

"date_published": 1691643600000,
"deleted": 0,
"created_at": "2025-12-01 08:00:00",
"updated_at": "2025-12-01 08:00:00",
"processed_at": "2025-12-02 08:00:00"

Jobs metadata

Data field	Description	Data type
company_id	Employing company identifier in our database	String
expired	Indicates whether the posting has expired on Indeed (true) or is still active (false). Expired records are retained in the archive and are valuable for historical hiring trend analysis	Boolean
id	Record identifier in our database	String
source_id	Record identifier on Indeed	String

See a snippet of the dataset for reference:

Job posting metadata

"id": "indeed_job_0123abc7",
"source_id": "0123abc7",
"expired": false,
"company_id": "www.example-company.com",

Data field	Description	Data type
is_sponsored	Marks whether the job is a sponsored ad	Boolean
is_featured_employer	Marks whether the company is a featured employer on the website	Boolean
is_urgently_hiring	Marks whether the card urgently hiring is displayed	Boolean
is_easy_apply	Marks whether the card easy apply is displayed	Boolean
is_responsive_employer	Marks whether the card responsive employer is displayed	Boolean
is_multiple_candidates	Marks whether the card multiple candidates is displayed	Boolean
accepts_remote	Marks whether the company offers remote work possibility	Boolean

See a snippet of the dataset for reference:

Main details

"is_sponsored": false,
"is_featured_employer": false
"is_urgently_hiring": false,
"is_easy_apply": false,
"is_responsive_employer": false,
"is_multiple_candidates": false,
"accepts_remote": false

Advertisement details

Data field	Description	Data type
advertisement_id	Advertisement identifier	String
advertisement_number	Advertisement number	Number (integer)

See a snippet of the dataset for reference:

Advertisement details

	"advertisement_id": "59519634-373-402",
	"advertisement_number": 2938830390970469

Employer information

Main details

Data field	Description	Data type
company	Hiring company	String
location	Job location	String
country	Job country	String
company_website	Employer's profile on Indeed	String
company_tier	Company’s tier or size level	String

See a snippet of the dataset for reference:

Main details

"company": "Example Company",
"location": "Kingston, NY 12401",
"country": "United States",
"company_website": "https:/indeed.com/cmp/example-company",
"company_tier": "Enterprise",

Employer ratings

Data field	Description	Data type
company_star_rating	Average star rating based on company reviews	Float
company_review_count	Number of company reviews	Integer

See a snippet of the dataset for reference:

Ratings

"company_star_rating": 3.3,
"company_review_count": 98,

Job ad information

Main details

Data field	Description	Data type
url	Job posting URL on Indeed	String
title	Job title	String
description	Job position description Note: contains control characters	String
job_type	Offered employment types	Array of strings
hire_count	Shows how many positions are available for the job	Integer
is_fair_chance	Indicates if the job supports fair chance (e.g., for applicants with records)	Boolean
job_age	Specifies how old the job posting is (e.g., “3 days ago”)	String
organic_applications	Number of organic applications received (non-sponsored)	Integer

See a snippet of the dataset for reference:

Main details

"url": "https://www.indeed.com/viewjob?example",
"title": "Data analyst",
"description": "We are looking for self-motivated, detail-oriented individuals with a desire to learn. Job Type: Part-time Pay: From $38.00 per hour Expected hours: 20 \u2013 35 per week Schedule: Day shift Monday to Friday Weekends as needed Ability to Relocate: Kingston, NY 12401: Relocate before starting work (Required) Work Location: In person",
"job_type": ["Part-time", "Full-time"],
"hire_count": 1,
"is_fair_chance": true,
"job_age": "Today",
"organic_applications": 10

Related URLs

Data field	Description	Data type
website	Company's website/career website	string
job_link	Job posting on the company's career site	string

See a snippet of the dataset for reference:

Related URLs

"website": "www.example-company.com/careers",
"job_link": "https://www.indeed.com/applystart?example",

Salary

Data field	Description	Data type
salary	Offered salary details	Object
salary_min	Lower end of the salary range	Float
salary_max	Higher end of the salary range	Float
salary_type	Indicates the salary type for the job	String
salary_text	Additional notes	String

See a snippet of the dataset for reference:

Salary

"salary": {
        "salary_min": 35.0,
        "salary_max": 39.0,
        "salary_type": "HOURLY",
        "salary_text": "$35 - $39 an hour"
      }

Job benefits

Data field	Description	Data type
benefits	Offered benefits	Array of strings

See a snippet of the dataset for reference:

Benefits

"benefits": [
                "Dental care",
                "On-site parking"
            ],

Required qualifications

Data field	Description	Data type
qualifications	Required qualifications	Array of strings

See a snippet of the dataset for reference:

Qualifications

"qualifications": [
                "Bachelor's (Preferred)",
                "Total work: 1 year (Preferred)",
                "Academic counseling: 1 year (Preferred)",
                "English (Preferred)"
            ],

Shift schedule

Data field	Description	Data type
shift_schedule	Expected shift schedule for the job position	Array of strings

See a snippet of the dataset for reference:

Shift schedule

"shift_schedule": [
    "Weekends as needed",
    "Evenings as needed",
    "Holidays"
  ],

Attributes

Data field	Description	Data type
attributes	List of job attributes	Struct
key	Attribute key	String
label	Attribute label	String
highlighted	Marks if the attribute is highlighted	Boolean

See a snippet of the dataset for reference:

Attributes schedule

  "attributes": [
    {
      "key": "H3ZFF",
      "label": "Paid weekly",
      "highlighted": true
    }
  ],