Data Dictionary

Dictionary contains explanations and examples of all data fields available in the Indeed Jobs dataset.

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 points by category

1. Metadata

2. Employer information

3. Job ad information

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

Metadata

Record metadata

Data point	Description	Data type
meta	Contains metadata about the record	Object
created_at_date	Date when the record was initially scraped	Array of numbers (integer)
created_at_timestamp	Unix timestamp for when the record was first scraped	Float
updated_at_date	Date when the record was last updated	Array of numbers (integer)
updated_at_timestamp	Unix timestamp for when the record was last updated	Float
version_id	Identifier for the dataset version	String
source	Source from which the record was obtained	String
object	Type of data object or entity described	String
is_deleted	Indicates if the record is available on Indeed	Boolean

See a snippet of the dataset for reference:

Record metadata

"_meta": {
	"created_at_date": [
		2024,
		3,
		23
	],
	"created_at_timestamp": 1711193597.593582,
	"updated_at_date": [
		2024,
		11,
		1
	],
	"updated_at_timestamp": 1714526353.072543,
	"version_id": "edaaaea6",
	"source": "indeed",
	"object": "job",
	"is_deleted": false
},

Job posting metadata

Data point	Description	Data type
company_id	Employing company identifier in our database	String
expired	Indicates active job postings on Indeed	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_01e1c7b192023d17",
"source_id": "01e1c7b192023d17",
"expired": false,
"company_id": "www.example-company.com",

Data point	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 point	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 point	Description	Data type
company	Hiring company	String
location	Job location	String
indeed_origin_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",
"indeed_origin_country": "United States",
"company_website": "https:/indeed.com/cmp/example-company",
"company_tier": "Enterprise",

Employer ratings

Data point	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 point	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 type. Field supports multiple values (e.g., ["Full-time", "Internship"])	Array
date_published	Job publishing date	String
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?jk=01e1c7b192023d17",
"title": "Garden Center Laborer",
"description": "We are looking for self-motivated, detail-oriented individuals with a desire to learn, who want to hit the ground running and love to work outside. Our goal as a company, and your responsibility as a merchandiser, will be excellent presentation/display and maintenance of live shrubs, trees, roses, perennials and seasonal items within a retail garden center. You will be responsible for following plan-o-grams, maintaining signage and aesthetics standards, as well as assisting shoppers inside a big-box garden center. Responsibilities: Display plant material according to set standards Ensure safe construction and location of displays Set up, restock, and take down marketing displays - reorganizing as needed and refilling displays as shipments arrive Maintain and help sell plant material - includes watering, signing, & pruning Converse with customers as they request assistance and/or have questions Effectively communicate with supervisor, store employees, other service teams Keep a clean work area Qualifications: Previous experience in merchandising, retail/sales, customer service, horticulture, landscaping, or other related fields preferred Ability to handle physical workload - consistently lift and move up to 60 lbs. throughout the day Ability to thrive in a fast-paced environment Deadline and detail-oriented Excellent communication & organizational skills Able to work both independently and with others Minimum age of 18 Reliable transportation & valid driver's license Job Type: Part-time Pay: From $18.00 per hour Expected hours: 20 \u2013 35 per week Schedule: Day shift Monday to Friday Weekends as needed Education: High school or equivalent (Preferred) Experience: Merchandising: 1 year (Preferred) Ability to Relocate: Kingston, NY 12401: Relocate before starting work (Required) Work Location: In person",
"job_type": ["Part-time", "Internship"],
"date_published": "2025-07-01",
"hire_count": 1,
"is_fair_chance": true,
"job_age": "Today",
"organic_applications": 10

Related URLs

Data point	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?jk=01e145455554d1ab8e826555567cdbb&from=vj&pos=top&mvj=0&spon=0&sjdu=YmZE5d5THV8u75cuc0H6Y26AwfY51UOGmh3Z9h4OvXhehQMtJEjWU6b6AKkEZYh1BTeYh64EnQ2ugBkMs893TKsU9slnRwvr-MPI2KggqF6HxdGGDbdZU9MF5zx_Nlsj3oZrAeMfBg4v1MFrV7PwVH1yT5WHm1pCOZ5rthkWFAfPyDV0PUP5DOPeginra4_3CITeI_Azw3KcSOf4X9Vh1Q&asub=mob&astse=b42d8406276e6090&assa=2050",

Salary

Data point	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": 15.0,
        "salary_max": 19.0,
        "salary_type": "HOURLY",
        "salary_text": "$15 - $19 an hour"
      }

Job benefits

Data point	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 point	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 point	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 point	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
    }
  ],