Data Dictionary

Overview

Contains explanations and examples of all data fields available in the Glassdoor Jobs dataset.

All personal/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 posting 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.

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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	Data object type	String
is_deleted	Indicates if the record is available on Glassdoor	Boolean

See a snippet of the dataset for reference:

Meta fields

   "_meta": {
			"created_at_date": [
				2024,
				4,
				7
			],
			"created_at_timestamp": 1712509303.528965,
			"updated_at_date": [
				2024,
				4,
				7
			],
			"updated_at_timestamp": 1712518553.766945,
			"version_id": "b383eb8f",
			"source": "glassdoor",
			"object": "job",
			

A null value means that the information was not listed in the job posting

Job posting metadata

Data point	Description	Data point
doc	Dataset starting point	Object
id	Record identifier in our database	String
source_id	Job posting identifier on Glassdoor	String
company_id	Company profile identifier on Glassdoor	String
expired	Indicates if the job posting is still active	Boolean

See a snippet of the dataset for reference:

Meta information

"doc": {
      "id": "glassdoor_job_1007857703401",
      "source_id": "1007857703401",
      "company_id": "1144995",
      "expired": false,

Employer information

Data point	Description	Data point
company_name	Company name	String
image	Logo URL	String
country	Job location (country)	String
city	Job location (city)	String

See a snippet of the dataset for reference:

Employer information

"company_name": "Example Company",
"image": "https://media.glassdoor.com/banner/bh/5224839/example-company-banner-1676595688228.png",
"country": "United States",
"city": "Wilmington, DE",

Job posting information

Data point	Description	Data point
title	Job posting title	String
url	Job posting URL	String
description	Job description Note: Contains control characters	String
website	Employer's official website	String

Job posting information

"title": "Packer",
"url": "https://www.glassdoor.com/partner/jobListing.htm?pos=104&ao=1136444334043&s=58&guid=0000018eb2bc83f28ef8ca54bf261f31&src=GD_JOB_AD&t=SR&vt=w&ea=1&cs=1_7353e614&cb=17123666555695683073&jobListingId=100922477354455578&jrtk=5-yul1-0-1hqpbp117jga7800-4eabba0451ea6ee9",
"description": "<ul><li>Knowledge in Food Packing (By Bundle)</li><li>Knowledge in Loading and unloading</li><li>Good knowledge in English</li><li>Hardworking and Cooperative</li></ul><p>Job Type: Full-time</p><p>Salary: AED1,000.00 - AED1,200.00 per month</p><p>Ability to commute/relocate:</p><ul><li>Al Qusais: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Experience:</p><ul><li>Packer: 2 years (Required)</li><li>Loading &amp; Unloading: 2 years (Required)</li></ul>",
"website": "www.example-company.com/careers",

Salary

Data point	Description	Data type
salary	Job salary details	Object
min	Lower end of the salary	Integer
max	Upper end of the salary	Integer
currency	Salary currency	String
pay_period	Salary estimate pay period	String
salary_estimate_type	Employer's official salary estimate type (Glassdoor est., Employer est,)	String

See a snippet of the dataset for reference:

Salary

"salary": {
    "min": 72799,
    "max": 98728,
    "currency": "USD",
    "pay_period": "YEAR"
  },
"salary_estimate_type": "Employer est."