Data Dictionary
Dictionary contains explanations and examples of all data fields available in the Indeed Companies dataset.
Metadata
Record metadata
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 Indeed
Boolean
See a snippet of the dataset for reference:
Profile metadata
doc
Dataset starting point
Object
id
Record identifier in our database
String
source_id
Record identifier on Indeed
String
url
Indeed profile URL
String
Social media and websites
facebook
Facebook profile URL
String
twitter
Twitter page URL
String
link
Company's website
String
See a snippet of the dataset for reference:
Firmographics
name
Name
String
description
Description
Note: contains control characters
String
logo
Logo URL
String
founded
Founding year
Integer
industry
Associated industry
String
revenue
Revenue **Note: **contains control characters
String
See a snippet of the dataset for reference:
Company size and location
location
Main location
String
headquarters
Headquarters location
String
country
Location (country)
String
company_size
Company size
String
See a snippet of the dataset for reference:
CEO
ceo
Details on the company's CEP
Object
name
Name
String
image_url
Avatar URL
String
approval_rating
Approval rating
Float
See a snippet of the dataset for reference:
Open jobs
open_job_count
Active job postings on Indeed
Integer
See a snippet of the dataset for reference:
Ratings
Overall rating
rating
Average star rating
Float
review_count
Number of reviews
Integer
See a snippet of the dataset for reference:
Interview ratings
interview_difficulty
Interview difficulty score derived from user reviews
String
interview_difficulty_count
Number of reviews mentioning interview difficulty
Integer
interview_duration
Interview process length according to user reviews
String
interview_duration_count
Number of reviews mentioning interview process length
Integer
interview_experience
Interview experience according to user reviews
String
interview_experience_count
Number of reviews mentioning interview experience
Integer
See a snippet of the dataset for reference:
Employment and corporate ratings
review_compensation_benefit
Compensation and benefits rating
Float
review_culture
Company culture rating
Float
review_job_security_advancement
Job security and advancement at the company rating
Float
review_management
Company's management rating
Float
review_worklife_balance
Work-life balance rating
Float
See a snippet of the dataset for reference:
Other companies
people_also_viewed
Other company profiles viewed by users
Array of objects
url
Profile URL
String
logo
Logo URL
String
name
Name
String
rating
Overall rating
Float
review_count
Total number of reviews
Integer
See a snippet of the dataset for reference:
Last updated
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