3.3 – Data Dictionnary

Our data extraction methodology ensures a robust collection of structured information for all jobs
and also on multiple company career pages globally unified into one.

Our coverage spans hundreds of 1000s of company career pages directly.

It encompasses a wide range of job categories, locations, and details, enabling users to gain
comprehensive insights into employment trends, salary ranges, job types, and more. We deploy
advanced techniques like AI/LLM models and more to ensure accuracy, currency, and depth in the
information retrieved.

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#	Name	Id	Type	Description
1	Company Identifier	company_id	String	A unique identifier is assigned to each company.
2	City	city	String	The city where the job is located.
3	Job Category	category	String	The category or type of job (e.g., Retail Jobs.
4	Remote Work	remote	Boolean	Indicates whether the job allows remote work.
5	Job Description	job_description	String	Detailed information about the job role and responsibilities.
6	Contract Time	contract_time	String	The duration or type of contract (e.g., full-time.
7	Minimum Salary	salary_min	Number	The minimum salary offered for the job.
8	Maximum Salary	salary_max	Number	The maximum salary offered for the job.
9	Geo Longitude	geo_lng	Number	The longitude coordinate of the job location.
10	Job ID	job_id	String	A unique identifier is assigned to each job posting.
11	Job Location	job_location	String	The specific location (city, state, country of the job.
12	Job Title	job_title	String	The job title or position.
13	Company Name	company_name	String	The official name of the company offering the job.
14	EIN	ein	String	Employer Identification Number.
15	Salary Frequency	salary_frequency	String	Frequency of salary payment.
16	Salary Currency	salary_currency	String	The currency used for salary figures.
17	Geo Latitude	geo_lat	Number	The latitude coordinate of the job location.
18	Contract Type	contract_type	String	Type of employment contract (e.g., permanent.
19	URL	URL	URL	Web link to the job posting.
20	Job Country	job_country	String	The country where the job is located.
21	Date String	date_str	Date	Date
22	Date	date	Date	The date is in standard format (YYYY-MM-DD)
23	Timestamp	timestamp	Number	Timestamp of job posting.
24	Crawled Timestamp	crawled_timestamp	Number	Timestamp of data extraction.
25	Job Status	is_active	Boolean (yes/no)	Indicates if the job posting is activ