2.3 – Data Dictionnary

Our data extraction methodology ensures a robust collection of structured information for over
100+ data points unified into one.

This gathered dataset encompasses vital details across multiple job categories, locations, and
essential job specifics. It empowers users to gain insights into employment trends, salary ranges, job
types, and other crucial facets of available job postings.

We tailor job datasets from 50+ job boards globally.

The following example illustrates a job posting from Indeed for a Filling Operator position at
“American Regent, Inc.” in the “Pharmaceutical and biotechnology” industry, based in New York,
NY. It includes details such as salary, job type, benefits, company information, and other relevant
job-specific attributes collected from Indeed job postings

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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., Filling Operator III).
4	Job Title	title	String	The job title or position.
5	Job ID	job-id	String	A unique identifier is assigned to each job posting.
6	Company Name	company	String	The name of the company offering the job.
7	Company Logo URL	company-logo	URL	URL of the company’s logo.
8	Company Rating	company rating	Number	The rating of the company.
9	Company Review Count	companyReviewCount	Number	The count of reviews for the company.
10	Company Overview Link	companyOverviewLink	URL	Link to the company’s overview.
11	Industry	industry	String	The industry in which the company operates.
12	Salary Text	salary-txt	String	Salary information provided in text format (e.g., “$. an hour”).
13	Salary Currency	salary-currency	String	The currency used for salary figures.
14	Salary Maximum	salary-max	Number	The maximum salary offered for the job.
15	Salary Minimum	salary-min	Number	The minimum salary offered for the job.
16	Salary Frequency	salary-frequency	String	Frequency of salary payment (e.g., hourly).
17	Location	location	String	The specific job location (city, state).
18	Job URL	job-URL	URL	Web link to the job posting.
19	Post Date	post-date	Date	The date when the job was posted.
20	Post Date Timestamp	post-date-ts	Number (timestamp)	Timestamp of the job posting.
21	Job Types	job-types	String	Type of employment (e.g., Full-time).
22	Benefits	benefits	String	Benefits offered for the job.
23	Schedules	schedules	String	Job schedule details.
24	Source	source	String	Source of the job data (e.g., Indeed).
25	Crawled Date	crawled-date	Date	Date when the job data was extracted.
26	Crawled Timestamp	crawled-ts	Number (timestamp)	Timestamp of data extraction.
27	Job Status	active	String	Indicates if the job posting is active.
28	Expiry Date	expiry-at	Date	Date of job expiry.
29	Post Graduate	post_graduate	String	Indicates if the job requires a post-graduate degree.
30	EIN	ein	String	Employer Identification Number.