Data Dictionary: Base Jobs API

Overview

Data dictionary for data retrieved using Base Jobs API endpoints.

This data dictionary shows all available data points, explains their values, and provides data samples from the API Base Jobs dataset.

Data points per category

1. Main job posting information

2. Industries

3. Functions

All personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes.

Data point explanations

Main (root) table

Data point	Description	Data type
time_posted	Job ad publish date (as displayed on the professional network)	String
title	Job title	String
description	Job description Note: contains control characters.	String
seniority	Seniority level	String
employment_type	Full-time or part-time work	String
location	Job location	String
url	Job posting URL	String
hash	Job posting URL, processed by the MD5 algorithm	String
company_id	Company identification key, relating directly to the company table	Number (integer)
company_name	Company name	String
company_url	Company profile URL	String
external_url	External URL provided by the company referring to the job posting	String
application_active	One of two values possible: 0 – the last time we scraped the job posting, the job posting was deactivated. 1 – the last time we scraped the job posting, it was still active	Integer
salary	Offered salary	String
applicants_count	Number of applicants	String
professional_network_job_id	Job identifier on the professional network	Number (integer)
country	Job location (country)	String
last_updated_ux	Unix timestamp of the last record update	Number (integer)
redirected_url	URL where we are redirected while trying to access the job posting	String
redirected_url_hash	Redirected URL processed by the MD5 algorithm	String

Refer to the table example from the data:

Main job table

  {
    "id": 6946,
    "created": "2020-08-21 11:16:17",
    "last_updated": "2021-02-24 22:30:06",
    "time_posted": "6 months ago",
    "title": "Energy Procurement Negotiator",
    "description": "Responsibilities will include:   ·        Produce tenders and issue them to suppliers within appropriate deadlines ·        Initiate price and contract term negotiations with suppliers ·        Ensure contract recommendations are accurate and sent out in a timely manner ·        Enter manual and electronic offers accurately, to create like-for-like cost analysis ·        Working closely with other teams and supporting the wider busines with knowledge of energy contracting and pricing ·        Issuing recommendations to clients via e-mail, and following-up via telephone ·        Processing of acceptances ·        Ensuring system details are maintained and updated accurately ·        Develop networks and relationships with energy supplier contacts ·        Ensure tender fees are invoiced upon completion of work ·        Ongoing contract management and resolution of client queries",
    "seniority": "Associate",
    "employment_type": "Full-time",
    "location": "Owlsmoor, England, United Kingdom",
    "url": "https://www.professional-network.com/jobs/view/energy-procurement-negotiator-at-energy-company-2002092926",
    "hash": "e9dccd36998f1c4a341fc1e234f57a2e",
    "company_id": 23087523,
    "company_name": "Energy company",
    "company_url": "https://www.professional-network.com/company/energy-company",
    "external_url": null,
    "deleted": 1,
    "application_active": 0,
    "salary": "£23,000.00 - £28,000.00",
    "applicants_count": "55 applicants",
    "professional-network_job_id": 2002092926,
    "country": "United Kingdom",
    "last_updated_ux": 1614205806,
    "redirected_url": "https://www.professional-network.com/jobs/view/energy-procurement-negotiator-at-energy-company-2002092926",
    "redirected_url_hash": "e9dccd36998f1c4a341fc1e234f57a2e",

Industries

Data point	Description	Data type
job_industries_collection	Consists of record metadata and job_industry_list objects	Array of objects
job_industry_list	Contains record metadata and information on the job industry	Object
industry	Job industry title	String

Refer to the table example from the data:

Job industry collection

"job_industry_collection": [
        {
            "job_industry_list": {
                "industry": "Oil & Energy"
            }
        },
        {
            "job_industry_list": {
                "industry": "Environmental Services"
            }
        },
        {
            "job_industry_list": {
                "industry": "Utilities"
            }
        }
    ]

Functions

Data point	Description	Data type
job_functions_collection	Job functions list	String

See a snippet of the dataset for reference:

New data points

  "job_functions_collection": [
    "Sales",
    "Marketing"
  ]