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Job Data

Dictionary

Explore all 60 job dataset fields including column names, data types, descriptions, and fill rates showing data completeness metrics for each field

ColumnTypeDescriptionFill Rate
id
integer
Unique identifier for the job
100.00%
url
str
URL of the job posting
100.00%
job_title
str
Title of the job position
100.00%
date_posted
date
Date when the job was posted
100.00%
company_name
str
Name of the company offering the job
100.00%
description
str
Full description of the job
100.00%
location
str
Location of the job
97.12%
short_location
str
Short version of the job location
97.12%
long_location
str
Long version of the job location
97.12%
state_code
str
State code of the job location
82.60%
latitude
float
Latitude of the job location
95.39%
longitude
float
Longitude of the job location
95.39%
postal_code
str
Postal code of the job location
31.25%
remote
boolean
Whether the job is remote
4.74%
hybrid
boolean
Whether the job is hybrid (partially remote)
5.79%
salary_string
str
Salary information as a string
100.00%
min_annual_salary
float
Minimum annual salary
23.12%
min_annual_salary_usd
float
Minimum annual salary in USD
23.12%
max_annual_salary
float
Maximum annual salary
21.62%
max_annual_salary_usd
float
Maximum annual salary in USD
21.61%
avg_annual_salary_usd
float
Average annual salary in USD
21.40%
salary_currency
str
Currency of the salary
25.20%
country_codes
array
List of country codes where the job is available
99.98%
discovered_at
datetime
Timestamp when the job was discovered
100.00%
source_url
str
URL of the job board where the job was found
100.00%
seniority
str
Seniority level of the job position
100.00%
hiring_team
json
Information about the hiring team
8.34%
company.id
str
Unique identifier for the company
100.00%
company.name
str
Name of the company
100.00%
company.domain
str
Company website domain
71.89%
company.iso2
str
Two-letter country code where the company is based
59.68%
company.industry_id
integer
Industry classification ID
72.24%
company.employee_count
integer
Number of employees at the company
71.47%
company.annual_revenue_usd
float
Annual revenue in USD
21.00%
company.total_funding_usd
float
Total funding raised in USD
3.43%
company.funding_stage
str
Current funding stage (e.g., Series A, Series B)
11.72%
company.last_funding_round_date
date
Date of the most recent funding round
12.84%
company.founded_year
integer
Year the company was founded
26.01%
company.yc_batch
str
Y Combinator batch (if applicable)
0.23%
company.linkedin_id
str
LinkedIn company ID
51.21%
company.linkedin_url
str
LinkedIn company URL
61.36%
company.apollo_id
str
Apollo.io company ID
28.83%
company.is_recruiting_agency
boolean
Whether the company is a recruiting agency
9.07%
company.is_consulting_agency
boolean
Whether the company is a consulting agency
0.00%
company.logo_url
str
URL of the company logo
72.90%
company.annual_revenue_usd_readable
str
Human-readable annual revenue (e.g., "$1.5M")
21.00%
company.last_funding_round_amount_readable
str
Human-readable last funding amount
2.63%
company.long_description
str
Detailed description of the company
99.82%
company.seo_description
str
SEO-optimized company description
63.06%
company.city
str
City where the company is headquartered
57.84%
company.postal_code
str
Postal code of company headquarters
51.91%
company.alexa_ranking
integer
Alexa ranking of the company website
15.80%
company.publicly_traded_symbol
str
Stock ticker symbol (if publicly traded)
7.72%
company.publicly_traded_exchange
str
Stock exchange where the company is listed
7.83%
company.investors
str
List of company investors
100.00%
company.num_jobs
integer
Total number of jobs posted by this company
100.00%
company.num_jobs_last_30_days
integer
Number of jobs posted in the last 30 days
100.00%
keyword_slugs
array
List of keywords related to the job
58.25%

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Data workflow

Learn how we transform raw job postings into high-quality, normalized data through our 5-step workflow covering acquisition, extraction, deduplication, enrichment, and quality assurance

Freshness

Discover how we collect job data with multi-tiered scraping frequencies from 10 minutes to daily.

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