Home Data Employment Job Boards

1,279,107 Jobs in 6,928 Cities by 600 Categories Database

There are 1,279,107 records in this jobs database. All these jobs are grouped by 600 categories (such as Work From Home, Entry Level, Night Shift, Entry Level Remote, Online Part Time, Summer, Contract, Weekend, Overnight, Evening, Temporary, Work from Home Commission, Full Time Monday Friday, Entry Level Freelance, Part Time Work From Home, International Online, Long Term Freelance, etc.) and from 6,928 cities of 1,705 states. Each job is comprised of title, job description, company description, address locality, address region, postal code, address country, compensation and employment type.

The whole jobs database has 5 tables.

Samples

Browse (Mobile + Desktop) / JSON / Excel / CSV (Download)

APIs & Access

http://n3.datasn.io/data/api/v1/n3_chennan/job_1/ (By Table)

Data	819.31M (+ 0B)
Tables	5 (+ 0)
Columns	34 (+ 0)
Table Rows	2,987,184 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2018-10-13 00:51:24 (+ 29 d)

Tables + Columns
Media Files
Updates

Tables & Columns

Tables	Rows	Columns	Non-empty
category_1	600	title	100%
city	6,928	title	100%
		state_id	100%
		state	100%
city_x_job	1,698,844	city_id	100%
city_x_job	1,698,844	job_id	100%
job	1,279,107	title	100%
		job_description	7.74%
		company_description	1.89%
		address_locality	8.07%
		address_region	8.08%
		postal_code	5.88%
		address_country	8.04%
		compensation	1.89%
		employment_type	2.35%
state	1,705	title	100%
		category_1_id	100%
		category_1	100%

Notes:

Meta columns id and ts are not shown here, but included in columns total.
Some statistical or memo columns are not shown here, but included in columns total.
Non-empty percentage indicates the percent of values that are non-empty for that particular column.

Media Sets

No media sets.

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2018-10-13 (+ 29 d)	819.31M (+ 0B)	5 (+ 0)	34 (+ 0)	2,987,184 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	819.31M (+ 0B)	5 (+ 0)	34 (+ 0)	2,987,184 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	819.31M (+ 0B)	5 (+ 0)	34 (+ 0)	2,987,184 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12 (+ 31 d)	819.31M (+ 0B)	5 (+ 0)	34 (+ 0)	2,987,184 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-06-10 (+ 31 d)	819.31M (+ 0B)	5 (+ 0)	34 (+ 0)	2,987,184 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-05-10 (+ 28 d)	819.31M (+ 0B)	5 (+ 0)	34 (+ 0)	2,987,184 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-04-11 (+ 38 d)	819.31M (+ 0B)	5 (+ 0)	34 (+ 0)	2,987,184 (+ 118,523)	0B (+ 0B)	0 (+ 0)
2018-03-03 (+ 35 d)	819.31M (+ 586.88M)	5 (+ 0)	34 (+ 0)	2,868,661 (+ 2,025,600)	0B (+ 0B)	0 (+ 0)
2018-01-27	232.44M	5	34	843,061	0B	0

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How to use

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FAQ

How to access the data?

Select a membership plan and sign up. Return to this page, click Online Query to access the API query maker. Make and open an API call to acquire the data.
Why are data size increments not in line with those of number of rows?

The scanning and profiling of data size increments are done separately from those of the number of rows.