Home Data By Language 中文 / Chinese 招聘就业

中国1,187公司1,649招聘数据库 China 1,649 Jobs Data in 1,187 Companies

Name	n3a2_lagou_com
Data	11.19M (+ 0B)
Tables	16 (+ 0)
Columns	105 (+ 0)
Table Rows	22,271 (+ 0)
Media	180.39M (+ 0B)
Files	1,792 (+ 0)
Last Commit	2023-06-19 19:07:11 (+ 169 d)

该招聘数据库有来自中国282个城市的1,649个招聘信息和53个不同类型的1,187家企业信息。每个招聘信息包含有标题，公司id，工作性质，城市，区域，发布日期，薪资，工作年限，职位优势，文化水平，金融平台，企业名称，公司全称，企业规模，产业范围等相关字段。整个企业招聘数据库共有16个表。

This jobs database lists 1,649 records from 1,187 companies by 53 company types of 282 cities in China. Each job is comprised of title, company id, job nature, city, district, create time, salary, work year, position advantage, education, finance stage, company name, company fullname, company size, industry field, etc. There are 16 tables in this whole China jobs database.

Data Samples

Main List (for Desktop / for Mobile) / JSON / XML / Excel / CSV (Download CSV) / View by Table

Data APIs

http://n3.datasn.io/data/api/v1/n3a2/company_job_in_china_3/ (By Table)

Media Files

company_image ^{Bytes: 117.54M / Files: 740}
company_logo ^{Bytes: 62.86M / Files: 1,052}

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
category	5,508	title	100%
category	5,508	city	100%
city	282	title	100%
city_x_company	1,187	city_id	100%
city_x_company	1,187	company_id	100%
company	1,187	title	100%
		company_short_name	100%
		city	100%
		industry_field	100%
		company_features	99.92%
		finance_stage	100%
		interview_remark_num	100%
		process_rate	100%
		approve	100%
		country_score	100%
		city_score	100%
		process	46.5%
		gong_si_gui_mo	46.5%
		manager_name	12.38%
		manager_title	14.74%
		manager_content	8.59%
		company_content	46.5%
		company_history	12.97%
		address	46%
		latitude	34.2%
		longitude	34.2%
		province	33.61%
		district	34.04%
		category_id	0%
company_image_origin	740	title	100%
company_image_origin	740	company_id	100%
company_product	683	title	63.4%
		company_id	100%
		website	58.42%
		product_profile	31.33%
company_type	53	title	100%
company_x_company_type	846	company_id	100%
company_x_company_type	846	company_type_id	100%
company_x_fu_li	2,264	company_id	100%
company_x_fu_li	2,264	fu_li_id	100%
company_x_job	0	company_id	0%
company_x_job	0	job_id	0%
fu_li	197	title	100%
job	1,649	title	100%
		company_id	100%
		job_nature	100%
		city	100%
		district	100%
		create_time	100%
		salary	100%
		work_year	100%
		education	100%
		position_advantage	100%
		company_label_list	92.72%
		finance_stage	100%
		company_name	100%
		company_fullname	100%
		company_size	100%
		industry_field	100%
		job_advantage	97.7%
		job_description	97.7%
		website	97.7%
job_label	668	title	100%
job_x_job_label	7,007	job_id	100%
job_x_job_label	7,007	job_label_id	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

company_image

Size (Bytes)	Files
117.54M	740

company_logo

Size (Bytes)	Files
62.86M	1,052

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	11.19M (+ 0B)	16 (+ 0)	105 (+ 0)	22,271 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2023-01-01 (+ 95 d)	11.19M (+ 0B)	16 (+ 0)	105 (+ 0)	22,271 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2022-09-27 (+ 271 d)	11.19M (+ 0B)	16 (+ 0)	105 (+ 0)	22,271 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2021-12-30 (+ 115 d)	11.19M (+ 0B)	16 (+ 0)	105 (+ 0)	22,271 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2021-09-05 (+ 150 d)	11.19M (+ 0B)	16 (+ 0)	105 (+ 0)	22,271 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2021-04-08 (+ 68 d)	11.19M (+ 0B)	16 (+ 0)	105 (+ 0)	22,271 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2021-01-29 (+ 120 d)	11.19M (+ 3.16M)	16 (+ 1)	105 (+ 8)	22,271 (+ 5,508)	180.39M (+ 0B)	1,792 (+ 0)
2020-10-01 (+ 38 d)	8.03M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2020-08-23 (+ 141 d)	8.03M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2020-04-04 (+ 196 d)	8.03M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2019-09-21 (+ 197 d)	8.03M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2019-03-07 (+ 43 d)	8.03M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2019-01-23 (+ 44 d)	8.03M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2018-12-09 (+ 29 d)	8.03M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2018-11-09 (+ 27 d)	8.03M (+ 80K)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2018-10-13 (+ 29 d)	7.95M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2018-09-13 (+ 34 d)	7.95M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2018-08-09 (+ 27 d)	7.95M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2018-07-12 (+ 31 d)	7.95M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2018-06-10 (+ 31 d)	7.95M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2018-05-10 (+ 28 d)	7.95M (+ 0B)	15 (+ 0)	97 (+ 0)	16,763 (+ 0)	180.39M (+ 0B)	1,792 (+ 0)
2018-04-11 (+ 38 d)	7.95M (+ 4.14M)	15 (+ 0)	97 (+ 3)	16,763 (+ 8,322)	180.39M (+ 180.39M)	1,792 (+ 1,792)
2018-03-03 (+ 35 d)	3.81M (- 18.48M)	15 (+ 1)	94 (+ 4)	8,441 (- 44,099)	0B (- 1.74G)	0 (- 10,553)
2018-01-27	22.30M	14	90	52,540	1.74G	10,553

Download Latest Commit

In the same time, you can also access this data set via API.

Access Now!

How to use

View the page for data details.
Sign up for an account and log in.
Open Online Query to build API addresses / calls.
Open the API address / call to access the data.

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. Create 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.