Name | n3_chennan_CS_huangye_qiye_qincai_net |
---|---|
Data | 2.09M (+ 0B) |
Tables | 3 (+ 0) |
Columns | 38 (+ 0) |
Table Rows | 2,555 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
中国企业黄页信息数据库中包含有1,260多家公司的信息,每家公司信息中有简介,更新时间,法人代表,注册资本,经营模式,员工数量,客户类型,所属行业,行业信息,联系人,网址,邮编,地址,电话,传真等。这些企业按照产品类型被分为35大类别。共有3个表。
This China enterprises data set contains 1,260 records with profile, update time, legal representative, registered capital, management model, employee number, customer type, industry, industry information, contact, website, post code, address, telephone number, fax number, etc. in each. These enterprises are categorized into 35 classifications as product type. The whole China enterprises yellow pages database contains 3 tables in total.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
qiye | 1,260 | zuihou_gengxin |
17.7%
|
liulan_cishu |
17.7%
|
||
lianxiren |
17.7%
|
||
wangzhan |
11.51%
|
||
youbian |
4.21%
|
||
dizhi |
17.7%
|
||
dianhua |
17.7%
|
||
chuanzhen |
3.81%
|
||
title |
100%
|
||
jianjie |
100%
|
||
gengxin_shijian |
100%
|
||
qiye_jianjie |
17.7%
|
||
faren_daibiao |
6.98%
|
||
zhuce_ziben |
6.83%
|
||
jingying_moshi |
5.87%
|
||
yuangong_shuliang |
6.67%
|
||
zhyao_shichang |
6.03%
|
||
kehu_leixing |
5.79%
|
||
suoshu_hangye |
5.87%
|
||
chanpin_xinxi |
6.03%
|
||
hangye_xinxi |
17.7%
|
||
quwei_xinxi |
17.7%
|
||
xiangguan_lianjie |
17.7%
|
||
qiye_biaoqian |
17.7%
|
||
category_1 | 35 | title |
100%
|
category_1_x_qiye | 1,260 | category_1_id |
100%
|
qiye_id |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 2.09M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 2.09M (+ 144K) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 1.95M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 1.95M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 1.95M (+ 0B) | 3 (+ 0) | 38 (+ 0) | 2,555 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 | 1.95M | 3 | 38 | 2,555 | 0B | 0 |
Contact us for pricing to download the latest commit / release of this database.
In the same time, you can also access this data set via API.
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.
The scanning and profiling of data size increments are done separately from those of the number of rows.
Subscribe to be notified of major data releases and updates.
STAY IN THE LOOP.