Home Data By Language 中文 / Chinese 企业黄页

15类77,415副食品企业数据库:类型,主营,所在地 77,415 Companies of Non-staple Foods Data: Type, Main Product, Location

Name	n3_chennan_CS_huangye_qiye_58food_com
Data	31.69M (+ 0B)
Tables	3 (+ 0)
Columns	22 (+ 0)
Table Rows	162,098 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

该副食品企业名录共有77,415家企业信息，每个信息记录中有类型，主营，所在地，经营模式，公司简述和公司简介。所有这些副食品公司按照产品类型分为15大类别，例如休闲食品，饮料，酒类，乳制品，豆制品等。整个副食品企业数据库共有3个表。

This non-staple foods enterprises database has 77,415 companies records of non-staple foods with type, major business, location, management model, company description and profile in each. All these non-staple food companies are typed into 15 categories, such as snacks, drinks, liquor, dairy, bean products, etc. The whole non-staple foods enterprises data totally has 3 tables.

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/n3_chennan/fushipin_qiye_daquan/ (By Table)

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
qiye	77,415	gongsi_jianjie	0%
		gongsi_jianshu	21.16%
		jingying_moshi	53.51%
		suozaidi	100%
		zhuying	83.28%
		leixing	23.22%
		title	99.97%
category_1	15	title	100%
category_1_x_qiye	84,668	qiye_id	100%
category_1_x_qiye	84,668	category_1_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

No media sets.

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	31.69M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	31.69M (- 1.97M)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	33.66M (+ 0B)	3 (+ 0)	22 (+ 0)	162,098 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13	33.66M	3	22	162,098	0B	0

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.