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中国313市574租房数据库 China 574 Apartments for Rent Database in 313 Cities

Name	n3_chennan_CS_zufang_ganji_com
Data	656K (+ 0B)
Tables	4 (+ 0)
Columns	23 (+ 0)
Table Rows	1,774 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

这是一个来自中国313个热门城市提供的574个租房信息数据库。每条租房信息数据中包含有标题、价格、地址、距离和面积。该租房信息数据库中共有4个表。

This apartments for rent database is a comprehensive one offer you the apartments for rent information with 574 records over 313 cities in China. Each record is comprised of title, price, address, distance and area. The whole China apartments for rent API has 4 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/zufang/ (By Table)

Tables + Columns
Media Files
Updates
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Tables & Columns

Tables	Rows	Columns	Non-empty
category_1	313	chengshi_id	100%
category_1	313	chengshi	100%
category_1_x_zufang	574	category_1_id	100%
category_1_x_zufang	574	zufang_id	100%
chengshi	313	title	100%
zufang	574	title	100%
		jiage	100%
		dizhi	100%
		juli	63.07%
		mianji	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)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12 (+ 31 d)	656K (+ 0B)	4 (+ 0)	23 (+ 0)	1,774 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-06-10	656K	4	23	1,774	0B	0

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FAQ

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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.