Home Data By Language 中文 / Chinese 汽车及配件

中国380,772二手车数据库: 描述,价格,联系人,配置,图片 China 380,772 Used Cars Data: Desc, Price, Contact, Configuration Info, Image

Name	n3_chennan_CS_used_car_xa_58_com
Data	1.74G (+ 0B)
Tables	7 (+ 0)
Columns	29 (+ 0)
Table Rows	7,742,502 (+ 0)
Media	605.78M (+ 0B)
Files	30,000 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

该二手车信息数据库中共有380,772辆二手车信息记录，每辆车中有车辆描述，价格，联系人和看车地址。除此之外，数据中还有3个表中的内容与二手车密切相关，分别是包含有1,562个记录的基本信息表, 7 个记录的配置信息表和1,808,193张图片的二手车图片表，且这些图片存储在34.87G的文件包中。整个中国二手车信息数据库共有7个表。

This is a second-hand cars database having 380,772 used cars with car description, price, contact and car address in each. There are 1,562 records of basic information and 7 configuration information records of these used cars. It also comes with 1,808,193 images of these cars in the 34.87G media set. The whole Chinese used cars data set has 7 tables in total.

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/used_car_for_sale_in_chian_4/ (By Table)

Media Files

ershouche_image ^{Bytes: 605.78M / Files: 30,000}

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
ershouche_x_jibenxinxi	3,405,922	jibenxinxi_id	100%
ershouche_x_jibenxinxi	3,405,922	ershouche_id	100%
ershouche_x_peizhixinxi	2,146,046	ershouche_id	100%
ershouche_x_peizhixinxi	2,146,046	peizhixinxi_id	100%
ershouche	380,772	kanchedizhi	67.69%
		lianxiren	80.51%
		price	80.51%
		cheliangmiaoshu	80.5%
		title	100%
image	1,808,193	ershouche_id	100%
jibenxinxi	1,562	key	100%
jibenxinxi	1,562	value	100%
peizhixinxi	7	key	100%
peizhixinxi	7	value	0%

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

ershouche_image

Size (Bytes)	Files
605.78M	30,000

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	1.74G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (+ 0B)	30,000 (+ 0)
2023-01-01 (+ 95 d)	1.74G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (+ 0B)	30,000 (+ 0)
2022-09-27 (+ 271 d)	1.74G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (+ 0B)	30,000 (+ 0)
2021-12-30 (+ 115 d)	1.74G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (+ 0B)	30,000 (+ 0)
2021-09-05 (+ 150 d)	1.74G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (+ 0B)	30,000 (+ 0)
2021-04-08 (+ 68 d)	1.74G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (+ 0B)	30,000 (+ 0)
2021-01-29 (+ 120 d)	1.74G (- 37.95M)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (+ 0B)	30,000 (+ 0)
2020-10-01 (+ 38 d)	1.78G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (+ 0B)	30,000 (+ 0)
2020-08-23 (+ 141 d)	1.78G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (+ 0B)	30,000 (+ 0)
2020-04-04 (+ 196 d)	1.78G (- 1.22G)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (+ 0B)	30,000 (+ 0)
2019-09-21 (+ 197 d)	3G (+ 1.23G)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	605.78M (- 34.28G)	30,000 (- 1,759,008)
2019-03-07 (+ 43 d)	1.77G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	34.87G (+ 0B)	1,789,008 (+ 0)
2019-01-23 (+ 44 d)	1.77G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	34.87G (+ 9.32G)	1,789,008 (+ 484,629)
2018-12-09 (+ 29 d)	1.77G (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,502 (+ 0)	25.55G (+ 23.22G)	1,304,379 (+ 1,185,911)
2018-11-09 (+ 27 d)	1.77G (+ 1.60G)	7 (+ 0)	29 (+ 0)	7,742,502 (- 14)	2.33G (+ 2.33G)	118,468 (+ 118,468)
2018-10-13 (+ 29 d)	173.27M (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,516 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	173.27M (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,516 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	173.27M (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,516 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12 (+ 31 d)	173.27M (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,516 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-06-10 (+ 31 d)	173.27M (+ 0B)	7 (+ 0)	29 (+ 0)	7,742,516 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-05-10	173.27M	7	29	7,742,516	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.