new_house | 爬取贝壳找房，链家的房源信息，便于广大未买房子的朋友们尽快成为房奴！！！Crawl | Crawler library

by tree-branch Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | new_house Summary

new_house is a Python library typically used in Automation, Crawler applications. new_house has no bugs, it has no vulnerabilities and it has low support. However new_house build file is not available. You can download it from GitHub.

爬取贝壳找房、链家(、安居客、58同城未更新，用的人少的话就不更新了)的房源信息，便于广大未买房子的朋友们尽快成为房奴！！！Crawl the house informations of lianjia.com (anjvke.com, 58.com, ganji.com after the update), convenient for the majority of friends who did not buy the house as soon as to become the mortgage slave!!!.

Support

Quality

Security

License

Reuse

Support

new_house has a low active ecosystem.

It has 18 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

new_house has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of new_house is current.

Quality

new_house has no bugs reported.

Security

new_house has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

new_house does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

new_house releases are not available. You will need to build from source code and install.

new_house has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed new_house and discovered the below as its top functions. This is intended to give you an instant insight into new_house implemented functionality, and help decide if they suit your requirements.

Get report data
Returns a pandas dataframe label
Read the LNCL data from a table
Returns the label for a table
Read data from mysql
Read the table names from MySQL
Returns a list of the names of the lnc
Read data from a table
Return a list of table names
Get html
Delete old data
Delete a mysql database
Delete the project
Save lianjia data
Save to mysql
A helper method to save a house
Parse the data
Save data
Parses the website and saves it
Validate data

Get all kandi verified functions for this library.

new_house Key Features

No Key Features are available at this moment for new_house.

new_house Examples and Code Snippets

No Code Snippets are available at this moment for new_house.

Community Discussions

Trending Discussions on new_house

Testing POST request with Echo (expected vs actual output)

QUESTION

Testing POST request with Echo (expected vs actual output)

Asked 2019-Mar-31 at 01:37

I'm kinda new in Go, so, sorry if this is a silly question.

I have been recently trying some API with Echo. I'm trying to test a route(POST) handler of Go echo that gets a json and puts it in an array. Bellow is the code for the handler main.go and for the test test_main.go

main.go

...

ANSWER

Answered 2018-Nov-06 at 04:36

You are calling json.Marshal on the []Houses, which marshals it to a JSON string, then you are calling echo.Context.JSON with the JSON string, which internally calls json.Marshal. Double marshalling causes the escaping. See example. (error checking omitted for brevity)

https://play.golang.org/p/nYvHS4huy0M

Source https://stackoverflow.com/questions/53163520

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install new_house

You can download it from GitHub.
You can use new_house like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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