sina_reptile | 获取新浪微博1000w用户的基本信息和每个爬取用户最近发表的50条微博
kandi X-RAY | sina_reptile Summary
kandi X-RAY | sina_reptile Summary
sina_reptile is a Python library. sina_reptile has no vulnerabilities and it has low support. However sina_reptile has 1 bugs and it build file is not available. You can download it from GitHub.
获取新浪微博1000w用户的基本信息和每个爬取用户最近发表的50条微博,使用python编写,多进程爬取,将数据存储在了mongodb中
获取新浪微博1000w用户的基本信息和每个爬取用户最近发表的50条微博,使用python编写,多进程爬取,将数据存储在了mongodb中
Support
Quality
Security
License
Reuse
Support
sina_reptile has a low active ecosystem.
It has 473 star(s) with 298 fork(s). There are 59 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of sina_reptile is current.
Quality
sina_reptile has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 62 code smells.
Security
sina_reptile has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
sina_reptile code analysis shows 0 unresolved vulnerabilities.
There are 7 security hotspots that need review.
License
sina_reptile 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
sina_reptile releases are not available. You will need to build from source code and install.
sina_reptile has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
sina_reptile saves you 1079 person hours of effort in developing the same functionality from scratch.
It has 2445 lines of code, 253 functions and 13 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed sina_reptile and discovered the below as its top functions. This is intended to give you an instant insight into sina_reptile implemented functionality, and help decide if they suit your requirements.
- Create a new OAuthRequest object from an Authorization header
- Split a HTTP header
- Split a URL string
- Uploads a picture
- Pack an image
- Create an OAuthRequest object from a consumer and token
- Parse the API response from the API
- Create a status object from the API response
- Create a geo object from a JSON object
- Returns an iterator over the items
- Calculate the HMAC signature
- Parse source and target attributes
- Verify a request
- Create a new instance from a dict
- Parse the response from the API
- Update a background image
- Return the Authorization header
- Parse a JSON object into a list
- Parse a JSON object from the API
- Update a profile image
- Signs a request
- Create a Tag from a dictionary
- Parse dictionary of ids
- Parse counts from JSON
- Create a model from a JSON object
- Parse the model from a JSON object
Get all kandi verified functions for this library.
sina_reptile Key Features
No Key Features are available at this moment for sina_reptile.
sina_reptile Examples and Code Snippets
No Code Snippets are available at this moment for sina_reptile.
Community Discussions
No Community Discussions are available at this moment for sina_reptile.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sina_reptile
You can download it from GitHub.
You can use sina_reptile 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.
You can use sina_reptile 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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