Scweet | unlimited twitter scraper : scrape tweets | Scraper library

by Altimis Python Version: 1.8 License: MIT

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

kandi X-RAY | Scweet Summary

Scweet is a Python library typically used in Automation, Scraper, Selenium applications. Scweet has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install Scweet' or download it from GitHub, PyPI.

A simple and unlimited twitter scraper : scape tweets, likes, retweets, following, followers, user info, images...

Support

Quality

Security

License

Reuse

Support

Scweet has a low active ecosystem.

It has 760 star(s) with 192 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 74 open issues and 61 have been closed. On average issues are closed in 25 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Scweet is 1.8

Quality

Scweet has 0 bugs and 0 code smells.

Security

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

Scweet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Scweet is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Scweet releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 1219 lines of code, 40 functions and 14 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Get the list of users followers
Get a dict of users followed by a user
Get the username
Return the password
Return the email address
Load an environment variable
Tries to find an element by text
Checks if an element exists in the driver
Logs into twitter
Scrape tweets
Get data from card
Read the last date from a CSV file
Download images from urls
Keep scrolling
Log a search page
Gets information about all users
Return True if the inputString contains numbers
Get a random user page
Get a listing of users followed by their followers

Get all kandi verified functions for this library.

Scweet Key Features

No Key Features are available at this moment for Scweet.

Scweet Examples and Code Snippets

No Code Snippets are available at this moment for Scweet.

Community Discussions

Trending Discussions on Scweet

ModuleNotFoundError in Colab

QUESTION

ModuleNotFoundError in Colab

Asked 2021-Jan-06 at 01:34

Hi I want to install one package called 'scweet' on colab.

I tried this code below but does not work. I really do not know what is the issue. can anyone help me?

Error Message Attached

git clone method also gives me same error.

!git clone --quiet https://github.com/Altimis/Scweet.git

...

ANSWER

Answered 2021-Jan-06 at 01:34

The exact package name is 'Scweet' with a capital letter:)

Source https://stackoverflow.com/questions/65588957

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

Vulnerabilities

No vulnerabilities reported

Install Scweet

You can install using 'pip install Scweet' or download it from GitHub, PyPI.
You can use Scweet 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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