Scweet | unlimited twitter scraper : scrape tweets | Scraper library
kandi X-RAY | Scweet Summary
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...
A simple and unlimited twitter scraper : scape tweets, likes, retweets, following, followers, user info, images...
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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.
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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
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?
git clone method also gives me same error.
!git clone --quiet https://github.com/Altimis/Scweet.git
ANSWER
Answered 2021-Jan-06 at 01:34The exact package name is 'Scweet' with a capital letter:)
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.
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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