twitter-past-crawler | accumulate past tweets without the twitter API
kandi X-RAY | twitter-past-crawler Summary
kandi X-RAY | twitter-past-crawler Summary
twitter-past-crawler is a Python library. twitter-past-crawler has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However twitter-past-crawler build file is not available. You can download it from GitHub.
The official twitter API as of now is very limiting in the access it provides to past tweets. This crawler attempts to provide users the ability to collect past tweets beyond those limitations. This is done by emulating the infinite scroll on the search page.
The official twitter API as of now is very limiting in the access it provides to past tweets. This crawler attempts to provide users the ability to collect past tweets beyond those limitations. This is done by emulating the infinite scroll on the search page.
Support
Quality
Security
License
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Support
twitter-past-crawler has a low active ecosystem.
It has 44 star(s) with 24 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 11 open issues and 16 have been closed. On average issues are closed in 55 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of twitter-past-crawler is current.
Quality
twitter-past-crawler has 0 bugs and 0 code smells.
Security
twitter-past-crawler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
twitter-past-crawler code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
twitter-past-crawler 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
twitter-past-crawler releases are not available. You will need to build from source code and install.
twitter-past-crawler has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed twitter-past-crawler and discovered the below as its top functions. This is intended to give you an instant insight into twitter-past-crawler implemented functionality, and help decide if they suit your requirements.
- Crawl crawler
- Get a request from the last position
- Check if the node has finished
- Dump the current progress
- Convert an xml element into a Tweet object
- Clean text
- Returns whether the element has a class attribute
- Cleans the Tweet
- Clean a word
- Crawl the response from twitter
- Restart the crawler
- Count the words in twitter corpus
Get all kandi verified functions for this library.
twitter-past-crawler Key Features
No Key Features are available at this moment for twitter-past-crawler.
twitter-past-crawler Examples and Code Snippets
No Code Snippets are available at this moment for twitter-past-crawler.
Community Discussions
No Community Discussions are available at this moment for twitter-past-crawler.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install twitter-past-crawler
You can download it from GitHub.
You can use twitter-past-crawler 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 twitter-past-crawler 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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