videoSpider | Grab TV series , movies , anime actors | Crawler library
kandi X-RAY | videoSpider Summary
kandi X-RAY | videoSpider Summary
videoSpider is a Python library typically used in Automation, Crawler, Bilibili applications. videoSpider has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Grab TV series, movies, anime actors and other information in Douban, bilibili, etc.
Grab TV series, movies, anime actors and other information in Douban, bilibili, etc.
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Quality
Security
License
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videoSpider has a low active ecosystem.
It has 213 star(s) with 86 fork(s). There are 24 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 1593 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of videoSpider is current.
Quality
videoSpider has 0 bugs and 0 code smells.
Security
videoSpider has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
videoSpider code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
videoSpider 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
videoSpider releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
videoSpider saves you 810 person hours of effort in developing the same functionality from scratch.
It has 1860 lines of code, 86 functions and 56 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed videoSpider and discovered the below as its top functions. This is intended to give you an instant insight into videoSpider implemented functionality, and help decide if they suit your requirements.
- Parse start of photos
- Get movie info
- Returns a dictionary of CelebationInfo from a node
- Extract animation info from node dict
- Create request and save data
- Create a submission
- Generate random string
- Create new sqla process
- Create a new engine
- Create a new sqla engine
- Create a whoosh task group
- Get video ids
- Create a task group by id
- Creates a pool of videos
- Return a list of all videos that match the expression
- Return animation ids
- Tries to upload images
- Upload files from filenames
- Routine to get the up_celebrity_images task
- Return a list of tripleban ids
- Run migrations offline
- Get full data for bilibiliations
- Get the full data for a single video
- Return a dict of the task data
- Downs down video images
- Uploads images
Get all kandi verified functions for this library.
videoSpider Key Features
No Key Features are available at this moment for videoSpider.
videoSpider Examples and Code Snippets
No Code Snippets are available at this moment for videoSpider.
Community Discussions
Trending Discussions on videoSpider
QUESTION
Link Extractor in Scrapy with process_value
Asked 2020-May-25 at 23:38
I am trying to extract the data from myntra.com using scrapy. My code till now -
...ANSWER
Answered 2020-May-25 at 23:38This page uses JavaScript to add item but it doesn't read it from external file but it has all data in tag
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install videoSpider
You can download it from GitHub.
You can use videoSpider 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 videoSpider 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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