scrapy-djangoitem | Scrapy extension to write scraped items using Django models
kandi X-RAY | scrapy-djangoitem Summary
kandi X-RAY | scrapy-djangoitem Summary
scrapy-djangoitem is a Python library. scrapy-djangoitem 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 scrapy-djangoitem' or download it from GitHub, PyPI.
Scrapy extension to write scraped items using Django models
Scrapy extension to write scraped items using Django models
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Quality
Security
License
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Support
scrapy-djangoitem has a low active ecosystem.
It has 491 star(s) with 86 fork(s). There are 33 watchers for this library.
It had no major release in the last 12 months.
There are 10 open issues and 4 have been closed. On average issues are closed in 17 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of scrapy-djangoitem is 1.1.1
Quality
scrapy-djangoitem has 0 bugs and 0 code smells.
Security
scrapy-djangoitem has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
scrapy-djangoitem code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
scrapy-djangoitem is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
scrapy-djangoitem releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
scrapy-djangoitem saves you 66 person hours of effort in developing the same functionality from scratch.
It has 171 lines of code, 16 functions and 6 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed scrapy-djangoitem and discovered the below as its top functions. This is intended to give you an instant insight into scrapy-djangoitem implemented functionality, and help decide if they suit your requirements.
- Returns a dictionary of validation errors .
- Create a new model instance .
- Return a django instance .
- Initialize the instance .
- Save the model .
- Return True if validation is valid .
Get all kandi verified functions for this library.
scrapy-djangoitem Key Features
No Key Features are available at this moment for scrapy-djangoitem.
scrapy-djangoitem Examples and Code Snippets
No Code Snippets are available at this moment for scrapy-djangoitem.
Community Discussions
Trending Discussions on scrapy-djangoitem
QUESTION
How to fix locking failed in pipenv?
Asked 2020-Sep-30 at 15:45
I'm using pipenv
inside a docker container. I tried installing a package and found that the installation succeeds (gets added to the Pipfile), but the locking keeps failing. Everything was fine until yesterday. Here's the error:
ANSWER
Answered 2020-Sep-29 at 18:55Try to remove Pipefile.lock
before installing a package
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install scrapy-djangoitem
You can install using 'pip install scrapy-djangoitem' or download it from GitHub, PyPI.
You can use scrapy-djangoitem 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 scrapy-djangoitem 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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