WebSearcher | Tools for conducting and parsing web search | REST library
kandi X-RAY | WebSearcher Summary
kandi X-RAY | WebSearcher Summary
WebSearcher is a Python library typically used in Web Services, REST, Nodejs applications. WebSearcher has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install WebSearcher' or download it from GitHub, PyPI.
Tools for conducting and parsing web search
Tools for conducting and parsing web search
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Quality
Security
License
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Support
WebSearcher has a low active ecosystem.
It has 19 star(s) with 9 fork(s). There are 12 watchers for this library.
There were 4 major release(s) in the last 6 months.
There are 1 open issues and 4 have been closed. On average issues are closed in 71 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of WebSearcher is 0.4.0
Quality
WebSearcher has no bugs reported.
Security
WebSearcher has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
WebSearcher is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
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WebSearcher 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.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed WebSearcher and discovered the below as its top functions. This is intended to give you an instant insight into WebSearcher implemented functionality, and help decide if they suit your requirements.
- Download location data from the latest location
- Retrieve the latest url for a given url
- Get all urls from the soup
- Write lines to a csv file
- Scrape results
- Start a new SSH session
- Write iterable
- Parse the Knowledge panel
- Parse alink element
- Parse the general questions
- Perform a search
- Parse local results
- Parse results
- Parse image files
- Create SSH tunnels
- Return a list of ShoppingAds
- Perform a search query
- Parse spolarly articles
- Parse video elements
- Parse a legacy AD tag
- Returns a list of all other news items
- Parse the top image
- Save the response to a directory
- Parse twitter cards
- Save parsed results
- Return a list of footer components
- Parse knowledge rhs section
Get all kandi verified functions for this library.
WebSearcher Key Features
No Key Features are available at this moment for WebSearcher.
WebSearcher Examples and Code Snippets
No Code Snippets are available at this moment for WebSearcher.
Community Discussions
Trending Discussions on WebSearcher
QUESTION
Method has too many Body parameters
Asked 2018-Dec-15 at 19:03
I have the following requestMethod in a RestController class and it´s working fine:
...ANSWER
Answered 2018-Dec-15 at 19:03The annotation @CookieValue is not supported when using Spring Cloud OpenFeign. As a result, Feign sees your @RequestBody and @CookieValue parameters as the request entities, and since you only have one request entity, Feign throws the exception you are seeing.
There is currently no support for Cookies in Feign.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install WebSearcher
You can install using 'pip install WebSearcher' or download it from GitHub, PyPI.
You can use WebSearcher 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 WebSearcher 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
Happy to have help! If you see a component that we aren't covering yet, please add it using the process below. If you have other improvements, feel free to add them any way you can. Coming next: - Functions for using multiprocessing to parse SERPs.
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