search-engine-parser | Lightweight package to query popular search engines | Scraper library
kandi X-RAY | search-engine-parser Summary
kandi X-RAY | search-engine-parser Summary
search-engine-parser is a Python library typically used in Automation, Scraper applications. search-engine-parser has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install search-engine-parser' or download it from GitHub, PyPI.
search-engine-parser is a package that lets you query popular search engines and scrape for result titles, links, descriptions and more. It aims to scrape the widest range of search engines. View all supported engines here.
search-engine-parser is a package that lets you query popular search engines and scrape for result titles, links, descriptions and more. It aims to scrape the widest range of search engines. View all supported engines here.
Support
Quality
Security
License
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Support
search-engine-parser has a low active ecosystem.
It has 256 star(s) with 51 fork(s). There are 8 watchers for this library.
It had no major release in the last 12 months.
There are 14 open issues and 53 have been closed. On average issues are closed in 40 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of search-engine-parser is 0.6.8
Quality
search-engine-parser has 0 bugs and 0 code smells.
Security
search-engine-parser has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
search-engine-parser code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
search-engine-parser does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
search-engine-parser 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, examples and code snippets are available.
search-engine-parser saves you 610 person hours of effort in developing the same functionality from scratch.
It has 1438 lines of code, 96 functions and 27 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of search-engine-parser
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of search-engine-parser
search-engine-parser Key Features
No Key Features are available at this moment for search-engine-parser.
search-engine-parser Examples and Code Snippets
No Code Snippets are available at this moment for search-engine-parser.
Community Discussions
Trending Discussions on search-engine-parser
QUESTION
An unclear requirements.txt error which results in not being able to install
Asked 2021-Jan-17 at 12:41
From today, I started getting error while installing modules from requirements.txt
, I tried to find the error module and remove it but I couldn't find.
ANSWER
Answered 2021-Jan-17 at 12:41Create a list of all the dependencies and run the following code.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install search-engine-parser
You can install using 'pip install search-engine-parser' or download it from GitHub, PyPI.
You can use search-engine-parser 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 search-engine-parser 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
Popular search engines supported include:.
Find more information at:
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