looter | Web-Scraping for Humans | Scraper library

by alphardex Python Version: 2.21 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | looter Summary

looter is a Python library typically used in Automation, Scraper, Selenium applications. looter has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However looter has 2 bugs. You can install using 'pip install looter' or download it from GitHub, PyPI.

A super-lightweight web-scraping tool.

Support

Quality

Security

License

Reuse

Support

looter has a low active ecosystem.

It has 138 star(s) with 22 fork(s). There are 8 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 5 have been closed. On average issues are closed in 0 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of looter is 2.21

Quality

looter has 2 bugs (0 blocker, 0 critical, 0 major, 2 minor) and 11 code smells.

Security

looter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

looter code analysis shows 0 unresolved vulnerabilities.

There are 4 security hotspots that need review.

License

looter 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

looter 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.

looter saves you 340 person hours of effort in developing the same functionality from scratch.

It has 814 lines of code, 33 functions and 28 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed looter and discovered the below as its top functions. This is intended to give you an instant insight into looter implemented functionality, and help decide if they suit your requirements.

Crawl Search API
Decrypt data with key
Takes a list of categories and returns a list of dicts
Get timestamps
Get the list of categories

Get all kandi verified functions for this library.

looter Key Features

No Key Features are available at this moment for looter.

looter Examples and Code Snippets

No Code Snippets are available at this moment for looter.

Community Discussions

Trending Discussions on looter

Removing a tweet/row if it contains any non-english word

Is it possible to store class data into an array in Python, then randomly pick a class from the array?

QUESTION

Removing a tweet/row if it contains any non-english word

Asked 2018-Jun-11 at 19:12

I want to remove the whole tweet or a row from a data-frame if it contains any non-english word. My data-frame looks like

...

ANSWER

Answered 2018-Jun-11 at 19:12

You want to preserve the alpha-numeric characters along with some of punctuation's like @, ! etc.
If your column contains mainly of , then this should do:

For data frame df with text column, using grep:

Source https://stackoverflow.com/questions/50787649

QUESTION

Is it possible to store class data into an array in Python, then randomly pick a class from the array?

Asked 2017-Jun-13 at 21:31

enemyArray = [Ork, Goblin]

class Ork:

    name = "Mountain Dweller"`
    health = 10
    armor = 1
    damage = 5


class Goblin:

    name = "Looter"
    health = 5
    armor = 0
    damage = 5

...

ANSWER

Answered 2017-Jun-13 at 21:31

Sure, make sure you declare the classes first:

Source https://stackoverflow.com/questions/44531851

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install looter

You can install using 'pip install looter' or download it from GitHub, PyPI.
You can use looter 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.