pyautoscraper 0.0.2

A lightweight python module which automates webscraping and parsing through HTML

pyautoscraper

Author: Jeet Chugh

pyautoscraper is a A lightweight module which automates webscraping and gathering HTML elements within Python 3

Features:

• Find elements by searching for tags, attributes, classes, id's, and more
• Parse through Cloudflare protected sites (NOT CAPTCHA)
• Install easily with pip
• Lightweight, only uses cloudscraper and BS4

Github Link | PyPi Link | Example Code Link

Quick and Easy Installation via PIP: pip install pyautoscraper

Import Statement: from pyautoscraper.scraper import Scraper

Dependencies: bs4, cloudscraper

Code License: MIT

Documentation

Documentation is split into 2 sections. First is the 'Part' Class and second is the 'Query' Function.

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'Scraper' Class:

The 'Scraper' class takes in an input of a URL as a string, and has many methods that return specific chunks of data.

Import:

from pyautoscraper.scraper import Scraper

Instantiation:

webscraper = Scraper('URL') # Takes in url string (with https://)

another_scraper = Scraper('Second URL') # Instantiate multiple Scrapers though variables

'Scraper' Methods:

Scraper will raise a URLerror if the request is unsuccessful. Scraper will return None if no elements are found.

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Scraper('url').find(tag, **attributes) --> Scraper('URL').find('h1', class_='blog-title')

returns a string containing the first HTML element that matches your parameters. To find classes, use the 'class_' keyword argument.

(<h1 class="blog-title>Title</h1>")

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Scraper('url').findAll(tag, **attributes) --> Scraper('URL').findAll('p')

returns a list of strings, containing all the HTML elements that match the parameters.

([<p>first</p>, <p>second</p>, <p>third</p>])

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Scraper('url').findText()

returns a string containing the text content of the HTML, with all tags and attributes stripped.

(h1 text paragraph text span text h5 text im in a div tag)

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Scraper('url').findLinks()

returns a list of all http/https links in a tags within the HTML code of the page.

([https://www.google.com, https://www.github.com])

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Scraper('url').findJS()

returns a list containing strings, which represent the string tags within the HTML code.

Example Dictionary:{'model':'Intel','Core Clock':'3.2Ghz','TDP':'95W','Socket':'LGA1155'}

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Scraper('url').findElementByID(IDname)

returns a string containing the first HTML element that matches your IDname.

(<div id="database_div">content</div>)

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Scraper('url').findElementByClass(className)

returns a string containing the first HTML element that matches your className.

(<div class="database_div">content</div>)

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Scraper('url').findComments()

returns a list of strings, containing all the HTML comments within the code.

(['<!-- a comment -->','<!-- ANOTHER COMMENT -->'])

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Thank you for reading the documentation. If you need an example using all these methods, go to [link]

If you have issues, report them to the github project link.

CHANGELOG:

0.0.1 (10/5/20):

• GitHub Commit
• Published to PyPi

0.0.2 (10/6/20):

• Updated README
• Fixed Bug