How web scraping with python is simple | OnlineITGuru
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Web scraping with python is a Simple Software trick, for getting Data, from the website. With this trick, you can change Unstructured Data on web element, into a Structured Data.

Best Web scraping Services can get Data, from many unstructured Formats, like HTML, social media websites, pdf, and local listings, and some other portals, and blogs.

               Know more about Web scraping by Python Online Training

1. How web scraping with python is simple?

Python is the best programming language and has the best ecosystem that supports web scraping. Libraries and tools of Python help web scraping. Errors are fixed quicker with Python.

How web scrapping with python is simple | OnlineITGuru

2.Tools used for Python web scraping:

a)Urllib:

It is a python package, that used for initiating URLs. Urllib combines many modules, for operating with URLs like Urlib suggestions, for reading URLs, mostly the HTTP, urllib. error sample makes the exception classes that raised by urlib.parse, urlib.request.

It defines the standard and secure Interface for breaking uniform resource locator, strings and components and urllib.robotparser offers a single class.

b)Selenium:

It is an open-source automation tool, offers a simple API for scripting functional or acceptance tests, by selenium web driver. It is basically a set of software tools, for every approach to support the test automation.

c)Scrapy:

It is an open-source and communicative framework, for getting data, what a user needs from websites. That scripted in python language, it is the fast level web crawling and scraping framework for python, which is used for a wide range of cases, from data monitoring, mining, and automated testing.

Basically, it was an app framework for writing web spiders, that crawl websites URLs, and pages, that extract data from them. Spiders are the classes that a user makes and it uses the spiders to scrape data from a website.

3.Python Requests:

It is the Non-GMO HTTP library, for python, It accepts the user for sending Http/1.1  requests, and there is no requirement of manually added queries of your URLs. We have many numbers of supported browser style SSL verification, content decoding.

a)Mechanical Soup:

It is a library for automating communication with the website, it auto stores and sends cookies, that redirect and follow links and they submit forms. It also offers a similar API, that designed on python giant’s suggestions and beautiful soup.

b) LXML:

It is a python tool for c libraries libxml2 and libxslt. It was identified as one of the main feature and easy to implement libraries, for making XML and HTML to work in Python Language.

LXML is a Genuine case that combines the speed and XML feature of all these libraries with the small nativity of python API and it is compatible but superior for all well-known element tree_API.

c)Beautiful Soup:

It is also a python library for pulling the data out from an HTML and XML file. Soup mainly concentrates on some projects like web scraping. It offers easy methods and idioms for searching and modifying a parse tree. It converts incoming files for Unicode and outgoing files to UT-8.

Using Beautiful Soup with python

from urllib.request import urlopen

from bs4 import BeautifulSoup

html = urlopen("https://www.onlineitguru.com/")

res = BeautifulSoup(html.read(),"html5lib");

print(res.title)

Handling HTTP Exceptions

from urllib.request import urlopen

from urllib.error import HTTPError

from bs4 import BeautifulSoup

try:

html = urlopen("https://www.onlineitguru.com/")

except HTTPError as e:

print(e)

else:

res = BeautifulSoup(html.read(),"html5lib")

print(res.title)

Handling URL Exceptions

from urllib.request import urlopen

from urllib.error import HTTPError

from urllib.error import URLError

from bs4 import BeautifulSoup

try:

html = urlopen("www.onlineitguru.com/")

except HTTPError as e:

print(e)

except URLError:

print("Server down or incorrect domain")

else:

res = BeautifulSoup(html.read(),"html5lib")

print(res.titles)

Using a simple if statement like this:

from urllib.request import urlopen

from urllib.error import HTTPError

from urllib.error import URLError

from bs4 import BeautifulSoup

try:

html = urlopen("https://www.onlineitguru.com/")

except HTTPError as e:

print(e)

except URLError:

print("Server down or incorrect domain")

else:

res = BeautifulSoup(html.read(),"html5lib")

if res.title is None:

print("Tag not found")

else:

print(res.title)

Scrape HTML Tags using Class Attribute

from urllib.request import urlopen

from urllib.error import HTTPError

from urllib.error import URLError

from bs4 import BeautifulSoup

try:

html = urlopen("https://www.onlineitguru.com/")

except HTTP Error as e:

print(e)

except URL Error:

print("Server down or incorrect domain")

else:

res = BeautifulSoup(html.read(),"html5lib")

tags = res.findAll("h2", {"class": "widget-title"})

for tag in tags:

print(tag.getText())

These are the best-known facts about web scrapping with python, in upcoming blogs, we will update more Data on this topic.

 
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