- Beautiful Soup Tutorial
- Beautiful Soup - Home
- Beautiful Soup - Overview
- Beautiful Soup - Web Scraping
- Beautiful Soup - Installation
- Beautiful Soup - Souping the Page
- Beautiful Soup - Kinds of objects
- Beautiful Soup - Inspect Data Source
- Beautiful Soup - Scrape HTML Content
- Beautiful Soup - Navigating by Tags
- Beautiful Soup - Find Elements by ID
- Beautiful Soup - Find Elements by Class
- Beautiful Soup - Find Elements by Attribute
- Beautiful Soup - Searching the Tree
- Beautiful Soup - Modifying the Tree
- Beautiful Soup - Parsing a Section of a Document
- Beautiful Soup - Find all Children of an Element
- Beautiful Soup - Find Element using CSS Selectors
- Beautiful Soup - Find all Comments
- Beautiful Soup - Scraping List from HTML
- Beautiful Soup - Scraping Paragraphs from HTML
- BeautifulSoup - Scraping Link from HTML
- Beautiful Soup - Get all HTML Tags
- Beautiful Soup - Get Text Inside Tag
- Beautiful Soup - Find all Headings
- Beautiful Soup - Extract Title Tag
- Beautiful Soup - Extract Email IDs
- Beautiful Soup - Scrape Nested Tags
- Beautiful Soup - Parsing Tables
- Beautiful Soup - Selecting nth Child
- Beautiful Soup - Search by text inside a Tag
- Beautiful Soup - Remove HTML Tags
- Beautiful Soup - Remove all Styles
- Beautiful Soup - Remove all Scripts
- Beautiful Soup - Remove Empty Tags
- Beautiful Soup - Remove Child Elements
- Beautiful Soup - find vs find_all
- Beautiful Soup - Specifying the Parser
- Beautiful Soup - Comparing Objects
- Beautiful Soup - Copying Objects
- Beautiful Soup - Get Tag Position
- Beautiful Soup - Encoding
- Beautiful Soup - Output Formatting
- Beautiful Soup - Pretty Printing
- Beautiful Soup - NavigableString Class
- Beautiful Soup - Convert Object to String
- Beautiful Soup - Convert HTML to Text
- Beautiful Soup - Parsing XML
- Beautiful Soup - Error Handling
- Beautiful Soup - Trouble Shooting
- Beautiful Soup - Porting Old Code
- Beautiful Soup - Functions Reference
- Beautiful Soup - contents Property
- Beautiful Soup - children Property
- Beautiful Soup - string Property
- Beautiful Soup - strings Property
- Beautiful Soup - stripped_strings Property
- Beautiful Soup - descendants Property
- Beautiful Soup - parent Property
- Beautiful Soup - parents Property
- Beautiful Soup - next_sibling Property
- Beautiful Soup - previous_sibling Property
- Beautiful Soup - next_siblings Property
- Beautiful Soup - previous_siblings Property
- Beautiful Soup - next_element Property
- Beautiful Soup - previous_element Property
- Beautiful Soup - next_elements Property
- Beautiful Soup - previous_elements Property
- Beautiful Soup - find Method
- Beautiful Soup - find_all Method
- Beautiful Soup - find_parents Method
- Beautiful Soup - find_parent Method
- Beautiful Soup - find_next_siblings Method
- Beautiful Soup - find_next_sibling Method
- Beautiful Soup - find_previous_siblings Method
- Beautiful Soup - find_previous_sibling Method
- Beautiful Soup - find_all_next Method
- Beautiful Soup - find_next Method
- Beautiful Soup - find_all_previous Method
- Beautiful Soup - find_previous Method
- Beautiful Soup - select Method
- Beautiful Soup - append Method
- Beautiful Soup - extend Method
- Beautiful Soup - NavigableString Method
- Beautiful Soup - new_tag Method
- Beautiful Soup - insert Method
- Beautiful Soup - insert_before Method
- Beautiful Soup - insert_after Method
- Beautiful Soup - clear Method
- Beautiful Soup - extract Method
- Beautiful Soup - decompose Method
- Beautiful Soup - replace_with Method
- Beautiful Soup - wrap Method
- Beautiful Soup - unwrap Method
- Beautiful Soup - smooth Method
- Beautiful Soup - prettify Method
- Beautiful Soup - encode Method
- Beautiful Soup - decode Method
- Beautiful Soup - get_text Method
- Beautiful Soup - diagnose Method
- Beautiful Soup Useful Resources
- Beautiful Soup - Quick Guide
- Beautiful Soup - Useful Resources
- Beautiful Soup - Discussion
Beautiful Soup - web-scraping
Scraping is simply a process of extracting (from various means), copying and screening of data.
When we scrape or extract data or feeds from the web (like from web-pages or websites), it is termed as web-scraping.
So, web scraping (which is also known as web data extraction or web harvesting) is the extraction of data from web. In short, web scraping provides a way to the developers to collect and analyze data from the internet.
Why Web-scraping?
Web-scraping provides one of the great tools to automate most of the things a human does while browsing. Web-scraping is used in an enterprise in a variety of ways −
Data for Research
Smart analyst (like researcher or journalist) uses web scrapper instead of manually collecting and cleaning data from the websites.
Products, prices & popularity comparison
Currently there are couple of services which use web scrappers to collect data from numerous online sites and use it to compare products popularity and prices.
SEO Monitoring
There are numerous SEO tools such as Ahrefs, Seobility, SEMrush, etc., which are used for competitive analysis and for pulling data from your client's websites.
Search engines
There are some big IT companies whose business solely depends on web scraping.
Sales and Marketing
The data gathered through web scraping can be used by marketers to analyze different niches and competitors or by the sales specialist for selling content marketing or social media promotion services.
Why Python for Web Scraping?
Python is one of the most popular languages for web scraping as it can handle most of the web crawling related tasks very easily.
Below are some of the points on why to choose python for web scraping −
Ease of Use
As most of the developers agree that python is very easy to code. We don't have to use any curly braces "{ }" or semi-colons ";" anywhere, which makes it more readable and easy-to-use while developing web scrapers.
Huge Library Support
Python provides huge set of libraries for different requirements, so it is appropriate for web scraping as well as for data visualization, machine learning, etc.
Easily Explicable Syntax
Python is a very readable programming language as python syntax are easy to understand. Python is very expressive and code indentation helps the users to differentiate different blocks or scopes in the code.
Dynamically-typed language
Python is a dynamically-typed language, which means the data assigned to a variable tells, what type of variable it is. It saves lot of time and makes work faster.
Huge Community
Python community is huge which helps you wherever you stuck while writing code.