"Web Scraping is a magic tool to instantly gather all the information you need!"
"It requires advanced programming skills!"
"Is it a first process?"
"Web Scraping is a one-time process!"
"Only for Tech-Savvy Professionals, not for me."
Put a full stop in your thoughts running on myths.
Do you want to know the harsh truth of WEB SCRAPING and its use cases? Let's break the confusion pot.
Web Scraping is the process of extracting data from websites. It involves automated software programs, often called web scrapers or bots, that browse through web pages, collect information, and store it for further analysis or use. Typically performed by writing code using programming languages like Python or using specialized scraping tools and libraries.
The scraping process involves sending HTTP requests to the target website, parsing the HTML or XML content, and extracting the desired data based on specific patterns or rules.
It's important to note that when scraping websites, you should respect the website's terms of service, robots.txt file, and any applicable legal regulations.
It is also used in web indexing, web mining, data mining, price comparison, website change detection, research and many more.
If you are a beginner interested in learning about web scraping, here are some steps to get started:
If you want to know more about Python, you can check HERE.
A Python library is like a treasure trove of pre-built tools and functionalities, waiting to supercharge your programming endeavours. It's an exquisite collection of code modules crafted by brilliant minds, designed to simplify your coding journey and empower you to create magic with just a few lines. With a Python library by your side, you can effortlessly tap into its vast array of functions, classes, and utilities, saving you time and effort.
Today, I am going to talk about BeautifulSoup.
A popular Python library that is specifically designed for web scraping purposes. It provides a convenient way to extract data from HTML and XML documents. BeautifulSoup transforms raw HTML/XML into a parse tree, allowing you to navigate, search, and manipulate the document's contents with ease.
You can extract specific elements such as tags, attributes, and text from web pages. It simplifies the process of web scraping by handling the complexities of parsing HTML and XML, so you can focus on retrieving the data you need.
Step:1 Open python.org and install the latest version of Python.
Latest version Download Link - https://www.python.org/downloads/release/python-3114/ (As of June 2023)
Step:2 Open your browser, search Visual Studio Code, and download it.
Step:3 Search BeautifulSoup Pip and click on BeautifulSoup4
Step:4 Open up Command Prompt and Paste this.
Step:5 Now open VS Code and follow this.
The 'request' module in Python refers to the 'requests' library, which is a popular and widely used HTTP library for sending HTTP requests and handling responses in Python. It simplifies the process of interacting with web services and APIs by providing a high-level interface for making HTTP requests. It supports features like authentication, session management, cookies, and handling of various data formats (JSON, XML, etc.).
'bs4' refers to BeautifulSoup4, which is a popular library used for web scraping and parsing HTML or XML documents. The library supports different parsers, such as the built-in html.parser, lxml, and html5lib.
The term "prettify" is commonly associated with BeautifulSoup, a popular Python library for web scraping. BeautifulSoup provides a method called prettify() that takes a parsed HTML or XML document and formats it with proper indentation and line breaks to enhance readability.
In Python, get_text() is a method provided by libraries like Beautiful Soup, which is commonly used for web scraping tasks. When parsing an HTML or XML document using Beautiful Soup, the document's structure is converted into a parse tree. Each element in the parse tree has various methods, and get_text() is one of them. This method is primarily used to extract the human-readable text content within an element and its descendants, excluding any HTML or XML tags.
In a nutshell, get_text allows you to show the content without a tag and prettify allows you to show the content with proper indented tags.
Web scraping has become a potent weapon in the wide digital realm, bridging the information and innovation divide. It's comparable to an explorer exploring the depths of the internet in search of priceless information nuggets that may be used to unlock countless opportunities. Web scraping enables companies and people to paint their success stories using rich, real-time information, much like a painter with a pallet of colours.
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