Web scraping is a way to extract vast volumes of data from websites that are automated. Sometimes, the information on the web pages is not structured. In that case, Web scraping aids in the collection of unstructured data and its subsequent storage in a structured format. We can do scraping websites in a variety of methods, including using internet services, APIs, or building your programs in this article. We’ll look at how to use Python to implement web scraping.
Why is python used for web scraping?
1) Python includes many libraries, such as Numpy, Matplotlib, Pandas, and others, that provide methods and functions for a variety of uses. As a result, it’s suitable for web crawling and additional data manipulation.
2) Python is an easy language to program in. There are no semi-colons “;” or curly-braces “{}” required anywhere. So it is easier to use and less noisy.
3) Dynamically typed: You don’t have to define data types for variables in Python; you can just use them wherever they’re needed. This saves you time and speeds up your work.
4) Small code, long process: Web scraping is a technique for saving time. But what good is it if you waste more time writing code? You don’t have to, though. We can write small codes in Python to accomplish large tasks. As a result, even while writing the code, you save time.
5) Python syntax is simple to learn because reading Python code is quite understandable compared to reading a statement in English. Python’s indentation helps the user distinguish between distinct scopes/blocks in the code, making it expressive and easy to understand.
Step-by-Step process to Scrape Data From A Website:
Web scraping is gaining data from web pages using HTML parsing. Something data is available in CSV or JSON format from some websites, but this is not always the case, causing the use of web scraping.
When you run the web scraping code, it sends a request to the URL you specified. The server provides the data in response to your request, allowing you to see the HTML or XML page. The code then parses the HTML or XML page, locating and extracting the data.
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