Learn Web Scraping with Python

Basics of web scraping programming

Basics of web scraping programming

The web scrapping consists of two parts: a web crawler and a web scraper. In simple words, the web crawler is a horse, and the scrapper is the chariot. The crawler leads the scrapper and extracts the requested data. Let's understand about these two components of web scrapping:


The crawler

A web crawler is generally called a "spider." It is an artificial intelligence technology that browses the internet to index and searches for the content by given links. It searches for the relevant information asked by the programmer.


The scrapper

A web scraper is a dedicated tool that is designed to extract the data from several websites quickly and effectively. Web scrappers vary widely in design and complexity, depending on the projects.


How does Web Scrapping work?

These are the following steps to perform web scraping. Let's understand the working of web scraping.


Step -1: Find the URL that you want to scrape

First, you should understand the requirement of data according to your project. A webpage or website contains a large amount of information. That's why scrap only relevant information. In simple words, the developer should be familiar with the data requirement.


Step - 2: Inspecting the Page

The data is extracted in raw HTML format, which must be carefully parsed and reduce the noise from the raw data. In some cases, data can be simple as name and address or as complex as high dimensional weather and stock market data.


Step - 3: Write the code

Write a code to extract the information, provide relevant information, and run the code.


Step - 4: Store the data in the file

Store that information in required csv, xmlJSON file format.