Step-by-Step Guide to Web Scraping with Python: Requests, BeautifulSoup, and More

A beginner's guide to web scraping with Python, covering Requests, BeautifulSoup, Selenium, and Scrapy for easy data extraction.
Step-by-Step Guide to Web Scraping with Python: Requests, BeautifulSoup, and More
Step-by-Step Guide to Web Scraping Web scraping allows you to collect data from websites. Here’s a beginner-friendly guide to get started with different Python libraries. Step 1: Collecting HTML Content The first step is to gather the HTML content from a webpage using Python's requests library. 1. Install the library (if you haven’t already): pip install requests 2. Fetch the HTML content : import requests url = 'https://example.com' response = requests.get(url) print(response.content) # This displays the raw HTML Step 2: Parsing HTML with BeautifulSoup Once you have the HTML, use BeautifulSoup to extract specific data from it. 1. Install BeautifulSoup : pip install beautifulsoup4 2. Parse the HTML content : from bs4 import BeautifulSoup soup = BeautifulSoup(response.content, 'html.parser') titles = soup.find_all('h2') for title in titles: print(title.text) # Displays the text of all <h2> elements Step 3: When to Use BeautifulSoup BeautifulSoup is ide…