Learn AI with Python · Lesson

Web Scraping with BeautifulSoup

Understand how to extract data from websites using Python.

Web Scraping with BeautifulSoup is a free Learn AI with Python lesson on CoddyKit — lesson 5 of 5. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Learn AI with Python learning path, one of 5 lessons in the course, and your progress syncs across the web and the CoddyKit app.

1

Introduction to Web Scraping

Web scraping is the process of extracting data from websites. Python’s BeautifulSoup library makes it simple to parse and navigate HTML or XML documents.

In this lesson, you’ll learn how to use BeautifulSoup for web scraping.

Web Scraping with BeautifulSoup — illustration 1

2 Installing BeautifulSoup

To install BeautifulSoup and the required requests library, use the following commands:

pip install beautifulsoup4
pip install requests

Once installed, you can import them in your Python scripts:

# Importing BeautifulSoup
from bs4 import BeautifulSoup
import requests

print("BeautifulSoup imported successfully")

3 Fetching a Web Page

You can fetch a web page using the requests library:

# Fetching a web page
response = requests.get("https://example.com")
print(response.text)  # Outputs the HTML content

4 Parsing HTML with BeautifulSoup

BeautifulSoup provides methods to parse and navigate HTML documents:

# Parsing HTML
html_content = "<html><body><h1>Hello, World!</h1></body></html>"
soup = BeautifulSoup(html_content, "html.parser")
print(soup.h1.text)  # Outputs: Hello, World!

5 Finding Elements

BeautifulSoup provides methods like find() and find_all() to locate elements:

# Finding elements
soup = BeautifulSoup("<html><body><p class='content'>Hello!</p><p>World!</p></body></html>", "html.parser")
element = soup.find("p", class_="content")
print(element.text)  # Outputs: Hello!

6 Extracting Links

You can extract all links (<a> tags) from a web page:

# Extracting links
html = "<html><body><a href='https://example.com'>Example</a></body></html>"
soup = BeautifulSoup(html, "html.parser")
links = soup.find_all("a")
for link in links:
    print(link['href'])  # Outputs: https://example.com

7 Extracting Tables

BeautifulSoup makes it easy to extract data from HTML tables:

# Extracting table data
html = "<table><tr><td>Row 1</td></tr><tr><td>Row 2</td></tr></table>"
soup = BeautifulSoup(html, "html.parser")
rows = soup.find_all("tr")
for row in rows:
    print(row.text)  # Outputs: Row 1, Row 2

8 Handling Missing Elements

BeautifulSoup provides methods to safely handle missing elements:

# Handling missing elements
soup = BeautifulSoup("<html><body></body></html>", "html.parser")
element = soup.find("p")
print(element)  # Outputs: None

9

10 Common Mistakes with BeautifulSoup

Here are some mistakes to avoid:

Not using a proper HTML parser (e.g., html.parser or lxml).
Fetching content from blocked or protected websites without proper headers.
Scraping too frequently, which might get your IP banned.

11 What Did We Learn?

In this lesson, you learned:

How to install and import BeautifulSoup and requests.
How to fetch, parse, and navigate HTML content.
How to extract specific elements like links and tables.
How to handle missing elements safely.

Great job! Let’s move to the next topic.

Web Scraping with BeautifulSoup — illustration 11

Frequently asked questions

Is the “Web Scraping with BeautifulSoup” lesson free?

Yes — the full text of “Web Scraping with BeautifulSoup” is free to read here on the web, and the Learn AI with Python course includes 5 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Learn AI with Python course, upgrade to CoddyKit PRO.

What will I learn in “Web Scraping with BeautifulSoup”?

Understand how to extract data from websites using Python. You practise Learn AI with Python with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Learn AI with Python?

No prior experience is required. Learn AI with Python on CoddyKit is structured for beginners through advanced learners; this is — lesson 5 of 5, so you can start here or from the beginning and move at your own pace.

How long does the “Web Scraping with BeautifulSoup” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Learn AI with Python lesson?

Yes. Every Learn AI with Python lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

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