Practice Challenge: Scrape a Website with BeautifulSoup & Store Data in SQLite
Level: Real-World Project
Build Real Python Skills by Combining Web Scraping and Databases 🚀
One of the most powerful uses of Python is pulling data from the web and storing it locally for analysis, search, or even powering your own apps.
That’s why these daily practice projects are so valuable — each one adds a new tool to your problem-solving toolkit.
Today, you’ll build a small but super practical program that scrapes data from a website using BeautifulSoup and saves it into an SQLite database.
This is exactly how countless internal tools and dashboards start: a script that gathers data and keeps it organized in a database you can query anytime.
Project Task
Your challenge is to write a Python program that:
✅ Fetches data from the website
— a site made specifically for practicing web scraping.
✅ Extracts each book’s title and price from the main page.
✅ Saves this data into a local SQLite database file called books.db, inside a table named books with columns title and price.
✅ Prints out the data it found so you can see it before it goes into the database.
By doing this, you’ll practice:
Sending HTTP requests and downloading HTML with
requests,Parsing and extracting specific data using
BeautifulSoup,Working with SQLite to create tables and insert records,
And tying all these skills together into a practical end-to-end script.
Expected Output
When you run your program, it might print:
And after running, you’ll have a books.db SQLite file in your folder that contains all the book data. Here is how the database table looks like after the scraping has finished:
💡 Hint
Not sure how to start? Click the Show Hint button.
It will show you how to use requests.get() to fetch the HTML, how to select elements with BeautifulSoup, and how to create and insert records into an SQLite table.
📚 It also includes a quick reminder to use executemany() to insert multiple records efficiently.
𝌣 Solution
🔒 This solution is available to paid subscribers only.
✅ Shows a full working script that ties together scraping, printing, and database inserts.
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