If you frequently visit casino-related websites to find the latest no deposit bonus offers, you’ve probably wished there was a way to get notified automatically when something new is posted. Manually checking these pages can be repetitive — but as developers, we can automate it.
In this guide, we’ll build a Python script that monitors changes on a bonus listing page and alerts you when a new offer appears. For our example, we’ll use https://nodepositbonushungary.com/, a site that regularly publishes no deposit bonuses for Hungarian players.
What We'll Build
This script will:
- Scrape the content of the page
- Extract and store bonus-related data
- Compare it to the previous version
- Notify you if something new appears
It’s a great mini project if you're just starting with Python, scraping, or automation.
Tools and Libraries
You’ll need Python installed, along with the following libraries:
pip install requests beautifulsoup4 schedule
You can also add:
- difflib – to compare text content
- smtplib or python-telegram-bot – for notifications
Step 1: Fetch the Page Content
Use the requests and BeautifulSoup libraries to get and parse the HTML:
import requests
from bs4 import BeautifulSoup
url = 'https://nodepositbonushungary.com/'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
Step 2: Extract Bonus Data
Let’s assume bonus offers are inside h3 tags. We’ll extract them as plain text:
bonuses = soup.find_all('h3')
bonus_list = [b.get_text(strip=True) for b in bonuses]
Step 3: Save Data Locally
We'll store the latest scraped data to a text file for future comparison.
with open('bonuses_latest.txt', 'w', encoding='utf-8') as f:
for bonus in bonus_list:
f.write(bonus + '\n')
Step 4: Compare With Previous Data
Now let's check if the content has changed compared to the last saved version.
def read_previous():
try:
with open('bonuses_old.txt', 'r', encoding='utf-8') as f:
return f.read().splitlines()
except FileNotFoundError:
return []
old_data = read_previous()
new_data = bonus_list
added = set(new_data) - set(old_data)
removed = set(old_data) - set(new_data)
if added:
print("New bonuses found:")
for a in added:
print("-", a)
with open('bonuses_old.txt', 'w', encoding='utf-8') as f:
for bonus in new_data:
f.write(bonus + '\n')
Step 5: Automate It
Let’s schedule this script to run every hour.
import schedule
import time
def job():
print("Checking for bonus updates...")
# Place the scraping and comparison logic here
schedule.every(1).hours.do(job)
while True:
schedule.run_pending()
time.sleep(1)
What’s Next
Here are a few ways to improve the project:
- Parse not just the title but also bonus value, terms, and game titles
- Add Telegram or email alerts when new bonuses are detected
- Support multiple sites or bonus categories
- Store results in a database or publish via a simple API
- Build a Flask web interface to view tracked bonuses
Conclusion
This small project is a great way to combine real-world use cases with your Python skills. You’ll practice:
- Web scraping
- Text processing
- File I/O
- Task automation
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