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
Top comments (1)
That’s a smart and practical automation project—scraping no deposit bonus offers saves a lot of time if you're tracking frequent updates. Using Python with libraries like BeautifulSoup and Schedule makes it easy to build something lightweight yet effective. When dealing with casino platforms, some users rely on tools like rt138, which functions as an alternative official login link. It's especially helpful when the main domain is down or regionally restricted, ensuring continuous access.
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