Discover what’s next: 5 days left to save up to $200 on your TechCrunch Disrupt 2026 ticket

Introduction

In today's fast-paced tech world, staying ahead means knowing how to leverage tools that help you track important events, manage tickets, and optimize your learning experience. In this tutorial, we'll walk you through how to create a simple event tracking system using Python and basic web scraping techniques. This tutorial will teach you how to:

• Set up a Python environment
• Scrape event information from a website
• Store event data in a simple database
• Track event deadlines and discounts

By the end of this tutorial, you'll have a working prototype that could help you track TechCrunch Disrupt 2026 or any other event you're interested in!

Prerequisites

Before we begin, you'll need to have the following installed on your computer:

1. Python 3.6 or higher - We'll use Python for our web scraping and data management tasks
2. pip - Python's package installer, which comes with Python
3. Basic understanding of Python syntax - Don't worry, we'll explain everything as we go

Step-by-step Instructions

1. Install Required Python Packages

First, we need to install the packages that will help us scrape websites and work with data. Open your terminal or command prompt and run:

pip install requests beautifulsoup4 sqlite3

Why? These packages are essential for our project. requests helps us download web pages, beautifulsoup4 helps us parse HTML content, and sqlite3 gives us a simple database to store our event information.

2. Create Your Python Script

Create a new file called event_tracker.py and open it in your favorite text editor. This is where we'll write all our code.

3. Import Required Libraries

At the top of your event_tracker.py file, add the following code:

import requests
from bs4 import BeautifulSoup
import sqlite3
import time

Why? These imports give us access to the tools we need: making web requests, parsing HTML, managing a database, and adding delays between requests.

4. Set Up the Database

Next, we'll create a simple database to store our event information:

def setup_database():
    conn = sqlite3.connect('events.db')
    c = conn.cursor()
    c.execute('''
        CREATE TABLE IF NOT EXISTS events (
            id INTEGER PRIMARY KEY,
            name TEXT NOT NULL,
            date TEXT,
            location TEXT,
            discount TEXT,
            deadline TEXT
        )
    ''')
    conn.commit()
    conn.close()

Why? A database is a great way to store structured information. We're creating a table called 'events' with columns for event name, date, location, discount information, and deadline.

5. Create a Function to Scrape Event Data

Now we'll write a function that simulates scraping event data (since we don't have access to the actual TechCrunch website). In a real scenario, you'd replace this with actual scraping logic:

def get_event_data():
    # Simulating scraped data for TechCrunch Disrupt 2026
    event_data = {
        'name': 'TechCrunch Disrupt 2026',
        'date': 'October 13-15, 2026',
        'location': 'Moscone West, San Francisco',
        'discount': 'Up to $200 off',
        'deadline': 'September 25, 2026 at 11:59 p.m. PT'
    }
    return event_data

Why? This function represents what you'd do in real life when scraping data from a website. In reality, you'd use the requests and BeautifulSoup libraries to extract actual information from the website.

6. Save Event Data to Database

Now we'll create a function to save our event data into the database:

def save_event_data(event_data):
    conn = sqlite3.connect('events.db')
    c = conn.cursor()
    c.execute('''
        INSERT OR REPLACE INTO events (id, name, date, location, discount, deadline)
        VALUES (1, ?, ?, ?, ?, ?)
    ''', (event_data['name'], event_data['date'], event_data['location'], event_data['discount'], event_data['deadline']))
    conn.commit()
    conn.close()

Why? This function takes the event data we scraped and stores it in our database. The INSERT OR REPLACE statement means that if an event with ID 1 already exists, it will be updated rather than creating a duplicate.

7. Display Event Information

Let's create a function to display the event information:

def display_event_info():
    conn = sqlite3.connect('events.db')
    c = conn.cursor()
    c.execute('SELECT * FROM events WHERE id=1')
    event = c.fetchone()
    conn.close()
    
    if event:
        print(f'Event: {event[1]}')
        print(f'Date: {event[2]}')
        print(f'Location: {event[3]}')
        print(f'Discount: {event[4]}')
        print(f'Deadline: {event[5]}')
    else:
        print('No event information found.')

Why? This function retrieves our event data from the database and displays it in a user-friendly format.

8. Create the Main Program Flow

Now we'll put everything together in our main program:

def main():
    setup_database()
    event_data = get_event_data()
    save_event_data(event_data)
    print('Event tracking system initialized!')
    print('\nCurrent Event Information:')
    display_event_info()

if __name__ == '__main__':
    main()

Why? This is the main function that orchestrates our entire program. It sets up the database, gets event data, saves it, and then displays it.

9. Run Your Program

Save your event_tracker.py file and run it from the terminal:

python event_tracker.py

You should see output like:

Event tracking system initialized!

Current Event Information:
Event: TechCrunch Disrupt 2026
Date: October 13-15, 2026
Location: Moscone West, San Francisco
Discount: Up to $200 off
Deadline: September 25, 2026 at 11:59 p.m. PT

Why? This shows that your event tracking system is working correctly. You've successfully created a system that can store and display event information.

10. Extend Your System (Optional)

Once you've mastered the basics, you can extend your system to:

• Track multiple events
• Automatically check for updates
• Send email notifications when deadlines approach
• Export data to CSV or Excel files

Why? These extensions will make your system more powerful and useful for tracking many events over time.

Summary

In this tutorial, you've learned how to build a simple event tracking system using Python. You've:

1. Set up the required Python packages
2. Created a database to store event information
3. Simulated web scraping to get event data
4. Stored and retrieved event information from a database
5. Displayed event information in a readable format

This system can be easily adapted to track any event, whether it's TechCrunch Disrupt 2026 or any other conference or meetup. The foundation you've built here can be expanded with more advanced features like automatic updates, email alerts, and more complex data management.

Remember, this is a simplified example. Real-world web scraping requires more careful handling of website terms of service, rate limiting, and error handling. But this tutorial gives you a solid starting point to understand how event tracking systems work!