Build a Python Itinerary Generator

Step-by-step guide to creating a Python itinerary tool with AI and location scraping.

By Casey Builds It · YouTube Video cNigjD-GZfI

1. Project Setup and Core Features

Define the essential components and functionalities for your itinerary generator.

• Pull reference material from an existing website (e.g., Airbnb feature).
• Feed reference material as an example into Cursor.
• Define core features: date selection, guest counts (adults, kids, dogs).
• Define budget preferences.
• Define custom activity requests.
• Implement PDF export functionality.

2. Location Data Scraping

Learn how to dynamically pull location-based ideas instead of relying on pre-scraped data.

• Test the tool with an initial location (e.g., Colorado Springs).
• Push the tool further with different locations (e.g., Portland, Oregon).
• Test scraping real businesses, restaurants, and activities.
• Utilize sources like OpenStreetMap for scraping.
• Utilize sources like Wikipedia for scraping.
• Utilize sources like DuckDuckGo for scraping.

3. AI Integration with Gemini 2.5 Flash

Integrate Google Gemini 2.5 Flash for AI-powered itinerary generation.

• Use Cursor for AI-assisted coding.
• Configure Gemini 2.5 Flash for itinerary generation.
• Understand API costs (Gemini Flash vs. Claude).
• Test AI-generated content for itinerary suggestions.

4. Data Handling and Storage

Manage and store scraped and generated data effectively.

• Extract data from various sources.
• Store extracted data in JSON format.
• Implement conditional logic for data processing.
• Input area and time information.
• Save itinerary data to a database (optional).
• Implement search functionality for stored data.

5. Enhancements and Advanced Features

Explore options to level up your itinerary generator.

• Integrate weather API.
• Implement GPS-based distance filtering.
• Integrate event APIs for concerts and local happenings.
• Add address information to generated itineraries.
• Implement travel distance calculations.
• Allow users to make changes to generated itineraries.

6. Tool Development and Refinement

Focus on the practical development process within Cursor.

• Debug a broken location scrape.
• Define the area for the build.
• Implement area-based logic.
• Use the tool's slash command.
• Save the build progress.
• Review the output of the tool.
• Add address details to generated output.

7. API Key Management

Securely manage API keys for external services.

• Enter your Google API key into the tool.
• Generate an API key for necessary services.
• Save the API key securely.
• Understand the Python tool's interaction with the API.

8. Finalizing and Exporting

Complete the build and prepare the itinerary for use.

• Generate the itinerary.
• Save the itinerary as a PDF output.
• Process the itinerary generation completely.
• Review arrival details.
• Check input parameters before final generation.
• Identify local activities and things to do.
• Save the finished build.

Build practical AI tools with Python and Cursor.