WhereToLive.LA

• What I'm Using
• A Deeper Dive
• How to Build and Run

- Docker - Non-Docker

This is an interactive map based on /u/WilliamMcCarty's and /u/TannerBeyer's weekly spreadsheets of new rental & for-sale listings in the /r/LArentals & /r/LosAngelesRealEstate subreddits. Just like the actual spreadsheets, you can filter the map based on different criteria, such as

• Monthly rent/List price
• Security deposit cost
• Number of bedrooms
• Number of garage spaces
• Pet Policy
• Square footage
• HOA fees (for-sale properties only)
• and more!

Some additional capabilities are offered, such as a featured MLS photo for the property and a link to the associated MLS listing page (if available).

The Dash MCP endpoint is available at https://wheretolive.la/_mcp for MCP clients that support Streamable HTTP.

You can click the toggle buttons next to the title to switch between For Rent and For Sale listings:

⚠ This website is mobile-friendly but I highly recommend using an actual computer or tablet for the best experience

What I'm Using

• BeautifulSoup (webscraping MLS photos and links)
• Dash Leaflet (displaying the map and graphing the markers)
• Dash Bootstrap Components (the website layout and icons)
• GeoPy (geocoding coordinates via the Google Maps API)
• ImageKit (resizing MLS photos into a standard size on the fly)
• Pandas (handling and manipulating the rental property data for each address)

A Deeper Dive

I made a post detailing my idea, progress, challenges, etc.

How to Build and Run

• Clone the repo git clone https://github.com/perfectly-preserved-pie/larentals.git
• cd into the new directory
• Run uv run wheretolive-la. uv will install the project into its managed environment and expose the configured CLI commands from pyproject.toml.

Docker

Build the app image:

docker build -t larentals .

Run the app container:

docker run --rm -p 8080:8080 larentals

Non-Docker

Run the Dash app directly:

uv run wheretolive-la