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 weekly spreadsheets of new rental & for-sale listings in the /r/LArentals & /r/LosAngelesRealEstate subreddits and at https://www.freelarentals.com/. 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).

I also have a page for for-sale properties based on the same kind of spreadsheets posted in /r/LosAngelesRealEstate.

Or you can click the Looking to buy a property instead? button:

⚠ 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

Docker

1. Pull the Docker image: docker pull strayingfromthepath:larentals
2. Run the Docker image: docker run -p 1337:80 larentals
3. The Dash app will be accessible at $HOST:1337

Non-Docker

1. Clone the repo git clone https://github.com/perfectly-preserved-pie/larentals.git
2. cd into the new directory
3. Install requirements with pip install -r requirements.txt
4. Launch the webserver with gunicorn -b 0.0.0.0:8050 --workers=4 app:server or python3 app.py for the default Dash webserver.
5. Have fun