dmv-aptfind 1.1.0

Personal apartment search tool for Swedish listings (Qasa)

dmv-aptfind

A personal apartment research tool for Qasa listings in Sweden, Norway, and Finland. Search, save, tag, annotate, and compare apartments — all from your browser. No account required, no data leaves your machine.

Quick start

uvx dmv-aptfind

This installs the tool in an isolated environment, starts a local server on port 8788, and opens the app in your browser. Run the same command again whenever you want to use it — uvx handles updates automatically.

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Features

Search

Open the Search tab and pick a city. You can filter by:

Filter	Values
City	Area identifier in the format se/gothenburg — see table below
Rooms	min / max
Rent	min / max (SEK)
Size	min / max (m²)
Furnished	yes / no / either
Home type	apartment, house, room
First-hand, student, senior, corporate	toggle
Sort	newest first or by rent

The area field uses Qasa's internal identifier format — country-code/city:

City	Area identifier
Gothenburg	se/gothenburg
Stockholm	se/stockholm
Malmö	se/malmo
Oslo	no/oslo
Helsinki	fi/helsinki

Results appear as a list on the left and as pins on the map simultaneously. For large cities the search is capped at ~531 results to keep response times reasonable.

Add by URL — if you already have a Qasa listing URL, paste it directly into the field at the top of My List and press Add. No need to search first.

Saved searches

Click Save search after configuring filters to store the preset. Saved searches are listed in the Saved Searches tab; clicking one reloads the filters and re-runs the search immediately.

My list

Apartments you save accumulate in the My List tab. Each card shows the primary photo, address, rent, room count, size, tags, and comment count.

Click any card to open the detail panel on the right, which shows:

• Full rent, size, rooms, floor, address
• Link to the original Qasa listing
• Description from the landlord
• Tags (edit inline)
• Timestamped notes (add / delete individually)
• Commute times to your saved destinations
• All listing photos

Click a map pin to jump directly to that apartment's detail panel.

Tags

Tags are freeform — type anything. The app ships with these suggestions:

Tag	Map pin colour
favourite	amber
interested	green
applied	blue
visited	purple
rejected	red
not interested	red
any other tag	grey

The pin colour on the map reflects the first tag assigned. Apartments with no tags use grey.

Commute times

The app calculates door-to-door travel times to your saved destinations simultaneously, using four transport modes:

🚗 driving · 🚌 transit · 🚶 walking · 🚲 cycling

To set up destinations:

1. Open any saved apartment's detail panel.
2. Scroll to the Commute section.
3. Click Edit and add destinations by name (e.g. "Chalmers University") or address.

Each time badge is a direct link to Google Maps directions for that exact route and mode. Commute destinations are shared across all apartments — add them once and they appear everywhere.

HTML export (share by email)

Export a self-contained HTML report you can email to someone or open offline:

• From any apartment's detail panel: click Share as HTML ✉ to export that single apartment.
• From the bottom of My List: click the full-list Share as HTML ✉ button, choose which tags to include, and download.

The exported file includes:

• A summary table at the top with Qasa link, address, size, rent, tags, first note, commute times, and availability — sorted favourites first, then interested, then other tags alphabetically
• Individual sections per apartment with all notes, commute table with Google Maps links, description, and photos

The report is a single .html file with styling inlined — no internet connection needed to view it.

JSON backup / restore

Use the Export JSON and Import JSON buttons at the bottom of My List to back up or restore your data.

On import you choose:

• Merge — adds new apartments without touching existing ones
• Replace — overwrites your entire list

The app warns you if your stored data grows beyond 4 MB.

Dark mode

The app follows your system appearance (light / dark) automatically.

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Data storage

Everything is stored in your browser's localStorage under the key apartment-finder-db. Nothing is sent to any server except:

• Qasa's API (to fetch listing data when you search or add by URL)
• Google Maps (to calculate commute times, when you use that feature)

Clearing your browser's site data for localhost will erase your list — use Export JSON regularly if your list matters to you.

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Development setup

Requirements: Python 3.12+, Node 18+

git clone <repo>
cd apartment-finder

# Backend
cd backend
python3.12 -m venv .venv && source .venv/bin/activate
pip install -r requirements-dev.txt
uvicorn main:app --reload --port 8000

# Frontend (separate terminal)
cd frontend
npm install
npm run dev        # → http://localhost:5173

Run tests:

# Backend
cd backend && PYTHONPATH=. pytest -v

# Frontend
cd frontend && npm run test

Build and publish the PyPI package:

# From repo root (requires Node for the frontend build step)
pip install hatch twine
hatch build
twine upload dist/*