Project · applications
Apartment Scout
Automated listing pipeline that collects, filters, and ranks apartments based on real-world search criteria.
Overview
Apartment Scout is an automated apartment search workflow that pulls listings from multiple sources, filters them against defined criteria, and surfaces the highest-fit options in a more structured way than manually checking sites one by one.
Technology Stack
Capabilities
- Multi-source listing collection
- Filter-based fit scoring
- High-match result surfacing
- Structured tracking workflow
- Notification-ready outputs
Implementation
Apartment Scout is designed as an automation pipeline that collects listing data, filters it against user-defined rules, and pushes higher-fit options into a tracked review surface.
Problem
Apartment hunting across multiple listing sites is repetitive and noisy. I wanted a workflow that could collect listings, apply practical filters like neighborhood, size, and pet-friendliness, and surface the best matches without constant manual searching.
Architecture
- Source Layer
- listing sites
- scraped results
- search inputs
- Filtering Layer
- fit rules
- criteria checks
- deduplication
- Tracking Layer
- structured results
- top matches
- status tracking
- Output Layer
- dashboard
- sheet output
- notifications
Listing sources
apartments • rentals • scraped pages
│
▼
Collection pipeline
scrape • normalize • deduplicate
│
▼
Fit filtering
neighborhood • size • pet-friendly • layout
│
▼
Structured results
tracked matches • ranked options • workflow output
│
▼
Dashboard / sheet / notifications
Public-safe workflow view for apartment scraping, filtering, and match surfacing.
Outcome
Apartment Scout reduces search friction by surfacing better-fit listings faster and turning a repetitive manual process into a more structured workflow.
What's Next
- More listing sources
- Better deduplication
- Ranking improvements
- Cleaner review dashboard