Client Background
A property analytics company needed structured data on rental listings (price, location, amenities) from regional real estate portals.
The Challenge
Listings are loaded via AJAX and require geolocation parameters. Images and floorβplan URLs had to be captured, too.
Objectives
β¦ Scrape listing metadata and media URLs
β¦ Geocode addresses
β¦ Export to CSV and Postgres
Our Approach
ππππ ππ«ππ°π₯π’π§π : Intercepted XHR calls; hit JSON endpoints directly to retrieve listing batches
ππππ’π ππ±ππ«ππππ’π¨π§: Captured image and floorβplan URLs via BeautifulSoup
πππ¨ππ¨ππ’π§π : Used a paid API (e.g., Google Maps) to convert addresses to lat/long
πππππππ¬π ππ§π ππ¬ππ’π¨π§: Steam-cleansed data into PostgreSQL
Results & Impact
β¦ Collected 15K+ listings per region per week
β¦ Reduced data latency from 48 hours to nearβreal time
β¦ Enabled new heatβmap visualizations for clients
Tools & Technologies
Python, Requests, BeautifulSoup, SQLAlchemy, Google Maps API
Client Testimonial
βExceptional deliveryβour analytics dashboard now updates hourly with fresh listings data.β