Scraping Rental Yield Data Across Global Real Estate Markets

Rental yield — the annual rent divided by property price — is the fundamental metric for real estate investing. Scraping this data across markets lets you compare investment opportunities globally. Why Scrape Rental Yields? Commercial real estate data costs thousands per year. Public property listings contain all the information needed to calculate yields. A well-built scraper gives you institutional-grade data for free. Setup pip install requests beautifulsoup4 pandas numpy Scraping Property Listings Here's a framework for collecting rental and sale prices from property portals: import requests from bs4 import BeautifulSoup import pandas as pd import re def scrape_property_listings ( city , listing_type = " rent " ): params = { " api_key " : " YOUR_SCRAPERAPI_KEY " , " url " : f " https://example-property-site.com/ { city } / { listing_type } " , " render " : " true " } response = requests . get ( " https://api.scraperapi.com " , params = params ) soup = BeautifulSoup ( response . tex