Get property listings and
market data automatically

ApifyForge helps real estate investors and analysts collect property listings by scraping portals for pricing, features, days on market, and agent contacts. Best for building comp datasets of 100-10,000 listings and tracking price trends weekly. Less suitable when you need MLS-direct data feeds or photo analysis. Costs $0.05-$0.15 per listing.

The problem

Real estate professionals manually browse Zillow, Realtor.com, and MLS systems to find comparable sales, track market trends, and build prospect lists. A single market analysis can take 10+ hours of manual copying. Portfolio investors monitoring dozens of markets cannot keep up manually.

The solution

Apify actors scrape property listings from real estate portals — extracting price, square footage, days on market, agent contact info, and property features. Schedule runs weekly to track price movements across markets. Export to spreadsheets for comp analysis or feed into investment models.

How it works

1

Choose your market

Define the geographic area, property type (residential, commercial, land), and price range you want to monitor.

2

Run a property scraper

Use a real estate scraper to extract listings matching your criteria. Each listing comes with price, address, features, photos, and agent contact info.

3

Schedule for trend tracking

Set up weekly runs to build a historical dataset. Track price changes, new listings, and days-on-market trends over time.

4

Export for analysis

Download as CSV for spreadsheet analysis, or push to a database for investment modeling. Use the cost calculator to estimate expenses before scaling up.

What does it cost?

Scraping 1,000 property listings costs $5-15 in PPE charges. Weekly monitoring of 500 properties: $10-30/month — compared to $200+/month for dedicated real estate data platforms.

Estimate your cost →

Ready to get started?

Sign in and set up the CLI in under 2 minutes. Your Apify token stays on your machine.

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