Pricing

Pay per usage

Real Estate Market Analyzer

Scrapes real estate listings from Realtor.com and Zillow to analyze market trends, pricing, and property statistics for any location.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Richard P

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

🏠 Real Estate Market Analyzer

An Apify Actor that scrapes and analyzes real estate listings from Realtor.com and Zillow to provide comprehensive market insights for any location.

Features

Multi-source scraping — Combines data from Realtor.com and Zillow for broader coverage
Deduplication — Removes duplicate listings by normalizing and comparing addresses
Market statistics — Automatically computes average/median price, price per sq ft, and more
Configurable filters — Filter by property type (house, condo, apartment) and max results
Structured output — Clean, normalized data pushed to Apify Dataset with proper schema
Graceful abort handling — Responds quickly to stop signals to minimize costs

Input

Field	Type	Required	Default	Description
`location`	string	✅	—	Location to search (e.g., `san-francisco-ca`, `new-york-ny`, `austin-tx`)
`propertyTypes`	array	❌	`["house", "condo"]`	Types of properties: `house`, `condo`, `apartment`
`maxResults`	integer	❌	`20`	Maximum listings to return (1–100)
`includePriceHistory`	boolean	❌	`true`	Include estimated price trends
`webhookUrl`	string	❌	—	Optional webhook URL for run completion notification

Example input

{
    "location": "san-francisco-ca",
    "propertyTypes": ["house", "condo"],
    "maxResults": 20,
    "includePriceHistory": true
}

Output

Each listing contains:

Field	Type	Description
`timestamp`	string	ISO 8601 scrape timestamp
`source`	string	Source website (`realtor.com` or `zillow`)
`address`	string	Full property address
`price`	number	Listing price in USD
`beds`	number	Number of bedrooms
`baths`	number	Number of bathrooms
`sqft`	number	Square footage
`propertyType`	string	Property type (house, condo, etc.)
`listingUrl`	string	URL to the original listing
`daysOnMarket`	number	Days the listing has been active
`pricePerSqft`	number	Calculated price per square foot

A market summary record is also appended with aggregate statistics.

Use cases

Market research — Understand pricing trends in a specific area
Investment analysis — Compare property values and identify opportunities
Neighborhood comparison — Evaluate different locations side by side
Price monitoring — Track market changes over time with scheduled runs

Local development

# Clone and set up
cd real-estate-analyzer
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

# Run locally
APIFY_ACTOR_PYTHON_VENV_PATH=.venv apify run --purge

# Deploy to Apify
apify push

Limitations

These websites may employ anti-scraping measures; the Actor uses realistic headers and delays
Some data fields may be unavailable depending on the listing page structure
Zillow relies heavily on JavaScript rendering — some listings may be missed via static HTML
This tool is for personal and research use; respect the target websites' Terms of Service

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