Apify Realtor.com ZIP Data Scraper

This actor scrapes real estate data from Realtor.com for specified ZIP codes. The actor takes an array of ZIP codes as input and returns detailed housing and rental data for each ZIP code in JSON format. It is designed to provide valuable insights into real estate trends, making it ideal for market analysis, investment decisions, or competitive research.

Features

• Fetch Comprehensive Data: Includes median listing prices, sold prices, days on market, and rental data.
• Geo Information: Provides geographical centroids (latitude and longitude) for each ZIP code.
• Trend Analysis: Includes percent changes for key metrics.
• Customizable Input: Scrape data for any list of U.S. ZIP codes.
• Output in JSON: Easy to integrate into downstream applications or analyses.

Input

Provide an array of ZIP codes in the input field. Example:

1{
2    "zips": ["90210", "10001"]
3}

Output

The scraper returns a JSON array with detailed real estate data for each ZIP code. Example output:

1[
2    {
3        "zip": "90210",
4        "state": "CA",
5        "city": "Beverly Hills",
6        "counties": "Los Angeles",
7        "centroid": {
8            "lon": -118.414739,
9            "lat": 34.101005
10        },
11        "home_median_listing_price": 6997000,
12        "home_median_sold_price": 4300000,
13        "home_median_price_per_sqft": 1483,
14        "home_median_days_on_market": 80,
15        "home_listings": 266,
16        "active_listing_count_percent_change": -0.34,
17        "median_days_on_market_percent_change": 11.89,
18        "median_listing_price_percent_change": 1.56,
19        "median_listing_price_sqft_percent_change": -0.81,
20        "apt_listings": 222,
21        "apt_median_rent": 23237,
22        "apt_active_rental_listing_count_percent_change": -5.6
23    },
24    {
25        "zip": "10001",
26        "state": "NY",
27        "city": "New York",
28        "counties": "New York",
29        "centroid": {
30            "lon": -73.996985,
31            "lat": 40.75011
32        },
33        "home_median_listing_price": 2412500,
34        "home_median_sold_price": 2240000,
35        "home_median_price_per_sqft": 1823,
36        "home_median_days_on_market": 84,
37        "home_listings": 155,
38        "active_listing_count_percent_change": 8.4,
39        "median_days_on_market_percent_change": -10.64,
40        "median_listing_price_percent_change": -3.5,
41        "median_listing_price_sqft_percent_change": -3.23,
42        "apt_listings": 531,
43        "apt_median_rent": 5406,
44        "apt_active_rental_listing_count_percent_change": 0.37
45    }
46]

Requirements

• Residential Proxy: A residential proxy is highly recommended to avoid IP bans or CAPTCHAs during scraping.
• Apify Account: The actor runs on the Apify platform.

Setup and Usage

1. Prepare the Input: Add your ZIP codes to the input array.

2. Run the Actor: Execute the actor on the Apify platform.

3. Download Results: The output will be available in the dataset section of your Apify dashboard.

Use Cases

• Real Estate Market Analysis: Understand pricing trends in specific ZIP codes.
• Investment Decisions: Identify lucrative areas for property investment.
• Rental Trends: Analyze rental rates and availability by region.
• Geo-Centric Insights: Utilize geographic centroids for mapping and visualization.

Notes

• Data Accuracy: Data is scraped directly from Realtor.com and may vary based on listing updates.
• Proxy Usage: Residential proxies ensure smoother scraping and reduce the risk of blocking.

License

This scraper is distributed under the MIT License.