Pricing
Pay per usage
Realtor Property Scraper allows you to extract detailed listing data from Realtor.com at scale. Monitor markets, track pricing trends, and build comprehensive property databases without the manual hassle.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Property API
Actor stats
1
Bookmarked
32
Total users
0
Monthly active users
20 days ago
Last modified
Share
You can access the Realtor Property Data Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "cities": ["Los Angeles"] }9
10# Run the Actor and wait for it to finish11run = client.actor("propertyapi/realtor-property-data-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Realtor Property Data Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: