Realtor Properties Scraper
3 days trial then $25.00/month - No credit card required now
Realtor Properties Scraper
3 days trial then $25.00/month - No credit card required now
Efficiently gather detailed property data from Realtor, including listings for sale, rent, and sold. Extract key details like prices, descriptions, photos, school info, and environmental risks. Ideal for real estate analysis, market research, and data-driven insights.
You can access the Realtor Properties Scraper programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "city": "",
10 "state": "New York (NY)",
11 "postalCode": "",
12 "maxItems": 10,
13 "forSale": True,
14 "forRent": False,
15 "readyToBuild": True,
16 "sold": False,
17 "offMarket": False,
18 "proxy": { "useApifyProxy": True },
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("aitorsm/realtor-properties-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27 print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startRealtor Properties Scraper API in Python
The Apify API client for Python is the official library that allows you to use Realtor Properties Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Aitor Sanchez-MansillaActor Metrics
1 monthly user
-
1 star
>99% runs succeeded
Created in Jan 2025
Modified 2 days ago
