Real estate API Python Client
Extract Real estate data with this Real estate API Python client. Get programmatic access to GPS coordinates, land area, living area, bedrooms/bathrooms, locations, property prices, and more using simple Python code. Start free, no credit card required.
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Integrate Real estate API
The Apify API client for Python is the official library that allows you to use Real estate API in Python, providing convenience functions and automatic retries on errors. Get started with simple pip installation and robust error handling built-in.
Python
JavaScript
HTTP
MCP
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 = { "location": "New York, NY" }9
10# Run the Actor and wait for it to finish11run = client.actor("tri_angle/real-estate-aggregator").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-startGet data with Real estate API Python client
Use our Python API client to extract real estate data by providing location, offer types, and provider selection. The API returns structured data, including property prices, GPS coordinates, living areas, bedrooms, bathrooms, street addresses, and photos from multiple platforms like Zillow, Realtor, Zumper, Apartments.com, and Rightmove with JSON formatting.
Input
{ "units": "metric", "location": "New York, NY", "providers": [ "apartments", "realtor", "zumper", "zillow", "rightmove" ], "offerTypes": [ "sale", "rent" ], "deduplicateResults": true, "maxResultsPerProvider": 20}Output
{ "gps": { "lat": 43.291458, "lng": -73.578072 }, "zip": "12839", "city": "New York", "urls": { "realtor": "<https://www.realtor.com/realestateandhomes-detail/31-33-Thomas-Ave_New-York_NY_12839_M93244-31969>" }, "price": 420000, "state": "NY", "county": "Washington", "street": "31-33 Thomas Ave", "country": "United States", "localId": { "realtor": "2976460521" }, "bedrooms": 6, "landArea": 6879.4308, "pictures": { "realtor": [ "<https://ap.rdcpix.com/image1.jpg>", "<https://ap.rdcpix.com/image2.jpg>" ] }, "bathrooms": 3, "offerType": "sale", "providers": [ "realtor" ], "livingArea": 6.9, "priceCurrency": "USD", "realEstateType": { "realtor": "multi_family" }}Sign up for Apify account01
Creating an account is quick and free — no credit card required. Your account gives you access to more than 5,000 scrapers and APIs.
Install Apify Python client02
Install the Apify Python client using pip: pip install apify-client. This package provides a simple interface to interact with Real estate API from your Python applications.
Get your Apify API token03
Go to settings in the Apify console and navigate to the “API & Integrations” tab. There, create a new token and save it for later.
Integrate Real estate API04
Navigate to the Real estate API page and click on the API dropdown menu in the top right corner. In the dropdown menu, you can see API clients, API endpoints, and more. Use the provided Python code examples to integrate Real estate API into your Python application.
Get your Real estate data via API05
The Real estate API returns structured JSON data that works perfectly with pandas, NumPy, and other Python data analysis libraries.
Why use Apify?
Never get blocked
Every plan (free included) comes with Apify Proxy, which is great for avoiding blocking and giving you access to geo-specific content.
Customers love us
We truly care about the satisfaction of our users and thanks to that we're one of the best-rated data extraction platforms on both G2 and Capterra.
Monitor your runs
With our latest monitoring features, you always have immediate access to valuable insights on the status of your web scraping tasks.
Export to various formats
Your datasets can be exported to any format that suits your data workflow, including Excel, CSV, JSON, XML, HTML table, JSONL, and RSS.
Integrate Apify to your workflow
You can integrate your Apify runs with platforms such as Zapier, Make, Keboola, Google Drive, or GitHub. Connect with practically any cloud service or web app.
Large developer community
Apify is built by developers, so you'll be in good hands if you have any technical questions. Our Discord server is always here to help!
Python-ready Real estate data extraction
Connect to hundreds of apps right away using ready-made integrations, or set up your own with webhooks and our API.
No, there is no official unified real estate Python API client that aggregates data from multiple platforms like Zillow, Realtor, Zumper, Apartments.com, and Rightmove. Each platform has its own separate Python API client with different data formats and access restrictions. The Real Estate Aggregator solves this by providing a single Python API client that scrapes and standardizes data from all these platforms, delivering unified results with automatic deduplication.
Yes, you can try the Real Estate Aggregator Python API client for free. Apify offers free credits to new users, and the actor uses a pay-per-event pricing model starting at just $0.003 per actor start and $0.002 per extracted listing. You can test the functionality with a small dataset before scaling up your usage.
The Real Estate Aggregator Python API client provides comprehensive property data including property prices, GPS coordinates (latitude/longitude), living area and land area measurements, number of bedrooms and bathrooms, complete addresses (street, city, state, zip, county), property photos, real estate type classifications, currency information, and platform-specific metadata. The Python API client supports both rental and sale listings with consistent formatting across all supported platforms.
Yes, it is legal to scrape real estate data from public websites for legitimate business purposes using a Python API client. The Python API client only extracts publicly available property information that is already displayed on real estate platforms like Zillow, Realtor, and others. However, you should always review the terms of service of individual websites and ensure your Python API client usage complies with applicable laws and regulations in your jurisdiction.
Getting started with our Real estate Python API is easy — simply create a free Apify account, get your API token, and start using the Real estate API in Python, JavaScript, CLI, cURL, OpenAPI, or MCP.