Real Estate Price Index (Roll-up)
Pricing
from $8.50 / 1,000 city price index rows
Build one live asking-price index per city from eight in-process real-estate source adapters. Returns median/mean price and price per m² with honest sample, partial, and error metadata.
You can access the Real Estate Price Index (Roll-up) 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 API & Integrations 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 = {9 "cities": [10 "almaty",11 "tbilisi",12 ],13 "max_items_per_city": 10,14 "max_pages_per_city": 1,15 "max_concurrency": 2,16}17
18# Run the Actor and wait for it to finish19run = client.actor("zinin/re-price-index").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")23for item in client.dataset(run.default_dataset_id).iterate_items():24 print(item)25
26# 📚 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 Real Estate Price Index (Roll-up) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: