Madlan Scraper - Israel Sold Prices & Neighbourhood Data
Pricing
from $0.40 / 1,000 sold transactions
Scrape Madlan.co.il: closed sale prices back to 2004, price per sqm, rent yields, demographics, schools and area analysis for any Israeli city or neighbourhood.
You can access the Madlan Scraper - Israel Sold Prices & Neighbourhood Data 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 "operation": "transactions",10 "areaUrls": [],11 "cities": ["תל אביב יפו"],12 "neighbourhoods": [],13 "maxResults": 200,14 "fromYear": 0,15 "toYear": 0,16 "minPrice": 0,17 "maxPrice": 0,18 "minRooms": 0,19 "maxRooms": 0,20 "minSizeSqm": 0,21 "maxSizeSqm": 0,22 "benchmarkSizes": [],23 "buildCondition": "all",24}25
26# Run the Actor and wait for it to finish27run = client.actor("sian.agency/madlan-property-scraper").call(run_input=run_input)28
29# Fetch and print Actor results from the run's dataset (if there are any)30print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")31for item in client.dataset(run.default_dataset_id).iterate_items():32 print(item)33
34# 📚 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 Madlan Scraper - Israel Sold Prices & Neighbourhood Data API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: