Zillow Urls Scraper
Pricing
$40.00/month + usage
Zillow Urls Scraper
Zillow Urls Scraper lets you extract detailed real estate data from Zillow, Get structured info like lot size, price history, listing agent, school data, walk/bike scores, and more. Just input the property URLs and receive clean JSON data β ideal for real estate analysis, research, or automation.
0.0 (0)
Pricing
$40.00/month + usage
0
Total users
2
Monthly users
2
Runs succeeded
>99%
Last modified
3 days ago
You can access the Zillow Urls 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, youβll 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 = {9 "urls": ["https://www.zillow.com/homedetails/35-Wren-St-West-Roxbury-MA-02132/59156529_zpid/"],10 "proxyConfiguration": {11 "useApifyProxy": True,12 "apifyProxyGroups": ["RESIDENTIAL"],13 },14}15
16# Run the Actor and wait for it to finish17run = client.actor("getdataforme/zillow-urls-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])21for item in client.dataset(run["defaultDatasetId"]).iterate_items():22 print(item)23
24# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-startZillow Urls Scraper API in Python
The Apify API client for Python is the official library that allows you to use Zillow Urls Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
