Zillow Search Results and Detail Scraper
2 hours trial then $10.00/month - No credit card required now
Zillow Search Results and Detail Scraper
2 hours trial then $10.00/month - No credit card required now
Unleash the full power of Zillow data - no limits, no restrictions. Comprehensive scraping for any search URL, delivering complete property insights at scale.
You can access the Zillow Search Results and Detail 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 "startUrls": [{ "url": "https://www.zillow.com/homedetails/17199-Park-Ave-Sonoma-CA-95476" }],
10 "addresses": ["18 Zelma Dr, Greenville, SC 29617"],
11 "proxy": {
12 "useApifyProxy": True,
13 "apifyProxyGroups": ["RESIDENTIAL"],
14 },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("memo23/zillow-cheerio-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startZillow Search Results and Detail Scraper API in Python
The Apify API client for Python is the official library that allows you to use Zillow Search Results and Detail Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Muhamed DidovicActor Metrics
10 monthly users
-
1 star
86% runs succeeded
4.9 hours response time
Created in Oct 2024
Modified 21 hours ago
