🏑 Zillow Scraper β€” Zestimates & Property Data avatar

🏑 Zillow Scraper β€” Zestimates & Property Data

Pricing

from $25.00 / 1,000 results

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🏑 Zillow Scraper β€” Zestimates & Property Data

🏑 Zillow Scraper β€” Zestimates & Property Data

Extract Zillow property listings β€” Zestimates, price history, tax data, neighborhood stats. Real estate market analysis.

Pricing

from $25.00 / 1,000 results

Rating

0.0

(0)

Developer

Stephan Corbeil

Stephan Corbeil

Maintained by Community

Actor stats

0

Bookmarked

1

Total users

0

Monthly active users

4 hours ago

Last modified

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What does Zillow Scraper do?

Zillow Scraper extracts real estate listings from Zillow.com including property prices, addresses, square footage, bedrooms, bathrooms, and listing details for any location or search criteria.

Why use Zillow Scraper?

Real estate data powers investment decisions, market analysis, and property valuations. This scraper delivers structured listing data at scale, replacing manual browsing with automated data collection.

Use cases

  • Real Estate Investment: Find properties matching investment criteria across markets
  • Market Analysis: Track price trends, inventory levels, and market conditions
  • Property Valuation: Compare recent sales and active listings for pricing research
  • Portfolio Management: Monitor property values and market changes
  • Academic Research: Collect housing data for economic and demographic studies

Input parameters

ParameterTypeDescription
locationStringCity, ZIP code, or address to search
maxPriceNumberMaximum listing price filter
minPriceNumberMinimum listing price filter
maxResultsNumberMaximum results (default: 20)

Output example

{
"address": "123 Main St, Austin, TX 78701",
"price": 450000,
"bedrooms": 3,
"bathrooms": 2,
"sqft": 1850,
"lotSize": "0.25 acres",
"yearBuilt": 2005,
"propertyType": "Single Family",
"listingStatus": "For Sale"
}

Pricing

Pay-Per-Event pricing: $3.00 per 1,000 results. Platform fee: $0.005 per start.


πŸ’» Code Example β€” Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/zillow-scraper").call(run_input={
# Fill in the input shape from the actor's input_schema
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

🌐 Code Example β€” cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~zillow-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{ /* input schema */ }'

❓ FAQ

Q: How do I get started? Sign up at apify.com, grab your API token from Settings β†’ Integrations, and run the actor via the Apify console, API, Python SDK, or any integration (Zapier, Make.com, n8n).

Q: What's the typical cost per run? See the pricing section below. Most runs finish under $0.10 for typical batches.

Q: Is this actor maintained? Yes. NexGenData maintains 140+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get responses within 24 hours.

Q: Can I use the output commercially? Yes β€” you own the output data. Check the target site's Terms of Service for any usage restrictions on the scraped content itself.

Q: How do I handle rate limits? Apify manages concurrency and retries automatically. For very large batches (10K+ items), run multiple smaller jobs in parallel instead of one mega-job for better reliability.

πŸ’° Pricing

Pay-per-event pricing β€” you only pay for what you actually extract.

  • Actor Start: $0.0050
  • result: $0.0250

πŸš€ Apify Affiliate Program

New to Apify? Sign up with our referral link β€” you get free platform credits on signup, and you help fund the maintenance of this actor fleet.


Built and maintained by NexGenData β€” 140+ actors covering scraping, enrichment, MCP servers, and automation.