🏡 Zillow Detail Scraper

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Turn any Zillow detail URL — or even a plain street address — into clean, structured JSON. This Actor pulls the full property record Zillow's own pages use: price and complete price & tax history, beds/baths, living area and lot size, assigned schools, photo galleries, listing agent & MLS facts, nearby homes & comparable sales, and dozens more fields. It works across homes, apartments, buildings and communities.

⭐ Why Choose Us?

• 🎯 Every page type — homedetails, /apartments/, /b/ buildings and /community/ pages, plus free-form addresses.
• 💸 Cost-efficient by design — starts with a direct connection and only escalates the network (datacenter → residential) when Zillow actually pushes back. No wasted proxy spend.
• 🧱 Deep, faithful data — you get the same rich object that hydrates Zillow's React app, not a thin scrape of the visible HTML.
• 💾 Live results — records are saved one-by-one as they're collected; a stopped run never loses what it already found.
• 📊 Per-section output — every record is tagged with the input it came from, so you can group results in the Output tab.

✨ Key Features

📥 Input

{
"startUrls":[
{"url":"https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_zpid/"},
{"url":"https://www.zillow.com/apartments/san-antonio-tx/westpond/5XkVjF/"}
],
"addresses":["18 Zelma Dr, Greenville, SC 29617"],
"propertyStatus":"RECENTLY_SOLD",
"extractBuildingUnits":"disabled",
"proxyConfiguration":{"useApifyProxy":true}
}

📤 Output

Each record is the full Zillow entity plus a few helper fields:

• sectionIndex / sourceUrl — which input this record came from (for grouping)
• addressOrUrlFromInput — the exact URL or address you supplied
• isValid — true when full data was retrieved
• scrapedAt — ISO timestamp
• recordType — property or unit

{
"sectionIndex":1,
"zpid":11026031,
"streetAddress":"17 Zelma Dr",
"city":"Greenville",
"state":"SC",
"zipcode":"29617",
"homeStatus":"RECENTLY_SOLD",
"homeType":"SINGLE_FAMILY",
"price":235000,
"bedrooms":3,
"bathrooms":2,
"livingArea":1450,
"resoFacts":{"...":"..."},
"priceHistory":["..."],
"taxHistory":["..."],
"schools":["..."],
"addressOrUrlFromInput":"https://www.zillow.com/homedetails/.../11026031_zpid/",
"isValid":true,
"scrapedAt":"2026-06-07T12:00:00.000Z"
}

🚀 How to Use (Apify Console)

1. Log in at console.apify.com → Actors.
2. Open Zillow Detail Scraper.
3. Add your URLs and/or addresses, set the status & proxy options.
4. Click Start.
5. Watch the live logs as records stream in.
6. Open the Output tab — switch to By Section to group by input.
7. Export to JSON / CSV / XLSX.

🤖 Use via API

curl-X POST "https://api.apify.com/v2/acts/YOUR~zillow-detail-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN"\
-H"Content-Type: application/json"\
-d'{"startUrls":[{"url":"https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_zpid/"}]}'

🎯 Best Use Cases

• Real-estate market research & comps analysis
• Lead enrichment for agents and investors
• Building price-history / tax datasets
• Powering valuation and listing-monitoring tools

💲 Pricing

This Actor uses pay-per-event billing — you're charged per result row written to the dataset, plus standard platform usage. The exact price is shown on the Actor's Store page.

❓ FAQ

Can I scrape by address instead of URL? Yes — use the addresses field; each one is resolved to its detail page.

What if Zillow blocks a request? The Actor automatically upgrades the network (datacenter → residential, retried up to 3×) and continues. Switches are logged.

Do apartments and buildings work? Yes. Turn on extractBuildingUnits to also get each individual unit as a record.

Will a stopped run lose data? No — records are saved live as they're scraped.

⚖️ Cautions / Legal

• Only publicly available data is collected.
• You are responsible for compliance with Zillow's Terms of Service and applicable laws (GDPR, CCPA, etc.).
• Use reasonable rate limits and scrape responsibly.

🛟 Support & Feedback

Questions, bugs or feature requests? Reach out at dev.scraperengine@gmail.com 🤝