Zillow Search Scraper

Zillow Search Scraper

The Zillow Search Scraper is a fast, scalable Zillow search results scraper that collects structured property listings from public Zillow pages — a Zillow data scraper and Zillow real estate scraper in one. It solves the pain of manual collection by automating pagination and extraction, so marketers, developers, data analysts, and researchers can extract Zillow data for market analysis, pricing, and lead generation at scale. With dynamic zoom and HTML modes, this Zillow web scraping tool helps you scrape Zillow listings reliably across cities, regions, or ZIP codes.

What data / output can you get?

Below are key fields the actor saves to the Apify dataset. You can export results to JSON, CSV, or Excel.

Data field	Description	Example value
zpid	Zillow Property ID (string)	"55826232"
price	Formatted price string	"$1,000,000"
unformattedPrice	Numeric price parsed from price	1000000
address	Full address (as shown by Zillow)	"3810 Hawthorne Ave, Dallas, TX 75219"
addressStreet	Street component of the address	"3810 Hawthorne Ave"
addressCity	City name	"Dallas"
beds	Number of bedrooms	3
baths	Number of bathrooms	3
area	Square footage	2622
statusType	Listing status code	"FOR_SALE"
detailUrl	Absolute URL to the listing page	"https://www.zillow.com/homedetails/..."
zestimate	Zillow’s estimated value (if present)	994000

Note: The dataset also includes additional metadata such as id, imgSrc, statusText, latLong, hdpData, countryCurrency, carouselPhotosComposable, and more. Some fields may be empty or defaulted when Zillow does not provide them. Export your dataset in your preferred format (JSON, CSV, Excel) directly from Apify.

Key features

• ⚡ Dynamic zoom API mode for large result sets
  Uses “PAGINATION_WITH_DYNAMIC_ZOOM_INCREASE” to split map bounds into quadrants and bypass typical pagination caps (~820), making it ideal when you need to scrape Zillow listings at scale.

• 🧭 Reliable HTML pagination fallback
  “PAGINATION_WITHOUT_ZOOMING_IN” parses public HTML pages and extracts from client-side data, offering a robust alternative when internal endpoints are unavailable.

• 🗺️ Map marker mode for quick snapshots
  “MAP_MARKERS” mode focuses on map-based results (capped to roughly 500 listings per search URL), perfect for lighter or targeted runs.

• 🔁 Automatic proxy fallback with locking
  Starts direct and automatically switches to residential proxies with retry logic on blocks; once a working proxy is found, it’s locked for the remainder of the run for stability.

• 📥 Bulk processing of cities, regions, or ZIPs
  Feed multiple search URLs or keywords/locations and process them in one run — a true Zillow search scraper tool for batch workflows.

• 💾 Live dataset saving
  Results are pushed to the Apify dataset as they’re collected, minimizing data loss and enabling partial exports if a run is stopped.

• 🧪 Developer-friendly, automation-ready
  Built on Apify’s Python runtime. Integrate into pipelines as a Zillow API alternative for data, trigger via Apify API, and automate exports for BI or CRM.

• 📊 Clean, structured output
  Extract Zillow data like prices, beds/baths, area, addresses, listing status, and Zestimate in a schema that’s easy to analyze and export to CSV.

How to use Zillow Search Scraper - step by step

1. Sign in to your Apify account at https://console.apify.com.
2. Open the “Zillow Search Scraper” actor.
3. Add input data:
   • Paste one or more Zillow search URLs (with searchQueryState for best results), or simple keywords like “dallas-tx” or “new-york-ny”.
4. Choose the extraction method:
   • PAGINATION_WITH_DYNAMIC_ZOOM_INCREASE (best for large sets)
   • PAGINATION_WITHOUT_ZOOMING_IN (HTML parsing)
   • MAP_MARKERS (snapshot; ~500 cap per URL)
5. Set Maximum Items to control how many listings to collect per search URL.
6. Configure Proxy (optional):
   • By default, requests start without a proxy; on blocks, the scraper automatically switches to residential proxies with retries.
7. Click “Start” to run. Watch logs for live progress and snapshot messages as items are saved.
8. Download your results from the “Dataset” tab and export to JSON, CSV, or Excel.

Pro tip 💡: Run multiple search URLs (e.g., different ZIPs or cities) to build a larger dataset for investment research, price monitoring, or Zillow scraping automation flows.

Use cases

Use case	Description
Real estate market research	Analyze inventory, pricing, and trends by city or ZIP; build dashboards from CSV exports using this Zillow search results scraper.
Price monitoring & valuation tracking	Track listing price vs. unformattedPrice and zestimate to evaluate changes over time with a Zillow home price scraper workflow.
Investment property discovery	Filter and rank scraped listings by beds, baths, and area to spot attractive opportunities faster.
Competitive analysis	Compare listing density and statuses across neighborhoods to benchmark competition.
Lead generation	Use structured listing data (addresses, URLs) to fuel a Zillow lead scraper pipeline for outreach.
Data enrichment / API pipelines	Use the actor as a Zillow API alternative for data in ETL jobs; automate exports to your warehouse.
Academic & policy research	Quantify housing supply and price distributions across regions using clean Zillow data export CSV files.

Why choose Zillow Search Scraper?

A production-ready Zillow listing scraper focused on accuracy, automation, and scale — without browser extensions.

• ✅ Dual extraction modes for resilience: dynamic zoom API scraping + HTML parsing fallback
• ✅ Automatic proxy fallback with retries and locking for stable, long runs
• ✅ Bulk inputs to scrape Zillow by city or zip for large-scale coverage
• ✅ Clean, structured output for easy Zillow data export CSV or JSON
• ✅ Developer-friendly and automation-ready with the Apify platform
• ✅ Safer alternative to brittle browser add-ons — no Zillow scraper Chrome extension required
• ✅ Built for repeatable workflows in research, analytics, and lead generation

Bottom line: This Zillow web scraping tool emphasizes reliable extraction and scalable automation over fragile, manual approaches.

Is it legal / ethical to use Zillow Search Scraper?

Yes — when used responsibly. The actor extracts data from publicly available Zillow pages and does not access private or authenticated content. Always:

• Scrape only public data and respect website terms of service.
• Comply with data protection laws (e.g., GDPR, CCPA) and local regulations.
• Use results responsibly and avoid spam or misuse.
• Consult your legal team for edge cases or jurisdiction-specific rules.

Input parameters & output format

Example input JSON

{
  "searchUrls": [
    "https://www.zillow.com/dallas-tx/?category=SEMANTIC&searchQueryState=%7B%22isMapVisible%22%3Atrue%2C%22mapBounds%22%3A%7B%22north%22%3A33.10483509834637%2C%22south%22%3A32.53008985410089%2C%22east%22%3A-96.3544578671875%2C%22west%22%3A-97.2004051328125%7D%2C%22filterState%22%3A%7B%22sort%22%3A%7B%22value%22%3A%22globalrelevanceex%22%7D%7D%2C%22isListVisible%22%3Atrue%2C%22usersSearchTerm%22%3A%22Dallas%2C%20TX%22%2C%22category%22%3A%22cat1%22%2C%22regionSelection%22%3A%5B%7B%22regionId%22%3A38128%2C%22regionType%22%3A6%7D%5D%7D",
    "new-york-ny"
  ],
  "extractionMethod": "PAGINATION_WITH_DYNAMIC_ZOOM_INCREASE",
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Parameters reference

Field	Type	Required	Default	Description
searchUrls	array	Yes	—	List of Zillow search URLs (recommended: with searchQueryState) or keywords/locations like “dallas-tx”, “new-york-ny”. Supports bulk input.
extractionMethod	string (enum)	No	PAGINATION_WITH_DYNAMIC_ZOOM_INCREASE	Choose scraping mode: PAGINATION_WITH_DYNAMIC_ZOOM_INCREASE, PAGINATION_WITHOUT_ZOOMING_IN, MAP_MARKERS. Dynamic zoom splits large areas to bypass caps; HTML mode parses pages; Map markers caps ~500 results per URL.
maxItems	integer	No	20	Maximum number of property listings to scrape per search URL (1–10000).
proxyConfiguration	object	No	{"useApifyProxy": false}	Proxy settings. Starts direct by default; on blocks, the actor automatically switches to residential proxies with retries.

Example output JSON

{
  "zpid": "55826232",
  "palsId": null,
  "id": "55826232",
  "rawHomeStatusCd": "FOR_SALE",
  "marketingStatusSimplifiedCd": null,
  "providerListingId": "*APID55826232*",
  "imgSrc": "https://photos.zillowstatic.com/fp/abc123-p_e.jpg",
  "hasImage": true,
  "detailUrl": "https://www.zillow.com/homedetails/55826232_zpid/",
  "statusType": "FOR_SALE",
  "statusText": "House for sale",
  "countryCurrency": "$",
  "price": "$1,000,000",
  "unformattedPrice": 1000000,
  "address": "3810 Hawthorne Ave, Dallas, TX 75219",
  "addressStreet": "3810 Hawthorne Ave",
  "addressCity": "Dallas",
  "addressState": "TX",
  "addressZipcode": "75219",
  "isUndisclosedAddress": false,
  "streetViewURL": null,
  "streetViewMetadataURL": null,
  "shouldShowRequestOnPrice": false,
  "beds": 3,
  "baths": 3,
  "area": 2622,
  "latLong": {
    "latitude": 32.822216,
    "longitude": -96.811325
  },
  "isZillowOwned": false,
  "flexFieldText": null,
  "contentType": "ForSale",
  "hdpData": {},
  "isSaved": false,
  "isUserClaimingOwner": false,
  "isUserConfirmedClaim": false,
  "pgapt": "ForSale",
  "sgapt": "For Sale",
  "zestimate": 994000,
  "shouldShowZestimateAsPrice": false,
  "has3DModel": false,
  "hasVideo": false,
  "isHomeRec": false,
  "hasAdditionalAttributions": false,
  "isFeaturedListing": false,
  "isShowcaseListing": false,
  "list": true,
  "relaxed": false,
  "carouselPhotosComposable": {
    "baseUrl": "https://photos.zillowstatic.com/fp/{photoKey}-p_e.jpg",
    "communityBaseUrl": null,
    "photoData": [
      { "photoKey": "abc123" }
    ],
    "communityPhotoData": null,
    "isStaticUrls": false
  },
  "isPaidBuilderNewConstruction": false,
  "foundOnSearchPage": 1,
  "foundFromSearchUrl": "https://www.zillow.com/dallas-tx/?category=SEMANTIC&searchQueryState=...",
  "zoomQuadrantSequence": []
}

Notes:

• Fields like zestimate, imgSrc, and hdpData may be absent for certain entries; the actor sets sensible defaults (e.g., 0 or empty structures) when Zillow does not provide them.
• The actor pushes each listing to the dataset in real time during pagination.

FAQ

Which extraction method should I choose?

Use PAGINATION_WITH_DYNAMIC_ZOOM_INCREASE for large result sets because it splits map bounds to bypass normal caps (~820 items). If internal endpoints are unavailable, switch to PAGINATION_WITHOUT_ZOOMING_IN (HTML parsing). Choose MAP_MARKERS for smaller, faster snapshots (capped to roughly 500 results per URL).

Can I scrape multiple locations or ZIP codes at once?

Yes. Add multiple entries to searchUrls — full Zillow search URLs or keywords like “dallas-tx” — and the actor will process each in bulk. It’s designed to scrape Zillow by city or zip efficiently.

Do I need to use proxies?

Not initially. The actor starts without a proxy and automatically switches to residential proxies with retry logic if requests are blocked. You can also supply proxyConfiguration to control behavior.

How many results can I extract per run?

Set maxItems from 1 to 10,000 per search URL. Dynamic zoom mode helps surpass the typical ~820-result cap for large areas, while MAP_MARKERS is limited to roughly 500 per URL.

Is this a Zillow API?

It’s a Zillow API alternative for data built on public endpoints and HTML parsing. You run it on Apify, get structured outputs, and export as JSON or CSV without needing a proprietary API.

Do I need a browser plugin or Chrome extension?

No. This is a server-side Zillow scraping automation — you don’t need a Zillow scraper Chrome extension. Everything runs on Apify infrastructure.

What data types are included in the output?

You’ll get identifiers (zpid, id), pricing (price, unformattedPrice), address components (street, city, state, ZIP), beds/baths/area, status and links, images, coordinates, zestimate, and additional metadata like carouselPhotosComposable and hdpData where available.

How do I export results?

Open the run’s Dataset in Apify and export to JSON, CSV, or Excel. This makes Zillow data export CSV workflows simple for downstream BI, CRM, or research tools.

Closing CTA / Final thoughts

Zillow Search Scraper is built for structured, scalable extraction of Zillow search results. It delivers clean listing data, robust modes for both large and small result sets, and live dataset saving for reliability.

Whether you’re a researcher, analyst, marketer, or developer, use it to power Zillow data exports, automate pipelines, and accelerate market insights. Trigger it via the Apify platform or API as a dependable Zillow API alternative for data — and start extracting smarter real estate insights today.