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Zillow Rentals Scraper

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Pay per usage

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Zillow Rentals Scraper

Zillow Rentals Scraper

Extract rental listings from Zillow with prices, addresses, photos, bedrooms, bathrooms, and 38 property details. Search any US location for apartments, houses, and condos for rent.

Pricing

Pay per usage

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1.1

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ParseForge

ParseForge

Maintained by Community

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1

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30

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13

Monthly active users

0.53 hours

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7 days ago

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🏠 Zillow Rentals Scraper

🚀 Pull US rental listings from Zillow in minutes. Prices, addresses, beds, baths, photo galleries, broker info, Zestimates. No API key, no manual CSV wrangling.

🕒 Last updated: 2026-05-08 · 📊 35+ fields per listing · 📍 Any US location · 🚫 No auth required

Pull live US rental property listings from Zillow.com. The actor accepts any Zillow rental search URL (you build it on zillow.com with the filters you want), walks the result pages, and returns one structured row per property ready for analysis, dashboards, CRM imports, or investment workflows.

Every run fetches data live, so you get the current state of Zillow at run time, not a stale dump. Multi-unit apartment buildings are broken down into individual units with per-unit pricing. Records include image galleries, geo coordinates, listing status, days on Zillow, and Zestimate values where Zillow exposes them.

👥 Built for🎯 Primary use cases
Real estate investorsTrack rental yields and price changes by city
Property managersMonitor competitor rents in your market
Lead-gen and CRM teamsSource broker contact info for outreach
Data and BI teamsPower dashboards with always-fresh rental inventory
ResearchersStudy housing trends and affordability metrics
Relocation servicesBuild matched-listing lists for clients

📋 What the Zillow Rentals Scraper does

  • 📍 Any US location. Pass any Zillow rental search URL: a city, neighborhood, ZIP, or saved filter.
  • 🏠 Full property details. Address, price, bedrooms, bathrooms, sqft, property type, and listing status.
  • 📸 Image galleries. Primary photo plus the full gallery URL list.
  • 💰 Market signals. Zestimate, rent Zestimate, days on Zillow, deposit ranges, and lease terms.
  • 🏢 Multi-unit buildings. Buildings broken down into individual units with per-unit pricing.
  • 📍 Geocoded. Latitude and longitude on every record for mapping and proximity queries.

The scraper accepts the URL of any Zillow rentals search page. Set it once in zillow.com with all the filters you want (price range, beds, pets, etc.) and the actor inherits them. It paginates the result set, fetches detail pages in parallel, and returns clean records.

💡 Why it matters: Zillow has the largest US rental inventory but its UI is paginated, JS-rendered, and rate-limited. A live, structured pull beats manual scraping for investment research, market intelligence, and CRM lead generation.


🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations.


⚙️ Input

FieldTypeNameDescription
listingUrlstringZillow Rental Search URLRequired. Any Zillow rentals URL (city, neighborhood, ZIP, or saved filter). Filters in the URL are inherited automatically.
maxItemsintegerMax ItemsFree users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
proxyConfigobjectProxy ConfigurationProxy settings. Defaults to Apify residential proxy (US country) which is required for reliable Zillow access.

Example 1. Los Angeles rentals, 50 items.

{
"listingUrl": "https://www.zillow.com/los-angeles-ca/rentals/",
"maxItems": 50
}

Example 2. Pet-friendly Miami apartments under $3,000.

{
"listingUrl": "https://www.zillow.com/miami-fl/rentals/?searchQueryState=%7B%22filterState%22%3A%7B%22price%22%3A%7B%22max%22%3A3000%7D%2C%22pets%22%3A%7B%22value%22%3Atrue%7D%7D%7D",
"maxItems": 100
}

⚠️ Good to Know: Zillow requires residential proxies. The default proxyConfig uses Apify's US residential pool which works out of the box.


📊 Output

The dataset returns one structured record per rental property. Each record carries identifiers, address, price, beds, baths, sqft, property type, listing status, geocoordinates, image gallery, broker contact, Zestimates, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

FieldTypeExample
🖼️ imageUrlstring (url)https://photos.zillowstatic.com/.../jpg
🆔 zpidstring12345678
🏠 addressstring1234 W Sunset Blvd, APT 5
🏙️ citystringLos Angeles
📍 statestringCA
🏷️ zipCodestring90026
💰 pricenumber or null2750
💱 currencystringUSD
🛏️ bedroomsnumber2
🛁 bathroomsnumber1
📐 livingAreanumber or null850
🏠 propertyTypestringApartment
📊 homeStatusstringFOR_RENT
📅 daysOnZillownumber7
📍 latitudenumber34.0816
📍 longitudenumber-118.2766
🖼️ imageUrlsarray["...1.jpg", "...2.jpg"]
📈 rentZestimatenumber or null2800
📈 zestimatenumber or nullnull
📝 descriptionstringSunny 2-bed in Echo Park, recently renovated...
👤 brokerNamestringABC Realty
🗓️ yearBuiltnumber or null1972
🅿️ parkingstringGarage
🐾 petPolicystringCats and small dogs allowed
🧺 laundrystringIn-unit
🏢 buildingNamestringSunset Towers
🚪 unitNumberstring5
📅 availableFromstring2026-06-01
💵 depositMinnumber or null2750
💵 depositMaxnumber or null5500
📃 leaseTermsstring12 months
🔗 urlstring (url)https://www.zillow.com/homedetails/...

📦 Sample records

1. Typical record (LA single-unit apartment)

{
"imageUrl": "https://photos.zillowstatic.com/fp/abc.jpg",
"zpid": "12345678",
"address": "1234 W Sunset Blvd APT 5",
"city": "Los Angeles",
"state": "CA",
"zipCode": "90026",
"price": 2750,
"currency": "USD",
"bedrooms": 2,
"bathrooms": 1,
"livingArea": 850,
"propertyType": "Apartment",
"homeStatus": "FOR_RENT",
"daysOnZillow": 7,
"latitude": 34.0816,
"longitude": -118.2766,
"imageUrls": ["...1.jpg", "...2.jpg"],
"rentZestimate": 2800,
"description": "Sunny 2-bed in Echo Park, recently renovated kitchen, in-unit laundry.",
"brokerName": "ABC Realty",
"yearBuilt": 1972,
"parking": "Garage",
"petPolicy": "Cats and small dogs allowed",
"laundry": "In-unit",
"buildingName": "",
"unitNumber": "5",
"availableFrom": "2026-06-01",
"depositMin": 2750,
"depositMax": 2750,
"leaseTerms": "12 months",
"url": "https://www.zillow.com/homedetails/1234-W-Sunset-Blvd-Apt-5/12345678_zpid/"
}

2. Multi-unit building unit (Miami)

{
"zpid": "98765432",
"address": "555 NE 2nd Ave, Unit 1204",
"city": "Miami",
"state": "FL",
"zipCode": "33132",
"price": 2950,
"currency": "USD",
"bedrooms": 1,
"bathrooms": 1,
"livingArea": 720,
"propertyType": "Apartment",
"homeStatus": "FOR_RENT",
"daysOnZillow": 14,
"latitude": 25.7842,
"longitude": -80.1893,
"rentZestimate": null,
"buildingName": "Brickell Heights",
"unitNumber": "1204",
"petPolicy": "Pet friendly",
"url": "https://www.zillow.com/b/brickell-heights-miami-fl-9XYZAB/"
}

3. Sparse record (single-family home, minimal listing detail)

{
"zpid": "11223344",
"address": "42 Maple St",
"city": "Austin",
"state": "TX",
"zipCode": "78704",
"price": 3500,
"currency": "USD",
"bedrooms": 3,
"bathrooms": 2,
"livingArea": null,
"propertyType": "Single Family",
"homeStatus": "FOR_RENT",
"daysOnZillow": 2,
"latitude": 30.2589,
"longitude": -97.7563,
"rentZestimate": null,
"zestimate": null,
"imageUrls": [],
"petPolicy": "",
"url": "https://www.zillow.com/homedetails/42-Maple-St-Austin-TX-78704/11223344_zpid/"
}

✨ Why choose this Actor

Capability
🎯Built for the job. Scoped specifically to Zillow rentals so you skip the parser engineering entirely.
🔖Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
Fast. Parallel detail-page fetching returns results in seconds, not minutes.
🔁Always fresh. Every run pulls live data, so the dataset reflects Zillow as of run time.
🌐No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured rental data without the engineering overhead of building and maintaining your own scraper.


📈 How it compares to alternatives

ApproachCostCoverageRefreshFiltersSetup
⭐ Zillow Rentals Scraper (this Actor)$5 free credit, then pay-per-useFull Zillow rental inventoryLive per runSource-native filters via URL⚡ 2 min
Build your own scraperEngineering hoursFull once builtWhenever you maintain itCustom code🐢 Days to weeks
Paid live APIs$$$ monthlyVendor-definedLiveVendor-defined⏳ Hours
Legacy MLS dumpsVariesSubset, often stalePeriodicNone🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.


🚀 How to use

  1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. 🌐 Open the Actor. Go to the Zillow Rentals Scraper page on the Apify Store.
  3. 🎯 Paste a Zillow URL. Search rentals on zillow.com with your filters and copy the URL into listingUrl.
  4. 🚀 Run it. Click Start and let the Actor collect your data.
  5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.


💼 Business use cases

📊 Investment and analytics

  • Build rental yield models from price + Zestimate data
  • Track market rent shifts week over week
  • Feed BI tools and custom dashboards
  • Run city-vs-city comparisons across snapshots

🏢 Property management

  • Monitor competitor unit pricing in your market
  • Build comp sets for rent-setting decisions
  • Track days-on-market and absorption rates
  • Surface oversupplied and undersupplied micro-markets

🎯 Sales and lead-gen

  • Source broker contacts for B2B outreach
  • Build prospect lists by neighborhood
  • Identify owners self-listing
  • Power referral flows for relocation services

🛠️ Engineering and product

  • Prototype rental-aggregator products without owning a crawler
  • Replace fragile in-house Zillow scrapers
  • Wire datasets into your apps via the Apify API or webhooks
  • Skip the proxy, retry, and parsing maintenance entirely

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia

  • Empirical datasets for papers, thesis work, and coursework
  • Longitudinal studies tracking changes across snapshots
  • Reproducible research with cited, versioned data pulls
  • Classroom exercises on data analysis and ethical scraping

🎨 Personal and creative

  • Side projects, portfolio demos, and indie app launches
  • Data visualizations, dashboards, and infographics
  • Content research for bloggers, YouTubers, and podcasters
  • Hobbyist collections and personal trackers

🤝 Non-profit and civic

  • Transparency reporting and accountability projects
  • Advocacy campaigns backed by public-interest data
  • Community-run databases for local issues
  • Investigative journalism on public records

🧪 Experimentation

  • Prototype AI and machine-learning pipelines with real data
  • Validate product-market hypotheses before engineering spend
  • Train small domain-specific models on niche corpora
  • Test dashboard concepts with live input

🔌 Automating Zillow Rentals Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

Schedules. Use Apify Scheduler to run hourly, daily, or weekly snapshots. Combine with the Apify dataset diff tools to track new, updated, or removed rental listings between runs.


💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test Zillow Rentals Scraper and pull a real sample dataset. For ongoing usage:

  • Starter plan ($49/month) — Recommended for individuals running Zillow Rentals Scraper regularly. Includes higher concurrency and larger datasets.
  • Scale plan ($499/month) — Recommended for teams running Zillow Rentals Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using Zillow Rentals Scraper

  • Start with a small maxItems (3-10) to validate output format before running larger jobs.
  • Use Apify Schedules to run Zillow Rentals Scraper on a recurring basis and keep your dataset fresh.
  • Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
  • Monitor with webhooks: trigger downstream workflows the moment a run finishes.
  • Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

Yes. Zillow Rentals Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

  • Respecting the source website's Terms of Service.
  • Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
  • Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

Zillow Rentals Scraper connects to any cloud service via Apify integrations:

  • Make - Automate multi-step workflows
  • Zapier - Connect with 5,000+ apps
  • Slack - Get run notifications in your channels
  • Airbyte - Pipe results into your warehouse
  • GitHub - Trigger runs from commits and releases
  • Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend or alert your team in Slack.


💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.


🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.


⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Zillow.com or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.