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Zumper Rental Scraper — Apartments for Rent

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from $12.00 / 1,000 results

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Zumper Rental Scraper — Apartments for Rent

Zumper Rental Scraper — Apartments for Rent

Scrape rental listings from Zumper.com with ratings, verification status, and Airbnb-friendly filters. Extract prices, beds/baths, amenities, photos, and landlord ratings. Filter by location, price, and property type. Includes lead scoring. Perfect for rental research and property investors.

Pricing

from $12.00 / 1,000 results

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Ben

Ben

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1

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40

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15

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3 hours ago

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Run change-only rent alerts on Zumper apartments by city. Track new listings, price changes, bed/bath ranges, amenities, photos, and listing URLs without sending the same inventory every morning.

Try it: Find apartments for rent in Austin · n8n: import Zumper rental alerts (zumper-rental-alerts.json)

If the listings and filters worked for a rent monitor, a short honest review on the Actor page helps others comparing rental data tools.

🏢 What is the Zumper Rental Scraper?

It turns any Zumper rental search into a structured dataset. Pass a location (and optional filters for property type, price, bedrooms or Airbnb-friendly), and it returns every matching listing with full address, geo-coordinates, rent range, ratings, amenities, contact details and a 0–100 lead score that ranks the strongest listings first — so property managers, investors and relocation services can work the best inventory without clicking through pages by hand.

What data does it extract?

  • Rent range (price_min / price_max) and beds/baths range (beds_min/beds_max, baths_min/baths_max)
  • Landlord/property rating (Zumper's 0–10 score)
  • Full address plus split street, city, state, zipcode and neighborhood
  • Latitude & longitude for mapping
  • Amenities list and pets allowed (Dogs/Cats)
  • Contact phone, agent name, brokerage name and feed name (data source)
  • Date available and a has_fees flag
  • Photo IDs and photo count (optional)
  • Lead score (0–100), plus listing_id, url, property_type, source and a scraped_at timestamp
  • Optional change metadata: change_type, prior rent, first-seen time, detection time, and monitor_id

Who it’s for

Relocation / investor workflows monitoring city rent inventory with lead score + digests.

Sample output

{
"listing_id": "123456",
"price_min": 1800,
"price_max": 2100,
"beds_min": 1,
"baths_min": 1,
"address": "123 Example St, Austin, TX",
"neighborhood": "East Austin",
"rating": 8.2,
"lead_score": 78,
"url": "https://www.zumper.com/...",
"scraped_at": "2026-08-12T10:00:00Z"
}

One-run proof

Example: https://apify.com/benthepythondev/zumper-rental-scraper/examples/find-apartments-for-rent-in-austin n8n: zumper-rental-alerts.json on the gist.

Pricing note

Base price is per listing result. Optional enrichment: contact-phone when a phone number is present (scheduled 2026-08-27, Free $0.01).

⬇️ Input

Run it two ways — search a city with filters, or pass exact Zumper listing URLs:

FieldDescription
modesearch (by location + filters) or direct_urls
locationCity and state slug, e.g. san-francisco-ca, new-york-ny, chicago-il
propertyTypeapartments-for-rent, houses-for-rent, condos-for-rent, townhomes-for-rent, rooms-for-rent
minPrice / maxPriceInclude properties with an available unit inside the monthly rent range
minBeds / maxBedsAccepted bedroom counts (0 includes studios)
airbnbFriendlyUse Zumper's Airbnb-friendly feature filter
listingUrlsDirect Zumper URLs (for direct_urls mode)
maxListingsCap the run (1–1000)
includePhotosInclude photo IDs and photo count
useApifyProxyRoute requests via Apify US residential proxy (recommended for cloud runs)
onlyChangesPersist this saved search and emit only new or changed listings
monitorIdOptional stable ID; use a different one for each market or filter set
firstRunModeemitAll or seedOnly to store the first baseline without output
resetStateClear only the selected monitor before this run

Example input

{
"mode": "search",
"location": "san-francisco-ca",
"propertyType": "apartments-for-rent",
"minPrice": 2000,
"maxPrice": 5000,
"minBeds": 1,
"maxBeds": 3,
"maxListings": 25,
"includePhotos": false,
"useApifyProxy": true,
"onlyChanges": true,
"monitorId": "sf-rentals-2000-5000",
"firstRunMode": "seedOnly"
}

⬆️ Output

Every listing is one clean record (view as a table, or export JSON / CSV / Excel):

{
"source": "zumper.com",
"scraped_at": "2026-06-26T12:00:00.000000+00:00",
"listing_id": "p5456",
"url": "https://www.zumper.com/apartment-buildings/p5456/parkmerced-san-francisco-ca",
"name": "Parkmerced",
"address": "3711 19th Avenue, San Francisco, CA 94132",
"street": "3711 19th Avenue",
"city": "San Francisco",
"state": "CA",
"zipcode": "94132",
"neighborhood": "Lakeshore",
"latitude": 37.7249,
"longitude": -122.4794,
"price_min": 2145,
"price_max": 5227,
"beds_min": 0,
"beds_max": 4,
"baths_min": 1,
"baths_max": 3,
"rating": 9.6,
"property_type": "Apartment",
"amenities": ["In-unit laundry", "Fitness center", "Swimming pool"],
"pets_allowed": ["Dogs", "Cats"],
"phone": "(415) 555-0123",
"agent_name": null,
"brokerage_name": null,
"feed_name": "Parkmerced Leasing",
"date_available": "2026-07-01",
"has_fees": false,
"image_ids": ["abc123", "def456"],
"image_count": 24,
"lead_score": 85
}

With onlyChanges=true, emitted records also include change_type (new, price_changed, or details_changed), monitor_id, first_seen_at, detected_at, previous_price_min, previous_price_max, price_change_amount, and price_change_percent. State stays in the caller's Apify account under the named zumper-rental-monitor-state key-value store.

A listing missing from a capped result window isn't reported as removed. That would overstate what the source proved.

💡 Use cases

  • 🏠 Airbnb arbitrage: filter for Airbnb-friendly rentals that allow subletting and source units for short-term rental businesses.
  • 🏢 Property managers — competitor pricing: benchmark rent ranges, amenities and ratings against comparable buildings in your market.
  • 💰 Real estate investors: analyze rental yields using rent ranges plus Zumper's landlord rating data.
  • 🧳 Relocation services & aggregators: build databases of highly rated rentals with contact info and exact coordinates.

⚙️ Daily rental-alert workflow

Use the n8n Zumper alert template to monitor a saved search automatically:

  1. Import the JSON into n8n and assign an HTTP Header Auth credential containing Authorization: Bearer <YOUR_APIFY_TOKEN>.
  2. Change the location, rent ceiling, bedroom range, maxListings, and monitorId in the Actor node.
  3. Configure the email recipient, then run it once with firstRunMode=seedOnly. The Actor stores the current listings without emailing the backlog.
  4. Activate the daily schedule. Later runs emit only new, price-changed, or detail-changed listings, and the workflow sends no email when nothing changed.

The default workflow monitors Austin apartments up to $3,000, keeps changes with a lead score of at least 60, and emails the current rent, previous rent when available, address, score, and listing URL. Use separate monitor IDs for separate searches.

❓ FAQ

How do I scrape Zumper rental listings? Pick a location slug (like san-francisco-ca) and optional filters for property type, price, beds or Airbnb-friendly, then run. You get structured listings with rent, beds/baths, ratings, amenities, contact phone and a lead score.

What is the location format? Use the city-and-state slug from the Zumper URL, lowercase and hyphenated — e.g. new-york-ny, los-angeles-ca, chicago-il, austin-tx.

Does it cover houses and rooms, not just apartments? Yes — set propertyType to apartments, houses, condos, townhomes or rooms for rent.

What's special about Zumper's data? Zumper exposes landlord/property rating (0–10), Airbnb-friendly tags, and a contact phone per listing — data you won't find on many other rental sites — alongside exact coordinates and amenities.

How does the lead score work? A transparent 0–100 score combining the listing's rating, whether it's verified (has a data feed), feature signals, amenity count and price point. Higher scores surface the most complete, highest-quality listings first.

Why does it call an API instead of loading pages? Zumper's public HTML is behind a JavaScript anti-bot "Client Challenge". The JSON search API that powers the site isn't, and returns fully structured data — so the scraper is faster and far more reliable than a browser-based approach.

Should I keep the Apify proxy on? Yes for cloud runs — useApifyProxy routes requests through a US residential IP, which is recommended for consistent access to Zumper.

Do I need an API key or login? No. Just provide a location and filters — no Zumper account required.

How many listings can it return? Up to your maxListings cap (1–1000); it paginates the search automatically until the cap or the end of results.

Can I run it on a schedule or via API? Yes — schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n.

Where does change-monitor state live? In a named key-value store inside the caller's Apify account. State is kept for 90 days and capped at 5,000 listings per monitor. resetState clears only the selected monitorId.

Will it report removed listings? No. A listing can disappear from a capped search window without leaving Zumper, so the Actor reports only new, price-changed, and detail-changed rows.

Is scraping Zumper legal? It extracts publicly available rental listing data. Use it responsibly for market research, arbitrage research and lead generation, and follow applicable laws and Zumper's terms.

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