Zillow Property & Agent Data Scraper

Extract detailed property listings and agent contact information from Zillow with flexible search options and cost‑effective pricing.

Note: Not affiliated with Zillow. Please follow all applicable Terms of Service and local laws when collecting or processing data.

🌟 Key Features

• Two Operation Modes:

  • 🗺️ ZIP Code Search – Find properties in specific areas.
  • 🎯 Direct ZPID Processing – Process known property IDs (fast & predictable).

• Rich Data Extraction (40+ fields):

  • Full address and URL
  • Agent & co‑agent contacts (email, phone), license, brokerage
  • Pricing, Zestimate / Rent Zestimate, HOA fees, taxes
  • Specs & features (beds, baths, sqft, lot, year built, pool/garage, etc.)
  • Price history & tax history
  • Days on market & open house info
  • Descriptions and amenities

• Advanced Filtering:

  • Property type (single family, condo, townhouse, multi‑family, lots/land, manufactured, apartment)
  • Price range, bedrooms, bathrooms
  • Square footage, lot size, year built
  • Days on Zillow / Sold in last (via doz)
  • Features (pool, new construction, garage, views, etc.)
  • FSBO / By Agent toggles (isForSaleByOwner, isForSaleByAgent)

• 🔐 Smart & Resilient:

  • Maximized results – optimized search & paging (up to 20 pages)
  • Automatic retries – gracefully handles 429s and transient errors
  • Budget control – hard stop at maxBudgetUsd (set 0 for unlimited)

📩 Advanced Email Search (≈98% success)

Agent emails are discovered via a robust 3‑step process:

1. Direct Lookup from the property details payload.
2. Profile Lookup using the agent’s username.
3. Name Search Fallback – resolve the correct profile by full name, then fetch.

For transparency, the output includes agentEmailSource with one of:

• property_details
• agent_profile_direct
• agent_search_fallback
• not_found

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💰 Pricing

Pay‑Per‑Event with optional volume discounts — you pay only for successfully enriched properties.

📊 Pricing Tiers

Subscription	Price per Property	Discount	Best For
No subscription	$0.08	—	Testing & small projects
Bronze 🥉	$0.07	−12.5%	Small businesses (500–2k / month)
Silver 🥈	$0.06	−25%	Growing teams (2k–10k / month)
Gold 🏆	$0.05	−37.5%	Enterprise (10k+ / month)

💡 Volume Savings Calculator

Properties / Month	No Discount	Bronze 🥉	Silver 🥈	Gold 🏆
500	$40	$35 (save $60/yr)	$30	$25
1,000	$80	$70 (save $120/yr)	$60	$50
2,000	$160	$140	$120 (save $480/yr)	$100
5,000	$400	$350	$300 (save $1,200/yr)	$250
10,000	$800	$700	$600	$500 (save $3,600/yr)

Simple & Transparent

• ✅ No search fees – ZIP searches are free
• ✅ Pay only for results – failed enrichments are free
• ✅ Volume discounts – save up to 37.5%
• ✅ No hidden costs

Cost Examples

• Small Agent (Bronze): 100 ZPIDs → 100 × $0.07 = $7.00 (vs $8.00)
• Lead Gen (Silver): 5 ZIPs → ~300 properties → $18.00 (vs $24.00)
• Enterprise (Gold): 10,000 properties → $500 (vs $800)
• Strict Filters (any tier): 5 ZIPs → 20 matches → $1.00–1.60 total

Default Budget Limits

• Free users: $5.00 per run (~62–100 properties)
• Paying users: $500.00 per run (~6,250–10,000 properties)
• Custom: Set any limit via maxBudgetUsd (use 0 for unlimited)

🎯 Which Tier Fits?

• No subscription: trials, <500 / month, one‑offs
• Bronze: solo agents / small teams (500–2,000 / month)
• Silver: lead gen companies (2,000–10,000 / month)
• Gold: high‑volume data teams (10,000+ / month)

💡 Cost Optimization Tips

• Both modes cost the same per result (search is free in ZIP mode)
• Tighten filters (price + beds often cuts 80% of noise)
• Start with $1–2 to validate, then scale
• Estimate: (expected properties) × $0.08 and add ~20% buffer

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🚀 Quick Start

1) (Optional) Choose a Tier

Start at $0.08/property, then upgrade if your monthly volume justifies it.

2) Choose Operation Mode

ZIP Mode – discover properties by area.

{
  "mode": "zip",
  "zipCodes": ["90210", "10001", "33139"],
  "status_type": "ForSale",
  "price_min": 500000,
  "price_max": 2000000,
  "beds_min": 3,
  "isSingleFamily": true,
  "maxBudgetUsd": 25
}

ZPID Mode – enrich known property IDs.

{
  "mode": "zpid",
  "zpids": ["84074592", "2060321152", "123456789"],
  "maxBudgetUsd": 10
}

3) (Optional) Apply Filters

{
  "mode": "zip",
  "zipCodes": ["90210"],
  "status_type": "ForSale",
  "isForSaleByAgent": true,
  "isForSaleByOwner": false,
  "beds_min": 3,
  "beds_max": 5,
  "baths_min": 2,
  "price_min": 800000,
  "price_max": 1500000,
  "hasPool": true,
  "isNewConstruction": false,
  "doz": "30"
}

4) Set Budget Control

{ "mode": "zip", "zipCodes": ["90210", "10001"], "maxBudgetUsd": 15 }

The run auto‑stops at your limit.

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📥 Input Schema (Reference)

Field	Type	Required	Notes
mode	string	✓	zip or zpid.
zipCodes	string[]	—	Required for mode=zip (processed in batches of up to 5 ZIPs).
zpids	string[]	—	Required for mode=zpid.
status_type	string	—	ForSale, ForRent, RecentlySold.
sort	string	—	Homes_for_You, Price_High_Low, Price_Low_High, Newest.
doz	string/number	—	Days on Zillow or Sold in Last (e.g., 7, 30, 90, 6m, 12m, or any).
price_min / price_max	number	—	For ForSale/RecentlySold.
rentMinPrice / rentMaxPrice	number	—	For ForRent.
beds_min / beds_max	number	—	Bedrooms range.
baths_min / baths_max	number	—	Bathrooms range.
sqft_min / sqft_max	number	—	Living area range.
built_min / built_max	number	—	Year built range.
lotSize_min / lotSize_max	string	—	Predefined lot sizes.
hoa_max	number	—	Max HOA ($/mo).
parkingSpots_min	number	—	Min parking spots.
keywords	string	—	Comma‑separated keywords.
isForSaleByOwner / isForSaleByAgent	boolean	—	FSBO / By Agent toggles.
isSingleFamily, isCondo, isTownhouse, isMultiFamily, isLotLand, isManufactured, isApartment	boolean	—	Home type flags.
hasPool, hasGarage, isNewConstruction, isAuction, isWaterfront, is3dHome, isPendingUnderContract, isWaterView, isCityView, isMountainView, inUnitLaundry, parkingAvailable, furnished, largeDogsAllowed, catsAllowed	boolean	—	Feature flags (some rental‑only).
maxPropertiesPerZip	number	—	Limit processed properties per search (0 = unlimited).
maxBudgetUsd	number	—	Hard cap for the run (use 0 for unlimited).

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📊 Output Format

Each result is a flat JSON with 40+ fields. Example:

{
  "zpid": "15602976",
  "hdpUrl": "https://www.zillow.com/homedetails/35-Bear-Paw-Portola-Valley-CA-94028/15602976_zpid/",
  "status": "FOR_SALE",
  "price": 3595000,
  "propertyDescription": "Located in one of Silicon Valleys most desirable residential enclaves...",
  "streetAddress": "35 Bear Paw",
  "city": "Portola Valley",
  "state": "CA",
  "zipcode": "94028",
  "county": "San Mateo County",
  "neighborhood": null,
  "agentName": "Colleen Foraker",
  "agentEmail": "colleen@colleenforaker.com",
  "agentEmailSource": "agent_search_fallback",
  "cellPhone": "650-380-0085",
  "coAgentName": "Carolyn Keddington",
  "coAgentNumber": "650-946-8122",
  "agentLicenseNumber": "01349099",
  "brokerName": "Compass",
  "brokerPhoneNumber": "650-462-1111",
  "zestimate": 3529000,
  "rentZestimate": 7490,
  "pricePerSqft": 1375,
  "hoaFee": "$590 monthly",
  "propertyTax": 25131,
  "bedrooms": 3,
  "bathrooms": 3,
  "bathroomsFull": 2,
  "bathroomsHalf": 1,
  "livingArea": 2615,
  "lotSize": "0.52 Acres",
  "yearBuilt": 1978,
  "stories": null,
  "architecturalStyle": "Contemporary",
  "parcelNumber": "080431100",
  "view": "Hills",
  "heating": "Forced Air",
  "cooling": "Central Air",
  "appliances": "Electric Cooktop, Dishwasher, Disposal, Range Hood, Microwave, Refrigerator, Washer/Dryer",
  "daysOnZillow": "1 day",
  "openHouseSchedule": "2025-10-12 13:30:00 to 2025-10-18 16:30:00",
  "lastSoldDate": "2002-09-30",
  "lastSoldPrice": 1500000,
  "lastTaxPaid": 25130.72,
  "lastTaxAssessedValue": 2129892
}

Notable groups: identification, location, listing & price, structure & features, financials, agents & brokerage (with agentEmailSource).

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🎯 Use Cases

• Real‑estate lead gen & agent outreach
• Market research & competitive intel
• Investment screens & buy‑box matching

📞 Support

• Review Run Logs for error context
• Use Apify Console support with your run URL

📜 License & Compliance

Provided “as is.” Use is subject to third‑party terms. Ensure compliance with website ToS and local regulations.