Zillow FSBO & Coming Soon Listings Scraper

Scrape Zillow For Sale By Owner (FSBO) and Coming Soon listings for any US location. Purpose-built for real estate investors, wholesalers, and agents who target motivated FSBO sellers and pre-market deals.

FSBO sellers have no agent representation — they are the most accessible sellers on the market. Coming Soon listings give you early access to properties before they hit the MLS. This scraper gives you both in a single run.

Why FSBO & Coming Soon?

• FSBO sellers save 5-6% on agent commissions — they are motivated, price-flexible, and open to direct offers
• Coming Soon listings appear before the property is officially on market — giving investors a 1-2 week head start
• Wholesalers use FSBO data to find motivated sellers for assignment contracts
• Agents prospect FSBO sellers to offer listing services (biggest lead source in real estate)
• Investors find below-market deals from unrepresented sellers

Features

• FSBO + Coming Soon filters — scrape one or both listing types in a single run
• Seller contact extraction — name, phone, email when available
• Investment analysis fields — Zestimate gap, price per sqft, tax assessed value, price and tax history
• 4-tier extraction strategy — __NEXT_DATA__ JSON, Apollo GraphQL cache, Zillow API search, CSS selectors
• Anti-bot handling — CAPTCHA detection, rate limiting, 10+ rotating user agents, residential proxy support
• Automatic pagination — follows Zillow's paginated results across all available pages
• Deduplication — skips duplicate listings by ZPID and normalized address
• Detail page scraping — automatically visits each listing for full description, photos, tax history, and price history

Output Fields

Each scraped listing includes:

Field	Type	Description
zpid	string	Zillow Property ID
address	string	Full address
streetAddress	string	Street address only
city	string	City name
state	string	State code
zipcode	string	ZIP code
price	number	Listing price
priceFormatted	string	Formatted price (e.g., "$325,000")
zestimate	number	Zillow's estimated market value
zestimateFormatted	string	Formatted Zestimate
zestimateGap	string	Difference between ask and Zestimate
pricePerSqft	number	Price per square foot
bedrooms	number	Number of bedrooms
bathrooms	number	Number of bathrooms
sqft	number	Living area square footage
lotSize	string	Lot size
yearBuilt	number	Year the property was built
propertyType	string	Single Family, Condo, Townhouse, etc.
listingStatus	string	FSBO, Coming Soon, etc.
sellerType	string	"FSBO" or "Coming Soon"
daysOnZillow	number	Days on Zillow
contactName	string	Seller or agent name
contactPhone	string	Contact phone number
contactEmail	string	Contact email (when available)
description	string	Full listing description
photos	array	High-resolution photo URLs
taxHistory	array	Tax assessment history (year, value, taxPaid)
priceHistory	array	Price change history (date, price, event)
taxAssessedValue	number	Current tax assessed value
monthlyHoaFee	number	Monthly HOA fee
latitude	number	Latitude coordinate
longitude	number	Longitude coordinate
listingUrl	string	Zillow listing page URL
scrapedAt	string	ISO timestamp when scraped

Input Parameters

Parameter	Type	Default	Description
location	string	"los-angeles-ca"	City, zip, or neighborhood (Zillow slug format)
listingType	enum	"both"	"fsbo", "coming_soon", or "both"
minPrice	integer	0	Minimum price filter
maxPrice	integer	0	Maximum price filter
minBeds	integer	0	Minimum bedrooms
minBaths	integer	0	Minimum bathrooms
maxResults	integer	500	Max listings to scrape (0 = unlimited)
proxyConfiguration	object	-	Apify proxy config (residential recommended)

Example Input

{
    "location": "phoenix-az",
    "listingType": "both",
    "minPrice": 100000,
    "maxPrice": 500000,
    "minBeds": 3,
    "minBaths": 2,
    "maxResults": 200,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Example Output

{
    "zpid": "87654321",
    "address": "4521 E Cactus Rd, Phoenix, AZ 85032",
    "streetAddress": "4521 E Cactus Rd",
    "city": "Phoenix",
    "state": "AZ",
    "zipcode": "85032",
    "price": 349000,
    "priceFormatted": "$349,000",
    "zestimate": 375000,
    "zestimateFormatted": "$375,000",
    "zestimateGap": "+$26,000 (7.4% above ask)",
    "pricePerSqft": 195,
    "bedrooms": 4,
    "bathrooms": 2,
    "sqft": 1790,
    "lotSize": "7,200 sqft",
    "yearBuilt": 1985,
    "propertyType": "Single Family",
    "listingStatus": "For Sale by Owner",
    "sellerType": "FSBO",
    "daysOnZillow": 14,
    "contactName": "John Smith",
    "contactPhone": "(602) 555-1234",
    "contactEmail": null,
    "description": "Charming 4-bedroom home in the heart of Phoenix. Updated kitchen with granite countertops, new AC unit (2024), large backyard with pool. No agent commission — priced to sell!",
    "photos": [
        "https://photos.zillowstatic.com/fp/photo1.jpg",
        "https://photos.zillowstatic.com/fp/photo2.jpg",
        "https://photos.zillowstatic.com/fp/photo3.jpg"
    ],
    "taxHistory": [
        { "year": 2025, "taxPaid": 2890, "value": 310000 },
        { "year": 2024, "taxPaid": 2750, "value": 295000 },
        { "year": 2023, "taxPaid": 2540, "value": 275000 }
    ],
    "priceHistory": [
        { "date": "2026-02-15", "price": 349000, "event": "Listed (FSBO)" },
        { "date": "2018-06-10", "price": 225000, "event": "Sold" }
    ],
    "taxAssessedValue": 310000,
    "monthlyHoaFee": null,
    "latitude": 33.5722,
    "longitude": -111.9771,
    "listingUrl": "https://www.zillow.com/homedetails/4521-E-Cactus-Rd/87654321_zpid/",
    "scrapedAt": "2026-03-02T10:00:00.000Z",
    "source": "zillow-fsbo",
    "searchLocation": "phoenix-az"
}

Use Cases

Real Estate Investors

• Find below-market FSBO deals where sellers price 5-15% below market
• Compare ask price vs Zestimate to spot undervalued properties
• Use tax history to identify long-term owners likely to negotiate
• Get Coming Soon listings before competing buyers see them

Wholesalers

• Build FSBO seller contact lists for direct mail and cold calling campaigns
• Filter by days on market to find increasingly motivated sellers
• Target properties with large Zestimate-to-ask gaps for assignment contracts
• Identify distressed or long-listed properties ripe for wholesale offers

Real Estate Agents

• Prospect FSBO sellers to offer listing representation services
• Track Coming Soon inventory for buyer clients
• Analyze FSBO pricing patterns in your market
• Build market reports showing FSBO vs agent-listed price differences

Market Researchers

• Track FSBO inventory levels across markets over time
• Compare FSBO pricing vs MLS-listed properties
• Analyze days-on-market for FSBO vs agent-listed homes
• Monitor Coming Soon listing trends as a leading market indicator

Location Format

Use Zillow's URL-friendly slug format for locations:

Type	Format	Example
City + State	city-state	los-angeles-ca, phoenix-az
Multi-word city	city-name-state	san-francisco-ca, new-york-ny
ZIP code	zipcode	90210, 85032
Neighborhood	neighborhood-city-state	scottsdale-az
County	county-state	maricopa-county-az

Tip: search on zillow.com and copy the location slug from the URL.

Proxy Configuration

Zillow aggressively blocks datacenter IP addresses. Residential proxies are strongly recommended for reliable scraping.

{
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Without proxies, expect high block rates and incomplete results.

How It Works

1. URL Construction — Builds Zillow search URLs with FSBO and/or Coming Soon filters using the searchQueryState parameter
2. Search Page Scraping — Uses CheerioCrawler with realistic browser headers and conservative rate limiting
3. 4-Tier Extraction — Tries extraction strategies in priority order:
   • __NEXT_DATA__ JSON (Next.js server-side data — most complete)
   • hdpApolloPreloadedData (Apollo GraphQL cache)
   • Zillow API search endpoint (JSON response)
   • CSS selectors (fallback for when JSON blobs are unavailable)
4. Detail Page Enrichment — Visits each listing's detail page for full description, photos, tax history, price history, and seller contact info
5. Investment Metrics — Calculates Zestimate gap, price per sqft, and flags undervalued properties
6. Deduplication — Skips duplicate listings by ZPID and normalized address
7. Pagination — Automatically follows paginated results across all available pages

Differences from General Zillow Scraper

Feature	This Actor (FSBO)	General Zillow Scraper
Focus	FSBO + Coming Soon only	All for-sale listings
Seller contact	Name, phone, email extraction	Agent/broker only
Investment metrics	Zestimate gap, price/sqft, tax analysis	Basic price only
Tax history	Included	Not included
Price history	Included	Not included
Seller type	FSBO vs Coming Soon classification	Generic status
Detail scraping	Always (for contact + history)	Optional
Target audience	Investors, wholesalers, agents	General real estate

Rate Limits & Anti-Bot

• Max 12 requests per minute (conservative for Zillow)
• Max 2 concurrent requests
• Random delays between requests (200-1000ms)
• 10+ rotating user agents
• Automatic CAPTCHA and block detection
• Graceful degradation (saves partial results on block)

Cost

Pay-per-event pricing: $0.005 per listing scraped.

Example costs:

• 100 listings = $0.50
• 500 listings = $2.50
• 1,000 listings = $5.00

Plus Apify platform compute costs (~$0.25-0.50 per 1000 pages for residential proxies).

Changelog

v1.0.0 (2026-03-02)

• Initial release
• FSBO and Coming Soon listing filters
• Seller contact extraction (name, phone, email)
• Investment analysis fields (Zestimate gap, price/sqft, tax assessed value)
• Tax history and price history extraction
• 4-tier extraction strategy
• Automatic pagination and deduplication
• Detail page enrichment for all listings

Integration — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("sovereigntaylor/zillow-fsbo-scraper").call(run_input={
    "searchTerm": "zillow fsbo",
    "maxResults": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item.get('title', item.get('name', 'N/A'))}")

Integration — JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('sovereigntaylor/zillow-fsbo-scraper').call({
    searchTerm: 'zillow fsbo',
    maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title || item.name || 'N/A'));