Redfin Real Estate Scraper

Scrape Redfin real estate listings for any US location. Extract property prices, beds, baths, square footage, lot size, year built, price history, days on market, HOA fees, agent info, school ratings, and photos.

Features

• Multi-location search — scrape multiple cities or zip codes in a single run
• Full property details — price, beds, baths, sqft, lot size, year built, HOA fees
• Price history — track listing price changes, sales, and events over time
• School data — nearby school names, ratings (GreatSchools), distance, grade levels
• Agent & brokerage info — listing agent name, brokerage, MLS number
• Photos — extract all property photo URLs
• GPS coordinates — latitude/longitude for mapping and analysis
• Redfin Estimate — automated valuation when available
• 4 extraction strategies — HTML cards, stingray API, detail pages, CSV download
• Smart deduplication — no duplicate listings in your dataset
• Flexible filters — property type, price range, beds, baths, listing status

Supported Listing Types

Status	Description
for_sale	Active listings currently on the market
sold	Recently sold properties
pending	Under contract / pending sale

Supported Property Types

Type	Description
house	Single-family homes
condo	Condos and co-ops
townhouse	Townhouses and row homes
land	Vacant land and lots
multi-family	Multi-family properties (duplex, triplex, etc.)
all	All property types

Input Parameters

Parameter	Type	Default	Description
locations	array	["San Francisco, CA"]	List of cities, zip codes, or Redfin URL slugs
propertyType	string	all	Property type filter
minPrice	integer	0	Minimum price (0 = no minimum)
maxPrice	integer	0	Maximum price (0 = no maximum)
minBeds	integer	0	Minimum bedrooms
maxBeds	integer	0	Maximum bedrooms
minBaths	integer	0	Minimum bathrooms
maxBaths	integer	0	Maximum bathrooms
status	string	for_sale	Listing status filter
maxResults	integer	500	Max properties per location (0 = unlimited)
includeSchools	boolean	false	Scrape school data (visits detail pages, slower)
proxy	object	—	Apify proxy configuration

Input Example

{
    "locations": ["San Francisco, CA", "90210", "Austin, TX"],
    "propertyType": "house",
    "minPrice": 500000,
    "maxPrice": 2000000,
    "minBeds": 3,
    "status": "for_sale",
    "maxResults": 100,
    "includeSchools": true,
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Output Schema

Each scraped property contains:

{
    "address": "123 Main St, San Francisco, CA 94102",
    "streetAddress": "123 Main St",
    "city": "San Francisco",
    "state": "CA",
    "zip": "94102",
    "price": 1250000,
    "priceFormatted": "$1,250,000",
    "beds": 3,
    "baths": 2,
    "sqft": 1800,
    "lotSize": "2,500 sqft",
    "yearBuilt": 1925,
    "propertyType": "House",
    "status": "Active",
    "daysOnMarket": 14,
    "hoaFee": 350,
    "agent": "Jane Smith",
    "brokerage": "Redfin Corp",
    "mlsId": "ML81234567",
    "redfinEstimate": 1275000,
    "description": "Beautiful Victorian home with original details...",
    "priceHistory": [
        {
            "date": "2026-02-15",
            "price": 1250000,
            "event": "Listed",
            "source": "MLS"
        },
        {
            "date": "2025-06-10",
            "price": 1100000,
            "event": "Sold",
            "source": "Public Records"
        }
    ],
    "schools": [
        {
            "name": "Lincoln Elementary",
            "rating": 8,
            "distance": "0.3 mi",
            "type": "Elementary",
            "grades": "K-5"
        }
    ],
    "url": "https://www.redfin.com/CA/San-Francisco/123-Main-St-94102/home/12345",
    "images": [
        "https://ssl.cdn-redfin.com/photo/1/bigphoto/123/ML81234567_1.jpg"
    ],
    "latitude": 37.7749,
    "longitude": -122.4194,
    "scrapedAt": "2026-03-01T12:00:00.000Z",
    "source": "redfin"
}

Extraction Strategies

The scraper uses 4 strategies in priority order for maximum data coverage:

1. HTML Search Results — Parses listing cards from Redfin search result pages. Fast and reliable for basic property data (address, price, beds, baths, sqft).

2. Stingray API — Redfin's internal JSON API that powers their map and list views. Returns rich structured data including property details, price history, and agent info. The scraper auto-discovers the region ID and makes API calls.

3. Property Detail Pages — Visits individual property pages for the most complete data: full description, all photos, price history, school ratings, and agent details. Enabled automatically when includeSchools is true.

4. CSV Download Endpoint — Redfin's bulk download endpoint (/stingray/api/gis-csv) returns up to 350 properties in tabular format. Used as a fallback when other strategies return no results.

Location Formats

The scraper accepts multiple location formats:

Format	Example
City, State	San Francisco, CA
Zip Code	90210
Slug	seattle-wa
Redfin Path	city/CA/San-Francisco

Proxy Recommendations

Redfin has moderate anti-bot protection. For best results:

• Small runs (< 50 properties): Datacenter proxies may work
• Medium runs (50-200): Apify residential proxies recommended
• Large runs (200+): Residential proxies required

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

Pricing

This actor uses Pay Per Event pricing:

• $0.008 per property scraped — charged only for successfully extracted properties
• No charge for failed requests or empty pages
• School and detail page enrichment included in the per-property price

Use Cases

• Real estate investing — analyze property values, price trends, and market conditions
• Market research — compare prices across neighborhoods, cities, and property types
• Competitive analysis — track listing agents, brokerages, and market share
• Lead generation — build targeted lists of properties and seller agents
• Price monitoring — track price changes and days on market over time
• School district analysis — evaluate neighborhoods by school ratings
• Portfolio tracking — monitor comparable properties for your holdings

Rate Limits & Best Practices

• The scraper automatically throttles requests to avoid overwhelming Redfin
• Redfin caps search results at ~350 per query — use multiple specific searches for comprehensive coverage
• Use the maxResults parameter to control costs on large runs
• For city-wide scrapes, combine property type and price range filters to stay within Redfin's result limits

Legal Disclaimer

This actor is provided for educational and research purposes. Users are responsible for ensuring their use complies with Redfin's Terms of Service and all applicable laws. Respect robots.txt and rate limits. Do not use scraped data for spamming or harassment.

Integration — Python

from apify_client import ApifyClient

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

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