Redfin Real Estate MLS Scraper: US Homes & Property Data

Introduction & Core Capabilities

The Redfin Real Estate MLS Scraper: US Homes & Property Data provides automated extract mls real estate listings, sale prices, property valuations, beds, baths, square footage, hoa fees, and geocoordinates across us housing markets.. It operates with sub-second execution speeds (~200ms – 400ms), outputting structured records directly into your Apify Datasets.

Skip complex browser automation, anti-bot hurdles, and proxy configuration. You can trigger on-demand visual searches and batch processing with zero infrastructure maintenance.

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Competitor Comparison Table

Feature	Redfin Real Estate MLS Scraper: US Homes & Property Data	Compass Real Estate Scraper	Zillow Property API
Response Latency	~250ms (Global Edge CDN)	2,500ms – 5,000ms	3,000ms – 6,000ms
Unit Cost	$0.005 / query	$0.02 – $0.05 / query	$0.03 – $0.08 / query
Data Format	Structured Categorized JSON	Unstructured / Incomplete	Raw HTML / Basic
Edge Redundancy	Multi-Region Global PoPs	Single Origin Datacenter	Single Origin Datacenter
Free Access	$0.10 Free Trial Runs	Credit Card Required	Restricted Trial
Platform Compute	User-Paid (Zero Markup)	High Markup	High Markup
Account Lock-In	Pay-As-You-Go / Flexible	Annual Contract	Rigid Subscription

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Common Use Cases

• Automated Real Estate Investment Underwriting: Ingest live active listings, square footage rates, and recent comp sales to feed cash-flow and cap-rate calculators automatically.
• PropTech & Aggregator Listing Ingestion: Power custom real estate portals, mobile apps, and property comparison websites with validated MLS listing data.
• Neighborhood Price & Market Trend Monitoring: Track median listing prices, days on market (DOM), and inventory shifts across high-growth ZIP codes.
• Automated Property Valuation (AVM) Pipelines: Provide clean, normalized real estate comparables to machine learning valuation models with zero manual data entry.
• Institutional Real Estate Portfolio Tracking: Monitor competitive single-family rental (SFR) acquisitions and institutional builder releases in real time.

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Execution Modes

1. Interactive Apify Console: Run queries directly with zero setup in your browser.
2. Programmatic Node.js / Python API: Trigger synchronous or asynchronous actor runs from backend services.
3. Webhook & Event-Driven Flows: Ingest structured records automatically into CRMs, databases, or automation tools upon run completion.
4. Scheduled Monitoring Tasks: Periodically execute batches to refresh lists or update records automatically.

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API & Actor Code Examples

1. Apify JavaScript SDK (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const input = {
  "location": "Austin, TX",
  "status": "for_sale",
  "min_price": 300000,
  "max_price": 750000,
  "limit": 10
};

const run = await client.actor('redfin-real-estate-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log('Results:', items);

2. Apify Python SDK (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
  "location": "Austin, TX",
  "status": "for_sale",
  "min_price": 300000,
  "max_price": 750000,
  "limit": 10
}

run = client.actor("redfin-real-estate-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

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Full Concrete JSON Payloads

HTTP 200 (Success)

{
  "success": true,
  "location": "Austin, TX",
  "count": 2,
  "listings": [
    {
      "id": "18492041",
      "mls_id": "ACTRIS-9482103",
      "address": "4502 South Congress Ave Unit 302",
      "city": "Austin",
      "state": "TX",
      "zip": "78745",
      "price": 425000,
      "beds": 2,
      "baths": 2,
      "sqft": 1140,
      "property_type": "Condo / Co-op",
      "year_built": 2019,
      "price_per_sqft": 372.8,
      "status": "for_sale",
      "latitude": 30.2214,
      "longitude": -97.7712,
      "url": "https://www.redfin.com/TX/Austin/4502-S-Congress-Ave-78745/unit-302/home/18492041"
    },
    {
      "id": "17384912",
      "mls_id": "ACTRIS-8472910",
      "address": "1208 Kinney Ave",
      "city": "Austin",
      "state": "TX",
      "zip": "78704",
      "price": 689000,
      "beds": 3,
      "baths": 2,
      "sqft": 1650,
      "property_type": "Single Family Residential",
      "year_built": 2015,
      "price_per_sqft": 417.57,
      "status": "for_sale",
      "latitude": 30.2541,
      "longitude": -97.7738,
      "url": "https://www.redfin.com/TX/Austin/1208-Kinney-Ave-78704/home/17384912"
    }
  ]
}

HTTP 400 (Bad Request / Missing Parameters)

{
  "success": false,
  "error": "Required parameter is missing or invalid.",
  "code": "missing_parameter"
}

HTTP 429 (Rate Limit / Concurrency Exceeded)

{
  "success": false,
  "error": "Account concurrency limit reached. Please back off or scale compute units.",
  "code": "rate_limit_exceeded"
}

HTTP 500 (Upstream Error)

{
  "success": false,
  "error": "Upstream service error encountered. Automatic edge retry failed.",
  "code": "upstream_error"
}

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Input Parameters & Schema

Parameter	Type	Required	Default	Description
location	String	Yes	Austin, TX	City, State, or ZIP code (e.g. 'Austin, TX', 'Miami, FL', '90210')
status	String	No	for_sale	Listing status filter ('for_sale', 'recently_sold', 'pending')
min_price	Integer	No	200000	Minimum property price in USD (e.g. 250000)
max_price	Integer	No	850000	Maximum property price in USD (e.g. 750000)
limit	Integer	No	25	Maximum number of property listings to return (1-100)

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How To Use (Step-by-Step)

1. Open Actor on Apify Store: Navigate to Redfin Real Estate MLS Scraper: US Homes & Property Data on the Apify Store.
2. Configure Input: Provide your target location and select your execution mode in the Input tab.
3. Execute Run: Click Start to run interactively, or call the Actor via API with apify-client.
4. Export Dataset: Instantly download results as JSON, CSV, Excel, or configure a Webhook to notify your endpoint.

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Transparent Pay-Per-Event (PPE) Pricing

• Free Users: $0.10 per run.
• Paid Apify Members: Fixed unit rate of $0.005 per query execution.
• Platform Compute: Billed directly to user account (isPPEPlatformUsagePaidByUser: true). Developer is never billed for platform usage.

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Frequently Asked Questions (FAQ)

1. What markets and regions does this Redfin scraper cover?

This Actor covers all major US metropolitan areas, counties, cities, and ZIP codes indexed by Redfin and local Multiple Listing Services (MLS).

2. What property details are extracted in each record?

Each record delivers address, city, state, ZIP, price, beds, baths, square footage, property type, year built, price per square foot, status, geocoordinates, and listing URL.

3. How fast are queries processed?

Average latency is ~250ms – 400ms per location query, served through global edge PoPs with automated session routing.

4. Do I need to manage residential proxies or solve CAPTCHAs?

No. The Actor handles all edge proxy rotation, browser fingerprint forging, and bot hurdles transparently with zero setup required.

5. How does Pay-Per-Event (PPE) pricing work?

Free users pay $0.10 per run. Paid Apify subscribers pay $0.005 per query ($5.00 per 1,000 queries). Platform compute is billed directly to the user account with no developer markup.

6. Can I filter by price range and listing status?

Yes. You can specify min_price, max_price, and filter by 'for_sale', 'recently_sold', or 'pending' listings.

7. Can I run this on a recurring schedule?

Yes! You can use Apify Schedules to trigger daily or weekly listing scrapes and monitor price cuts automatically.

8. How can I export the data?

Apify lets you export datasets in JSON, CSV, Excel, or stream records to Google Sheets or webhooks instantly on run completion.

9. Can I execute high-volume batch runs concurrently?

Yes! You can trigger parallel Actor runs via the Apify API or integrate with n8n, Make, or Python pipelines.

10. How are errors handled if a location has no listings?

The Actor returns a 200 HTTP response with an empty listings array and structured metadata, avoiding pipeline crashes.

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Keywords & Search Tags

real estate, redfin, mls, property data, housing market, redfin-real-estate-scraper, apify actor, cloud scraper, automation