Realtor.com MLS Real Estate Listings Scraper avatar

Realtor.com MLS Real Estate Listings Scraper

Pricing

from $1.75 / 1,000 item scrapeds

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Realtor.com MLS Real Estate Listings Scraper

Realtor.com MLS Real Estate Listings Scraper

Scrape Realtor.com MLS residential homes for sale, asking prices, property taxes, square footage, open house schedules, brokerages, and listing agent contacts.

Pricing

from $1.75 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

LiteZero

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

6 days ago

Last modified

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🚀 Realtor.com MLS Real Estate Listings Scraper

Production-grade, high-speed data extraction tool for extracting real-time structured data from Realtor Mls Listings. Designed specifically for B2B data teams, automated workflows, and LLM/RAG pipelines with Pay-Per-Result (PPR) pricing and Free Platform Usage.


🥊 Why This Actor Beats the Competition

Feature⚡ This Actor (realtor-mls-listings-scraper)🐌 Legacy Scrapers
Pricing ModelPay-Per-Result ($2.50/1k)Heavy monthly rental or surprise compute charges
Platform Compute100% FREE (Bundled in PPR)Buyer pays for compute hours & memory
SpeedSub-second direct HTTP (200+ items/sec)5–15 seconds per page via heavy Puppeteer
Anti-Bot ResilienceNative browser fingerprint spoofingFrequent 403 blocks and IP bans
Volume Discounts10% Bronze / 20% Silver / 30% GoldFixed high price across all tiers
Setup FrictionZero auth or external API key requiredRequires complicated API registration

🛠️ How to Use

Method 1: Apify Web Console (No-Code GUI)

  1. Navigate to the Actor page on the Apify Console.
  2. Enter your target City, State or Postal Code and set Maximum Results Count.
  3. Click Start and download your dataset in JSON, CSV, Excel, or XML format.

Method 2: Python SDK

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"location": "Scottsdale, AZ",
"maxItems": 50
}
run = client.actor("litezero/realtor-mls-listings-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/realtor-mls-listings-scraper').call({
location: 'Scottsdale, AZ',
maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Method 4: REST API (cURL)

curl -X POST "https://api.apify.com/v2/acts/litezero~realtor-mls-listings-scraper/runs?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"location": "Scottsdale, AZ", "maxItems": 20}'

📥 Input Parameters

ParameterTypeRequiredDefaultDescription
locationStringYes"Scottsdale, AZ"Target location (e.g. 'Scottsdale, AZ', 'Naples, FL', 'Dallas, TX', '90210').
maxItemsIntegerNo20Maximum number of records to extract (1 to 1000).
proxyConfigurationObjectNoNoneOptional proxy settings.

📤 Output Data Dictionary & Sample JSON

Every extracted record includes complete metadata and conforms to the following schema:

{
"propertyId": "M28194-82910",
"address": "8421 E Mountain Spring Rd",
"city": "Scottsdale",
"state": "AZ",
"zip": "85255",
"price": 1450000,
"currency": "USD",
"beds": 4,
"baths": 3.5,
"sqft": 3620,
"lotSqft": 18400,
"propertyType": "Single Family Home",
"yearBuilt": 2018,
"openHouseSchedule": "Saturday, Oct 10: 1:00 PM - 4:00 PM",
"brokerName": "Russ Lyon Sotheby's International Realty",
"agentName": "Michael Henderson",
"url": "https://www.realtor.com/realestateandhomes-detail/8421-E-Mountain-Spring-Rd_Scottsdale_AZ_85255",
"scrapedAt": "2026-10-06T10:00:00.000Z"
}

💡 Top Commercial Use Cases

  1. Market & Competitor Intelligence: Benchmark pricing, ratings, and customer sentiment continuously.
  2. B2B Lead Generation & Outreach: Enrich your CRM with verified profiles, addresses, and contacts.
  3. AI & RAG Vector Pipelines: Ingest fresh, structured domain data into enterprise LLMs and vector stores.

Maintained under Apify Creator Account litezero. Built in full compliance with the Apify Store quality guidelines.