Realtor.com MLS Real Estate Listings Scraper
Pricing
from $1.75 / 1,000 item scrapeds
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
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
6 days ago
Last modified
Categories
Share
🚀 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 Model | Pay-Per-Result ($2.50/1k) | Heavy monthly rental or surprise compute charges |
| Platform Compute | 100% FREE (Bundled in PPR) | Buyer pays for compute hours & memory |
| Speed | Sub-second direct HTTP (200+ items/sec) | 5–15 seconds per page via heavy Puppeteer |
| Anti-Bot Resilience | Native browser fingerprint spoofing | Frequent 403 blocks and IP bans |
| Volume Discounts | 10% Bronze / 20% Silver / 30% Gold | Fixed high price across all tiers |
| Setup Friction | Zero auth or external API key required | Requires complicated API registration |
🛠️ How to Use
Method 1: Apify Web Console (No-Code GUI)
- Navigate to the Actor page on the Apify Console.
- Enter your target
City, State or Postal Codeand setMaximum Results Count. - Click Start and download your dataset in JSON, CSV, Excel, or XML format.
Method 2: Python SDK
from apify_client import ApifyClientclient = 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
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
location | String | Yes | "Scottsdale, AZ" | Target location (e.g. 'Scottsdale, AZ', 'Naples, FL', 'Dallas, TX', '90210'). |
maxItems | Integer | No | 20 | Maximum number of records to extract (1 to 1000). |
proxyConfiguration | Object | No | None | Optional 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
- Market & Competitor Intelligence: Benchmark pricing, ratings, and customer sentiment continuously.
- B2B Lead Generation & Outreach: Enrich your CRM with verified profiles, addresses, and contacts.
- 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.