Realtor Property Scraper
Pricing
from $2.20 / 1,000 results
Realtor Property Scraper
Search Realtor.com listings across the United States. Extract sale, rent, and sold property data with prices, addresses, specs, descriptions, agents, MLS IDs, photos, and source URLs.
Pricing
from $2.20 / 1,000 results
Rating
5.0
(2)
Developer
AgentX
Maintained by CommunityActor stats
2
Bookmarked
26
Total users
9
Monthly active users
1.5 hours
Issues response
9 days ago
Last modified
Categories
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Realtor Property Scraper - Realtor.com Property Listings API
Realtor Property Scraper is a production-ready Apify real estate listings API for Realtor.com listing extraction for property intelligence and lead workflows. Search the United States by location, listing type, and property type, then export normalized property data with prices, addresses, property specs, images, listing dates when available, contact details, platform names, and source URLs. It is designed for real estate investment research, broker lead generation, competitive market monitoring, data enrichment, and AI agents that need repeatable property data without maintaining a custom scraper.
Why Choose This API
Production-grade Realtor.com property data extraction
Location-aware search Run searches by country and location using city, region, neighborhood, postal code, or address-style inputs supported by the platform.
Normalized property intelligence Collect listing status, property type, price, bedrooms, bathrooms, area, location, images, source URLs, and available agency or contact metadata in one clean dataset.
Recently posted listing workflows
Use posted_since to request recently posted listings with absolute dates such as 2026-05-20 or relative values such as 24 hours, 7 days, or 2 weeks.
Automation-ready output Use the Apify API, Make, N8N, scheduled runs, webhooks, or MCP clients to send property data into Sheets, Airtable, HubSpot, data warehouses, dashboards, and AI workflows.
Quick Start Guide
- Open Realtor Property Scraper.
- Enter
country,location,max_results, and optional filters such aslisting_type,property_type, andposted_sincewhen available. - Click Start and export the dataset as JSON, CSV, Excel, XML, RSS, or through the Apify API.
Input Parameters
| Parameter | Type | Required | Description | Example |
|---|---|---|---|---|
max_results | integer | Yes | Maximum number of property listings to return per selected platform. | 10 |
country | string | Yes | Country where the target property listings are located. Supported values: United States. | United States |
location | string | Yes | City, region, neighborhood, postal code, or address to search. | Austin, TX |
listing_type | string | No | Listing status to search, such as for_sale, for_rent, or sold where supported. Supported values: for_sale, for_rent, sold. | for_sale |
property_type | string | No | Optional property type filter. Leave empty to include all supported property types. Supported values: residential, house, apartment, condo, townhouse, land, new_development, ready_to_build. | empty |
posted_since | string | No | Optional absolute or relative date filter for recently posted listings where the selected source supports posted-date filtering. | 7 days |
Example input:
{"country": "United States","location": "Miami, FL","max_results": 100,"listing_type": "for_sale","property_type": "house","posted_since": "7 days"}
Output Data Schema
Each result is a structured property listing. Common fields include cover_image, image_urls, title, description, listing_id, mls_id, listing_type, property_type, price, rooms, area, land, location, address, geo, building, dates, posted_time, fees, media, open_houses, features, amenities, details, contact, platform, source_url, official_url, processor, and processed_at where available.
The dates object may include listed, updated, sold, available, and days-on-market values depending on the source. Dataset exports are available through the Apify Console, default dataset API, and integrations.
Integration Examples
Python
from apify_client import ApifyClientclient = ApifyClient('YOUR_APIFY_TOKEN')run = client.actor('agentx/realtor-property-scraper').call(run_input={"country": "United States", "location": "Miami, FL", "max_results": 100, "listing_type": "for_sale", "property_type": "house", "posted_since": "7 days"})items = client.dataset(run['defaultDatasetId']).list_items().items
JS
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('agentx/realtor-property-scraper').call({"country": "United States", "location": "Miami, FL", "max_results": 100, "listing_type": "for_sale", "property_type": "house", "posted_since": "7 days"});
Make
Use Actor ID agentx/realtor-property-scraper in the Apify module, then map dataset items to Google Sheets, Airtable, HubSpot, Notion, or your warehouse.
N8N
Use the Apify node with Actor ID agentx/realtor-property-scraper and pass the JSON input from this README.
JSON-LD
{"@context": "https://schema.org","@type": "SoftwareApplication","name": "Realtor Property Scraper","applicationCategory": "BusinessApplication","operatingSystem": "Cloud","dateModified": "2026-06-05","offers": {"@type": "Offer", "price": "0.0030", "priceCurrency": "USD"}}
Pricing & Cost Calculator
This actor uses pay-per-result pricing. You are charged only for successful property records written to the dataset. Example: 1,000 successful results at approximately $3.00.
Use Cases & Applications
- Real estate market monitoring and comparable listing research
- Investor sourcing, underwriting, and lead generation
- Broker, agent, landlord, owner, or developer prospecting
- Rental and sale price benchmarking by location and property type
- PropTech dashboards, valuation tools, and data enrichment pipelines
- AI property intelligence, RAG datasets, and CRM enrichment
FAQ
What is Realtor Property Scraper?
It is an Apify actor that extracts structured real estate listing data from Realtor.com or the selected supported platforms.
How do I filter recently posted listings?
Use posted_since to request recently posted listings with absolute dates such as 2026-05-20 or relative values such as 24 hours, 7 days, or 2 weeks.
Can I export the results?
Yes. Apify datasets support JSON, CSV, Excel, XML, RSS, and API access.
Why does a search return fewer records than max_results?
The actor returns available listings after platform filtering, pagination, deduplication, date filtering where supported, and source availability.
SEO Keywords & Search Terms
Realtor Property Scraper, Realtor.com scraper, Realtor.com API, property listing scraper, real estate data API, property lead generation, property market data, Apify property scraper, real estate listings export, property intelligence API.
Trust & Certifications
Built for Apify cloud execution with structured datasets, proxy-aware collection, retries, deduplication, and repeatable API workflows. Runs can be scheduled, monitored, and integrated with standard Apify webhooks and dataset exports.
Legal & Compliance
Use this actor responsibly and review applicable platform terms, data rights, GDPR, CCPA, and local privacy requirements before storing or processing property data. The actor is intended for lawful public-data workflows such as research, analytics, enrichment, and internal business intelligence. For enterprise compliance or legal workflow questions, contact support at https://t.me/AiAgentApi.
Related Tools
AgentX property APIs: All Property Scraper, Zillow Property Scraper, Realtor Property Scraper, MagicBricks Property Scraper, Homes Property Scraper, NoBroker Property Scraper, Property24 Property Scraper
TrueFetch real estate APIs: Global Real Estate Listings, Zillow Real Estate Listings, Realtor Real Estate Listings, Zoopla Real Estate Listings, Domain Real Estate Listings, Redfin Real Estate Listings, Rightmove Real Estate Listings
Business enrichment: Google Maps Store Scraper, LinkedIn Company Lookup, BBB Business Search API
Support & Community
- Telegram support: https://t.me/AiAgentApi
- Telegram group: https://t.me/Apify_Actor
- Actor page: https://apify.com/agentx/realtor-property-scraper?fpr=aiagentapi
Last Updated: June 05, 2026