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URL: https://apify.com/agentx/realtor-property-scraper?fpr=aiagentapi

โ‡ฑ Realtor Property Scraper ยท Apify


Pricing

from $9.00 / 1,000 results

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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 $9.00 / 1,000 results

Rating

5.0

(2)

Developer

๐Ÿ‘ AgentX

AgentX

Maintained by Community

Actor stats

2

Bookmarked

28

Total users

9

Monthly active users

1.5 hours

Issues response

14 days ago

Last modified

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Realtor Property Scraper - Realtor.com Property Listings API

๐Ÿ‘ Property Data
๐Ÿ‘ Pay Per Result
๐Ÿ‘ No Login

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

  1. Open Realtor Property Scraper.
  2. Enter country, location, max_results, and optional filters such as listing_type, property_type, and posted_since when available.
  3. Click Start and export the dataset as JSON, CSV, Excel, XML, RSS, or through the Apify API.

Input Parameters

ParameterTypeRequiredDescriptionExample
max_resultsintegerYesMaximum number of property listings to return per selected platform.10
countrystringYesCountry where the target property listings are located. Supported values: United States.United States
locationstringYesCity, region, neighborhood, postal code, or address to search.Austin, TX
listing_typestringNoListing status to search, such as for_sale, for_rent, or sold where supported. Supported values: for_sale, for_rent, sold.for_sale
property_typestringNoOptional 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_sincestringNoOptional 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 ApifyClient
client = 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 =newApifyClient({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


Last Updated: June 05, 2026

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