Pricing

from $0.49 / 1,000 results

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Realtor.com Listing & Property Detail Extractor

Try for free

Search Realtor.com for-sale, for-rent, or recently-sold listings by city, or pull full detail pages with agent contacts, nearby schools, tax and price history, and flood/wildfire/noise risk scores.

Pricing

from $0.49 / 1,000 results

Rating

0.0

(0)

Developer

Nimbryxo-studio

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Real estate

Lead generation

Automation

Features

You can access the Realtor.com Listing & Property Detail Extractor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "mode": "BUY",
10    "recordType": "PROPERTIES",
11    "search": "Houston, TX",
12    "startUrls": [],
13    "maxItems": 3,
14    "endPage": 1,
15    "scrapeDetails": False,
16    "propertyTypes": [],
17    "keywords": [],
18    "hasPhotos": False,
19    "comingSoonOnly": False,
20    "sortBy": "relevant",
21}
22
23# Run the Actor and wait for it to finish
24run = client.actor("nimbryxo-studio/realtor-com-listing-and-property-detail-extractor").call(run_input=run_input)
25
26# Fetch and print Actor results from the run's dataset (if there are any)
27print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
28for item in client.dataset(run.default_dataset_id).iterate_items():
29    print(item)
30
31# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Realtor.com Listing & Property Detail Extractor API in Python

The Apify API client for Python is the official library that allows you to use Realtor.com Listing & Property Detail Extractor API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Realtor.com Listing & Property Detail Extractor API in JavaScript

Realtor.com Listing & Property Detail Extractor API through CLI

Realtor.com Listing & Property Detail Extractor OpenAPI definition

Realtor.com Listing & Property Detail Extractor API

Realtor.com Property Scraper

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Realtor.com Property Scraper

moving_beacon-owner1/realtor-com-property-scraper

Scrapes Realtor.com listings and outputs MLS-style data to an Apify dataset. - Multiple locations: scrape various cities, zip codes, or addresses - Listing types: for sale, for rent, recently sold, pending/contingent - Property types: single family, condos, townhomes, multi-family, land, mobile

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Realtor.com Scraper- Fresh Listings & Agent Contacts

ayk_6789/realtorpulse-listing-scraper

Scrape Realtor.com for listings posted in a custom time window (default: last 24 hours), auto-enriched with price/tax history, agent & brokerage contacts, and foreclosure or price-drop flags. Built for wholesalers, flippers, and lead-gen teams.

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Realtor Scraper — US Real Estate Listings & Property Data

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Black Falcon Data

Realtor.com Agents Scraper — Contacts, Reviews & B2B Leads

blackfalcondata/realtor-agents-scraper

Scrape realtor.com real-estate agents by US city or ZIP with contacts — direct & office phone · websites · office address · license number · social media, broker & client reviews per agent. Incremental mode tracks new and changed agents across scheduled runs.

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