Deprecated

Pricing

$25.00/month + usage

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Realtor Scraper

Deprecated

See alternative Actors

Developed by

Scraping King

Uncover valuable insights from realtor.com's extensive property listings. Extract descriptions, images, features, property details, pricing, neighborhood details, nearby schools, and more for millions of properties. Customize your searches and filters to find the perfect real estate data.

0.0 (0)

Pricing

$25.00/month + usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

6 months ago

Real estate

Lead generation

You can access the Realtor Scraper 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 Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

$echo '{
<  "region": "Riverside County, CA",
<  "limit": 0
<}' |
<apify call scrapingking.com/realtor-scraper --silent --output-dataset

Realtor Scraper API through CLI

The Apify CLI is the official tool that allows you to use Realtor Scraper locally, providing convenience functions and automatic retries on errors.

Install the Apify CLI

$npm i -g apify-cli
$apify login

Other API clients include:

Realtor Scraper API in Python

Realtor Scraper API in JavaScript

Realtor Scraper OpenAPI definition

Realtor Scraper API

Realtor.com Scraper

epctex/realtor-scraper

epctex

999

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Realtor Agents Scraper

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Get valuable insight from realtor agents data. This scraper provides you complete database of all agents from realtor.com including agent contact details and statistics. You can scrape specific area of choice to analyze as well.

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Realtor.ca Realtors Scraper

louisdeconinck/realtorca-realtors-scraper

Extract comprehensive realtor data from Realtor.ca with ease. This actor scrapes contact details, office information, and social media links for real estate professionals across Canada. Perfect for lead generation, market research, and competitor analysis. Width smart pagination and proxy support.

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memo23/apify-realtor-scraper

Empower your marketing and research efforts with precise Realtor.com agent data. Extract valuable insights seamlessly!

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powerful_bachelor/Realtor-com-Scraper

🏡 Realtor.com Scraper is a powerful tool for extracting detailed property data from Realtor.com listings. Perfect for real estate professionals and researchers, it provides insights like pricing, location, and amenities in formats like JSON, CSV, and Excel for easy analysis.

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scraped/realtor-com-scraper-by-location

Scrape listings from Realtor.com based off location. Data includes typical listing details as well as seller contact information (email and phone).

scraped

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Realtor.com Scraper 🏠

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Scrape real estate listings from Realtor.com. Extract detailed property information including prices, location details, property features, and more. Perfect for real estate market analysis and property research.

EasyApi

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getdataforme/realtor-scraper-pro

Realtor scraper pro helps to extract properties address and price details of the property listed in realtor.com. It's accurate reliable and easy to use tool.

GetDataForMe

Realtor.ca Scraper | Canada

scrapemind/Realtor-ca-Scraper

Extract real estate listings, property details, and agent information from realtor.ca for any city or search. Download data as JSON, CSV, or Excel for research, lead generation, or analysis.

ScrapeMind

Realtor Email Scraper

scraper-mind/realtor-email-scraper

Realtor Email Scraper – Instantly extract verified Realtor.com emails by keyword & location! Perfect for real estate marketers, agencies & lead gen pros. Fast, accurate, proxy-ready & exportable in CSV, JSON, Excel. Start building your contact list today!

Scraper Mind

Realtor Scraper (Property Details)

coder_luffy/realtor-scraper

This fast and affordable API/scraper provides real-time access to Realtor.com listings, including property details, pricing, location, and agent emails and phone numbers. Ideal for real estate analysis, lead generation, and data-driven projects.