RE/MAX Real Estate Listings Scraper

Extract public property listings from RE/MAX search, agent/office, and property pages. The actor uses a browser session, reads JSON-LD and rendered HTML, follows discovered property links, and stores one normalized listing per dataset item.

Built for real estate researchers, lead-generation teams, broker analysts, and AI agents that need structured public listing data.

Example input:

{
  "startUrls": [{ "url": "https://jchin.remax.com/?rtype=map&showagency=1" }],
  "maxResults": 25,
  "maxPages": 3,
  "includeDetails": true
}

Output includes listingId, title, price, priceDisplay, currency, address fields, bedrooms, bathrooms, areaSqft, imageUrl, description, agentName, brokerage, source url, and scrapedAt. Search pages may have fewer fields; detail pages enrich the record.

Only publicly rendered data is extracted. The actor does not log in, bypass CAPTCHAs, or claim that a blocked page is an empty search. If RE/MAX returns Cloudflare or another access challenge, the run reports BLOCKED and writes diagnostics to the OUTPUT key-value record. Use only owner-authorized proxy configuration and comply with the source site's terms, IDX/MLS restrictions, and applicable privacy laws.

Pricing

Pay per event: $0.00005 per run start plus $0.05 per unique listing returned. The maximum listing charge is maxResults × $0.05; records are charged only after they are successfully written to the dataset. Apify compute or proxy usage is not included in these event prices.

Local commands:

npm install
npm run build
npm test

What data does RE/MAX Real Estate Listings Scraper return?

Field	Type	Description
listingId	string	Listing ID
title	string	Property title
propertyType	string or null	Value returned as propertyType.
status	string or null	Value returned as status.
price	number or null	Value returned as price.
priceDisplay	string or null	Value returned as priceDisplay.
currency	string or null	Value returned as currency.
address	string or null	Value returned as address.
city	string or null	Value returned as city.
state	string or null	Value returned as state.
postalCode	string or null	Value returned as postalCode.
bedrooms	number or null	Value returned as bedrooms.
bathrooms	number or null	Value returned as bathrooms.
areaSqft	number or null	Value returned as areaSqft.
imageUrl	string or null	Value returned as imageUrl.
description	string or null	Value returned as description.
agentName	string or null	Value returned as agentName.
brokerage	string or null	Value returned as brokerage.
url	string	Value returned as url.
scrapedAt	string	Value returned as scrapedAt.
sourceType	string	Value returned as sourceType.

Use cases

• Compare listings, locations, availability, and market signals for property research.
• Build public prospect lists and qualify organizations or professionals before responsible outreach.
• Run a one-off research job and export the structured result as JSON, CSV, Excel, XML, or RSS from Apify.
• Schedule the same input to monitor changes over time and send completed datasets to a webhook or integration.
• Feed schema-shaped records into a database, spreadsheet, BI tool, or AI workflow with the source URL retained for verification.

Input

Field	Type	Description
startUrls	array	Public RE/MAX search, agent/office, or property URLs. Example: https://jchin.remax.com/?rtype=map&showagency=1
maxResults	integer	Maximum unique listings returned across all start URLs.
maxPages	integer	Maximum pagination steps per search URL.
includeDetails	boolean	Open discovered property pages to enrich descriptions, features, agents, and images.
proxyConfiguration	object	Optional Apify proxy configuration. Use an owner-authorized proxy when RE/MAX presents an access challenge.

Output example

{
  "listingId": "Example Listing ID",
  "title": "Example Property title",
  "propertyType": "Example propertyType",
  "status": "Example status",
  "price": 1,
  "priceDisplay": "Example priceDisplay",
  "currency": "Example currency",
  "address": "Example address",
  "city": "Example city",
  "state": "Example state",
  "postalCode": "Example postalCode",
  "bedrooms": 1
}

The exact fields depend on the selected input and what the public source exposes. Use the dataset schema as the machine-readable contract and retain source URLs for verification.

Run RE/MAX Real Estate Listings Scraper with the Apify API

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('muhammadafzal/remax-real-estate-listings-scraper').call({
  "startUrls": [
    {
      "url": "https://jchin.remax.com/?rtype=map&showagency=1"
    }
  ],
  "maxResults": 25,
  "maxPages": 3,
  "includeDetails": true,
  "proxyConfiguration": {}
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

You can also run the Actor from Apify Console, schedules, webhooks, the REST API, Make, Zapier, n8n, or the hosted Apify MCP server.

Support

When reporting a problem, include the Actor run ID, a redacted input, the expected result, and a small public example URL when applicable. Do not post API tokens, cookies, credentials, or personal data in an issue.