# 🔍 Zumper.com Scraper – Apartment Rental Listings (`scrapemind/zumpercom-scraper`) Actor

This Apify actor scrapes rental listings from Zumper.com, a leading rental platform in North America. Use this scraper to extract detailed apartment rental data for cities and neighborhoods, including multi-page results.

- **URL**: https://apify.com/scrapemind/zumpercom-scraper.md
- **Developed by:** [ScrapeMind](https://apify.com/scrapemind) (community)
- **Categories:** Integrations, Real estate, Other
- **Stats:** 22 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$25.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Zumper.com Scraper

Extract real estate data from Zumper.com effortlessly. This Apify actor allows you to scrape apartment, house, and room listings with ease. Specify your search criteria and let the scraper gather the data for you.

### Features

- **Scrape by Search URL**: Provide a Zumper search URL, and the actor will scrape the listings from it. You can apply any filters on Zumper.com and then use that URL.
- **Pagination**: The actor can automatically navigate through search result pages to scrape all matching listings.
- **Filter by Property Type, Beds, and Price**: Fine-tune your scraping with input options for property type, minimum beds, and maximum price.
- **Limit Scraped Items**: You can set a maximum number of listings to scrape, which is useful for testing or when you only need a sample of data.
- **Apify Proxy Support**: Uses Apify's proxy servers to avoid getting blocked.

### Input

The actor requires a Zumper search URL to start scraping. You can customize the scraping with the following input options:

- **Start URLs**: The Zumper.com search URLs to scrape.
- **Scrape all pages**: Whether to scrape all pages of the search results.
- **Max items**: The maximum number of listings to scrape.
- **Proxy configuration**: Proxy settings for the scraper.

### Output

The scraper returns a dataset of real estate listings. Each item in the dataset is a JSON object with the following fields:

- `id`: Unique ID of the listing
- `url`: URL of the listing page
- `title`: Title of the listing
- `address`: Full address
- `price`: Rental price
- `bedrooms`: Number of bedrooms
- `bathrooms`: Number of bathrooms
- `description`: Property description
- `amenities`: List of amenities
- `photos`: List of photo URLs
- `latitude`: Latitude
- `longitude`: Longitude
- `property_type`: Type of property

Here is an example of an output item:

```json

{
 "__typename": "Listable",
 "address": "100 Sprucewood Crt",
 "agent_id": 3347396,
 "agent_name": "Park Property Management",
 "amenities": [
  1,
  2
 ],
 "amenity_tags": [
  "Onsite Laundry",
  "Heat",
  "Air Conditioning",
  "Hot Water"
 ],
 "brokerage_id": 1256465,
 "brokerage_name": "Park Property Management",
 "building_amenities": [
  9,
  4
 ],
 "building_amenity_tags": [
  "Onsite Laundry",
  "Assigned Parking",
  "Swimming Pool",
  "Close to Major Highways",
  "Outdoor Swimming Pool",
  "Heat Included",
  "Laundry Facilities Onsite",
  "Close to Schools",
  "On Site Superintendent",
  "Water Included",
  "Near Shopping",
  "Plus Hydro",
  "Scenic Park Like Setting",
  "Close to Parks",
  "Friendly Onsite Staff",
  "Friendly Community",
  "Close To Bus Stop \u0026 Subway",
  "Surface and Underground Parking",
  "Air Conditioned Suites"
 ],
 "building_id": 1837183,
 "building_name": "100 Sprucewood Court",
 "city": "Toronto",
 "city_state": "toronto-on",
 "created_on": 1750364327,
 "date_available": null,
 "external_rating": null,
 "features": [
  35,
  38,
  72,
  78,
  48,
  20,
  22,
  23,
  88,
  91,
  95
 ],
 "feed_name": "llws_mits41_bundle",
 "floorplan_count": 1,
 "group_id": -1837183,
 "image_ids": [
  822414768,
  791502987,
  612103303,
  612103304,
  612103305,
  612103306,
  612103307,
  612103308,
  612103309,
  612103310
 ],
 "integrated_tour_types": [],
 "is_featured": false,
 "is_messageable": true,
 "is_pad": false,
 "lat": 43.79364586496524,
 "lease_type": 1,
 "leasing_fee": null,
 "listed_on": 1750971503,
 "listing_id": 61793502,
 "listing_status": 1,
 "listing_type": 1,
 "lng": -79.3236008696968,
 "max_all_bathrooms": [
  2,
  0
 ],
 "max_bathrooms": 2,
 "max_bedrooms": 3,
 "max_lease_days": 365,
 "max_price": 2899,
 "max_square_feet": -1,
 "min_all_bathrooms": [
  2,
  0
 ],
 "min_bathrooms": 2,
 "min_bedrooms": 3,
 "min_lease_days": 365,
 "min_price": 2899,
 "min_square_feet": 9223372036854776000,
 "modified_on": 1750364327,
 "neighborhood_id": 14626,
 "neighborhood_name": "L'Amoreaux",
 "pa_should_index": false,
 "pa_url": "100-sprucewood-ct-scarborough-on-m1w-2p2-can",
 "padmapper_url": "/buildings/p213206/apartments-at-100-sprucewood-crt-toronto-on-m1w-2p2",
 "pb_id": 213206,
 "pb_url": "100-sprucewood-court-l'amoreaux-toronto-on",
 "pets": [
  1,
  2,
  3
 ],
 "phone": null,
 "pl_id": null,
 "pl_url": null,
 "previous_price": null,
 "promotion": 50.4,
 "property_type": 4,
 "provider_url": null,
 "rating": 8.8,
 "short_description": null,
 "state": "ON",
 "title": "Three Bedroom Apartment",
 "tz": "America/Toronto",
 "url": "/apartment-buildings/p213206/100-sprucewood-court-l'amoreaux-toronto-on",
 "zappable": 0,
 "zipcode": "M1W 2P2"
}

```

***

### Support

For issues or feature requests, open an issue on this repository or contact the author via Apify.

***

### Contact Me

If you need a custom web scraping solution or have any questions, feel free to [Contact me.](mailto://baqo271@gmail.com), or reach out via [Discord](https://discord.com/users/291943252486127616) Let’s discuss how I can help with your data needs!

***

### SEO Keywords

- zumper.com scraper
- zumper.com API
- real estate data crawler
- Property listings scraper
- real estate agent data extraction
- property listings API

***

**Start extracting Canadian real estate data from zumper.com today!**

# Actor input Schema

## `Urls` (type: `array`):

Zumper.com search URLs to start scraping from. You can use any filters on Zumper.com and then provide the URL.

## `fullScrape` (type: `boolean`):

If checked, the actor will scrape all pages of the search results.

## `getDetails` (type: `boolean`):

If checked, the actor will fetch the detail page for each listing and include the full detail data.

## `proxyConfiguration` (type: `object`):

Select proxies to be used by the crawler.

## Actor input object example

```json
{
  "Urls": [
    {
      "url": "https://www.zumper.com/apartments-for-rent/toronto-on"
    }
  ],
  "fullScrape": false,
  "getDetails": false
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "Urls": [
        {
            "url": "https://www.zumper.com/apartments-for-rent/toronto-on"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemind/zumpercom-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "Urls": [{ "url": "https://www.zumper.com/apartments-for-rent/toronto-on" }] }

# Run the Actor and wait for it to finish
run = client.actor("scrapemind/zumpercom-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "Urls": [
    {
      "url": "https://www.zumper.com/apartments-for-rent/toronto-on"
    }
  ]
}' |
apify call scrapemind/zumpercom-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapemind/zumpercom-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/18TUvOYhh4YKG9Yci/builds/vASU9u9h5xk5Ytg5D/openapi.json