# 🏘️ Hotpads Rental Scraper - Apartments & Housing Data (`benthepythondev/hotpads-rental-scraper`) Actor

Extract rental listings from Hotpads.com. Scrape apartments, houses, condos with pricing, beds/baths, photos, and amenities. Filter by location, price range, and property type. Includes lead scoring for quality assessment. Ideal for rental market research, property management, and investors.

- **URL**: https://apify.com/benthepythondev/hotpads-rental-scraper.md
- **Developed by:** [Ben](https://apify.com/benthepythondev) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 23 total users, 3 monthly users, 91.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## 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

## 🏘️ Hotpads Rental Scraper — Apartments, Houses & Rental Listings With Lead Scores

Extract **rental listings from Hotpads.com** — one of the largest US rental
marketplaces (Zillow-owned) covering apartments, houses, condos, townhomes and rooms.
Search any US city with filters for rent, bedrooms, pet policy and property type, and
get back clean, structured listings with pricing, beds, photos, verification badges and
a 0–100 lead score on every result. Export to JSON/CSV/Excel, run on a schedule, call
via API, or connect to Make, Zapier or n8n.

### 🏘️ What is the Hotpads Rental Scraper?

It turns any Hotpads rental search into a structured dataset. Give it a city
(`san-francisco-ca`, `new-york-ny`, …) and optional filters for price, bedrooms, pets
and property type, and it paginates through the results and returns every matching
listing with full details — so property managers, investors, relocation services and
rental aggregators can monitor pricing and availability without manual browsing. You can
also paste exact Hotpads listing URLs in `direct_urls` mode to pull richer per-listing
detail (baths, square footage, amenities, description and contact phone).

#### What data does it extract?

- **Rent price range** (`price_min`, `price_max`) and **bedroom range** (`beds_min`, `beds_max`)
- **Property/building name** and **full address**
- **Building type** and **property type**
- **Verification badge** (`is_verified`), **3D tour** (`has_3d_tour`) and **special offer** (`has_special_offer`) flags
- **Units available** and **photo URLs**
- **Lead score (0–100)** ranking listing quality
- **Listing URL**, **source** and **scrape timestamp**
- **Direct-URL mode extras:** bathrooms, square footage, amenities list, description and contact phone

### ⬇️ Input

Run it two ways — search a city with filters, or pass exact listing URLs:

| Field | Description |
|-------|-------------|
| `mode` | `search` (by city + filters) or `direct_urls` |
| `location` | City and state, e.g. `san-francisco-ca`, `new-york-ny`, `chicago-il` |
| `propertyType` | `apartments-for-rent`, `houses-for-rent`, `condos-for-rent`, `townhomes-for-rent`, `rooms-for-rent` |
| `minPrice` / `maxPrice` | Monthly rent range |
| `minBeds` / `maxBeds` | Bedroom range (0 = studio) |
| `petsAllowed` | `dogs`, `cats`, `dogs,cats`, or blank for any |
| `listingUrls` | Exact Hotpads listing URLs (for `direct_urls` mode) |
| `maxListings` | Cap the run (1–1000) |
| `includePhotos` | Extract photo URLs (default on) |

#### Example input

```json
{
  "mode": "search",
  "location": "san-francisco-ca",
  "propertyType": "apartments-for-rent",
  "minPrice": 2000,
  "maxPrice": 4500,
  "minBeds": 1,
  "maxBeds": 2,
  "petsAllowed": "dogs,cats",
  "maxListings": 100,
  "includePhotos": true
}
```

### ⬆️ Output

Every listing is one clean row (view as a **table**, or export **JSON / CSV / Excel**):

```json
{
  "source": "hotpads.com",
  "scraped_at": "2026-06-26T12:00:00.000000",
  "url": "https://hotpads.com/123-main-st-san-francisco-ca/pad",
  "name": "Luxury Downtown Apartments",
  "price_min": 2500,
  "price_max": 4500,
  "beds_min": 0,
  "beds_max": 2,
  "address": "San Francisco, CA",
  "building_type": "Apartment",
  "is_verified": true,
  "has_3d_tour": true,
  "has_special_offer": false,
  "units_available": 12,
  "property_type": "rental",
  "listing_type": "apartment",
  "photos": ["https://photos.hotpads.com/..."],
  "lead_score": 85
}
```

### 💡 Use cases

- **🏢 Property managers:** monitor competitor rents, availability and amenities across a metro to price your units right.
- **💰 Real-estate investors:** find rental properties, benchmark yields and spot premium buildings worth analysing.
- **🚚 Relocation & moving services:** help clients find rentals in a new city and generate warm leads from active searchers.
- **📊 Market research & aggregators:** track rental trends over time and build comprehensive rental databases.

### 🧮 How the lead score works

A transparent 0–100 score combining **verification** (verified listings score higher),
**listing features** (3D tour, special offer), **availability** (units available) and
**price point** (premium rentals score higher as leads for agents and managers). Use it
to sort and work the strongest listings first.

### ❓ FAQ

**How do I scrape Hotpads rentals?** Pick a `location` (city-state slug like
`san-francisco-ca`) and optional filters for price, beds, pets and property type, then
Run. You get structured listings with pricing, beds, photos, verification and a lead
score.

**How do I format the location?** Use the city and state as a lowercase slug, e.g.
`new-york-ny`, `los-angeles-ca`, `chicago-il`, `houston-tx` — it matches the Hotpads URL
path. Works with any US city on Hotpads.

**Can I scrape specific listing URLs?** Yes — set `mode: direct_urls` and paste Hotpads
listing URLs in `listingUrls`. Detail pages also return bathrooms, square footage,
amenities, description and contact phone where available.

**Can I filter for pet-friendly rentals?** Yes — set `petsAllowed` to `dogs`, `cats` or
`dogs,cats`.

**Do I need an API key?** No. It reads public Hotpads listing data — just give it a
location and filters.

**What does the lead score mean?** It is a 0–100 quality score (verification, features,
availability, price) so you can rank the best listings first. Higher means a stronger,
more complete listing.

**How many listings can it return?** Up to your `maxListings` cap; it paginates
automatically through the search results.

**Can I run it on a schedule or via API?** Yes — schedule recurring runs in Apify, call
it via the API/SDK, or connect it to Make, Zapier or n8n.

**Is scraping Hotpads legal?** It extracts publicly available rental listing data. Use
it responsibly for market research and lead generation, and follow applicable laws and
Hotpads' terms.

### 🔗 You might also like

- **[Zumper Rental Scraper](https://apify.com/benthepythondev/zumper-rental-scraper)** — Zumper apartment & house rentals
- **[Craigslist Real Estate Scraper](https://apify.com/benthepythondev/craigslist-real-estate-scraper)** — Craigslist FSBO & rentals
- **[Redfin Rental Scraper](https://apify.com/benthepythondev/redfin-rental-scraper)** — Redfin rental listings
- **[Rent.com Scraper](https://apify.com/benthepythondev/rent-com-scraper)** — Rent.com apartment listings

***

**Keywords:** Hotpads scraper, Hotpads rental scraper, rental listings scraper, apartments for rent data, rental market research, property management leads, rental price monitoring, US rentals API, real estate investor data, rental aggregator, lead scoring, Zillow rentals alternative, rooms for rent, houses for rent scraper.

# Actor input Schema

## `mode` (type: `string`):

Choose whether to search listings or scrape specific URLs

## `location` (type: `string`):

City and state to search (e.g., 'san-francisco-ca', 'new-york-ny')

## `propertyType` (type: `string`):

Type of property to search

## `minPrice` (type: `integer`):

Minimum monthly rent

## `maxPrice` (type: `integer`):

Maximum monthly rent

## `minBeds` (type: `integer`):

Minimum number of bedrooms (0 for studio)

## `maxBeds` (type: `integer`):

Maximum number of bedrooms

## `petsAllowed` (type: `string`):

Filter for pet-friendly rentals

## `listingUrls` (type: `array`):

Direct Hotpads listing URLs to scrape (for direct\_urls mode)

## `maxListings` (type: `integer`):

Maximum number of listings to scrape

## `includePhotos` (type: `boolean`):

Extract photo URLs from listings

## Actor input object example

```json
{
  "mode": "search",
  "location": "san-francisco-ca",
  "propertyType": "apartments-for-rent",
  "petsAllowed": "",
  "maxListings": 10,
  "includePhotos": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "location": "san-francisco-ca",
    "maxListings": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("benthepythondev/hotpads-rental-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 = {
    "location": "san-francisco-ca",
    "maxListings": 10,
}

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

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

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

```

## CLI example

```bash
echo '{
  "location": "san-francisco-ca",
  "maxListings": 10
}' |
apify call benthepythondev/hotpads-rental-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=benthepythondev/hotpads-rental-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/yYUkljBV3uocifKJ6/builds/cArp8TiujQCDArJ0d/openapi.json