# Rently Scraper & API: US Rental Listings Data (`housingfeed/rently-scraper`) Actor

Scrape US rental listings from Rently as clean, normalized JSON, rent, beds, baths, address. Filter by state, city, rent and bedrooms.

- **URL**: https://apify.com/housingfeed/rently-scraper.md
- **Developed by:** [HousingFeed](https://apify.com/housingfeed) (community)
- **Categories:** Real estate, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.

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

#### Rently rental listings, in one API

Scrape rental listings from Rently and get them back in a clean, normalized schema: rent, beds, baths, address, location, and availability.

Rently is a US self-showing and leasing platform used by property managers and landlords. Listings come directly from the operators managing the units, so it's another route to US rentals that the national portals may not carry.

#### What you get

Every listing comes back with the same fields:
`platform`, `url`, `address`, `city`, `state`, `zip`, `rent_min`, `rent_max`, `currency`, `beds`, `baths`, `property_type`, `available`, `scraped_at`, and more.

#### What it's for

Rent comps, market and supply analysis, inventory feeds, or clean input for your own app or model.

#### Quick start

```bash
curl -X POST "https://api.apify.com/v2/acts/housingfeed~rently-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" -d '{"maxItems":100}'
```

See the Input tab for filters (city, price, beds, and more).

#### Need more than Rently?

This actor covers one source. For rental listings from 60+ platforms (Zillow, Apartments.com, AppFolio, Buildium, and more) in a single call, use the [Rental Listings API](https://apify.com/housingfeed/rental-listings-api). Same schema, every source.

#### Pricing

$1 per 1,000 listings. New Apify accounts come with free credits, so you can test it before you spend anything.

#### FAQ

**How fresh is it?** Listings are refreshed on a schedule, and every record has a `scraped_at` timestamp.
**Is it legal?** It returns publicly listed rental data. You are responsible for how you use it.

# Actor input Schema

## `state` (type: `string`):

US state code (e.g. CA).

## `city` (type: `string`):

City name, partial match. Blank = all.

## `minRent` (type: `integer`):

Minimum monthly rent (local currency).

## `maxRent` (type: `integer`):

Maximum monthly rent (local currency).

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

Minimum number of bedrooms.

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

Maximum number of bedrooms.

## `availableNow` (type: `boolean`):

Only listings marked available now.

## `maxItems` (type: `integer`):

Maximum number of listings to return.

## Actor input object example

```json
{
  "minBeds": 1,
  "availableNow": false,
  "maxItems": 100
}
```

# 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 = {
    "minBeds": 1,
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("housingfeed/rently-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 = {
    "minBeds": 1,
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("housingfeed/rently-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 '{
  "minBeds": 1,
  "maxItems": 100
}' |
apify call housingfeed/rently-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/FkFAKE6pb4oSwpPVW/builds/q3EaCBimiH1Lz0wSe/openapi.json