# Rent.com Scraper - Apartments, Rentals & Property Leads (`scrapesage/rent-com-scraper`) Actor

Scrape Rent.com apartment & rental listings by city: prices, beds/baths, sqft, floor plans, amenities, move-in deals, photos, ratings, the leasing office phone & property-management company. Optional rental market data, website email enrichment and monitoring. No login, no key, no browser.

- **URL**: https://apify.com/scrapesage/rent-com-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 4 total users, 2 monthly users, 97.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 listing scrapeds

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

## Rent.com Scraper — Apartments, Rentals, Prices & Property Leads

Extract **complete apartment & rental data from [Rent.com](https://www.rent.com)** by city — prices and floor plans with **per-unit rents**, beds/baths/sqft, amenities, move-in **deals**, photos and 3D tours, ratings, availability, full street address and geo, the **leasing-office phone**, and the **property-management company** behind each property. Add optional **rental market data**, website email enrichment, and a monitoring mode that returns only new and price-changed listings.

No login, no API key, no browser — fast, reliable extraction of Rent.com's public listing data, with every property a ready-to-use **lead** (office phone + management company).

### Why this Rent.com scraper?

Most rental scrapers grab a name and a price. This actor reads Rent.com's full listing payload and ships the **richest dataset in the category** — including the data that turns a listing into a contactable lead and a market into comps.

| Data | Generic crawlers | This actor |
|---|---|---|
| Property name, full address, ZIP & geo | partial | ✅ ~100% |
| Starting price + **floor plans with per-unit rents** | partial | ✅ |
| Beds / baths / sqft ranges | ✅ | ✅ |
| **Leasing office phone** | ❌ | ✅ ~100% |
| **Property-management company** | ❌ | ✅ ~85% |
| Amenities, highlights & **move-in deals** | partial | ✅ |
| Photos, **3D tours**, ratings, availability | ❌ | ✅ |
| Full description, pet policy, walk/transit score, nearby schools | ❌ | ✅ *(details on)* |
| **Rental market data** (avg 1BR/2BR rent by area) | ❌ | ✅ *(market on)* |
| Website email/phone enrichment | ❌ | ✅ *(opt-in)* |
| Monitoring — only **new & price-changed** listings | ❌ | ✅ |
| Lead score (0–100) | ❌ | ✅ |

### Use cases

- **Rental & real-estate lead generation** — every property comes with a leasing phone and the property-management company name. Build prospect lists for proptech, insurance, internet/utility, moving, furnishing, smart-home and services vendors that sell to landlords and managers.
- **Rent comps & market research** — pull prices, floor plans, sqft and the per-area average 1BR/2BR rents to benchmark a market, set pricing, or feed an investment model.
- **Apartment-search & listing apps** — power a rentals product with structured, normalized listings (prices, amenities, photos, availability) without scraping a blocked source.
- **Property-management competitive intel** — see who manages which buildings in a market, their deals, ratings and amenities.
- **Lead enrichment & monitoring** — schedule daily runs in monitoring mode to capture new listings and price drops the moment they appear.

### How to use

1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor.
2. Open the **Rent.com Scraper**, add one or more locations as `City, ST` (e.g. `Austin, TX`), choose property types, and set your filters.
3. Click **Start** and watch listings stream into the dataset table.
4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2).

### Input

```json
{
    "locations": ["Austin, TX", "Miami, FL"],
    "propertyTypes": ["apartments"],
    "maxResults": 200,
    "maxPrice": 2500,
    "minBeds": 1,
    "petFriendlyOnly": true,
    "includeMarketData": true,
    "includeListingDetails": false,
    "monitorMode": false
}
```

- **locations** — US locations as `City, ST` (e.g. `Austin, TX`, `Brooklyn, NY`). Each is scraped for every selected property type. Required unless you use **startUrls**.
- **propertyTypes** *(default `apartments`)* — `apartments`, `houses`, `condos`, `townhomes`.
- **startUrls** — optional. Paste Rent.com city pages (`/texas/austin-apartments`) or property pages (`/apartment/…-lc6297303`).
- **maxResultsPerSearch / maxResults** — caps per city/type and for the whole run.
- **minPrice / maxPrice / minBeds / maxBeds / minBaths / petFriendlyOnly / availableNowOnly** — listing filters.
- **includeListingDetails** *(default false)* — open each property page for the full description, categorized amenities, pet policy, walk/transit score, nearby schools, total units and the management-company website (one extra page per listing).
- **includeMarketData** *(default false)* — emit a `market` record per city (total listings + nearby areas with average 1BR/2BR rent).
- **enrichContactEmails** *(default false)* — crawl a property/management website for emails, phones and socials (best with details on).
- **monitorMode** *(default false)* — return only listings that are new or price-changed since the last run.
- **proxyConfiguration** — proxy settings. Rent.com rate-limits datacenter IPs, so **Residential US** is the default and recommended.

### Output

By default you get **one clean, dense table of rental listings** — every column applies to every row. A listing record (`type: "listing"`):

```json
{
    "type": "listing",
    "listingId": "lc6297303",
    "name": "Hidden Gardens",
    "url": "https://www.rent.com/apartment/hidden-gardens-austin-tx-lc6297303",
    "propertyType": "APARTMENTS",
    "address": "5606 N Lamar Blvd",
    "addressFull": "5606 N Lamar Blvd, Austin, TX 78751",
    "city": "Austin", "state": "Texas", "zip": "78751",
    "latitude": 30.325138, "longitude": -97.72775,
    "phone": "(737) 409-0903",
    "propertyManagementCompany": "Gordon & Bilyeu Property Management",
    "price": 700, "priceText": "$700+", "priceMin": 700, "priceMax": 1575,
    "bedText": "Studio–2 Beds", "bedsMin": 0, "bedsMax": 2,
    "bathText": "1 Bath", "sqftMin": 440, "sqftMax": 1000,
    "unitsAvailable": 5, "availabilityStatus": "TODAY",
    "floorPlans": [{ "beds": 2, "baths": 1, "available": 3, "priceMin": 985, "priceMax": 1125, "units": ["$985", "$1,125"] }],
    "highlights": ["Pool", "Laundry", "Pet Park"],
    "dealTypes": ["1 Month Free"],
    "petFriendly": true, "has3dTour": true,
    "photos": ["https://i.rent.com/t_3x2_fixed_webp_lg/…"],
    "leadScore": 73,
    "scrapedAt": "2026-06-15T12:00:00.000Z"
}
```

With **includeListingDetails** on, each record also carries `description`, `amenities` + `amenityCategories`, `petPolicies`, `applicationFee`/`adminFee`, `walkScore`/`transitScore`/`bikeScore`, `schools` (with ratings), `propertyVibes` and `totalUnits`. A `market` record (`type: "market"`) carries `city`, `state`, `totalListings`, and `nearbyCities`/`nearbyNeighborhoods` each with average 1BR/2BR rent and distance.

#### What to expect (field coverage)

| Field | Coverage |
|---|---|
| listingId, name, url, full address, geo, price, beds/baths | ~100% |
| **leasing office phone** | ~100% |
| floor plans, photos, availability | ~100% |
| **property-management company** | ~85% |
| sqft | ~95% |
| description, amenities, pet policy, walk score, schools | with **includeListingDetails** |
| website / email | when the property links a site (opt-in crawl) — phone + management company are the primary lead |

A blank field means Rent.com didn't publish it for that property — nothing is dropped, so you always get the richest dataset available.

### Automate & schedule

Run this actor on autopilot and pull results into your own stack:

- **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST.
- **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs.
- **[Schedules](https://docs.apify.com/platform/schedules)** — run it daily/weekly with **monitorMode** to capture new listings and price drops over time.
- **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

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

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/rent-com-scraper').call({
    locations: ['Austin, TX'],
    propertyTypes: ['apartments'],
    maxResults: 200,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} listings`);
```

### Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

- **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios.
- **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new listing leads straight into your CRM.
- **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a monitored market adds listings or drops prices.
- **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet.
- **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse.
- **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases.

### Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find every 2-bed apartment under $2,000 in Austin with the leasing phone and management company" and let it run the scraper for you.

### Agent-ready: autonomous payments (x402 & Skyfire)

This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards:

- **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key.
- **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

### More scrapers from scrapesage

Build a complete **real-estate & local-lead stack**:

- **[Airbnb Scraper & Market Monitor](https://apify.com/scrapesage/airbnb-scraper)** — short-term rental listings, prices and availability.
- **[US Business Formation Scraper](https://apify.com/scrapesage/us-business-formation-scraper)** — newly registered LLCs & companies as fresh B2B leads.
- **[Houzz Scraper](https://apify.com/scrapesage/houzz-scraper)** — home & remodeling pros, contacts and reviews.
- **[Bark Listing Scraper](https://apify.com/scrapesage/bark-listing-scraper)** — local service-provider leads.
- **[Insurance Agent Scraper](https://apify.com/scrapesage/insurance-agent-scraper)** — State Farm & Farmers agent leads.
- **[Google Ads Transparency Scraper](https://apify.com/scrapesage/google-ads-transparency-scraper)** — who's advertising what on Google.
- **[Facebook Ad Library Scraper](https://apify.com/scrapesage/facebook-ad-library-scraper)** — competitor ad intelligence on Meta & Instagram.

### Tips

- **Use Residential proxy** (the default). Rent.com rate-limits datacenter IPs, so residential US is the reliable choice; the actor rotates a fresh proxy session on every retry.
- **Phone + management company are the lead.** They're on every listing with no extra requests — turn on `enrichContactEmails` (and `includeListingDetails` to capture the website) only when you also want emails.
- **Market research:** turn on `includeMarketData` for per-area average rents, and scrape several cities at once to compare markets.
- **Recurring monitoring:** combine [Schedules](https://docs.apify.com/platform/schedules) with `monitorMode` to get only new listings and price drops each run.

### FAQ

**How do I scrape a specific city?** Add it to `locations` as `City, ST` (e.g. `Austin, TX`). You can pass several at once, and pick which property types to include.

**Does it need the Rent.com API or a key?** No. This actor reads Rent.com's public listing data directly — no key, no login, no browser.

**Why residential proxy?** Rent.com rate-limits datacenter IPs (HTTP 429). Residential US proxy gives consistent, complete runs; it's the default.

**Can I get emails?** The primary contact is the leasing office phone and the property-management company (on every listing). When a property links its own website, turn on `enrichContactEmails` (with `includeListingDetails`) to crawl it for emails, phones and socials.

**How do I monitor a market for new listings or price drops?** Turn on `monitorMode` and create a [Schedule](https://docs.apify.com/platform/schedules). Each run returns only listings that are new or whose price changed (tagged `monitorReason`). It works alongside Apify Schedules — the schedule starts the run, monitor mode dedupes against earlier runs.

**A field is empty — why?** Some properties don't publish a management company, website, or certain details. Fields are blank only when Rent.com didn't publish that data — never because the scraper skipped it.

**Is scraping Rent.com legal?** This actor collects publicly available data only. You're responsible for using the data in compliance with applicable laws (e.g. GDPR/CCPA for personal data) and Rent.com's terms.

### Need help?

Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained.

# Actor input Schema

## `locations` (type: `array`):

US locations as `City, ST` (e.g. `Austin, TX`, `Miami, FL`, `Brooklyn, NY`). Each location is scraped for every selected property type. Required unless you use Start URLs.

## `propertyTypes` (type: `array`):

Which Rent.com property types to scrape in each location.

## `startUrls` (type: `array`):

Optional. Paste Rent.com city/search pages (`https://www.rent.com/texas/austin-apartments`) or property pages (`https://www.rent.com/apartment/hidden-gardens-austin-tx-lc6297303`). Processed in addition to the locations above.

## `maxResultsPerSearch` (type: `integer`):

Cap the number of listings collected per property type, per location.

## `maxResults` (type: `integer`):

Global cap on the total number of listing records emitted in this run.

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

Keep only listings whose top advertised rent is at least this much. Leave empty for no filter.

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

Keep only listings whose starting rent is at most this much. Leave empty for no filter.

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

Keep only listings offering at least this many bedrooms (0 = studio). Leave empty for no filter.

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

Keep only listings whose smallest unit has at most this many bedrooms. Leave empty for no filter.

## `minBaths` (type: `integer`):

Keep only listings offering at least this many bathrooms. Leave empty for no filter.

## `petFriendlyOnly` (type: `boolean`):

Keep only listings flagged pet-friendly (cat/dog).

## `availableNowOnly` (type: `boolean`):

Keep only listings with units available now / today.

## `includeListingDetails` (type: `boolean`):

Open each property's detail page to also capture the full description, the categorized amenity list, total units and the management-company website (the email-crawl wedge). Adds one request per listing — note this fetches a full page over the residential proxy, so it is slower and billed separately.

## `includeMarketData` (type: `boolean`):

Emit one `market` record per searched city: total listings, plus nearby cities & neighborhoods each with their average 1-bed and 2-bed rent and distance. Great for rent comps and market research.

## `enrichContactEmails` (type: `boolean`):

Opt-in lead enrichment: when a property or management company links its own website, crawl it (home + contact/about) for emails, phone numbers and social links. Most reliable with `Include full property details` on (that is where the website comes from).

## `maxPhotosPerListing` (type: `integer`):

How many photo URLs to include per listing (0 = none).

## `deduplicateListings` (type: `boolean`):

Emit each property only once per run (keyed by Rent.com listing id), even across property types and locations.

## `monitorMode` (type: `boolean`):

Remember listings already returned and emit ONLY properties that are new or whose price changed since the last run (tagged with `monitorReason`: new / priceDrop / priceChange). Pairs with Apify Schedules to track a rental market over time.

## `monitorStoreName` (type: `string`):

Named key-value store that holds the 'already seen' listing ids + prices for monitoring mode. Use a different name per tracked market to keep histories separate.

## `maxConcurrency` (type: `integer`):

Maximum parallel requests. Lower it if you hit rate limits on very large runs.

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

Proxy settings. Rent.com rate-limits datacenter IPs, so RESIDENTIAL US proxy is the default and is strongly recommended for reliable runs.

## Actor input object example

```json
{
  "locations": [
    "Austin, TX"
  ],
  "propertyTypes": [
    "apartments"
  ],
  "maxResultsPerSearch": 120,
  "maxResults": 200,
  "petFriendlyOnly": false,
  "availableNowOnly": false,
  "includeListingDetails": false,
  "includeMarketData": false,
  "enrichContactEmails": false,
  "maxPhotosPerListing": 30,
  "deduplicateListings": true,
  "monitorMode": false,
  "monitorStoreName": "rentcom-monitor",
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

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

All scraped records in the default dataset. Each row is tagged with a `type` (listing or market); use the Listings / Leads / Market dataset views to filter the columns.

# 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 = {
    "locations": [
        "Austin, TX"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/rent-com-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 = { "locations": ["Austin, TX"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/rent-com-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 '{
  "locations": [
    "Austin, TX"
  ]
}' |
apify call scrapesage/rent-com-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/I2tmVA5rWiBMDpH37/builds/Rh0cEQTyZ4IXXvAle/openapi.json
