# Apartment List Scraper (`epctex/apartmentlist-scraper`) Actor
A powerful web scraper that is designed to extract data from ApartmentList.com
- **URL**: https://apify.com/epctex/apartmentlist-scraper.md
- **Developed by:** [epctex](https://apify.com/epctex) (community)
- **Categories:** Real estate
- **Stats:** 50 total users, 0 monthly users, 100.0% runs succeeded, 10 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
$30.00/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/platform/actors/running/actors-in-store#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
## Actor - Apartment List Scraper
### Apartment List scraper
ApartmentList.com is a popular online platform that connects renters with apartments across the United States. It offers a wide range of rental listings, helping individuals find their ideal living space based on their preferences and requirements. From spacious studios to luxurious penthouses, ApartmentList.com features listings from various property owners and management companies.
With its extensive database, ApartmentList.com provides detailed information about each apartment, including rental prices, amenities, location, and more. However, accessing this data programmatically can be challenging, as the platform does not offer a dedicated API for developers to retrieve information efficiently.
That's where our ApartmentList.com scraper comes in. This powerful tool is designed to extract data from ApartmentList.com, enabling you to gather the information you need for your specific purposes. Whether you're a real estate professional, a researcher, or someone searching for an apartment, this scraper simplifies the process of accessing and organizing apartment listings from ApartmentList.com.
The Apartment List data scraper supports the following features:
- Scrape lists - Scrape any list that you'd like to get from Apartments List
- Scrape property details - Scrape very detailed information for each of the properties that you'd like to get.
### Bugs, fixes, updates, and changelog
This scraper is under active development. If you have any feature requests you can create an issue from [here](https://github.com/epctex-support/apartmentlist-scraper/issues).
### Input Parameters
The input of this scraper should be JSON containing the list of pages on Apartment List that should be visited. Required fields are:
- `startUrls`: (Optional) (Array) List of Apartment List URLs. You should only provide a news list, jobs list, or detailed URLs.
- `endPage`: (Optional) (Number) Final number of page that you want to scrape. The default is `Infinite`. This applies to all `search` requests and `startUrls` individually.
- `maxItems`: (Optional) (Number) You can limit scraped items. This should be useful when you search through the big lists or search results.
- `proxy`: (Required) (Proxy Object) Proxy configuration.
- `extendOutputFunction`: (Optional) (String) Function that takes a JQuery handle ($) as an argument and returns an object with data.
- `customMapFunction`: (Optional) (String) Function that takes each object's handle as an argument and returns the object with executing the function.
This solution requires the use of **Proxy servers**, either your own proxy servers or you can use [Apify Proxy](https://www.apify.com/docs/proxy).
#### Tip
When you want to scrape over a specific list URL, just copy and paste the link as one of the **startUrl**.
If you would like to scrape only the first page of a list then put the link for the page and have the `endPage` as 1.
With the last approach that is explained above you can also fetch any interval of pages. If you provide the 5th page of a list and define the `endPage` parameter as 6 then you'll have the 5th and 6th pages only.
#### Compute Unit Consumption
The actor is optimized to run blazing fast and scrape as many items as possible. Therefore, it forefronts all the detailed requests. If the actor doesn't block very often it'll scrape 100 listings in 4 minutes with ~0.01-0.03 compute units.
#### Apartment List Scraper Input example
```json
{
"startUrls": [
"https://www.apartmentlist.com/tx/frisco/the-commons-of-chapel-creek",
"https://www.apartmentlist.com/tx/frisco/villas-of-chapel-creek",
"https://www.apartmentlist.com/tx/frisco/legends-at-legacy--1",
"https://www.apartmentlist.com/tx/frisco/the-kathryn",
"https://www.apartmentlist.com/tx/frisco/jefferson-at-the-grove",
"https://www.apartmentlist.com/tx/frisco/sorrel-phillips-creek-ranch",
"https://www.apartmentlist.com/tx/frisco"
],
"proxy": {
"useApifyProxy": true
},
"endPage": 5,
"maxItems": 20
}
```
### During the Run
During the run, the actor will output messages letting you know what is going on. Each message always contains a short label specifying which page from the provided list is currently specified.
When items are loaded from the page, you should see a message about this event with a loaded item count and total item count for each page.
If you provide incorrect input to the actor, it will immediately stop with a failure state and output an explanation of what is wrong.
### Apartment List Export
During the run, the actor stores results into a dataset. Each item is a separate item in the dataset.
You can manage the results in any language (Python, PHP, Node JS/NPM). See the FAQ or our API reference to learn more about getting results from this Apartment List actor.
### Scraped Apartment List Properties
The structure of each item in Apartment List looks like this:
#### Property Detail
```json
{
"url": "https://www.apartmentlist.com/co/denver/zia-sunnyside",
"type": "Property",
"photos": [
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"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/3b913b788940e3b75240d394402b773a.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/633b39d601c3da70e595d153d6cfd1d9.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/6d72f699f51db2dbb9375b5c6ee463dc.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/aa5f03b5012ce89ebb42ee00cc425f0d.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/7a2b4f1a98f869eb2191e9be5734034d.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/e0463c236069d1a6bb4501f3da0a1a87.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/1dfc17f52f35099934b348479a319205.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/9d982e406bbd2c48c936254d585bf9b6.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/f927e853a46bbed00ae370eebd534eec.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/01bc696248f0aba4842dd0e4030a65f6.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/419725ccbcee9845157d1cc52f7608af.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/cf45cc4dd15830f91b4af9e735a5e4c4.jpg",
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"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/a6c5874038819246844384df6735e56c.jpg",
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"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/08ccc8640beaad69279e988b2494c312.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/dc5040aaf64b00582ece10694a689d68.jpg",
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"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/4c76022fc8d7764fcf1033cc4d6f6e6b.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/9f3cd004a578d1fe1f04778b7f0c3821.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/20105cbc8daffae866bd67f0c9f79052.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/e0c42d4161e2de6756b78c53d08e41e8.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/746433859cc98b0374848f1ae3d317ca.jpg",
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/59654d48293640625f31a7ddea016421.jpg",
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],
"scrapedAt": "2023-06-20T22:35:51.036Z",
"updatedAt": "2023-06-20T22:34:09.698Z",
"coordinates": {
"latitude": 39.772577,
"longitude": -104.9984979
},
"propertyName": "Zia Sunnyside",
"description": "Where being home can feel like being on vacation. Zia Sunnyside is an urban dweller's paradise. From co-working spaces to a spa, from fitness classes to a firepit. Everything you need right outside your front door. Conveniently located steps from the 41st & Fox commuter rail station, residents will be one stop away from Union Staion and all of Denver. At Zia Sunnyside, life is brighter!",
"depositFee": "No deposit required with approved credit.",
"isActive": true,
"additionalFees": "$10 Pest Control; $15 Trash Removal; $50 Basic Internet",
"applicationFee": "$19.45 per applicant",
"isAdvertisable": true,
"leaseTerms": "6-15 months",
"moveInFees": null,
"parkingDetails": null,
"id": "p37540959",
"rentalType": "apartment",
"storageDetails": null,
"availabilityLastChecked": "2023-06-20T22:22:18.176Z",
"location": {
"fullAddress": "4055 Inca Street, Denver, CO 80211",
"state": "CO",
"city": "Denver",
"postalCode": "80211",
"streedAddress": "4055 Inca Street",
"streetAddress": "4055 Inca Street"
},
"amenities": [
"Dogs allowed",
"Pet friendly",
"Clubhouse",
"Courtyard",
"Elevator",
"Fire pit",
"24hr gym",
"Green community",
"Parking",
"Pool",
"Bbq/grill",
"Bike storage",
"Garage",
"Guest suite",
"Hot tub",
"Package receiving",
"Cats allowed",
"Accessible",
"24hr maintenance",
"Business center",
"Car charging",
"CC payments",
"Conference room",
"E-payments",
"Game room",
"Guest parking",
"Internet cafe",
"Key fob access",
"Lobby",
"Media room",
"Online portal",
"Smoke-free community",
"Trash valet",
"Yoga",
"Air conditioning",
"Carpet",
"Dishwasher",
"Extra storage",
"Garbage disposal",
"In unit laundry",
"Microwave",
"Patio / balcony",
"Refrigerator",
"Stainless steel",
"Furnished",
"Hardwood floors",
"Bathtub",
"Ice maker",
"Oven",
"Range",
"Smoke-free units",
"Walk in closets"
],
"schools": [
{
"type": "public",
"name": "Trevista Ece-8 At Horace Mann",
"grades": "PK-5",
"numberOfStudents": 351,
"rating": "3/10",
"distance": 0.261754974268955
},
{
"type": "public",
"name": "Bryant Webster K-8 School",
"grades": "PK-8",
"numberOfStudents": 425,
"rating": "5/10",
"distance": 0.6358336137360657
},
{
"type": "public",
"name": "Garden Place Elementary School",
"grades": "PK-6",
"numberOfStudents": 376,
"rating": "5/10",
"distance": 0.7194944774565972
},
{
"type": "charter",
"name": "STRIVE Prep - Sunnyside Campus",
"grades": "6-8",
"numberOfStudents": 264,
"rating": "3/10",
"distance": 0.7958826199560068
},
{
"type": "public",
"name": "Academia Ana Marie Sandoval",
"grades": "PK-6",
"numberOfStudents": 420,
"rating": "5/10",
"distance": 0.9512246862254092
},
{
"type": "public",
"name": "Columbian Elementary School",
"grades": "PK-5",
"numberOfStudents": 268,
"rating": "2/10",
"distance": 1.3284801057141438
},
{
"type": "charter",
"name": "University Preparatory School",
"grades": "K-5",
"numberOfStudents": 346,
"rating": "6/10",
"distance": 1.3351755417189657
},
{
"type": "charter",
"name": "Academy Of Urban Learning",
"grades": "9-12",
"numberOfStudents": 108,
"rating": "1/10",
"distance": 1.3716209207004113
},
{
"type": "public",
"name": "Beach Court Elementary School",
"grades": "PK-5",
"numberOfStudents": 263,
"rating": "4/10",
"distance": 1.392346653000609
},
{
"type": "public",
"name": "Valdez Elementary School",
"grades": "PK-5",
"numberOfStudents": 406,
"rating": "6/10",
"distance": 1.404318796357513
},
{
"type": "charter",
"name": "Strive Prep - Excel",
"grades": "9-12",
"numberOfStudents": 317,
"rating": "4/10",
"distance": 1.5173125059713921
},
{
"type": "public",
"name": "North High School",
"grades": "9-12",
"numberOfStudents": 1115,
"rating": "3/10",
"distance": 1.5173125059713921
},
{
"type": "charter",
"name": "Wyatt Academy",
"grades": "K-5",
"numberOfStudents": 260,
"rating": "7/10",
"distance": 1.6711236558837785
},
{
"type": "charter",
"name": "Dsst: Cole High School",
"grades": "9-12",
"numberOfStudents": 397,
"rating": "5/10",
"distance": 1.6963235744155991
},
{
"type": "public",
"name": "Cole Arts And Science Academy",
"grades": "PK-5",
"numberOfStudents": 477,
"rating": "2/10",
"distance": 1.6963235744155991
},
{
"type": "public",
"name": "Fred N Thomas Career Education Center",
"grades": "9-12",
"numberOfStudents": 472,
"rating": "4/10",
"distance": 1.7339383194787927
},
{
"type": "public",
"name": "Skinner Middle School",
"grades": "6-8",
"numberOfStudents": 608,
"rating": "6/10",
"distance": 1.7494654318851206
},
{
"type": "charter",
"name": "The Boys School Of Denver",
"grades": "6",
"numberOfStudents": 87,
"rating": "4/10",
"distance": 1.776143431630358
},
{
"type": "public",
"name": "Polaris at Ebert Elementary School",
"grades": "1-5",
"numberOfStudents": 334,
"rating": "9/10",
"distance": 1.7947729056942598
},
{
"type": "public",
"name": "Whittier K-8 School",
"grades": "PK-8",
"numberOfStudents": 288,
"rating": "4/10",
"distance": 1.9270033921856167
},
{
"type": "public",
"name": "Manual High School",
"grades": "9-12",
"numberOfStudents": 309,
"rating": "2/10",
"distance": 1.968919592466477
},
{
"type": "charter",
"name": "Downtown Denver Expeditionary School",
"grades": "K-5",
"numberOfStudents": 405,
"rating": "5/10",
"distance": 1.9732649557582613
},
{
"type": "public",
"name": "Harrington Elementary School",
"grades": "PK-5",
"numberOfStudents": 289,
"rating": "4/10",
"distance": 2.1408492397069607
},
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"sqft": 582,
"unitRentalId": "p37540959-C-0A-1121",
"updatedAt": "2023-06-19T13:49:07Z",
"applyOnlineUrl": "http://liveziadenver.securecafe.com/onlineleasing/zia/oleapplication.aspx?stepname=RentalOptions&UnitID=26176442&myOlePropertyId=1231141&floorPlans=3451853&src=21&rcstdid=MTQ%3d-pGJGpRzZiM8%3d"
},
{
"bath": 2,
"bed": 2,
"photos": [
"https://res.cloudinary.com/apartmentlist/image/upload/c_fill,dpr_auto,f_auto,g_center,h_830,q_auto,w_1280/2f6dd2ebebee45809e8b373ddfa39327.jpg"
],
"availability": "available",
"availableOn": "2023-08-23",
"id": 27495105,
"name": "1701",
"price": 3030,
"priceMax": 0,
"remoteListingId": "C-2F-1701",
"sqft": 997,
"unitRentalId": "p37540959-C-2F-1701",
"updatedAt": "2023-06-20T13:32:07Z",
"applyOnlineUrl": "http://liveziadenver.securecafe.com/onlineleasing/zia/oleapplication.aspx?stepname=RentalOptions&UnitID=26176523&myOlePropertyId=1231141&floorPlans=3451861&src=21&rcstdid=MTQ%3d-pGJGpRzZiM8%3d"
}
]
}
```
### Contact
Please visit us through [epctex.com](https://epctex.com) to see all the products that are available for you. If you are looking for any custom integration or so, please reach out to us through the chat box in [epctex.com](https://epctex.com). In need of support? is at your service.
# Actor input Schema
## `startUrls` (type: `array`):
URLs to start with. It should be list or detail URL
## `maxItems` (type: `integer`):
Maximum number of listing items that you want as output. Default is all
## `endPage` (type: `integer`):
The page number that you want to end with. By default there is no end page. This is applies to all search request and startUrls individually.
## `extendOutputFunction` (type: `string`):
Function that takes a JQuery handle ($) as argument and returns data that will be merged with the default output
## `customMapFunction` (type: `string`):
Function that takes each of the objects as argument and returns data that will be mapped by the function itself.
## `proxy` (type: `object`):
Select proxies to be used by your crawler.
## Actor input object example
```json
{
"startUrls": [
"https://www.apartmentlist.com/tx/frisco/the-commons-of-chapel-creek",
"https://www.apartmentlist.com/tx/frisco/villas-of-chapel-creek",
"https://www.apartmentlist.com/tx/frisco/legends-at-legacy--1",
"https://www.apartmentlist.com/tx/frisco/the-kathryn",
"https://www.apartmentlist.com/tx/frisco/jefferson-at-the-grove",
"https://www.apartmentlist.com/tx/frisco/sorrel-phillips-creek-ranch",
"https://www.apartmentlist.com/tx/frisco"
],
"maxItems": 20,
"endPage": 1,
"extendOutputFunction": "($) => { return {} }",
"customMapFunction": "(object) => { return {...object} }",
"proxy": {
"useApifyProxy": true
}
}
```
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
"https://www.apartmentlist.com/tx/frisco/the-commons-of-chapel-creek",
"https://www.apartmentlist.com/tx/frisco/villas-of-chapel-creek",
"https://www.apartmentlist.com/tx/frisco/legends-at-legacy--1",
"https://www.apartmentlist.com/tx/frisco/the-kathryn",
"https://www.apartmentlist.com/tx/frisco/jefferson-at-the-grove",
"https://www.apartmentlist.com/tx/frisco/sorrel-phillips-creek-ranch",
"https://www.apartmentlist.com/tx/frisco"
],
"maxItems": 20,
"endPage": 1,
"extendOutputFunction": ($) => { return {} },
"customMapFunction": (object) => { return {...object} },
"proxy": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("epctex/apartmentlist-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/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"startUrls": [
"https://www.apartmentlist.com/tx/frisco/the-commons-of-chapel-creek",
"https://www.apartmentlist.com/tx/frisco/villas-of-chapel-creek",
"https://www.apartmentlist.com/tx/frisco/legends-at-legacy--1",
"https://www.apartmentlist.com/tx/frisco/the-kathryn",
"https://www.apartmentlist.com/tx/frisco/jefferson-at-the-grove",
"https://www.apartmentlist.com/tx/frisco/sorrel-phillips-creek-ranch",
"https://www.apartmentlist.com/tx/frisco",
],
"maxItems": 20,
"endPage": 1,
"extendOutputFunction": "($) => { return {} }",
"customMapFunction": "(object) => { return {...object} }",
"proxy": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("epctex/apartmentlist-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 '{
"startUrls": [
"https://www.apartmentlist.com/tx/frisco/the-commons-of-chapel-creek",
"https://www.apartmentlist.com/tx/frisco/villas-of-chapel-creek",
"https://www.apartmentlist.com/tx/frisco/legends-at-legacy--1",
"https://www.apartmentlist.com/tx/frisco/the-kathryn",
"https://www.apartmentlist.com/tx/frisco/jefferson-at-the-grove",
"https://www.apartmentlist.com/tx/frisco/sorrel-phillips-creek-ranch",
"https://www.apartmentlist.com/tx/frisco"
],
"maxItems": 20,
"endPage": 1,
"extendOutputFunction": "($) => { return {} }",
"customMapFunction": "(object) => { return {...object} }",
"proxy": {
"useApifyProxy": true
}
}' |
apify call epctex/apartmentlist-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=epctex/apartmentlist-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/rcYy6tgVjoEsFgj0O/builds/buEMNblgC2Hh99uYC/openapi.json