# Swimply Scraper (`dadhalfdev/swimply-scraper`) Actor

Scrape Swimply pool and space listings by place. Returns title, hourly price, rating, guests, location, images, and listing URL — up to 500 results per run.

- **URL**: https://apify.com/dadhalfdev/swimply-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Categories:** Travel, Real estate
- **Features:** Limited permissions
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🏊 Swimply Scraper

Want to find private pools, courts, or unique spaces to rent by the hour? This scraper makes it super easy!

Just **set a place and space type** (e.g. pools near Los Angeles) and the scraper will extract up to 1000 listings from [Swimply](https://swimply.com/), neatly packing hourly pricing, ratings, capacity, location, and images into a CSV or JSON file. No need to paste a search URL.

### 💡 Perfect for...

- **Guests & Planners:** Discover pools, pickleball courts, and mansions near your city for parties or shoots.
- **Hosts & Competitors:** Monitor nearby Swimply inventory, pricing, and ratings.
- **Market Research:** Analyze hourly rental supply by city, space type, guest capacity, and price.
- **Data Analysts:** Export clean structured data for dashboards, maps, and pricing models.
- **🤖 AI Agents:** Power bots and OpenClaw workflows with real-time Swimply listings.
- **📚 RAG Systems:** Feed listing descriptions, amenities, and prices into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🎯 **Structured Inputs:** Pass a place + space type — no URL crafting required.
- 💵 **Hourly Pricing:** Captures list price, discounts, and the best `price_per_hour`.
- ⭐ **Ratings & Capacity:** Includes guest ratings, review counts, and max guests.
- 📍 **Location Ready:** City, state, zip, coordinates, and distance from your search place.
- 🔎 **Optional Deep Dive:** Turn on `enrich_details` for amenities, hours, and sample reviews.

### 📦 What's inside the data?

For every single listing, you will get:

- **Core Details:** `id`, `title`, `url`, `description`, `space_type`
- **Pricing:** `price_per_hour`, `list_price_per_hour`, `discounted_price_per_hour`, `promo_percent`
- **Location:** `city`, `state`, `zip_code`, `country_code`, `latitude`, `longitude`, `distance_miles`
- **Social Proof:** `rating`, `review_count`, `badges`
- **Booking Context:** `max_guests`, `instant_booking`, `next_available_day`
- **Media:** `cover_image_url`, `image_urls`
- **With enrich_details:** `amenities`, `opens`, `closes`, `reviews_sample`

### 🛠️ Space types

Use the `space_type` parameter (exact strings):

- **Pools** – Private pools (default; also covers many hot-tub listings)
- **Tennis**
- **Pickleball**
- **Hoops** – Basketball
- **Pet Parks**
- **Mansions**
- **Discover** – Mixed discovery feed

### 🚀 Quick start

1. **Open the Actor** and set **`place`** (e.g. `Los Angeles, CA`).
2. **Choose `space_type`** (e.g. `Pools`, `Pickleball`, `Mansions`).
3. *(Optional)* Set **`adults`** for pricing context.
4. **Set `max_listings`** (how many results you want, up to 1000).
5. *(Optional)* Enable **`enrich_details`** for amenities, hours, and sample reviews.
6. **Click Start** and let it run! 🏊 Once it's done, export CSV, Excel, or JSON.

***

#### Tech details for developers 🧑‍💻

**Input Example:**

```json
{
  "place": "Los Angeles, CA",
  "space_type": "Pools",
  "adults": 1,
  "max_listings": 100
}
```

**Output Example:**

```json
{
  "id": "61309",
  "url": "https://swimply.com/pooldetails/61309",
  "title": "The Posh Pond and Hot Tub",
  "price_per_hour": 46,
  "list_price_per_hour": 58,
  "discounted_price_per_hour": 46,
  "city": "Burbank",
  "state": "CA",
  "zip_code": "91505",
  "rating": 5,
  "review_count": 122,
  "max_guests": 40,
  "distance_miles": 10.83,
  "space_type": "Pools",
  "cover_image_url": "https://swimply.imgix.net/thumbnails/example.jpg"
}
```

### 📋 Input reference (detailed)

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `place` | string | Yes\* | `Los Angeles, CA` | City or address to search near. Prefer `City, ST` style for US places (`Los Angeles, CA`, `Austin, TX`, `Miami, FL`, `Brooklyn, NY`). Used to geocode the search center. |
| `space_type` | string enum | Yes | `Pools` | Swimply category to search. Exact values: `Pools`, `Tennis`, `Pickleball`, `Hoops`, `Pet Parks`, `Mansions`, `Discover`. Do not invent values — e.g. map “hot tub / spa” to `Pools`. |
| `adults` | integer | No | `1` | Number of guest adults used for search pricing context (`1`–`50`). Does not filter listings by capacity by itself. |
| `max_listings` | integer | Yes | `50` | Maximum listings to return (`1`–`1000`). Start with `10–30` to explore; use `50–200` for broader lists. |
| `enrich_details` | boolean | No | `false` | If `true`, open each listing page for amenities, opening hours, and a small sample of reviews. Slower. |
| `listing_urls` | string\[] | No | — | Optional direct Swimply listing URLs (`https://swimply.com/pooldetails/123`). If provided **without** `place`, only these URLs are scraped. |

\* `place` is required for search mode. It can be omitted when scraping `listing_urls` alone.

#### Notes on inputs

- Enum values for `space_type` are **case-sensitive** — use the exact strings from the table.
- Prices are **per hour** (USD on swimply.com).
- `price_per_hour` is the best available hourly price (discounted when Swimply returns a discount).
- Cite results with `url` + `title` + `price_per_hour`.

### 🔧 Custom scrapers and agents

If you need a custom web scraper, or custom AI agents and workflows, contact me through [tuik.ai](https://www.tuik.ai). We help businesses cut costs and time by up to 10x.

# Actor input Schema

## `place` (type: `string`):

City or address to search near (e.g. Los Angeles, CA). Required for search mode; leave empty if you only provide listing URLs.

## `space_type` (type: `string`):

What kind of space to search (Pools, Tennis, Pickleball, Hoops, Pet Parks, Mansions, or Discover).

## `adults` (type: `integer`):

Number of guest adults for pricing context (does not filter by capacity).

## `max_listings` (type: `integer`):

How many listings to return (1–2000).

## `enrich_details` (type: `boolean`):

Also open each listing page for amenities, hours, and sample reviews (slower).

## `listing_urls` (type: `array`):

Optional direct Swimply listing URLs. If set without a place, only these URLs are scraped.

## Actor input object example

```json
{
  "place": "Los Angeles, CA",
  "space_type": "Pools",
  "adults": 1,
  "max_listings": 50,
  "enrich_details": false
}
```

# Actor output Schema

## `overview` (type: `string`):

Table view of scraped listings using the dataset 'overview' view.

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

All scraped listings from the default dataset without view transformation.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dadhalfdev/swimply-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("dadhalfdev/swimply-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 '{}' |
apify call dadhalfdev/swimply-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/swimply-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/CKetH8935lbarY7OZ/builds/10JpogeXTdEYZjwHl/openapi.json