# Condos Propertylists Spider (`getdataforme/condos-propertylists-spider`) Actor

The Condos Propertylists Spider efficiently scrapes detailed condo listings from specified URLs, ideal for market analysis and competitive intelligence. It offers scalable performance, customizable inputs, and versatile output formats, ensuring high-quality data extraction for real estate insights.

- **URL**: https://apify.com/getdataforme/condos-propertylists-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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/actors/running/actors-in-store.md#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

## Condos Propertylists Spider

### Introduction

The Condos Propertylists Spider is designed to efficiently scrape and extract detailed property listings from specified URLs, focusing on condos for sale. This actor is ideal for users seeking comprehensive data for market analysis, competitive intelligence, and more.

### Features

- **Efficient Data Extraction**: Quickly gathers detailed property information from specified URLs.
- **High Data Quality**: Ensures accurate and up-to-date listings.
- **Scalable Performance**: Handles multiple URLs simultaneously for broad data coverage.
- **Customizable Input**: Easily configure URLs to target specific data sources.
- **Reliable Operation**: Built to handle large datasets without compromising performance.
- **User-Friendly Interface**: Simple setup and execution process.
- **Versatile Output Formats**: Export data in JSON, CSV, or Excel formats.

### Input Parameters

| Parameter  | Type   | Required | Description                              | Example                                      |
|------------|--------|----------|------------------------------------------|----------------------------------------------|
| InputUrl   | Array  | No       | The input URL for the spider to scrape.  | `["https://condos.ca/toronto/condos-for-sale"]` |

### Example Usage

#### Example Input JSON

```json
{
  "InputUrl": [
    "https://condos.ca/toronto/condos-for-sale"
  ]
}
```

#### Example Output JSON

```json
{// No output available}
```

### Use Cases

- **Market Research and Analysis**: Gather data for real estate trends and insights.
- **Competitive Intelligence**: Monitor competitor listings and pricing strategies.
- **Price Monitoring**: Track changes in condo prices over time.
- **Content Aggregation**: Compile comprehensive property data for websites or apps.
- **Academic Research**: Analyze real estate market dynamics for studies.
- **Business Automation**: Automate data collection for real estate businesses.

### Installation and Usage

```
1. Search for "Condos Propertylists Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)
```

### Output Format

The output data will be structured to include key fields such as property details, pricing, location, and other relevant information. This ensures comprehensive insights for analysis and decision-making.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

# Actor input Schema

## `InputUrl` (type: `array`):

The input url for the spider.

## `itemLimit` (type: `integer`):

Specifies the maximum number of items to process.

## Actor input object example

```json
{
  "InputUrl": [
    "https://condos.ca/toronto/condos-for-sale"
  ],
  "itemLimit": 20
}
```

# 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 = {
    "itemLimit": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/condos-propertylists-spider").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 = { "itemLimit": 20 }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/condos-propertylists-spider").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 '{
  "itemLimit": 20
}' |
apify call getdataforme/condos-propertylists-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/condos-propertylists-spider"
        }
    }
}

```

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/kIc9cFhO9HqsP3XK8/builds/NQDeKKTFE0SbA7hF6/openapi.json