# Junk Mail Real Estate Scraper (`dadhalfdev/junkmail-real-estate-scraper`) Actor

Scrape property ads from Junk Mail. Use the same listing filters as the site or paste a URL — the URL wins when set.

- **URL**: https://apify.com/dadhalfdev/junkmail-real-estate-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Stats:** 2 total users, 1 monthly users, 96.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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

## 🏠 Junk Mail Real Estate Scraper

Want property ads from [Junk Mail](https://www.junkmail.co.za/property) in a spreadsheet? This scraper makes it easy.

Use **structured filters** — better for AI agents — **or** paste an **`input_url`**. When `input_url` is set it overrides the filters.

This actor stays on property shelves that share the same fields (price, property type, bedrooms, area). It returns up to 2000 rows per run.

### 💡 Perfect for...

- **Agencies:** Export Junk Mail houses, flats, farms, and land.
- **Dashboards:** Track asking prices and bedroom counts without paging the site.
- **Market research:** Slice property by type, province, bedrooms, or price.
- **Data analysts:** Export structured rows with public advert URLs.
- **🤖 AI Agents:** Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live Junk Mail property results.
- **📚 RAG Systems:** Feed titles, locations, and prices into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🔗 **Input URL or Filters:** Paste a Junk Mail search or advert URL, or pick the same filters as the site. `input_url` always wins when set.
- 🎯 **Website-Matched Filters:** Keyword, property type, province, price, bedrooms, bathrooms, and sort.
- 🌐 **Full ads:** Property type, bedrooms, bathrooms, land area, photos, seller, and description.

### 📦 What's inside the data?

`id`, `url`, `title`, `price`, `price_text`, `currency`, `location`, `posted`, `image`, `images`, `description`, `seller`, `listing_type`, `condition`, `shelf`, `property_type`, `bedrooms`, `bathrooms`, `land_area_m2`, `floor_area_m2`, `furnished`, `pets_allowed`, `ad_code`

### 🚀 Quick start

**Option A:** paste `https://www.junkmail.co.za/property`.
**Option B:** pick a property type, bedroom count, or other filter and set `max_results`.

**Input Example (filters):**

```json
{
  "category": "residential-properties",
  "location": "gauteng",
  "bedrooms": "3",
  "price_max": 15000,
  "max_results": 100
}
```

**Input Example (URL):**

```json
{
  "input_url": "https://www.junkmail.co.za/property/residential-properties/houses",
  "max_results": 100
}
```

**Output Example:**

```json
{
  "id": "c7ea2738b21645cc929c2a0bf2874bee",
  "url": "https://www.junkmail.co.za/property/residential-properties/gauteng/pretoria/moot/3-beds-1-bath-house-to-rent/c7ea2738b21645cc929c2a0bf2874bee",
  "title": "3 Beds 1 Bath House to Rent",
  "price": 12500,
  "currency": "ZAR",
  "location": "Gauteng - Pretoria",
  "property_type": "Property - Residential Properties - Houses",
  "bedrooms": 3,
  "bathrooms": 1,
  "land_area_m2": 500,
  "image": "https://junkmailimages.blob.core.windows.net/large/example.jpg"
}
```

**Output fields:**

| Field | Description |
|-------|-------------|
| `id` | Advert id. |
| `url` | Public advert page. |
| `title` | Advert title. |
| `price` | Price in rand when shown. |
| `currency` | Always `ZAR`. |
| `property_type` | Property type from the advert. |
| `bedrooms` | Bedroom count when shown. |
| `bathrooms` | Bathroom count when shown. |
| `land_area_m2` | Stand or erf size in square metres when shown. |
| `image` | Photo that opens as an image. |

### 📋 Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `input_url` | string | No | — | Junk Mail search, category, or advert URL. Overrides every filter. |
| `query` | string | No | — | Same as the site search box. |
| `category` | dropdown | No | All property | Residential, commercial, farms, land, holiday, or shared accommodation. |
| `location` | dropdown | No | South Africa | Province. |
| `bedrooms` | dropdown | No | any | Minimum bedrooms (1+ through 5+). |
| `bathrooms` | dropdown | No | any | Minimum bathrooms (1+ through 3+). |
| `price_min` | integer | No | — | Lowest price in rand. |
| `price_max` | integer | No | — | Highest price in rand. |
| `sort` | dropdown | No | Site default | Latest ads, or price low to high / high to low. |
| `max_results` | integer | No | `50` | Maximum rows (`1`–`2000`). |

### 🔧 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

## `input_url` (type: `string`):

Paste a Junk Mail search, category, or advert URL. Overrides every filter when set.

## `query` (type: `string`):

Same as the Junk Mail search box. Optional.

## `category` (type: `string`):

All property, or a property type such as residential, commercial, farms, or land.

## `location` (type: `string`):

Province, same list as the site.

## `bedrooms` (type: `string`):

Minimum bedrooms, same steps as the site (1+ through 5+).

## `bathrooms` (type: `string`):

Minimum bathrooms, same steps as the site.

## `sort` (type: `string`):

Latest ads, or price low to high / high to low.

## `price_min` (type: `integer`):

Lowest price in Rand. Optional.

## `price_max` (type: `integer`):

Highest price in Rand. Optional.

## `max_results` (type: `integer`):

Maximum rows to return (1–2000).

## Actor input object example

```json
{
  "category": "property",
  "location": "",
  "bedrooms": "",
  "bathrooms": "",
  "sort": "",
  "max_results": 50
}
```

# Actor output Schema

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

Table view of scraped adverts using the dataset overview.

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

All scraped adverts from the default dataset.

# 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/junkmail-real-estate-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/junkmail-real-estate-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/junkmail-real-estate-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/junkmail-real-estate-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/toRpA6w12KQBFwEKy/builds/teELWcYWJOfmRHkkt/openapi.json
