# Landwatch Land Listings Extractor (`kawsar/landwatch-land-listings-extractor`) Actor

LandWatch land listings scraper that turns any LandWatch results URL into structured data with price, acreage, location, agent, and images, so you can research land markets and build buyer lists without copying anything by hand.

- **URL**: https://apify.com/kawsar/landwatch-land-listings-extractor.md
- **Developed by:** [Kawsar](https://apify.com/kawsar) (community)
- **Categories:** Real estate, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 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?

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

## LandWatch Land Listings Extractor

Extract land and rural property listings from any LandWatch results page. Paste a search URL for a city, county, or state and get back every listing as clean, structured data: price, acreage, address, county, agent, brokerage, cover image, and the direct listing link. Pagination is handled for you, so a search that runs across several pages comes back as one dataset.

Use it to build buyer lead lists, track land prices in a region, feed a real estate CRM, or run market research on rural acreage without copying anything by hand.

### What it does

- Reads any LandWatch search or results URL (land for sale, farms and ranches, recreational property, acreage)
- Walks through every results page automatically until it hits your limit
- Pulls structured fields for each listing
- Exports to JSON, CSV, or Excel, and connects to Google Sheets, Make, and Zapier through the Apify API

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchUrls` | array | One or more LandWatch results URLs. Any city, county, or state search works. |
| `maxItems` | integer | Maximum listings to collect across all URLs. Default 100. |
| `requestTimeoutSecs` | integer | Per-request timeout in seconds. Default 45. |

#### Example input

```json
{
    "searchUrls": [
        "https://www.landwatch.com/south-carolina-land-for-sale/gray-court"
    ],
    "maxItems": 100
}
```

You can find a results URL by searching on LandWatch and copying the address bar. A URL like `https://www.landwatch.com/texas-land-for-sale` collects listings across the whole state; a narrower one like `https://www.landwatch.com/south-carolina-land-for-sale/gray-court` collects just that area.

### Output

Each listing is one dataset record:

| Field | Description |
|-------|-------------|
| `listingId` | LandWatch property ID |
| `listingName` | Listing headline |
| `price` | Asking price as a number |
| `currency` | Price currency (USD) |
| `acres` | Lot size in acres |
| `sizeText` | Lot size as shown on the listing |
| `listingStatus` | Sale status when present (for example Pending) |
| `streetAddress` | Street address |
| `city` | City |
| `state` | State |
| `zipCode` | ZIP code |
| `county` | County |
| `country` | Country code |
| `coverImage` | Main listing photo URL |
| `agentName` | Listing agent |
| `agentProfileUrl` | Agent profile link |
| `brokerage` | Brokerage or company |
| `listingDescription` | Listing description text |
| `propertyUrl` | Direct link to the listing |
| `sourceUrl` | The search URL this listing came from |
| `scrapedAt` | Collection timestamp (UTC) |

#### Example output

```json
{
    "listingId": "427466385",
    "listingName": "Gray Court, Laurens County, SC for sale Property ID: 427466385",
    "price": 184999,
    "currency": "USD",
    "acres": 5.08,
    "sizeText": "5.08 acres",
    "listingStatus": null,
    "streetAddress": "00 Cheek Road",
    "city": "Gray Court",
    "state": "SC",
    "zipCode": "29645",
    "county": "Laurens",
    "country": "US",
    "coverImage": "https://assets.landwatch.com/resizedimages/394/0/h/80/1-6343357221",
    "agentName": "Tyler Whims",
    "agentProfileUrl": "https://www.landwatch.com/profile/tyler-whims/3855874",
    "brokerage": "Reedy Property Group",
    "propertyUrl": "https://www.landwatch.com/laurens-county-south-carolina-land-for-sale/pid/427466385",
    "sourceUrl": "https://www.landwatch.com/south-carolina-land-for-sale/gray-court",
    "scrapedAt": "2026-08-27T05:47:54.217915+00:00"
}
```

### Common uses

- Land buyers and investors tracking new listings and price changes in a county
- Agents and brokers building comparables and prospect lists
- Data teams feeding land inventory into a CRM, spreadsheet, or dashboard
- Researchers studying rural land supply and pricing across states

### Tips

- Add several `searchUrls` to cover multiple areas in one run.
- Start with a small `maxItems` to preview the fields, then raise it for a full pull.
- The dataset is available over the Apify API right after the run, so you can wire it into scheduled jobs and other tools.

# Actor input Schema

## `searchUrls` (type: `array`):

One or more LandWatch search or results pages to extract listings from. Paste a full LandWatch results URL for any city, county or state (land for sale, farms and ranches, recreational property, acreage). Pagination is handled automatically.

## `maxItems` (type: `integer`):

Maximum number of property listings to collect across all results URLs.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

## Actor input object example

```json
{
  "searchUrls": [
    "https://www.landwatch.com/south-carolina-land-for-sale/gray-court",
    "https://www.landwatch.com/texas-land-for-sale"
  ],
  "maxItems": 25,
  "requestTimeoutSecs": 45
}
```

# Actor output Schema

## `properties` (type: `string`):

Extracted LandWatch land and rural property listings with prices, acreage, location, agent and images.

# 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 = {
    "searchUrls": [
        "https://www.landwatch.com/south-carolina-land-for-sale/gray-court"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("kawsar/landwatch-land-listings-extractor").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 = { "searchUrls": ["https://www.landwatch.com/south-carolina-land-for-sale/gray-court"] }

# Run the Actor and wait for it to finish
run = client.actor("kawsar/landwatch-land-listings-extractor").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 '{
  "searchUrls": [
    "https://www.landwatch.com/south-carolina-land-for-sale/gray-court"
  ]
}' |
apify call kawsar/landwatch-land-listings-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kawsar/landwatch-land-listings-extractor"
        }
    }
}

```

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/bw2zdKjwZm5iyDVGc/builds/ARbalmWhVAKnP7b2f/openapi.json