# Land.com Listing Scraper 🏞️ (`easyapi/land-com-listing-scraper`) Actor

Scrape land and property listings from Land.com, including detailed property information, prices, acreage, broker details, and more. Perfect for real estate analysis and market research.

- **URL**: https://apify.com/easyapi/land-com-listing-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Real estate, Integrations
- **Features:** Limited permissions
- **Stats:** 69 total users, 2 monthly users, 100.0% runs succeeded, 4 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Land.com Scraper 🏞️

Powerful scraper for extracting detailed property listings from Land.com, America's leading land marketplace platform.

### 🎯 Use Cases

- Real estate market analysis and research
- Property investment opportunities tracking
- Land price monitoring and comparison
- Broker and agency research
- Agricultural and recreational land market study

### ✨ Features

- **Comprehensive Data Extraction** 📊
  - Property details (price, acreage, location)
  - Property types and characteristics
  - Broker information
  - Images and media counts
  - Listing status and dates
  - Geographic coordinates

- **Flexible Search Options** 🔍
  - Search by state/region
  - Filter by price range
  - Multiple property types
  - Custom search URLs support

- **Advanced Capabilities** 💪
  - Automatic pagination handling
  - Proxy rotation support
  - Rate limiting and retry mechanism
  - Browser fingerprint randomization

### 📋 Output Data Structure

The actor provides detailed property information including:

- Property ID and listing details
- Price and acreage information
- Location data (city, county, state)
- Property characteristics (beds, baths, etc.)
- Broker and company information
- Listing dates and status
- Media information (images, videos)
- Geographic coordinates

### 💡 Tips for Using This Actor

1. **Search URLs**: Use Land.com search URLs with your desired filters
2. **Max Items**: Adjust the maximum number of listings to scrape
3. **Proxy**: Consider using proxies for large-scale scraping

### ⚙️ Input Parameters

- `searchUrls`: Array of Land.com search URLs to scrape
- `maxItems`: Maximum number of items to scrape (default: 50)
- `proxyConfiguration`: Optional proxy settings

### 📝 Notes

- Respect Land.com's terms of service and rate limits
- Consider using proxy for large-scale scraping
- Data updates frequency depends on Land.com's listing updates

#### Input Example

A full explanation of an input example in JSON.

```json
{
    "searchUrls": [
        "https://www.land.com/Louisiana/all-land/over-100000/"
    ],
    "maxItems": 50
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```json
[
    {
        "accountId": 1360034,
        "acres": 459,
        "acresDisplay": "459 acres",
        "adTargetingCountyId": 5996,
        "address": "Blankston Road Lot# Wp002",
        "auctionDate": "0001-01-01T00:00:00",
        "baths": 5,
        "bathsDisplay": "5 baths",
        "bedsDisplay": "9 beds",
        "beds": 9,
        "brokerCanonicalUrl": "https://www.land.com/member/clint-wood/1360034/",
        "brokerCompany": "Whitetail Properties Real Estate",
        "brokerName": "Clint Wood",
        "brokerPhone": null,
        "canonicalUrl": "https://www.land.com/property/459-acres-in-Caldwell-Parish-Louisiana/22217466/",
        "city": "Columbia",
        "cityID": 5548,
        "companyLogoDocumentId": 3769653156,
        "county": "Caldwell Parish",
        "countyId": 5996,
        "countyLabel": "Parish",
        "description": "Whether you are looking for a place to take clients on a hunt they will never forget, or you want to be able to manage your own deer herd, then you need to take a look at this one. The current owner has put a ton of time and money into the genetics o",
        "encodedBoundaryPoints": "32.2558,-92.1278",
        "executiveSummary": null,
        "externalSourceId": null,
        "halfBaths": 2,
        "halfBathsDisplay": null,
        "hasCustomMap": true,
        "hasHouse": true,
        "hasVideo": false,
        "hasVirtualTour": false,
        "homesqft": 0,
        "homesqftDisplay": "",
        "imageAltTextDisplay": "Property for sale in Caldwell Parish, Louisiana",
        "imageCount": 141,
        "imageIds": [
            5391072451,
            5391072453,
            5361435990,
            5361435991,
            5361435994,
            5361435995,
            5361435997,
            5361435998,
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        ],
        "insertDate": "2024-12-18T00:14:11.113",
        "id": 22217466,
        "isALC": false,
        "isDiamond": false,
        "isFirstFreeListing": false,
        "isGold": false,
        "isHeadlineAd": false,
        "isLiked": false,
        "isPlatinum": true,
        "isShowcase": false,
        "lafPropertyId": 36251844,
        "lake": null,
        "lastUpdated": "2025-01-20T23:54:07.303",
        "latitude": 32.2558,
        "listHubListingKey": null,
        "listingLevel": 30,
        "listingLevelTitle": "Signature Partner",
        "longitude": -92.1278,
        "lwPropertyId": 421621964,
        "onMarketDate": "0001-01-01T00:00:00",
        "parentAccountId": 25449,
        "partnerId": 0,
        "portraitDocumentId": 5318887172,
        "price": 2750000,
        "priceChangeAmount": 0,
        "priceChangeDate": "0001-01-01T00:00:00",
        "priceChangePercentage": 0,
        "priceDisplay": "$2,750,000",
        "pricePerAcre": 5991.29,
        "propertyTypes": 148,
        "propertyTypesLabel": "Recreational Property, Timberland, Hunting Land",
        "regionId": 97,
        "salesDate": "0001-01-01T00:00:00",
        "salesPrice": 0,
        "schemaData": "{\"@context\":\"http://schema.org\",\"@type\":\"SingleFamilyResidence\",\"name\":\"Blankston Road Lot# Wp002, Columbia, LA, 71418\",\"description\":\"Whether you are looking for a place to take clients on a hunt they will never forget, or you want to\",\"address\":{\"@type\":\"PostalAddress\",\"streetAddress\":\"Blankston Road Lot# Wp002\",\"addressLocality\":\"Columbia\",\"addressRegion\":\"LA\",\"postalCode\":\"71418\"}}",
        "shortPrice": "$2.8M",
        "siteListingId": 22217466,
        "state": "Louisiana",
        "stateAbbreviation": "LA",
        "stateCode": "LA",
        "stateId": 22,
        "status": 1,
        "thumbnailDocumentId": 5391072451,
        "title": "Premier Hunting and Recreational Property with Exceptional Amenities",
        "types": [
            "Recreational Property",
            "Timberland",
            "Hunting Land"
        ],
        "zip": "71418",
        "searchUrl": "https://www.land.com/Louisiana/all-land/over-100000/",
        "scrapedAt": "2025-01-25T02:21:02.170Z"
    },
    ...
]
```

# Actor input Schema

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

List of Land.com search URLs to scrape

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

Maximum number of items to scrape

## `proxyConfiguration` (type: `object`):

Proxy settings for the scraper

## Actor input object example

```json
{
  "searchUrls": [
    "https://www.land.com/Louisiana/all-land/over-100000/"
  ],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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("easyapi/land-com-listing-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("easyapi/land-com-listing-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 easyapi/land-com-listing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/land-com-listing-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/ycORGdDrDfgYY7RQk/builds/8hi4mWVKUgliLSiJt/openapi.json
