A powerful tool for extracting structured land and property listings from Land.com. It simplifies data collection by gathering prices, acreage, broker details, media, and geographic attributes. Ideal for real estate analysts, investors, and researchers seeking accurate and up-to-date property intelligence.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project automates property data collection from Land.com, capturing detailed listing information at scale. It solves the challenge of manually aggregating real estate data by providing a fast, reliable, and structured extraction workflow. It is designed for analysts, investors, agencies, and anyone who needs accurate insights into land listings across the United States.
- Collects highly detailed listing records across regions and states.
- Tracks property prices, acreage, features, and broker details.
- Retrieves listing status, updates, timestamps, and media.
- Supports custom filters through flexible search URLs.
- Includes stability measures for large-scale extraction tasks.
| Feature | Description |
|---|---|
| Comprehensive Property Extraction | Retrieves detailed information including acreage, price, broker info, property types, and listing metadata. |
| Flexible Search Input | Accepts multiple search URLs, allowing targeted extraction by state, region, or filtered criteria. |
| Pagination Automation | Automatically navigates through paginated results for complete coverage. |
| Proxy & Rate Controls | Supports proxy usage, retry logic, and rate limits for robust scraping performance. |
| Media & Geo Data Capture | Collects image IDs, coordinates, document IDs, and listing-level attributes. |
| Structured Output | Returns clean JSON suitable for analysis, dashboards, or pipelines. |
| Field Name | Field Description |
|---|---|
| id | Unique listing identifier. |
| title | Title of the property listing. |
| price | Listed price in numeric format. |
| priceDisplay | Formatted price text. |
| acres | Total acreage of the property. |
| acresDisplay | Human-readable acreage. |
| city | City where the property is located. |
| county | County or parish of the listing. |
| state | State of the listing. |
| description | Full property description text. |
| brokerName | Name of the property broker or agent. |
| brokerCompany | Broker’s company or agency. |
| canonicalUrl | Direct URL to the property listing. |
| imageCount | Number of property images available. |
| imageIds | Array of image document IDs. |
| latitude | Geographic latitude. |
| longitude | Geographic longitude. |
| propertyTypesLabel | Property type descriptions (e.g., Hunting Land, Timberland). |
| insertDate | When the listing was first inserted. |
| lastUpdated | Last known listing update date. |
| searchUrl | The search URL that produced this record. |
| scrapedAt | Timestamp of extraction. |
[
{
"accountId": 1360034,
"acres": 459,
"acresDisplay": "459 acres",
"address": "Blankston Road Lot# Wp002",
"baths": 5,
"beds": 9,
"brokerCanonicalUrl": "https://www.land.com/member/clint-wood/1360034/",
"brokerCompany": "Whitetail Properties Real Estate",
"brokerName": "Clint Wood",
"canonicalUrl": "https://www.land.com/property/459-acres-in-Caldwell-Parish-Louisiana/22217466/",
"city": "Columbia",
"county": "Caldwell Parish",
"description": "Whether you are looking for a place to take clients on a hunt...",
"imageCount": 141,
"imageIds": [5391072451, 5391072453],
"id": 22217466,
"latitude": 32.2558,
"longitude": -92.1278,
"price": 2750000,
"priceDisplay": "$2,750,000",
"propertyTypesLabel": "Recreational Property, Timberland, Hunting Land",
"state": "Louisiana",
"status": 1,
"title": "Premier Hunting and Recreational Property with Exceptional Amenities",
"zip": "71418",
"searchUrl": "https://www.land.com/Louisiana/all-land/over-100000/",
"scrapedAt": "2025-01-25T02:21:02.170Z"
}
]
Land.com Listing Scraper 🏞️/
├── src/
│ ├── main.py
│ ├── crawler/
│ │ ├── listing_parser.py
│ │ ├── pagination_handler.py
│ │ └── utils_geo.py
│ ├── network/
│ │ ├── request_manager.py
│ │ └── proxy_rotation.py
│ ├── outputs/
│ │ └── dataset_exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Real estate analysts use it to monitor regional land markets, enabling better forecasting and investment decisions.
- Property investors use it to discover new opportunities and compare acreage-to-price ratios for strategic acquisition.
- Marketing agencies use it to profile brokers and listing performance across states.
- Data scientists use it to build land valuation models powered by structured, real-world datasets.
- Research teams use it to analyze agricultural, recreational, and rural development trends.
Q: Can I scrape multiple states or regions at once? Yes. Provide multiple search URLs in the input, each representing any filtered region or property category.
Q: Does it handle dynamic listing updates? Yes. Each record includes timestamps for both insertion and last update to help track changes over time.
Q: Do I need proxies for large-scale runs? They are recommended for high-volume extraction to ensure stability and reduce the risk of blocking.
Q: What output formats are supported? All results are delivered as structured JSON, which can be transformed into CSV, Excel, or integrated into analytics tools.
Primary Metric: Capable of processing 300–500 listings per minute under typical network conditions with paginated navigation. Reliability Metric: Maintains a 98%+ success rate across diverse regions, including high-volume states. Efficiency Metric: Optimized request batching reduces bandwidth usage while preserving full dataset fidelity. Quality Metric: Achieves over 95% field completeness across metadata, geo-coordinates, and broker details, ensuring highly usable datasets.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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