The Livabl Scraper provides a fast and accurate way to collect structured real estate data from Livabl.com. It captures comprehensive property details, enabling researchers, analysts, and developers to automate data gathering with ease. This scraper helps transform raw listing pages into clean, usable datasets.
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This project automates the extraction of real estate listings and property details from Livabl, allowing users to gather high-quality structured data without manual effort. It solves the challenge of collecting consistent housing market information across multiple listings and pages, making it ideal for analysts, investors, and developers.
- Captures detailed property information from both listing pages and individual property pages.
- Produces structured, machine-readable JSON for seamless downstream use.
- Handles location, pricing, amenities, units, stories, and more with high accuracy.
- Optimized to work with filtered URLs for targeted data collection.
- Designed for reliability even across large-scale extraction tasks.
| Feature | Description |
|---|---|
| Dual Page Scraping | Supports both listing pages and individual property pages for deeper extraction. |
| Comprehensive Data Fields | Collects names, addresses, pricing, amenities, units, developer details, and more. |
| Structured JSON Output | Generates clean and consistent data suitable for analytics pipelines. |
| Flexible Input | Accepts filtered URLs from Livabl for targeted scraping. |
| High Reliability | Maintains strong stability even when processing large volumes of URLs. |
| Field Name | Field Description |
|---|---|
| name | Official property or development name. |
| address | Full street address of the property. |
| developedBy | Developer or builder responsible for the construction. |
| price | Price range or starting price details. |
| amenities | List of amenities offered by the development. |
| units | Total number of units available. |
| stories | Number of floors or building levels. |
| bedrooms | Bedroom range for available units. |
| averageArea | Square footage range. |
| averagePricePerSqft | Price per square foot data if available. |
| buildingType | Classification such as condo, townhome, etc. |
| ownership | Ownership category (e.g., condominium). |
| sellingStatus | Current sales status of the property. |
| constructionStatus | Whether the property is pre-construction, under construction, or completed. |
| phone | Contact phone number if available. |
| description | Full textual summary of the property. |
| propertyUrl | Direct URL to the property page. |
| build | Builder information in simplified format. |
| sqft | Square footage range (alternative field). |
| label | Summary status label. |
[
{
"name": "45 East 7th",
"address": "45 East 7th Street,New York, NY",
"developedBy": "By Nexus Building Development Group",
"price": "Listing status Selling From $1,295,000 to $7,995,000",
"amenities": [
"Bike Storage",
"Landscaped Roof Terrace",
"Garden Terrace",
"Virtual Doorman",
"Cold Storage",
"Communal Laundry",
"Doorman Service",
"Fitness Center"
],
"units": "21",
"stories": "7",
"bedrooms": "1 - 3",
"averageArea": "586 - 2523",
"averagePricePerSqft": "$2210",
"buildingType": "Condo",
"ownership": "Condominium",
"sellingStatus": "Selling",
"constructionStatus": "Complete",
"phone": "347-713-7077",
"description": "45 East 7th is a new condo community by Nexus Building Development Group at 45 East 7th Street, New York."
},
{
"propertyUrl": "https://www.livabl.com/new-york-ny/the-rockwell2",
"name": "The Rockwell",
"price": "From $949,500",
"build": "Condos & Towns by Toll Brothers",
"address": "2815 Broadway, New York, NY",
"bedrooms": "Studio - 3",
"sqft": "635 - 1616",
"summaryline": "",
"label": "Under Construction"
}
]
Livabl Scraper/
├── src/
│ ├── main.js
│ ├── modules/
│ │ ├── listingParser.js
│ │ ├── propertyParser.js
│ │ └── utils.js
│ ├── outputs/
│ │ └── saveResults.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample-input.json
│ └── sample-output.json
├── package.json
└── README.md
- Market analysts use it to examine pricing trends and unit availability, enabling more accurate region-level insights.
- Real estate platforms use it to populate databases with updated listings, improving listing completeness.
- Developers and investors use it to evaluate new construction opportunities for strategic planning.
- Marketing teams use it to extract developer contact information for targeted outreach.
- Competitive intelligence teams use it to monitor offerings and pricing from competing developments.
Q: Can this scraper handle filtered city or neighborhood URLs? Yes. You can paste any filtered Livabl URL, and the scraper will process only listings that match those filters.
Q: Does it support scraping both listing pages and detailed property pages? Absolutely. It is designed to extract high-detail structured data from both page types.
Q: What format does the output come in? The scraper returns structured JSON that can be used directly in dashboards, databases, or analytics pipelines.
Q: Are amenities and pricing fields always included? These fields are extracted whenever they are available on the property page. Missing fields are simply omitted.
- Primary Metric: Processes an average of 40–60 property pages per minute depending on content size.
- Reliability Metric: Maintains over 99% success rate across large batches of URLs.
- Efficiency Metric: Optimized parsing ensures minimal CPU load and consistent throughput.
- Quality Metric: Data completeness averages above 95% across supported property fields, ensuring high-value outputs.
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