Streeteasy Product Scraper

The Streeteasy Product Scraper is an Apify Actor designed to extract comprehensive real estate listing data from StreetEasy, a popular platform for New York City and surrounding areas. It automates the collection of property details such as prices, locations, bedroom counts, and more, enabling users to gather structured data for analysis without manual effort. This tool is ideal for real estate professionals, researchers, and businesses seeking reliable, up-to-date market insights.

Features

• Comprehensive Data Extraction: Scrapes detailed property information including IDs, prices, locations, bedroom/bathroom counts, building types, and media keys.
• High Reliability: Built with robust error handling to ensure consistent data retrieval from StreetEasy's dynamic listings.
• Structured JSON Output: Delivers clean, machine-readable data in JSON format, ready for integration into databases or analysis tools.
• No Input Parameters Required: Simple to run with no configuration needed, making it accessible for users of all technical levels.
• Fast and Efficient: Optimized for performance, handling multiple listings quickly while respecting website limits.
• Geospatial Data: Includes latitude and longitude for mapping and location-based analysis.
• Flexible Export Options: Supports exporting results in JSON, CSV, or Excel formats directly from Apify.

Input Parameters

This Actor does not require any input parameters. Simply run it to scrape the latest available listings from StreetEasy.

Parameter	Type	Required	Description	Example
(None)	N/A	N/A	No parameters needed.	N/A

Example Usage

To run the Actor, provide an empty input object if using the API, or start it directly in the Apify console.

Example Input JSON:

{}

Example Output JSON:

[
  {
    "id": "1806976",
    "advertised_on_se": false,
    "area_name": "North Bergen",
    "bedroom_count": 3,
    "building_type": "CONDO",
    "full_bathroom_count": 3,
    "furnished": false,
    "latitude": 40.7988,
    "longitude": -73.995,
    "has_signature_enabled": false,
    "off_market_at": null,
    "lead_media_photo_key": "c8d3d4fc6057e9ce5124acba9240d61e",
    "price": 1375000,
    "sale_type": "UNKNOWN",
    "source_group_label": "RE/MAX SELECT",
    "street": "8100 River Road",
    "unit": "1011",
    "url_path": "https://streeteasy.com/building/the-watermark/1011"
  }
]

Use Cases

• Market Research and Analysis: Analyze trends in property prices, availability, and features across neighborhoods.
• Competitive Intelligence: Monitor competitor listings and pricing strategies for real estate agencies.
• Price Monitoring: Track price changes for specific properties or areas to inform investment decisions.
• Content Aggregation: Collect data for blogs, reports, or apps focused on real estate news.
• Academic Research: Gather datasets for studies on urban housing markets and demographics.
• Business Automation: Integrate scraped data into CRM systems or automated reporting tools for streamlined workflows.

Installation and Usage

1. Search for "Streeteasy Product Scraper" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters (none required)
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs an array of JSON objects, each representing a scraped property listing. Key fields include:

• id: Unique identifier for the listing.
• advertised_on_se: Boolean indicating if advertised on StreetEasy.
• area_name: Neighborhood or area name.
• bedroom_count: Number of bedrooms.
• building_type: Type of building (e.g., CONDO).
• full_bathroom_count: Number of full bathrooms.
• furnished: Boolean for furnished status.
• latitude and longitude: Geographic coordinates.
• price: Listing price in USD.
• street, unit: Address details.
• url_path: Direct link to the listing.

Data is reliable but may vary based on StreetEasy's updates. Handle null values (e.g., off_market_at) appropriately in your applications.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!