Streeteasy Review Scraper

Introduction

The Streeteasy Review Scraper is a powerful Apify Actor designed to extract property listings from StreetEasy, one of New York's leading real estate platforms. It enables users to gather detailed information on available properties, including prices, specifications, and locations, in a structured format. This tool is invaluable for real estate professionals, researchers, and analysts seeking efficient data collection for market insights and decision-making.

Features

• Comprehensive Data Extraction: Scrapes key details such as property titles, addresses, prices, bedroom/bathroom counts, square footage, and direct URLs.
• Flexible Filtering: Supports customization by property type, city, and price range to target specific listings.
• High Reliability: Utilizes residential proxies to avoid detection and ensure consistent data retrieval.
• Scalable Performance: Handles large volumes of data with configurable item limits for efficient processing.
• Structured Output: Delivers clean, JSON-formatted data ready for analysis or integration into other tools.
• User-Friendly Interface: Easy-to-configure inputs via the Apify platform, with no coding required.
• Error-Resilient: Built-in handling for common scraping challenges like rate limits and site changes.

Input Parameters

Parameter	Type	Required	Description	Example
PropertyType	string	No	Specifies the type of property to scrape (e.g., for-sale, for-rent).	"for-sale"
City	string	No	The city or region to focus the search on.	"nyc"
PriceMin	string	No	The minimum price filter for listings.	"500"
PriceMax	string	No	The maximum price filter for listings.	"150000000"
itemLimit	integer	No	Limits the number of items to process to control output size.	10
proxyConfiguration	object	No	Configures proxy settings for anonymous scraping, using Apify's residential proxies by default.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

To run the actor, provide input parameters in JSON format. Here's an example:

{
  "PropertyType": "for-sale",
  "City": "nyc",
  "PriceMin": "500",
  "PriceMax": "150000000",
  "itemLimit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Example output:

[
  {
    "title": "Condo",
    "address": "624 New York Avenue #2B",
    "price": "$795,000",
    "beds": "2 beds",
    "baths": "1 bath",
    "area_sqft": "ft²",
    "url": "https://streeteasy.com/building/calvert-villas/2b?featured=1",
    "image": ""
  }
]

Use Cases

• Market Research and Analysis: Gather data on property trends, pricing, and availability in specific cities.
• Competitive Intelligence: Monitor competitors' listings and pricing strategies.
• Price Monitoring: Track price changes over time for investment opportunities.
• Content Aggregation: Build databases for real estate blogs, apps, or reports.
• Academic Research: Collect data for studies on housing markets and urban development.
• Business Automation: Automate data feeds for CRM systems or real estate dashboards.

Installation and Usage

1. Search for "Streeteasy Review Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
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 data in JSON array format, with each object representing a property listing. Key fields include:

• title: The property type (e.g., "Condo").
• address: Full address of the property.
• price: Listed price.
• beds: Number of bedrooms.
• baths: Number of bathrooms.
• area_sqft: Square footage (may be empty if not available).
• url: Direct link to the listing.
• image: Image URL (may be empty).

This structured format ensures easy parsing and integration.

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!

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