Rentcafe Scraper

Extract structured apartment listing data from RentCafe city and search pages. Collect property names, addresses, rent ranges, bedroom and bathroom ranges, photos, amenities, availability signals, and listing links for rental market research, lead generation, and inventory monitoring.

Features

• Fast listing collection - Collects RentCafe property data without waiting for a browser session.
• Pagination support - Continues across result pages until your requested record count is reached.
• Clean dataset output - Removes null and empty values before saving records.
• Duplicate prevention - Uses property identity and address fields to avoid repeated records.
• Rich property details - Captures pricing text, area ranges, amenities, images, contact details, and source URLs.
• Recovery on failed pages - Skips transient failed pages and continues when later pages are available.

Use Cases

Rental Market Research

Track apartment inventory and rent ranges by city. Compare neighborhoods, estimate available supply, and monitor pricing movement.

Lead List Building

Create property lists with names, addresses, phone numbers, and listing URLs for CRM or spreadsheet workflows.

Competitor Monitoring

Compare advertised rents, bedroom mixes, amenities, and availability signals across target markets.

Data Pipelines

Feed RentCafe listing records into dashboards, reports, and automated alerts.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	https://www.rentcafe.com/apartments-for-rent/new-york-city-ny/	RentCafe city or listing URL to scrape.
url	String or Array	No	-	Optional alternate input for one or more RentCafe URLs.
results_wanted	Integer	No	20	Maximum number of records to save.
max_pages	Integer	No	1	Safety cap for page attempts; the actor may infer more pages when needed to satisfy results_wanted.
proxyConfiguration	Object	No	Apify Proxy Residential	Proxy settings for cloud runs.

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Output Data

Each dataset item can include:

Field	Type	Description
property_name	String	Apartment property name.
property_id	Number	RentCafe property identifier.
property_code	String	Property code when available.
address	String	Street address.
city	String	City.
state	String	State abbreviation.
zip_code	String	Postal code.
full_address	String	Combined address.
phone	String	Contact phone number.
site_url	String	Property website or listing URL.
detail_url	String	RentCafe detail page URL.
latitude	Number	Latitude coordinate.
longitude	Number	Longitude coordinate.
min_bedrooms, max_bedrooms	Number	Bedroom range.
min_bathrooms, max_bathrooms	Number	Bathroom range.
min_rent	Number	Lowest advertised rent when numeric rent is shown.
max_rent	Number	Highest advertised rent when numeric rent is shown.
price_display	String	Original displayed pricing text, such as $2,500 - $3,200 or Ask for pricing.
min_area_sqft, max_area_sqft	Number	Listed area range in square feet.
amenities	Array	Amenities shown for the listing.
image_url	String	Primary property image URL.
image_urls	Array	Additional image URLs.
available_units_count	Number	Available or waitlist count when supplied.
company_name	String	Property management company.
source_page_url	String	RentCafe page that produced the record.
source_api_url	String	Source response marker used for traceability.
scraped_at	String	ISO timestamp for extraction.

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Usage Examples

Basic Extraction

{
  "startUrl": "https://www.rentcafe.com/apartments-for-rent/new-york-city-ny/",
  "results_wanted": 20
}

Larger City Run

{
  "startUrl": "https://www.rentcafe.com/apartments-for-rent/new-york-city-ny/",
  "results_wanted": 200,
  "max_pages": 4
}

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Sample Output

{
  "property_name": "SKY",
  "property_id": 1737527,
  "address": "605 West 42Nd Street",
  "city": "New York",
  "state": "NY",
  "zip_code": "10036",
  "full_address": "605 West 42Nd Street, New York, NY, 10036",
  "phone": "(833) 391-1704",
  "site_url": "https://www.rentcafe.com/apartments/ny/new-york/sky/default.aspx",
  "detail_url": "https://www.rentcafe.com/apartments/ny/new-york/sky/default.aspx",
  "latitude": 40.7615,
  "longitude": -73.9986,
  "min_bedrooms": 0,
  "max_bedrooms": 3,
  "min_rent": 4091,
  "max_rent": 8455,
  "price_display": "$4,091 - $8,455",
  "amenities": ["Washer/Dryer", "Patio/Balcony", "Garage"],
  "image_url": "https://cdngeneral.rentcafe.com/dmslivecafe/example.jpg",
  "source_page_url": "https://www.rentcafe.com/apartments-for-rent/new-york-city-ny/",
  "scraped_at": "2026-07-04T11:58:58.049Z"
}

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Tips for Best Results

Use Valid RentCafe URLs

• Start with city result pages from RentCafe.
• Test one market before running many URLs.

Choose Practical Result Counts

• Use 20 for quick checks.
• Increase results_wanted for production collection.

Review Pricing Fields

• Numeric rent fields are included only when RentCafe shows numeric prices.
• Use price_display when a listing says Ask for pricing.

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Integrations

Connect extracted data with:

• Google Sheets - Review listings in a spreadsheet.
• Airtable - Build a searchable rental inventory table.
• Make - Send records into automated workflows.
• Zapier - Trigger updates in business apps.
• Webhooks - Deliver records to your own endpoint.

Export Formats

• JSON - For developers and automation.
• CSV - For spreadsheet analysis.
• Excel - For business reporting.
• XML - For legacy workflows.

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Frequently Asked Questions

Can I collect more than one page?

Yes. Set results_wanted high enough and the actor will continue through pagination.

Why are some numeric rent fields missing?

Some listings show Ask for pricing instead of a number. In those cases, the text is retained in price_display.

Does the actor remove duplicate listings?

Yes. It deduplicates records using property identity and address values.

Does it save null values?

No. Empty and null fields are removed from saved records.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection and analytics workflows. You are responsible for complying with applicable laws, website terms, and data usage policies.