RentHop Scraper [Only $3.5💰] | NYC Rentals | Broker Data

RentHop Scraper

Scrape rental listings from RentHop, New York City's rental marketplace, for apartment market research and broker lead generation: rent, bedrooms and bathrooms, square footage, street address and unit, neighborhood and ZIP, coordinates, the no-fee flag, listing tags, broker name and phone, all listing photos and the full description.

Use it to turn public RentHop search and rental listing pages into structured NYC rental records for market research, rent comps and broker lead generation.

Main Use Cases

• NYC apartment market research and rent-price tracking
• Broker and agent lead generation with names, phones and listing portfolios
• Building structured rental databases by neighborhood, ZIP and bedroom count
• No-fee apartment discovery and rent analysis
• Rental listing monitoring and price-change tracking over time
• Data for proptech, rental-yield and tenant-facing products

How It Works

Looking for a reliable RentHop scraper or a practical RentHop API alternative? Paste a RentHop search URL and get structured NYC rental records for rent comparables, no-fee apartment research and broker lead generation. Each record includes monthly rent, bedrooms, bathrooms, square footage, address and unit, neighborhood, ZIP, coordinates, no-fee flag, broker name and profile, photos and listing URL.

Use the dataset to track rents by neighborhood, find no-fee inventory, compare broker activity, or feed rental dashboards and tenant-facing products. Export as JSON, CSV or Excel, or pull results through the Apify API. Start with a small run, then pay from $3.50 per 1,000 results.

Extract RentHop Rental Listings Without An Official API

RentHop does not publish a developer API. This actor reads the same public search and listing pages a visitor sees:

• Start from any RentHop search URL (for example 2-bedroom apartments in New York) or a direct listing URL.
• Return rent, address, ZIP, bedrooms, bathrooms, square footage and coordinates from a single search-page request.
• Optionally enrich each listing with the exact address and unit, the full description, all photos and the broker's phone number.
• Cap the run with maxListings; the actor raises the page count on its own whenever more pages are needed.

Research RentHop Broker And No-Fee Data

With detail enrichment on, each row carries the broker name, the broker phone number (brokers write it into the listing description, so it arrives with the same request) and the broker profile URL, plus the no-fee flag and listing tags. This is the dataset for broker lead generation, portfolio analysis and no-fee apartment research.

Input Parameters

Field	Type	Required	Default	Notes
startUrls	array	No	https://www.renthop.com/apartments-for-rent/new-york-ny/2-bedroom	RentHop search or listing URLs.
maxListings	integer	No	30	Hard cap on returned listings. Free users are capped at 10.
maxPagesPerSearch	integer	No	1	Result pages per search URL (about 15 unique listings per page). A floor, not a ceiling: the actor raises it when maxListings needs more pages.
enrichDetails	boolean	No	false	Fetch each listing page for full details, photos and description.
maxConcurrency	integer	No	5	Parallel fetches; keep it at or above maxPagesPerSearch.
requestDelayMs	integer	No	derived	Leave unset: the actor derives the gap from the measured RentHop limit and adapts it.
proxy	object	No	Apify Proxy on (RESIDENTIAL, US)	Recommended for reliable detail enrichment.

Output Fields

One item per listing:

• marketplace, listingId, url: marketplace name, listing ID and listing URL.
• address, unit, neighborhood, zip, city, state: location fields.
• monthlyRent, bedrooms, bedroomsLabel, bathrooms, squareFeet: rent and size.
• latitude, longitude: geo-coordinates.
• noFee, tags: no-fee flag and listing tags.
• brokerName, brokerPhone, brokerProfileUrl: broker contact details.
• thumbnail, photos: image URLs.
• description, postedAt, scrapedAt: description, posted date and scrape timestamp.

Dataset view: overview.

Example Input And Output

Example input:

{
  "startUrls": [{ "url": "https://www.renthop.com/apartments-for-rent/brooklyn-new-york-ny/1-bedroom" }],
  "maxListings": 100,
  "enrichDetails": true,
  "maxConcurrency": 5,
  "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" }
}

Example output row:

{
  "marketplace": "RentHop",
  "listingId": "77274625",
  "url": "https://www.renthop.com/listings/fulton-street/77274625",
  "address": "100 Fulton Street, New York, NY 10038",
  "unit": null,
  "neighborhood": "Fulton Street Financial District, Downtown Manhattan, Manhattan",
  "zip": "10038",
  "city": "New York",
  "state": "NY",
  "monthlyRent": 5050,
  "bedrooms": 2,
  "bedroomsLabel": "2 Bed",
  "bathrooms": 1,
  "squareFeet": 1000,
  "latitude": 40.7096,
  "longitude": -74.0066,
  "noFee": false,
  "tags": ["Exclusive"],
  "brokerName": "Ava Hollow",
  "brokerPhone": "(347) 479-5032",
  "brokerProfileUrl": "https://www.renthop.com/managers/ava-hollow",
  "description": "Available now! Message me to tour today.",
  "postedAt": "last hour",
  "scrapedAt": "2026-10-13T09:00:00.000Z"
}

Integrations & Automation

Results are written to Apify datasets, so you can export them as JSON, CSV or Excel, read them through the Apify API, or push them onward with webhooks. Connect the actor to Zapier or Make to load rows into a CRM, a spreadsheet or a BI tool.

For rent monitoring, schedule the actor daily on the same search URLs so each run records the same market over time. For slower market research, a weekly schedule is usually enough. Recurring runs also help the actor surface better in the Apify Store.

Related Actors

• parseforge/zillow-rentals-scraper
• zillowscraper/zillow-agent-rental-listings-scraper
• themineworks/zillow-rental-listings
• benthepythondev/hotpads-rental-scraper
• swerve/redfin-rentals

FAQ

Is there an official RentHop API?

RentHop does not publish a public developer API. If you need structured rental data, you either scrape the public pages or license data from a third-party provider such as RentCast. This actor reads the public pages directly, so no contract is needed.

What are the alternatives to this actor for rental listing data?

Alternatives include the Zillow, HotPads and Redfin scrapers listed above, third-party rental data APIs such as RentCast, and apartment-comparison datasets. This actor focuses specifically on RentHop listings, including broker name and phone.

Does it return broker phone numbers?

Yes, when enrichDetails is true. Brokers write their number into the listing description, so it arrives with the same request and there is no separate profile lookup.

Can I run it without detail enrichment?

Yes. With enrichDetails: false the actor returns search-card data only (rent, address, ZIP, beds, baths, square footage, coordinates, tags, broker and thumbnail). One search page already carries that data, so a 20-listing run is only about 2 page fetches and typically finishes in under 10 seconds.

How many listings can one run return?

Up to maxListings (the default is 30, and the actor supports up to 1000). The actor automatically requests as many search pages as the requested count needs.

SEO Keywords

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For AI Agents & LLM Apps

Purpose: return RentHop rental listing rows (rent, size, location, broker contact) for a set of RentHop search or listing URLs.

Minimal working input:

{ "startUrls": [{ "url": "https://www.renthop.com/apartments-for-rent/new-york-ny/2-bedroom" }] }

Variant that enriches each listing with photos, description and broker phone:

{ "startUrls": [{ "url": "https://www.renthop.com/apartments-for-rent/brooklyn-new-york-ny/1-bedroom" }], "maxListings": 100, "enrichDetails": true }

Output fields: marketplace, listingId, url, address, unit, neighborhood, zip, city, state, monthlyRent, bedrooms, bedroomsLabel, bathrooms, squareFeet, latitude, longitude, noFee, tags, brokerName, brokerPhone, brokerProfileUrl, thumbnail, photos, description, postedAt, scrapedAt.

Behaviors an agent should know:

• enrichDetails defaults to false. Turning it on adds one request per listing and is what returns photos, description, brokerPhone, city, state and postedAt.
• maxPagesPerSearch is a floor, not a ceiling: the actor raises it automatically when maxListings needs more pages.
• requestDelayMs is derived from maxConcurrency and adapts automatically; leave it unset.
• Leaving maxListings unset uses the default of 30; free users are capped at 10.
• The Apify RESIDENTIAL proxy pinned to the US is on by default and is required for detail enrichment; datacenter IPs get blocked on listing pages.

Billing: pay-per-event. apify-actor-start (about $0.00005), one apify-default-dataset-item per row (about $0.0035) and one listing-detail per enriched listing that contributed photos or a full description (about $0.0025).

Legal & Compliance Disclaimer

This actor is independent and is not affiliated with, endorsed by or sponsored by RentHop or RentHop, Inc. It reads only publicly available listing pages: it does not log in, does not bypass authentication and does not solve CAPTCHAs.

Users are responsible for complying with RentHop's Terms of Service and with applicable data-protection law (for example GDPR or CCPA) in their own jurisdiction. Where the output contains broker names or phone numbers, that data must not be used for unsolicited commercial outreach in violation of applicable law.