HousingAnywhere Rental Listings Scraper

Collect structured rental inventory from public HousingAnywhere search and listing pages.

The HousingAnywhere Rental Listings Scraper exports monthly rent, availability, property type, room size, furnishing, amenities, photos, coordinates, deposits, landlord signals, and search metadata. Use it for rental market research, relocation operations, student housing analysis, and recurring inventory monitoring.

• 🏙️ Start from one or more city or property-type searches
• 🏠 Extract individual public listing URLs
• 🔎 Follow HousingAnywhere search pagination
• 🧩 Enrich every result from its public detail page
• 📊 Export JSON, CSV, Excel, XML, RSS, and HTML datasets
• 🔁 Schedule recurring runs to track price and availability changes

No HousingAnywhere login is required for the supported public pages.

What does HousingAnywhere Rental Listings Scraper do?

The Actor turns HousingAnywhere pages into consistent dataset rows.

For each search URL, it:

1. Downloads the server-rendered search page.
2. Reads current rental cards and search metadata.
3. Follows pagination within the configured safety limit.
4. Deduplicates listings by their stable ut listing ID.
5. Optionally visits public detail pages.
6. Saves one structured row per unique rental.

You can also provide individual /room/ut... links when you already know which listings matter.

Who is it for?

Rental market analysts

Build comparable-rent datasets by city, property type, size, furnishing, and utilities inclusion.

Relocation and student housing teams

Monitor furnished rooms and apartments for clients, employees, international students, or university cohorts.

Property managers

Compare active inventory, availability, advertised deposits, amenities, and rental terms across local markets.

Investors and researchers

Track supply and price movements with recurring snapshots that are easier to analyze than web pages.

Developers and data teams

Feed normalized rental records into dashboards, warehouses, alerts, internal APIs, or enrichment workflows.

Why use this HousingAnywhere scraper?

• Structured output: numeric rent and size values are exported as numbers.
• Search provenance: each row can include its source search, page, and result total.
• Rich enrichment: detail mode adds photos, coordinates, facilities, deposits, policies, and descriptions.
• Stable deduplication: canonical listing IDs prevent duplicate rows across searches.
• Low-overhead HTTP extraction: the Actor does not launch a browser for ordinary runs.
• Fail-closed inputs: non-HousingAnywhere hosts and wrong page types are rejected.
• Apify automation: use schedules, webhooks, API clients, integrations, and MCP.

What HousingAnywhere rental data can I extract?

Field	Description
listingId	Stable HousingAnywhere unit-type ID such as ut1194020
url	Canonical public listing URL
title	Human-readable rental title
street, city, country	Public location fields
postalCode, neighborhood	Detail-page locality fields when available
propertyType	Room, studio, apartment, or other advertised type
monthlyRent, currency	Numeric monthly rent and ISO-style currency
utilitiesIncluded	Whether core utilities are included
deposit	Refundable deposit amount when advertised
availability	Current source availability text or date
minimumStayMonths, maximumStayMonths	Advertised rental period bounds
bedroomCount	Number of bedrooms when provided
bedroomSizeM2, propertySizeM2	Numeric floor-area signals
bathroomType	Shared or private bathroom value
furnished	Furnishing boolean derived from public facilities
housemates, housematesGender	Current shared-housing signals
capacity	Available tenant places
latitude, longitude	Public approximate map coordinates
rating, reviewCount	Search-card rating signals when present
favoritesCount	Public favorite count
registrationPossible	Address-registration availability
cancellationPolicy, contractType	Rental policy metadata
facilities	Normalized facility and amenity values
photos	Public listing photo URLs
description	Public property description
landlordName, landlordType	Public advertiser fields
badges	Tenant-verified or flexible-cancellation badges
sourceSearchUrl, searchPage	Discovery provenance
searchResultTotal	Total shown by the source search
scrapedAt	ISO timestamp of collection

Fields remain optional when HousingAnywhere does not display them for a listing.

How much does it cost to scrape HousingAnywhere listings?

This Actor uses pay-per-event pricing:

• a small one-time start charge covers run initialization;
• each unique rental row saved triggers one listing event;
• account tiers receive volume-adjusted per-listing prices.

The input cap gives you direct control over run size. A small first run with 8 listings is suitable for checking the output before scaling. Your Apify Console shows the exact price for your account tier before starting a run.

How to scrape HousingAnywhere in 5 steps

1. Open the Actor input page.
2. Paste a HousingAnywhere search URL or individual listing URL.
3. Set Maximum rental listings to the required volume.
4. Keep Enrich from listing pages enabled for complete records.
5. Click Start, then export the dataset in your preferred format.

Search filters already encoded in a HousingAnywhere URL are preserved.

Input parameters

searchUrls

HousingAnywhere search pages beginning with /s/, including localized paths and property-type filters.

Example:

https://housinganywhere.com/s/Amsterdam--Netherlands/private-rooms

listingUrls

Optional public detail URLs beginning with /room/ut....

maxListings

Global maximum number of unique rental records. Default: 20. Allowed range: 1–5000.

includeDetails

When true, fetch detail pages for amenities, photos, deposits, location, descriptions, and rental policies. Default: true.

maxPagesPerSearch

Maximum pagination depth for each search URL. Default: 10. Allowed range: 1–100.

Example input: Amsterdam private rooms

{
  "searchUrls": [
    { "url": "https://housinganywhere.com/s/Amsterdam--Netherlands/private-rooms" }
  ],
  "maxListings": 20,
  "includeDetails": true,
  "maxPagesPerSearch": 3
}

Example input: one rental listing

{
  "listingUrls": [
    { "url": "https://housinganywhere.com/room/ut1194020/nl/Amsterdam/weerdestein" }
  ],
  "maxListings": 1,
  "includeDetails": true,
  "maxPagesPerSearch": 1
}

Example output

{
  "listingId": "ut1194020",
  "url": "https://housinganywhere.com/room/ut1194020/nl/Amsterdam/weerdestein",
  "title": "private room in apartment in Weerdestein, Amsterdam",
  "street": "Weerdestein",
  "city": "Amsterdam",
  "country": "Netherlands",
  "propertyType": "private room in apartment",
  "monthlyRent": 1500,
  "currency": "EUR",
  "utilitiesIncluded": true,
  "bedroomCount": 1,
  "bedroomSizeM2": 10,
  "propertySizeM2": 12,
  "furnished": true,
  "housemates": 3,
  "registrationPossible": true,
  "scrapedAt": "2026-07-20T03:00:00.000Z"
}

Live values change over time; the example shows the output shape rather than a price guarantee.

Search versus detail enrichment

With includeDetails: false, search runs are faster and return card-level fields such as rent, availability, room size, housemates, rating, badges, and a preview photo.

With includeDetails: true, the Actor adds richer listing-level fields. Choose detail mode for market analysis and no-detail mode for frequent lightweight discovery scans.

Direct listingUrls always require a detail request because there is no search card to use as a base record.

Pagination and deduplication

HousingAnywhere currently serves paginated public searches. The Actor increments the page query parameter and stops when:

• the configured listing cap is reached;
• the source-reported result total is exhausted;
• no new listing IDs appear; or
• maxPagesPerSearch is reached.

If the same rental appears in multiple input searches, it is saved only once.

Tips for reliable rental data

• 🎯 Use specific property-type searches when you need a homogeneous dataset.
• 🧪 Begin with 8–20 listings and inspect the dataset columns.
• ⚡ Disable enrichment for high-frequency inventory checks.
• 🧩 Enable enrichment when deposits, facilities, policies, or photos matter.
• 📅 Schedule equivalent inputs at consistent times for comparable snapshots.
• 🗃️ Store snapshots in named datasets or your own warehouse for change analysis.

Export and data integrations

Apify datasets support JSON, JSONL, CSV, Excel, XML, RSS, and HTML exports.

Useful workflow patterns include:

• send completed datasets to Google Sheets for relocation coordinators;
• write rental snapshots to BigQuery, Snowflake, or PostgreSQL;
• trigger Slack alerts when new inventory appears below a rent threshold;
• connect Make or Zapier to route listings into review queues;
• use webhooks to start a comparison job after every run;
• download CSV files for analyst review in Excel.

Scheduling a rental inventory monitor

Create an Apify schedule with a fixed input, such as one city search and a stable listing cap. Run daily or weekly depending on market speed.

To detect changes, compare rows by listingId and track:

• newly observed IDs;
• missing IDs;
• changes to monthlyRent;
• changes to availability;
• changes to furnishing or utilities inclusion.

The Actor produces current snapshots; it does not maintain historical state automatically.

JavaScript API example

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/housinganywhere-rental-listings-scraper').call({
  searchUrls: [{ url: 'https://housinganywhere.com/s/Amsterdam--Netherlands/private-rooms' }],
  maxListings: 20,
  includeDetails: true,
  maxPagesPerSearch: 3,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python API example

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('automation-lab/housinganywhere-rental-listings-scraper').call(run_input={
    'searchUrls': [{'url': 'https://housinganywhere.com/s/Amsterdam--Netherlands/private-rooms'}],
    'maxListings': 20,
    'includeDetails': True,
    'maxPagesPerSearch': 3,
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

cURL API example

curl -X POST \
  "https://api.apify.com/v2/acts/automation-lab~housinganywhere-rental-listings-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchUrls": [{"url":"https://housinganywhere.com/s/Amsterdam--Netherlands/private-rooms"}],
    "maxListings": 20,
    "includeDetails": true,
    "maxPagesPerSearch": 3
  }'

Use the scraper through MCP

Connect Apify MCP to Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=automation-lab/housinganywhere-rental-listings-scraper"

For Claude Desktop, Cursor, or VS Code, add an HTTP MCP server:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=automation-lab/housinganywhere-rental-listings-scraper"
    }
  }
}

Example prompts:

• “Scrape 20 furnished HousingAnywhere rentals from this Amsterdam search and rank them by monthly rent.”
• “Extract this HousingAnywhere listing and summarize the deposit, utilities, room size, and registration rules.”
• “Run my saved rental inventory input and return only listings available now.”

Data quality and limitations

HousingAnywhere controls the source layout, inventory, and visible fields. A listing may omit ratings, exact availability dates, postal codes, facilities, or landlord fields.

Search cards represent the source's current ranked inventory and may include nearby localities. Use the emitted city value rather than assuming every result is inside the searched city boundary.

Coordinates are the public coordinates supplied by the listing page and may be approximate for tenant safety.

The Actor does not reveal private contact details, bypass login requirements, make bookings, or message landlords.

Is it legal to scrape HousingAnywhere?

The Actor extracts publicly visible rental information. Web scraping legality depends on jurisdiction, purpose, contract terms, and how data is stored or redistributed.

You are responsible for:

• having a lawful purpose;
• following applicable privacy and database laws;
• respecting HousingAnywhere terms and platform rights;
• minimizing collection of personal data;
• honoring deletion or correction obligations;
• avoiding harmful, discriminatory, or unsolicited-contact uses.

This documentation is not legal advice.

Troubleshooting

Why did the Actor reject my URL?

Only public housinganywhere.com search paths (/s/...) and detail paths (/room/ut...) are accepted. Put each URL in the matching input field.

Why is a field missing?

HousingAnywhere does not expose every field on every rental. Enable detail enrichment and verify the value is public on the source page.

Why did a run fail with no listings?

Check that the search still displays rental cards in a normal browser. A complete extraction failure is reported as an error instead of producing an empty successful dataset.

Why did I receive fewer rows than maxListings?

The source may contain fewer unique matching rentals, your pagination cap may be reached, or multiple searches may overlap. maxListings is a ceiling, not a guaranteed count.

Frequently asked questions

Can I scrape several cities in one run?

Yes. Add multiple HousingAnywhere search URLs. The global cap applies across them.

Can I scrape apartments, studios, and rooms?

Yes. Use the appropriate HousingAnywhere search URL and preserve its category path or filters.

Does the Actor require a proxy?

The current public search and detail routes work over ordinary HTTP. The Actor does not require users to configure a proxy for the supported workflow.

Does it download images?

No. It exports public photo URLs, which keeps runs efficient and datasets compact.

Can it track changes automatically?

Use Apify schedules for recurring snapshots, then compare rows by listingId in your database, spreadsheet, or automation.

Related real estate scrapers

Combine this Actor with other Automation Lab tools when your workflow covers additional markets:

• Zillow Scraper for US property listings
• Airbnb Listing Scraper for short-term rental inventory
• Google Maps Scraper for local businesses and neighborhood research

Use source-specific Actors rather than treating different rental marketplaces as identical datasets.

Support

If a valid public HousingAnywhere search or listing stops producing expected fields, open an issue on the Actor page and include:

• the input URL;
• the approximate run time;
• the run ID;
• the missing field or unexpected behavior;
• whether detail enrichment was enabled.

Do not include private account credentials or personal contact information.