Airbnb Listings Scraper

Extract Airbnb listings and property-level details at scale using search URLs. Build clean datasets with ranking, pricing, ratings, host details, and location metadata for analytics and market intelligence.

---

Features

• API-first extraction — Collects Airbnb listing and property data from the listing API response.
• Flexible inputs — Run using a full Airbnb search URL.
• Cursor pagination — Automatically follows Airbnb pagination cursors to collect more listings.
• Null-free dataset output — Excludes empty fields to keep records clean and analysis-ready.
• Auto-healing runtime context — Refreshes API key and operation hash context when request shape changes.

---

Use Cases

Short-Term Rental Market Research

Track active inventory, pricing, and listing quality in target cities or neighborhoods.

Competitive Benchmarking

Compare listing rankings, rating signals, and host characteristics across markets.

Dynamic Pricing Analysis

Monitor nightly and total displayed prices across different search filters and dates.

Data Pipeline Enrichment

Feed property datasets into BI tools, forecasting workflows, and automated reporting systems.

---

Input Parameters

Parameter	Type	Required	Default	Description
url	String	No	London search prefill	Preferred input. Any Airbnb search URL from /s/.../homes.
results_wanted	Integer	No	20	Maximum number of listing records to save.
max_pages	Integer	No	5	Safety cap for pagination depth.
proxyConfiguration	Object	No	Residential Apify Proxy	Proxy settings for reliability and stability.

---

Output Data

Each dataset item contains available listing/property metadata without empty/null fields.

Field	Type	Description
listing_id	String	Airbnb listing numeric identifier.
listing_url	String	Airbnb listing URL.
title	String	Listing title text.
subtitle	String	Listing subtitle text.
name_localized	String	Localized listing name.
room_type	String	Home or room type.
city	String	Localized city for the listing.
category	String	Airbnb room/property category label.
person_capacity	Number	Maximum supported guests.
is_superhost	Boolean	Host superhost status when available.
host_name	String	Host name when available.
latitude	Number	Listing latitude.
longitude	Number	Listing longitude.
rating	Number	Average rating value.
reviews_count	Number	Number of reviews parsed from rating text.
nightly_price	String	Primary displayed nightly price.
total_price_line	String	Secondary displayed total/summary line.
badges	Array	Listing badge labels.
image_urls	Array	Image URLs from contextual listing pictures.
search_rank	Number	Rank order in collected search results.
search_context	String	URL context used in the run.
fetched_at	String	Extraction timestamp.

---

Usage Examples

Search URL Input

{
  "url": "https://www.airbnb.com/s/London--United-Kingdom/homes?checkin=2026-05-13&checkout=2026-05-14&adults=1",
  "results_wanted": 20,
  "max_pages": 5
}

Proxy Configuration

{
  "url": "https://www.airbnb.com/s/London--United-Kingdom/homes",
  "results_wanted": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

---

Sample Output

{
  "listing_id": "1390856626261696498",
  "listing_url": "https://www.airbnb.com/rooms/1390856626261696498",
  "title": "Flat in Greater London",
  "subtitle": "2 beds",
  "name_localized": "Amazing location by tube",
  "room_type": "Entire rental unit",
  "city": "London",
  "person_capacity": 4,
  "rating": 4.93,
  "reviews_count": 165,
  "nightly_price": "$61",
  "nightly_price_qualifier": "for 1 night",
  "search_rank": 1,
  "search_context": "https://www.airbnb.com/s/London--United-Kingdom/homes?checkin=2026-05-13&checkout=2026-05-14&adults=1",
  "fetched_at": "2026-04-22T12:30:00.000Z"
}

---

Tips For Best Results

Prefer Direct Search URLs

Use full Airbnb search URLs for the most deterministic filter and location behavior.

Start With QA-Sized Runs

Run with results_wanted: 20 and low max_pages first, then increase for production jobs.

Enable Residential Proxy

For best reliability across larger paginated runs, keep residential proxy enabled.

Use Real Date Context

When analyzing pricing and availability snapshots, use Airbnb search URLs that already include realistic dates.

---

Integrations

• Google Sheets — Build listing and pricing trackers.
• Airtable — Create searchable property intelligence databases.
• Looker Studio / BI tools — Visualize ranking, rating, and pricing trends.
• Make / Zapier — Trigger automated workflows from fresh listing datasets.
• Webhooks — Send output to internal APIs and downstream services.

Export Formats

• JSON — For APIs and programmatic workflows.
• CSV — For spreadsheet analysis.
• Excel — For business reporting.
• XML — For compatible legacy systems.

---

Frequently Asked Questions

What happens if I do not provide a URL?

The actor uses INPUT.json as a local fallback. On Apify production runs, pass a real Airbnb search URL for deterministic behavior.

Does the actor support pagination?

Yes. It follows Airbnb cursor-based pagination until results_wanted or max_pages is reached.

What happens if the API key or operation hash changes?

The actor refreshes runtime API context automatically and retries the request.

Are null fields included in output?

No. Empty and null values are removed before records are saved.

Can I use long URLs with many query parameters?

Yes. The actor accepts full Airbnb search URLs with query parameters and uses them as search context.

---

Support

For issues, enhancements, or feature requests, open a ticket via Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

---

Legal Notice

This actor is intended for legitimate data collection and analysis workflows. Users are responsible for complying with applicable laws, platform terms, and usage limits.