Extract a structured public Airbnb listing record from a listing ID or URL. Optional dates, guest count, and currency let the Bot include stay-specific price data when Airbnb exposes it.

What Does BrowserAct Airbnb Listing Details Scraper Do?

This BrowserAct template runs a validated, reusable extraction path against publicly accessible Airbnb pages. Configure the inputs, run the Bot, and receive structured records without writing selectors or browser scripts.

Key Features

Accept either an Airbnb listing ID or public listing URL.
Optionally apply stay dates, guest count, and currency.
Return photos, location, capacity, amenities, rules, and sleeping data.
Preserve exact address and price as null when the public listing does not expose them.

What Data Can I Extract from Airbnb?

Field	Description
`listing_id`	Structured listing id value returned by the Bot.
`listing_url`	Public listing url for the record.
`title`	Public title.
`room_type`	Structured room type value returned by the Bot.
`property_type`	Structured property type value returned by the Bot.
`description`	Public description text.
`property_overview`	Structured property overview value returned by the Bot.
`person_capacity`	Visible person capacity value.
`photo_urls`	Public listing photo URLs.
`latitude`	Structured latitude value returned by the Bot.
`longitude`	Structured longitude value returned by the Bot.
`location`	Structured location value returned by the Bot.
`address`	Structured address value returned by the Bot.
`amenities`	Visible amenities provided by the listing.
`house_rules`	Visible house rules for the listing.
`highlights`	Visible product or listing highlights.
`overall_rating`	Public overall rating metric.
`review_count`	Visible review count value.
`category_ratings`	Airbnb category-level rating values.
`sleeping_arrangements`	Visible bedrooms, beds, and sleeping arrangements.
`price`	Visible price, preserved as null when unavailable.

How to Use Airbnb Listing Details Scraper

Click Run task.
Enter the configurable values shown below.
Run the Bot and review the structured records.
Export the result or connect it to an API, automation platform, or agent workflow.

Input Parameters

Parameter	Required	Default	Description
`Listing ID or URL`	Yes	`5476930`	Public Airbnb listing ID or full listing URL.
`Check In`	No	`empty`	Optional arrival date used for dated pricing.
`Check Out`	No	`empty`	Optional departure date used for dated pricing.
`Adults`	Yes	`1`	Adult guest count used for availability and pricing.
`Currency`	Yes	`USD`	Preferred currency for price output when supported.

Example Output

{
  "results": [
    {
      "listing_id": "5476930",
      "listing_url": "https://www.airbnb.com/rooms/5476930",
      "title": "Example Apartment Near Central London",
      "room_type": "Entire home/apt",
      "property_type": "Entire rental unit",
      "person_capacity": 6,
      "location": "London, United Kingdom",
      "overall_rating": 4.83,
      "review_count": 372,
      "photo_urls": [
        "https://a0.muscache.com/example.jpg"
      ],
      "amenities": [
        "Wifi",
        "Kitchen"
      ]
    }
  ]
}

How Does it Work?

How Airbnb Listing Details Scraper runs

BrowserAct constructs or opens the public Airbnb room URL from the configured listing input and applies optional stay parameters when supplied.

The Bot reads the listing data from Airbnb public page state, maps property, capacity, photo, location, amenity, rule, rating, sleeping, and optional price fields, and returns one structured listing record.

How to Build a New Scraper Bot with Agent Built

Step 1: Describe the Data You Need

Open BrowserAct and start Agent Built from the Home prompt box or from Create -> Build with Agent. Paste a clear request that includes the website, the records to collect, the filters or search conditions, the fields to return, the result limit, and the inputs you want to reuse later.

Agent Built prompt templates

Step 2: Let BrowserAct Build and Test the Bot

BrowserAct explores the live website, works out the navigation and extraction path, and validates the result. If BrowserAct asks for clarification, reply in the same build conversation with the missing URL, condition, field, example, or expected output.

Agent Built exploration

Step 3: Run the Bot and Review the Result

When the build is complete, run the Bot with the default inputs first. Review the structured records, source URLs, missing fields, and row count before reusing the Bot with new inputs or connecting it to another workflow.

Agent Built run inputs

Agent Built run results

Why Use Airbnb Listing Details Scraper?

Support vacation-rental research, property comparison, market analysis, amenity audits, and reusable listing enrichment workflows.

Who Can Use This Template?

Travel and hospitality analysts.
Vacation-rental operators.
Property researchers.
Data and automation teams.

How Many Results Can You Scrape?

This template returns one listing record per run. Dates are required for stay-specific price data; availability and visible fields can vary by listing and region.

Automation and Export

Automation and export flow

BrowserAct returns structured data first. You can then use the completed output through API JSON responses, n8n workflows, Make scenarios, Zapier automations, MCP-based agent workflows, or manual CSV and spreadsheet review.

Need Help?

Contact us at

Discord: Discord Community

E-mail: service@browseract.com

Airbnb Listing Details Scraper

History

FAQ About the template

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