airbnb-listing-detail

airbnb-listing-detail is a skill for Claude Code, Codex from browser-act/skills. It costs 118 tokens per session (1,283 once invoked), scanned A, original, MIT.

A tool that retrieves detailed information about an Airbnb property from its numeric listing ID. Airbnb is a site for booking homes, rooms, and other short-term stays.

In plain words
What is it for?
Use it to retrieve a listing's title, description, property type, amenities, photos, location, rules, ratings, reviews, bedrooms, and overview.
Why use it?
It avoids opening and collecting information from many parts of a listing by returning the main property details in one result, without requiring an Airbnb login.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassin.

Good fit Use it to retrieve a listing's title, description, property type, amenities, photos, location, rules, ratings, reviews, bedrooms, and overview.

Compare 6 skills from other repositories ↓
About the project

BrowserAct is a browser automation system that lets AI agents use real, separate browser sessions to extract data and complete account-based web tasks. It is for agents and teams that need parallel workflows, reused login states, human handoffs, or access to sites that resist ordinary automated requests.

browser-act/skills · 5,875 stars · on GitHub · browseract.com

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/browser-act/skills
agentmods
npx agentmods add skills/browser-act/skills/airbnb-listing-detail

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for airbnb-listing-detail

README.md
[![agentmods](https://agentmods.dev/badge/skills/browser-act/skills/airbnb-listing-detail/github.svg)](https://agentmods.dev/skills/browser-act/skills/airbnb-listing-detail)
Your own site
<a href="https://agentmods.dev/skills/browser-act/skills/airbnb-listing-detail"><img src="https://agentmods.dev/badge/skills/browser-act/skills/airbnb-listing-detail/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for airbnb-listing-detail

Your own site · 80×15
<a href="https://agentmods.dev/skills/browser-act/skills/airbnb-listing-detail"><img src="https://agentmods.dev/badge/skills/browser-act/skills/airbnb-listing-detail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,283 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00118 $0.01283
Opus 5 $0.00059 $0.00642
Sonnet 5 $0.00024 $0.00257
Haiku 4.5 $0.00012 $0.00128

Measured 11d ago against content hash a61f302eca8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

airbnb-listing-detail scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/listing-detail.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

solutions/ecommerce/airbnb-listing-detail/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Airbnb — Listing Detail

Listing ID → full property detail via internal GraphQL API (no login required)

Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Fetch comprehensive listing data for an Airbnb property using the internal StaysPdpSections GraphQL API.

Prerequisites

  • Browser is open (any page). The API call is made via fetch() in the browser context — no specific page navigation required.
  • No login required — the API endpoint is publicly accessible

Pre-execution Checks

1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

Capability Components

This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". $(...) is bash syntax; it is recommended to use the bash tool for execution.

API: fetch listing detail

eval "$(python scripts/listing-detail.py '{listing_id}')"

Parameters:

  • listing_id: numeric Airbnb listing ID (e.g., 5476930). Extract from listing URL: airbnb.com/rooms/{listing_id}
  • --checkin: check-in date in YYYY-MM-DD format, default: none (price info unavailable without dates)
  • --checkout: check-out date in YYYY-MM-DD format, default: none
  • --adults: number of adult guests, default: 1
  • --locale: response locale, default: en
  • --currency: price currency code, default: USD

Output example:

{
  "id": "5476930",
  "url": "https://www.airbnb.com/rooms/5476930",
  "title": "Bright Studio in Notting Hill",
  "room_type": "ENTIRE_HOME",
  "description": "<p>Welcome to this charming studio...</p>",
  "photos": ["https://a0.muscache.com/im/pictures/...jpeg"],
  "lat": 51.5101,
  "lng": -0.1949,
  "city": "London, England, United Kingdom",
  "amenities": [
    {"name": "Kitchen", "available": true},
    {"name": "Wifi", "available": true}
  ],
  "house_rules": ["Check-in after 3:00 PM", "Checkout before 11:00 AM", "1 guest maximum"],
  "highlights": [
    {"title": "Self check-in", "subtitle": "Check yourself in with the keypad."}
  ],
  "rating_overall": 4.85,
  "review_count": 142,
  "ratings": [
    {"category": "CLEANLINESS", "value": "4.9"},
    {"category": "LOCATION", "value": "4.8"}
  ],
  "bedrooms": [
    {"title": "Bedroom 1", "subtitle": "1 king bed"}
  ]
}

Read the full file on GitHub · 113 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 113 lines · 118 tokens per session scan A a61f302eca8a

Subscribe to this mod's changes

airbnb-listing-detail is a skill published in the GitHub repository browser-act/skills (5,875 stars, last pushed 17d ago), licensed MIT. It adds 118 tokens to every session and 1,283 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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