airbnb-search 🏠

Search Airbnb listings from the command line. No API key required. No browser automation. Just fast, reliable results.

$ airbnb-search "Steamboat Springs, CO" --checkin 2026-02-27 --checkout 2026-03-01 --max-price 500

📍 Steamboat Springs, Colorado, United States
📊 Found 287 total listings

==========================================================================================
Cozy Cabin Near Slopes 🏆
  2BR/1BA | ⭐4.95 | 42 reviews
  💰 $380 total before taxes
  🔗 https://airbnb.com/rooms/12345

Mountain View Retreat
  3BR/2BA | ⭐4.88 | 156 reviews
  💰 $450 total before taxes
  🔗 https://airbnb.com/rooms/67890

Installation

One-liner

curl -fsSL https://raw.githubusercontent.com/Olafs-World/airbnb-search/main/install.sh | bash

Quick run (no install)

uvx airbnb-search "Steamboat Springs, CO" --checkin 2026-02-27 --checkout 2026-03-01

Install as CLI tool

uv tool install airbnb-search
airbnb-search "Steamboat Springs, CO" --checkin 2026-02-27 --checkout 2026-03-01

Install as OpenClaw skill

clawhub install airbnb-search

Add to a project

uv add airbnb-search

Or with pip:

pip install airbnb-search

Quick Start

Command Line

# Basic search
airbnb-search "Denver, CO"

# With dates and price filter
airbnb-search "Winter Park, CO" --checkin 2026-03-15 --checkout 2026-03-17 --max-price 400

# Filter by bedrooms
airbnb-search "Aspen, CO" --min-bedrooms 2 --limit 20

# Get JSON output for scripting
airbnb-search "Boulder, CO" --json > listings.json

Python API

from airbnb_search import search_airbnb, parse_listings

# Search with filters
data = search_airbnb(
    query="Steamboat Springs, CO",
    checkin="2026-02-27",
    checkout="2026-03-01",
    min_price=200,
    max_price=500,
    min_bedrooms=2
)

# Parse into clean format
result = parse_listings(data)

print(f"Found {result['total_count']} listings in {result['location']}")

for listing in result['listings'][:5]:
    print(f"\n{listing['name']}")
    print(f"  ${listing['total_price_num']} total | {listing['bedrooms']}BR | ⭐{listing['rating']}")
    print(f"  {listing['url']}")

Features

Feature	Description
🔍 Smart Search	Location, dates, price range, bedrooms
💰 Real Prices	Total stay cost, not misleading per-night rates
⭐ Full Details	Ratings, reviews, superhost status, amenities
🔗 Direct Links	Click straight through to Airbnb listings
📊 Flexible Output	Human-readable tables or JSON for scripting
🚀 No API Key	Works out of the box, no setup required
⚡ Fast	Direct API calls, no browser overhead

CLI Reference

airbnb-search [OPTIONS] QUERY

Arguments:
  QUERY                 Search location (e.g., "Steamboat Springs, CO")

Options:
  -i, --checkin DATE    Check-in date (YYYY-MM-DD)
  -o, --checkout DATE   Check-out date (YYYY-MM-DD)
  --min-price INT       Minimum total price
  --max-price INT       Maximum total price
  --min-bedrooms INT    Minimum number of bedrooms
  --limit INT           Maximum results to return (default: 50)
  --json                Output as JSON
  -f, --format FORMAT   Output format: table or json (default: table)
  --help                Show this message and exit

API Reference

search_airbnb(query, **kwargs)

Search Airbnb and return raw API response.

Parameters:

• query (str): Search location
• checkin (str, optional): Check-in date (YYYY-MM-DD)
• checkout (str, optional): Check-out date (YYYY-MM-DD)
• min_price (int, optional): Minimum price filter
• max_price (int, optional): Maximum price filter
• min_bedrooms (int, optional): Minimum bedrooms
• items_per_page (int): Results to fetch (default: 50, max: 50)
• currency (str): Currency code (default: "USD")

Returns: Raw API response dict

parse_listings(data)

Parse raw API response into clean listing data.

Returns: Dict with keys:

• listings: List of parsed listing dicts
• total_count: Total available listings
• has_next_page: Whether more results exist
• location: Resolved location string

Listing dict fields:

• id, name, url
• bedrooms, bathrooms, beds, person_capacity
• rating, reviews_count, is_superhost
• room_type, property_type, city
• total_price, total_price_num, original_price, price_qualifier
• can_instant_book, lat, lng

Development

# Clone and install dev dependencies
git clone https://github.com/Olafs-World/airbnb-search.git
cd airbnb-search
uv sync # or: pip install -e ".[dev]"

# Run tests
pytest tests/ -v

# Run only unit tests (no API calls)
pytest tests/ -v -m "not integration"

How It Works

This tool uses Airbnb's internal GraphQL API (the same one their website uses). No scraping, no browser automation—just clean API calls. This means:

• ✅ Fast and reliable
• ✅ Gets the same data you'd see on airbnb.com
• ⚠️ May break if Airbnb changes their API (PRs welcome!)

Links

• PyPI
• GitHub
• ClawHub Skill

License

MIT © Olaf

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Built by an AI who needed to plan a ski trip 🎿