Airbnb▌
by openbnb-org
Integrate with Airbnb for effortless vacation rental search and detailed property info—no API keys needed. Ideal for ren
Integrates with Airbnb to enable vacation rental search and detailed property information retrieval without requiring API keys
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Travel planning and vacation rental research
- / Real estate market analysis and comparison
- / Travel booking automation and assistance
capabilities
- / Search Airbnb listings by location and dates
- / Filter by price range, guest count, and amenities
- / Retrieve detailed property information and amenities
- / Browse results with pagination support
- / Get direct booking links to properties
what it does
Searches Airbnb listings with detailed filtering options and retrieves comprehensive property information. Works without API keys by integrating directly with Airbnb's platform.
about
Airbnb is a community-built MCP server published by openbnb-org that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Airbnb for effortless vacation rental search and detailed property info—no API keys needed. Ideal for ren It is categorized under search web. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Airbnb in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Airbnb is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Airbnb Search & Listings - Desktop Extension (DXT)
A comprehensive Desktop Extension for searching Airbnb listings with advanced filtering capabilities and detailed property information retrieval. Built as a Model Context Protocol (MCP) server packaged in the Desktop Extension (DXT) format for easy installation and use with compatible AI applications.
Features
🔍 Advanced Search Capabilities
- Location-based search with support for cities, states, and regions
- Google Maps Place ID integration for precise location targeting
- Date filtering with check-in and check-out date support
- Guest configuration including adults, children, infants, and pets
- Price range filtering with minimum and maximum price constraints
- Pagination support for browsing through large result sets
🏠 Detailed Property Information
- Comprehensive listing details including amenities, policies, and highlights
- Location information with coordinates and neighborhood details
- House rules and policies for informed booking decisions
- Property descriptions and key features
- Direct links to Airbnb listings for easy booking
🛡️ Security & Compliance
- Robots.txt compliance with configurable override for testing
- Request timeout management to prevent hanging requests
- Enhanced error handling with detailed logging
- Rate limiting awareness and respectful API usage
- Secure configuration through DXT user settings
Installation
For Claude Desktop
This extension is packaged as a Desktop Extension (DXT) file. To install:
- Download the
.dxtfile from the releases page - Open your compatible AI application (e.g., Claude Desktop)
- Install the extension through the application's extension manager
- Configure the extension settings as needed
For Cursor, etc.
Before starting make sure Node.js is installed on your desktop for npx to work.
-
Go to: Cursor Settings > Tools & Integrations > New MCP Server
-
Add one the following to your
mcp.json:{ "mcpServers": { "airbnb": { "command": "npx", "args": [ "-y", "@openbnb/mcp-server-airbnb" ] } } }To ignore robots.txt for all requests, use this version with
--ignore-robots-txtargs{ "mcpServers": { "airbnb": { "command": "npx", "args": [ "-y", "@openbnb/mcp-server-airbnb", "--ignore-robots-txt" ] } } } -
Restart.
Configuration
The extension provides the following user-configurable options:
Ignore robots.txt
- Type: Boolean (checkbox)
- Default:
false - Description: Bypass robots.txt restrictions when making requests to Airbnb
- Recommendation: Keep disabled unless needed for testing purposes
Tools
airbnb_search
Search for Airbnb listings with comprehensive filtering options.
Parameters:
location(required): Location to search (e.g., "San Francisco, CA")placeId(optional): Google Maps Place ID (overrides location)checkin(optional): Check-in date in YYYY-MM-DD formatcheckout(optional): Check-out date in YYYY-MM-DD formatadults(optional): Number of adults (default: 1)children(optional): Number of children (default: 0)infants(optional): Number of infants (default: 0)pets(optional): Number of pets (default: 0)minPrice(optional): Minimum price per nightmaxPrice(optional): Maximum price per nightcursor(optional): Pagination cursor for browsing resultsignoreRobotsText(optional): Override robots.txt for this request
Returns:
- Search results with property details, pricing, and direct links
- Pagination information for browsing additional results
- Search URL for reference
airbnb_listing_details
Get detailed information about a specific Airbnb listing.
Parameters:
id(required): Airbnb listing IDcheckin(optional): Check-in date in YYYY-MM-DD formatcheckout(optional): Check-out date in YYYY-MM-DD formatadults(optional): Number of adults (default: 1)children(optional): Number of children (default: 0)infants(optional): Number of infants (default: 0)pets(optional): Number of pets (default: 0)ignoreRobotsText(optional): Override robots.txt for this request
Returns:
- Detailed property information including:
- Location details with coordinates
- Amenities and facilities
- House rules and policies
- Property highlights and descriptions
- Direct link to the listing
Technical Details
Architecture
- Runtime: Node.js 18+
- Protocol: Model Context Protocol (MCP) via stdio transport
- Format: Desktop Extension (DXT) v0.1
- Dependencies: Minimal external dependencies for security and reliability
Error Handling
- Comprehensive error logging with timestamps
- Graceful degradation when Airbnb's page structure changes
- Timeout protection for network requests
- Detailed error messages for troubleshooting
Security Measures
- Robots.txt compliance by default
- Request timeout limits
- Input validation and sanitization
- Secure environment variable handling
- No sensitive data storage
Performance
- Efficient HTML parsing with Cheerio
- Request caching where appropriate
- Minimal memory footprint
- Fast startup and response times
Compatibility
- Platforms: macOS, Windows, Linux
- Node.js: 18.0.0 or higher
- Claude Desktop: 0.10.0 or higher
- Other MCP clients: Compatible with any MCP-supporting application
Development
Building from Source
# Install dependencies
npm install
# Build the project
npm run build
# Watch for changes during development
npm run watch
Testing
The extension can be tested by running the MCP server directly:
# Run with robots.txt compliance (default)
node dist/index.js
# Run with robots.txt ignored (for testing)
node dist/index.js --ignore-robots-txt
Legal and Ethical Considerations
- Respect Airbnb's Terms of Service: This extension is for legitimate research and booking assistance
- Robots.txt Compliance: The extension respects robots.txt by default
- Rate Limiting: Be mindful of request frequency to avoid overwhelming Airbnb's servers
- Data Usage: Only extract publicly available information for legitimate purposes
Support
- Issues: Report bugs and feature requests on GitHub Issues
- Documentation: Additional documentation available in the repository
- Community: Join discussions about MCP and DXT development
License
MIT License - see LICENSE file for details.
Contributing
Contributions are welcome! Please read the contributing guidelines and submit pull requests for any improvements.
Note: This extension is not affiliated with Airbnb, Inc. It is an independent tool designed to help users search and analyze publicly available Airbnb listings.
FAQ
- What is the Airbnb MCP server?
- Airbnb is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Airbnb?
- This profile displays 75 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Web Research & Information Gathering
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Content Monitoring & Alerts
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Data Extraction & Aggregation
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
API-less Integration
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›Understanding of web scraping ethics and robots.txt
- ›Rate limiting awareness to avoid overwhelming target sites
- ›Knowledge of legal restrictions on data collection
Time Estimate
20-40 minutes including configuration and testing
Installation Steps
- 1.Install web automation MCP server via npm or pip
- 2.Configure allowed domains and rate limits in MCP config
- 3.Test with simple fetch: 'Get content from example.com'
- 4.Progress to extraction: 'Extract all product prices from this page'
- 5.Set up monitoring: 'Check this URL daily for changes'
- 6.Parse structured data: 'Create CSV from this table'
- 7.Respect robots.txt and rate limits always
Troubleshooting
- ⚠403 Forbidden: Website blocks bots—respect their wishes, use official API instead
- ⚠Rate limit errors: Slow down requests, add delays between fetches
- ⚠Stale data: Target site changed HTML structure—update selectors
- ⚠Timeout errors: Site is slow or blocking—increase timeout, try different user agent
- ⚠JavaScript-rendered content: Use headless browser MCP servers for dynamic sites
Best Practices▌
✓ Do
- +Check robots.txt and respect crawl rules
- +Rate limit requests: 1-2 requests/second maximum
- +Use official APIs when available instead of scraping
- +Identify your bot with descriptive user agent
- +Cache results to minimize repeated requests
- +Handle errors gracefully with retries and fallbacks
- +Validate extracted data for accuracy
✗ Don't
- −Don't scrape sites that explicitly forbid it (robots.txt, ToS)
- −Don't overwhelm servers with rapid requests—use rate limiting
- −Don't scrape personal data without consent and legal basis
- −Don't ignore copyright on extracted content
- −Don't assume HTML structure is stable—handle changes
- −Don't use scraped data for commercial purposes without permission
💡 Pro Tips
- ★Use CSS selectors or XPath for robust data extraction
- ★Set up monitoring alerts for extraction failures (structure changed)
- ★Implement exponential backoff for retries on failures
- ★Store raw HTML for reprocessing if extraction logic changes
- ★Combine with data analysis tools for insights from extracted data
- ★Consider using official APIs or RSS feeds as more stable alternatives
Technical Details▌
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
- HTTP/HTTPS
- WebSocket (for real-time sites)
- Puppeteer/Playwright (for JavaScript sites)
Compatibility
- Static HTML sites
- JavaScript-rendered SPAs (with headless browser)
- REST APIs
- GraphQL endpoints
When to Use This▌
✓ Use When
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid When
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Integration▌
- →Scheduled monitoring with change detection
- →Multi-source data aggregation pipelines
- →Fallback to web scraping when API rate limits hit
- →Headless browser for JavaScript-heavy sites
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★75 reviews- ★★★★★Emma Zhang· Dec 28, 2024
We evaluated Airbnb against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Valentina Martinez· Dec 28, 2024
Airbnb reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Kwame Sharma· Dec 24, 2024
Airbnb is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Layla Li· Dec 8, 2024
I recommend Airbnb for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dev Ndlovu· Dec 8, 2024
Airbnb has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Layla Abbas· Nov 27, 2024
Airbnb reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Camila Anderson· Nov 27, 2024
We evaluated Airbnb against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Li Chen· Nov 19, 2024
Airbnb has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★James Chen· Nov 19, 2024
I recommend Airbnb for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dev Lopez· Nov 15, 2024
According to our notes, Airbnb benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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