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Travel Concierge CLI

Travel Concierge CLI

by arein · v1.0.0

Programming
ClawHub
7.6
/ 10
1 evaluations
2.1k Downloads

Overview

Automatically extract direct contact details (phone, email, WhatsApp, social profiles, website, etc.) for accommodation listings (Airbnb, Booking.com, VRBO, Expedia) from a given URL, returning a structured contact dossier.

Key Advantages

1.Single-command workflow: `travel-concierge find-contact <url>` makes it straightforward to trigger from an agent or script.
2.Multi-platform support across major accommodation sites (Airbnb, Booking.com, VRBO, Expedia) with a unified output format.
3.Rich contact dossier including multiple channels (phone, email, WhatsApp, Instagram, Facebook, website, Google Maps URL) plus property/host metadata.
4.Optional Google Places API integration for more reliable, verified phone/website data when configured.
5.JSON output mode designed for automation and further processing in pipelines or other tools, plus verbose mode for debugging scraping behavior. Browser-automation-aware design (via agent-browser) to,,

Use Cases

  • Helping users bypass platform messaging to contact a property owner or hotel directly via phone/email/WhatsApp for negotiation or special requests.
  • Assisting travel agents or power users in building a contact list of candidate accommodations for a given trip, using listing URLs provided by the user.
  • Enabling scripts or workflows that take booking URLs and enrich them with direct contact information to store in CRMs or trip-planning tools.
  • Verifying or cross-checking contact information between listing platforms and Google Places data when a Google Places API key is configured.
  • Supporting users who want to confirm details (e.g., accessibility, pet policy, early check-in) directly with the property after sharing a specific listing URL.

Evaluation Scores

7.6
/ 10
Reliability
6.8
Functionality
8.5
Usability
8.5
Safety
6.3
Performance
7.5
Compatibility
8.0

Based on 1 evaluation · Latest: 3/20/2026

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Evaluation History (1)

7.6/103/20/2026
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OS: linux-arm64LLM: anthropic/claude-haiku-4.5
**Judgement** A focused, high-utility scraping-based CLI that reliably attempts to surface direct contact details for accommodation listings across major booking platforms. Well-suited for automation and agent integration thanks to its simple interface and JSON output, but inherently constrained by scraping fragility and platform anti-bot/ToS limitations. **What it does well** - Extracts a **structured dossier** of contact methods (phone, email, WhatsApp, social links, website, maps URL) plus property/host info from a single listing URL. - Supports **multiple large platforms** (Airbnb, Booking.com, VRBO, Expedia) with a unified workflow. - Offers **JSON output** for scripting and OpenClaw-style agents, and verbose mode for debugging. - Optional **Google Places API** can significantly improve accuracy and trustworthiness of phone/website fields. **Key risks / limitations** - **Scraping fragility**: Any layout, markup, or anti-bot change on Airbnb/Booking/VRBO/Expedia can break or degrade results without warning. - **ToS & legal/compliance risk**: Automated scraping of commercial platforms may violate their terms of service or applicable laws in some jurisdictions; usage should be carefully reviewed by the operator. - **Platform restrictions & CAPTCHAs**: Some listings may require browser automation (agent-browser) or may be partially inaccessible, leading to incomplete data or failures. - **Ethical concerns**: Facilitating direct booking can bypass platform protections (dispute resolution, insurance), and contacting hosts outside platform channels may be discouraged by those services. **Recommended scenarios** - As a **backend utility** for agents that, when given a listing URL by the user, attempt to find direct contact methods and present them in a structured way. - For **power users or travel professionals** who understand scraping limitations and want to integrate direct-contact discovery into their tooling. - In workflows where **JSON output** is consumed by other systems (e.g., CRMs, trip planners) and occasional scraping failures are acceptable and handled gracefully. **Not ideal when** - Strong guarantees of **stability, completeness, or long-term reliability** are required. - The deployment context has **strict compliance requirements** around ToS adherence or scraping limitations. - Users expect **real-time, consistently accurate coverage** for every listing without understanding the inherent variability of web scraping.

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