Scrape Booking.com with AI

# Scrape Booking.com — SoloStack Skill File
> Drop this file into your SoloStack repo and Claude Code will use it as
> context to run this workflow automatically.
---
## Overview
Extract Booking.com hotel listings, prices, reviews, and availability data using Apify and Claude Code.
**Apify Actor:** `voyager/booking-scraper`
**Pricing:** ~$0.45 per 1,000 listings
## Capabilities
1. **Hotel Listing Data** — Extract hotel name, address, star rating, Booking.com rating, price range, and amenities.
2. **Price Monitoring** — Track room prices across date ranges, room types, and occupancy configurations.
3. **Review Extraction** — Pull guest reviews with ratings, pros/cons, traveler type, and stay date.
4. **Amenity Lists** — Extract complete amenity lists (wifi, pool, gym, parking) for comparison analysis.
5. **Availability Checking** — Check room availability and pricing for specific date ranges across multiple properties.
## Pipeline
1. **Define targets** — Specify Booking.com URLs, search terms, or categories to scrape
2. **Run scraper** — Apify actor extracts data, handles pagination and rate limits automatically
3. **Process data** — Clean, deduplicate, and enrich the raw output for analysis
4. **Load into CRM** — Push structured data into Neon database with source attribution
## Use Cases
- **Hotel price monitoring:** Track competitor hotel pricing across date ranges. Identify pricing patterns, seasonal trends, and dynamic pricing strategies.
- **Travel planning at scale:** Compare hundreds of hotels by price, rating, and amenities for corporate travel planning or conference hotel blocks.
- **Hospitality market research:** Analyze hotel density, pricing, and ratings by city to identify market opportunities for new properties or services.
- **Review-based quality analysis:** Extract and analyze guest reviews to understand what travelers value most. Identify service gaps across competitor properties.
## Warnings
- Booking.com prices change frequently with dynamic pricing. Captured prices are snapshots — they may differ when actually booking.
- Booking.com has strong anti-scraping measures. Expect occasional CAPTCHAs and blocks. Use residential proxies.
- Prices may vary by your IP location due to geo-pricing. The Apify actor normalizes this but be aware of regional price differences.
## Sample Output
```json
{
  "hotelName": "The Grand Tech Hotel",
  "location": "Austin, TX",
  "starRating": 4,
  "bookingRating": 8.7,
  "totalReviews": 2345,
  "pricePerNight": 189,
  "roomType": "Deluxe King",
  "amenities": [
    "Free WiFi",
    "Pool",
    "Gym",
    "Business Center"
  ],
  "reviewScore": {
    "staff": 9.1,
    "facilities": 8.8,
    "cleanliness": 9.2,
    "location": 9.5
  }
}
```
Download the complete skill file with full implementation details,
agent prompts, and ready-to-run scripts.