How to Scrape Booking.com and Airbnb Prices in 2026
By Marcus Reiner · 2026-04-16 · 10 min read · Engineering
Travel pricing is dynamic per IP, per device, per time of day. Here's the stack that captures the real distribution.
Personalization is brutal
Booking and Airbnb both A/B-price by IP geo, currency, device, returning-user signal and time of day. The 'real' price doesn't exist — only a distribution. Your scraper needs to sample that distribution, not pull a single number.
Booking.com
Akamai-protected on detail pages. Use a Web Unlocker (Bright Data or Oxylabs) — the engineer cost of maintaining a custom bypass outweighs the per-request premium. ~$2 per 1k detail pages.
Airbnb
GraphQL endpoint at /api/v3/StaysSearch returns clean JSON with pricing. Hit with residential IPs + valid Apollo persisted-query hashes. Decodo + httpx works at decent volume. ~$0.50 per 1k results.
Sample the distribution
For each property, pull prices from 5+ IPs in different countries. Take the median, not the first read. This kills the 'inflated price to international users' artifact that breaks naive price-tracking dashboards.
Schedule by booking window
Prices for 'check-in in 3 days' move hourly. 'Check-in in 60 days' moves weekly. Don't over-poll the long tail.
FAQ
Are Booking and Airbnb 'public' data?
The prices a logged-out user sees are public. Republishing them is fine; redistributing personal-data fields (host names, reviewer info) is not.