Booking Hotel Search & Review Scraper

Scrape Booking.com hotel search results, hotel detail pages, and review summaries with a browser-first workflow that is built for premium store positioning.

What You Get

• Hotel name
• Hotel URL
• Search location or property location
• Price and visible price text when available
• Review score and review count
• Hotel image
• Review snippet rows when available
• Change events when monitoring is enabled

Why This Actor Is Premium

• It uses a real browser so it can handle Booking.com challenge pages instead of pretending the site is open.
• It keeps the output predictable by capping hotel rows and review rows per input.
• It stores monitoring snapshots in a named key-value store so scheduled runs can compare results cleanly.
• It avoids noisy billing by only writing useful dataset rows.

Quick Start

1. Add one or more search queries such as London or Paris hotels.
2. Optionally add direct Booking.com hotel URLs if you want review-page extraction too.
3. Set your trip dates, adults, rooms, and currency if you want search pages to match a real trip.
4. Keep proxy mode on No proxy for the lowest cost. Switch to Auto fallback to datacenter only if Booking blocks your run.
5. Turn on Monitor changes since last run if you want price, score, and review-count tracking.

Search Mode

Search mode is ideal for market scans and deal monitoring.

The Actor opens Booking.com search pages and extracts:

• hotel rows
• visible prices
• review scores
• review counts
• image URLs
• badges when present

Result Limits

Max hotels per search is an upper cap, not a guaranteed count. The Actor extracts hotel rows that Booking.com exposes on the loaded search page.

• One search may return fewer rows than the requested maximum.
• The Actor does not currently deep-paginate through every Booking.com result page.
• The Actor never writes more than Max hotels per search.
• Users are charged only for rows written to the default dataset.

Cloud benchmarks:

• Lahore, Max hotels per search: 100 produced 51 hotel rows.
• London, Max hotels per search: 100 produced 59 hotel rows.
• New York, Max hotels per search: 200 produced 57 hotel rows.

Review Mode

If you provide direct Booking.com hotel URLs, the Actor also extracts hotel detail data and review snippet rows when they are visible on the page.

That gives you:

• property summary rows
• review snippet rows
• review author fields when Booking exposes them
• review text when available

Monitoring And Billing

Booking monitoring works by saving a snapshot of each search query or hotel URL in a named key-value store.

• First monitoring run creates the baseline only.
• Later runs compare prices, review scores, and review counts.
• Output only the changes writes just the change events.
• The default dataset only receives rows you can use.
• Internal notices and empty runs are stored outside the paid dataset.

Proxy Strategy

Booking.com is protected, so the Actor includes a cost-aware proxy strategy.

• No proxy is the cheapest option and the default.
• Auto fallback to datacenter tries direct access first, then retries with Apify datacenter proxy if Booking blocks the page.
• Datacenter proxy is a stronger option when Booking blocks direct access.
• Residential proxy is the most expensive and should be used only when needed.

For best economics and fair billing, each search has a 50-row minimum. Larger capped runs are more cost efficient per result because the browser startup cost is spread across more hotel rows.

Notes

• Results depend on what Booking.com exposes publicly on the loaded page for the selected query, dates, and region.
• Some hotel pages show review snippets, while others only expose the summary score and review count.
• If Booking changes its markup, the browser-based approach and structured-data fallbacks keep the Actor much more resilient than a one-selector scraper.