A Booking.com scraper for guest reviews
Pull guest reviews for Booking.com hotels.
The Kavex Booking.com reviews scraper exports guest reviews for any hotel. Provide Booking.com hotel URLs and it paginates the review list, returning each review with its reviewer, country, score, stay date and the liked / disliked text. It is built for reputation tracking and hospitality research.
A RUN OF 1,000 REVIEWS ON THIS SOURCE, AT 1 PER REVIEW
Say what you want. Read the price first.
Everything else is a ceiling or a filter. The estimate moves with the numbers you type, so the run never surprises you at the end.
For each hotel URL you provide, the scraper paginates Booking.com's review list and returns one row per review: reviewer name, country, the review score, the stay date, the room type and the separate "liked" and "disliked" comments.
A per-hotel cap controls depth. Pair it with the review sentiment add-on to score each review automatically.
Charged per delivered row. If the source holds fewer than you asked for, the rest of the credits go back to your balance the second the run ends.
One thousand reviews, itemised.
The base run, then every add-on as its own line. Nothing is bundled, so you can read the bill from top to bottom.
| Line | Rate | Units | Credits |
|---|---|---|---|
| Booking Reviews | 1 / review | 1,000 reviews | 1,000 |
| +Review sentiment | 0.5 / review | 1,000 reviews | 500 |
| +Review summary | 5 / business | 1,000 businesses | 5,000 |
| 1,000 enriched reviews | 6.5 / review | 6,500 credits | $6.50 |
$0.0065 PER FINISHED REVIEW · AN ADD-ON IS BILLED ON THE ROWS IT ACTUALLY ENRICHED, SO A REAL BILL LANDS UNDER THIS
What people point it at.
Four ways this source is used today. Every one of them is the same run, the same export and the same credit pool.
- Reputation tracking, monitor how a hotel's reviews trend.
- Competitive research, read exactly why guests rate a rival up or down.
- Hospitality analysis, mine review themes across a set of properties.
The rest of the reviews & reputation stack.
Same credit pool, same export. Chain the output of one run into the next without paying for the list twice.
Asked before the first run.
Short answers, no accordion to click through. If something is still missing, the help pages go deeper.
What input does it take?
Booking.com hotel URLs (booking.com/hotel/...), one per line.
Does it split positive and negative feedback?
Yes, Booking.com captures "liked" and "disliked" separately, and both are returned as their own fields.
How many reviews per hotel?
You set a per-hotel cap and the scraper paginates the review list up to it.