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Booking.com Hotel Reviews Scraper
Extract hotel reviews from Booking.com, anti-bot bypass
Scrape guest reviews from any Booking.com hotel page. Paste in one or more hotel URLs and get back reviewer name, nationality, score, review title, positive/negative text, room type, trip purpose, and date — all in a clean structured dataset. Built to handle Booking.com's AWS WAF anti-bot system using camoufox (Firefox-based) + a raw HTTP body capture trick that grabs the full Apollo/GraphQL cache before the page's JS can interfere. Pay-per-event pricing at $1 per 1,000 reviews scraped.
Hey PH! 👋
I built this because Booking.com is one of the most bot-hostile sites on the internet — AWS WAF with JA3/JA4 TLS fingerprinting, plus an anti-bot JS payload that kills your browser context 18-30 seconds after the WAF challenge clears.
The trick that made it work: capturing the raw HTTP response body via Playwright's response.body() before the browser context gets destroyed. Booking.com embeds the full GraphQL/Apollo cache (~1.7MB) as a JSON blob in the page's HTML. Parse that and you get every review without needing any DOM interaction at all.
It runs on Apify's infrastructure with residential proxies and camoufox (Firefox-based browser) to pass TLS fingerprinting checks. Pay-per-event pricing at $1/1k reviews — no flat monthly fee.
If you want to dig into exactly how it works, I wrote up the full technical breakdown: https://dev.to/dbott23/how-booki...
Happy to answer any questions!
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About Booking.com Hotel Reviews Scraper on Product Hunt
“Extract hotel reviews from Booking.com, anti-bot bypass”
Booking.com Hotel Reviews Scraper was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #124 on the daily leaderboard. Scrape guest reviews from any Booking.com hotel page. Paste in one or more hotel URLs and get back reviewer name, nationality, score, review title, positive/negative text, room type, trip purpose, and date — all in a clean structured dataset. Built to handle Booking.com's AWS WAF anti-bot system using camoufox (Firefox-based) + a raw HTTP body capture trick that grabs the full Apollo/GraphQL cache before the page's JS can interfere. Pay-per-event pricing at $1 per 1,000 reviews scraped.
Booking.com Hotel Reviews Scraper was featured in Productivity (659.6k followers), Developer Tools (518.6k followers) and Data & Analytics (5.8k followers) on Product Hunt. Together, these topics include over 242.8k products, making this a competitive space to launch in.
Who hunted Booking.com Hotel Reviews Scraper?
Booking.com Hotel Reviews Scraper was hunted by Darren Spriet. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Booking.com Hotel Reviews Scraper stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Darren Spriet