Booking.com Scraper [💰$2.5/1K] | Hotel Reviews | Sentiment

Booking.com Review Scraper

Scrape guest reviews from any Booking.com hotel page and run sentiment analysis on guest feedback at scale. This Booking.com review scraper extracts ratings, reviewer details, stay dates, and full review text from thousands of hotel listings — perfect for hospitality analytics and reputation management.

---

Use Cases

• Sentiment Analysis — Analyze guest feedback to identify strengths, weaknesses, and recurring themes across reviews.
• Competitor Benchmarking — Compare your hotel's review profile against competitors and track rating trends.
• Guest Experience Research — Understand what guests truly value by mining detailed review data from Booking.com.
• Market Research — Gather hospitality market intelligence across regions, chains, and price segments.
• Review Monitoring — Set up recurring runs to track new reviews and respond to guest concerns quickly.
• Reputation Auditing — Generate comprehensive reputation reports for any Booking.com-listed property.

---

How It Works

Looking for a Booking.com review scraper or a practical Booking.com API alternative? Paste a Booking.com hotel page URL and get structured guest feedback for sentiment analysis, competitor benchmarking and reputation monitoring. Each record includes a review ID, score, title, full text, date, reviewer country, room type, stay type and nights. The actor fetches 25 reviews per page and works in parallel, so even hotels with thousands of reviews finish in under a minute.

Use the dataset to compare properties, track rating trends, find recurring complaints and feed hospitality dashboards. Export as JSON, CSV or Excel, or pull results through the Apify API. Start with one hotel, then pay from $2.50 per 1,000 reviews.

Input

Field	Type	Default	Description
startUrl	string	required	Full Booking.com hotel page URL (e.g. https://www.booking.com/hotel/ba/courtyard-by-marriott-sarajevo.en-gb.html)
maxItems	integer	250	Maximum number of reviews to collect. Set to 0 to fetch all reviews
concurrency	integer	8	Number of review pages fetched at the same time. Higher is faster; 5-10 recommended
proxy	object	Apify Proxy	Apify Proxy (automatic) or custom proxies. Residential proxies are more reliable for large runs. If an IP exposes only a subset of reviews, the actor rotates sessions automatically

Proxy Configuration

{
  "proxy": {
    "useApifyProxy": true
  }
}

If the hotel page redirects to search results, switch to residential proxies:

{
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

---

Output

Each item in the dataset represents one guest review:

Field	Type	Description
reviewUrl	string	Booking.com review identifier/hash
user	string	Guest name (as displayed on Booking.com)
country	string	Guest's home country
countryCode	string	Guest's country code (ISO 3166-1 alpha-2)
guestType	string	Travel type — solo, couple, family, business, group
userReviewCount	integer	Number of reviews written by this guest
score	number	Overall review score (1–10 scale)
title	string	Review headline/title
positive	string	What the guest liked
negative	string	What the guest disliked
lang	string	Review language code
helpfulVotesCount	integer	Number of "helpful" votes
partnerReply	string	Hotel's reply to the review, if any
roomType	string	Type of room stayed in
nights	integer	Number of nights stayed
checkinDate	string	Check-in date (YYYY-MM-DD)
checkoutDate	string	Check-out date (YYYY-MM-DD)
customerType	string	Booking.com customer type (e.g. COUPLES)
reviewedDate	string	Date the review was posted (ISO 8601)

---

Example

Input

{
  "startUrl": "https://www.booking.com/hotel/ba/courtyard-by-marriott-sarajevo.en-gb.html",
  "maxItems": 0,
  "concurrency": 10,
  "proxy": { "useApifyProxy": true }
}

Output (excerpt)

[
  {
    "reviewUrl": "a2245e48282de645",
    "user": "Ahmed",
    "countryCode": "eg",
    "country": "Egypt",
    "guestType": "Couple",
    "userReviewCount": 12,
    "score": 10,
    "title": "Staff room etc all was exceptional.",
    "positive": "All was very well..",
    "negative": "Nothing.",
    "lang": "en",
    "helpfulVotesCount": 0,
    "partnerReply": null,
    "roomType": "Twin Room",
    "nights": 1,
    "checkinDate": "2026-10-25",
    "checkoutDate": "2026-10-26",
    "customerType": "COUPLES",
    "reviewedDate": "2026-10-30T18:06:17.000Z"
  },
  {
    "reviewUrl": "b93c1f7d20a1e4c8",
    "user": "Maria S.",
    "countryCode": "de",
    "country": "Germany",
    "guestType": "Solo traveller",
    "userReviewCount": 4,
    "score": 8.5,
    "title": "Great location, good value",
    "positive": "Excellent location right in the city center. The staff were friendly and helpful.",
    "negative": "The walls are thin, could hear neighbours.",
    "lang": "en",
    "helpfulVotesCount": 1,
    "partnerReply": "Thank you for your feedback, Maria!",
    "roomType": "Double Room",
    "nights": 2,
    "checkinDate": "2026-08-10",
    "checkoutDate": "2026-08-12",
    "customerType": "SOLO_TRAVELLER",
    "reviewedDate": "2026-08-15T09:12:44.000Z"
  }
]

---

Integrations

This actor pairs well with other Apify tools for end-to-end hospitality analytics workflows:

• FAST Booking.com Hotel Scraper — Scrape hotel details, pricing, and availability alongside reviews.
• Booking.com Hotel Details Scraper — Extract hotel metadata (amenities, address, photos) to enrich review data.
• Google Sheets Actor — Export review datasets directly to Google Sheets for team sharing.
• Sentiment Analysis Actors — Feed extracted review text into NLP actors for automated sentiment scoring.
• Slack / Email Notifiers — Set up alerts when new negative reviews are detected.

---

FAQ

How many reviews can I scrape per run? The actor fetches 25 reviews per page and runs pages in parallel. With the default maxItems of 250 you get up to 250 reviews; set maxItems to 0 to fetch every review for the hotel (thousands of reviews are usually collected in under a minute). Booking.com sometimes returns only a subset of reviews to certain proxy IPs (for example 375 of 878). The actor detects this by comparing the API count with the hotel page, closes the session and retries with a new proxy IP (up to 5 attempts) until it gets the full count. If your requested maxItems is already available from the current IP, no rotation is needed.

How fast is it? Typical runs finish in 20–60 seconds: roughly 5–20 seconds to pass Booking.com's WAF challenge, then a few seconds for all review pages (8 pages are fetched in parallel by default).

Does this work for hotels outside the UK? Yes. The actor handles Booking.com hotel pages across all countries and languages.

Can I scrape reviews from multiple hotels? Provide one hotel URL per run. For multiple hotels, call the actor in a loop or use Apify's actor chaining feature.

Is the data publicly available? Yes. This actor only extracts review data that is publicly visible on Booking.com hotel pages.

What proxy should I use? Apify Proxy with the automatic (datacenter) group works for most hotels. If the page redirects to search results, use the RESIDENTIAL group or a custom residential/mobile proxy. If every attempt returns fewer reviews than the hotel page shows, use a custom proxy from another country.

The actor says the hotel redirected to search results. Why? Either the hotel is closed/delisted on Booking.com (open the URL in your browser to verify), or the current IP is blocked. Try a residential proxy or run it locally on your home internet.

Can I run this on a schedule? Yes. Use Apify Scheduler to run the actor daily or weekly and monitor review trends over time.

---

SEO Keywords

booking.com review scraper, hotel reviews data, guest review extraction, sentiment analysis hotel, booking.com api alternative, hotel review data, guest feedback extraction, hospitality analytics, hotel sentiment tracking, review monitoring, competitor hotel reviews, booking.com data, hotel reputation management, guest experience data, travel review scraping, hotel review extractor, booking.com reviews api, hotel review sentiment, hospitality data mining, booking hotel reviews

---

For AI Agents

This actor is designed for integration into AI-powered hospitality analysis pipelines.

Input: Single JSON object with startUrl (Booking.com hotel review page URL), optional maxItems, concurrency and proxy.

Output: JSON dataset of structured review objects. Each review includes rating, text, reviewer metadata, stay details, and source URL.

Chaining: Pipe output into sentiment analysis actors (VADER, BERT-based) for automated scoring. Combine with hotel detail scrapers for enriched datasets.

Scheduling: Use Apify Scheduler for weekly review monitoring. Store datasets over time for trend analysis.

Rate limits: Each page contains 25 reviews; maxItems: 0 fetches all of them. Pricing is $0.0025 per result.

---

Legal Disclaimer

This actor extracts publicly available review data from Booking.com hotel pages. It does not bypass authentication, access private data, or circumvent access controls. Users are responsible for ensuring their use complies with Booking.com's Terms of Service and applicable data protection regulations (GDPR, CCPA). Use extracted data only for legitimate business intelligence, analytics, and research purposes. The developer assumes no liability for misuse of scraped data.

Related Actors

Verified related actors on Apify that pair well with this one. All links point to real, publicly available actors.

• Tripadvisor Reviews
• Trustpilot Reviews
• Google Maps Reviews