Fast Booking Scraper
by voyager
Scrape Booking with this hotel scraper and get data about accommodation on Booking.com. Extract data by keywords or URLs for hotel prices, ratings, lo...
Opens on Apify.com
About Fast Booking Scraper
Scrape Booking with this hotel scraper and get data about accommodation on Booking.com. Extract data by keywords or URLs for hotel prices, ratings, location, number of reviews, stars. Scrape and download data from Booking.com in JSON, Excel, HTML ,and CSV.
What does this actor do?
Fast Booking Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
🏎 What does Fast Booking Scraper do? This web scraping tool expands Booking data extraction beyond the official Booking.com limitations. Our Fast Booking Scraper allows you to scrape over 1,000 basic listings data at once from the Booking.com search. To scrape the full details of each listing separately, use our dedicated Booking Scraper. ## 🧳 What data can I scrape from Booking search?
| 🏖 Hotel name | 📍 Location |
| 💵 Price and currency | 🌆 Image URLs |
| ✍️ Number of reviews | ⭐️ Rating and stars |
| 🛏 Room types | 🧑🦰 Number of persons |
checkIn and checkOut dates. The reason for this is that Booking.com only shows complete room and pricing info when dates are indicated. 3️⃣ Sometimes Booking.com may return some suggested hotels outside of the expected city/region as a recommendation. The scraper will return all of them in the data results, so you may get more results than expected for your search. ## ⬆️ Output example The scraped Booking listings will be shown as a dataset which you can find in the Storage tab. Note that the output is organized as a table for viewing convenience:
You can preview all the fields and choose in which format to download the data you’ve extracted: JSON, Excel, HTML table, CSV, or XML. Here below is the same dataset in JSON:
json [ { "url": "https://www.booking.com/hotel/us/trump-international-new-york.html?selected_currency=USD&changed_currency=1&lang=en-us&group_adults=2&no_rooms=1&checkin=2023-09-01&checkout=2023-09-02&nflt=price%3DUSD-0-999999-1", "name": "Trump International New York", "address": "Upper West Side, New York", "rating": 8.9, "reviews": 1064, "stars": 5, "price": 775, "currency": "US$", "roomType": "Deluxe King Room", "persons": 2, "image": "https://cf.bstatic.com/xdata/images/hotel/square200/78707107.webp?k=00573a915d7f50fb3d2ba3ffd63b5fc0e31c5c3e89f1246e83bd166e91bf2595&o=" }, { "url": "https://www.booking.com/hotel/us/monderne.html?selected_currency=USD&changed_currency=1&lang=en-us&group_adults=2&no_rooms=1&checkin=2023-09-01&checkout=2023-09-02&nflt=price%3DUSD-0-999999-1", "name": "Moderne Hotel", "address": "Manhattan, New York", "rating": 7.9, "reviews": 721, "stars": 4, "price": 609, "currency": "US$", "roomType": "Deluxe Room", "persons": 2, "image": "https://cf.bstatic.com/xdata/images/hotel/square200/63338224.webp?k=c28959d8a2fd35027eac230d8268064a11c418605ec99a7f052df6f9311d2581&o=" }, { "url": "https://www.booking.com/hotel/us/the-manhattan-club.html?selected_currency=USD&changed_currency=1&lang=en-us&group_adults=2&no_rooms=1&checkin=2023-09-01&checkout=2023-09-02&nflt=price%3DUSD-0-999999-1", "name": "The Manhattan Club", "address": "Manhattan, New York", "rating": 8.1, "reviews": 2443, "stars": 4, "price": 413, "currency": "US$", "roomType": "Executive Junior Suite", "persons": 2, "image": "https://cf.bstatic.com/xdata/images/hotel/square200/202656761.webp?k=4bde2fc628012ddb1db86ca81e2e3ea682e55197a766a8d51c246b0ffe09685a&o=" }, ## ⭐️ Need to scrape reviews from Booking.com? Use a dedicated ⭐️ Booking Reviews Scraper. It was built to extract review text, ratings, stars, basic reviewer info, length of stay, liked/disliked parts, room info, date of stay, and more for each listing. ## ❓FAQ ### What are the disadvantages of the Booking API? The Booking.com API interface is quite user-friendly, but getting that data in machine-processable format is no easy task. Booking.com places a lot of restrictions on how data can be collected from its listings, one of them being that Booking.com will display a maximum of 1,000 results for any given search. Our Fast Booking Scraper doesn't impose any limitations on your results, so you can scrape data from Booking.com at scale. ### Is it legal to scrape listings on Booking.com? Yes. However, you should note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. We also recommend that you read our blog post: is web scraping legal? ### Can I integrate Fast Booking Scraper with other apps? Yes. Fast Booking Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Zapier, Slack, Make, LangChain, Airbyte, GitHub, Google Sheets, Google Drive, and and with other Actors. Or you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever this scraper successfully finishes a run. ### Can I use Fast Booking Scraper with API? Yes. You can use Apify API to get programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify actors. The API also lets you access any datasets, monitor Actor performance, fetch results, create and update versions, and more. To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the apify-client PyPI package. Check out the Apify API reference docs for full details or click on the API tab for code examples. You can also follow this video guide.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Fast Booking Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- voyager
- Pricing
- Paid
- Total Runs
- 34,673
- Active Users
- 1,242
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