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Fast Booking Scraper
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Pay $2.00 for 1,000 results
View all Actors![Fast Booking Scraper](https://images.apifyusercontent.com/kt6jKWhphM7gKacr6iIPAfH5DY9L3PrOAqXOTLNg258/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9RR2NKdlF5RzlOcU1LVFlQSC9haWY5NkZIdWhEc2ZGMnlTai1Cb29raW5nX0Zhc3RfU2NyYXBlci5wbmc.webp)
![Fast Booking Scraper](https://images.apifyusercontent.com/kt6jKWhphM7gKacr6iIPAfH5DY9L3PrOAqXOTLNg258/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9RR2NKdlF5RzlOcU1LVFlQSC9haWY5NkZIdWhEc2ZGMnlTai1Cb29raW5nX0Zhc3RfU2NyYXBlci5wbmc.webp)
Fast Booking Scraper
voyager/fast-booking-scraper
Try for free
Pay $2.00 for 1,000 results
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.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "search": "New York",
9 "maxItems": 10,
10 "sortBy": "distance_from_search",
11 "starsCountFilter": "any",
12 "currency": "USD",
13 "language": "en-gb",
14 "minMaxPrice": "0-999999",
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("voyager/fast-booking-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start