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Booking Scraper

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Pay $5.00 for 1,000 results

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Booking Scraper

Booking Scraper

voyager/booking-scraper
Try for free

Pay $5.00 for 1,000 results

Scrape Booking with this hotels scraper and get data about accommodation on Booking.com. You can crawl by keywords or URLs for hotel prices, ratings, addresses, number of reviews, stars. You can also download all that room and hotel data from Booking.com with a few clicks: CSV, JSON, HTML, and Excel

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You can access the Booking Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "search": "New York",
10    "maxItems": 10,
11    "sortBy": "distance_from_search",
12    "starsCountFilter": "any",
13    "currency": "USD",
14    "language": "en-gb",
15    "minMaxPrice": "0-999999",
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("voyager/booking-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

🛎 Booking hotel Scraper API in Python

The Apify API client for Python is the official library that allows you to use Booking Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Apify

Actor Metrics

  • 149 monthly users

  • 33 stars

  • 98% runs succeeded

  • 9.2 days response time

  • Created in Aug 2023

  • Modified 5 days ago

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