Fast Booking Scraper
Pricing
$2.00 / 1,000 results
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.
4.0 (4)
Pricing
$2.00 / 1,000 results
10
Monthly users
43
Runs succeeded
74%
Last modified
a month ago
You can access the Fast Booking Scraper programmatically from your own 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/fast-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🚕 Scrape hotel data fast API in Python
The Apify API client for Python is the official library that allows you to use Fast Booking Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$2.00
