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Booking.com Reviews Scraper (Pay per Result)

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Pay $1.00 for 1,000 reviews

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Booking.com Reviews Scraper (Pay per Result)

Booking.com Reviews Scraper (Pay per Result)

caprolok/booking-com-reviews-scraper-pay-per-result
Try for free

Pay $1.00 for 1,000 reviews

📘 Booking.com Reviews Scraper is a robust tool for extracting detailed data from Booking.com reviews. Capture 🏨 hotel and room details, 🌟 review scores, 👤 user info, and 👍👎 feedback. Ideal for market research, sentiment analysis, and performance evaluation. Export in JSON, CSV, or Excel.

You can access the Booking.com Reviews Scraper (Pay per Result) 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 = { "reviewUrls": [{ "url": "https://www.booking.com/hotel/cz/jeromehouse.en-gb.html" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("caprolok/booking-com-reviews-scraper-pay-per-result").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Booking.com Reviews Scraper (Pay per Result) API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

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  • 8 monthly users

  • 0 No stars yet

  • 95% runs succeeded

  • 3.7 days response time

  • Created in Jul 2024

  • Modified 17 days ago

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