Booking.com Reviews Scraper (Pay per Result) avatar
Booking.com Reviews Scraper (Pay per Result)

Deprecated

Pricing

$1.00 / 1,000 reviews

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Booking.com Reviews Scraper (Pay per Result)

Booking.com Reviews Scraper (Pay per Result)

Deprecated

Developed by

Caprolok

Caprolok

Maintained by Community

๐Ÿ“˜ Booking.com Reviews Scraper is a robust tool for extracting detailed data from Booking.com reviews. Capture ๐Ÿจ hotel and room details, ๐ŸŒŸ review scores, ๐Ÿ‘ค user info, and ๐Ÿ‘๐Ÿ‘Ž feedback. Ideal for market research, sentiment analysis, and performance evaluation. Export in JSON, CSV, or Excel.

0.0 (0)

Pricing

$1.00 / 1,000 reviews

0

Total users

18

Monthly users

4

Last modified

8 months ago

You can access the Booking.com Reviews Scraper (Pay per Result) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโ€™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("๐Ÿ’พ 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# ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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: