Booking.com Reviews Scraper
Pricing
from $2.00 / 1,000 review scrapeds
Extract Booking.com guest reviews at scale — 24 structured fields per review (positive/negative text, score, traveler type, room, reviewer profile, owner response). Feed hotel URLs or a destination name, get ready-to-analyze JSON. MCP-ready for Claude, Cursor, ChatGPT, and AI agents.
You can access the Booking.com Reviews 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "startUrls": [{ "url": "https://www.booking.com/hotel/cz/jeromehouse.en-gb.html" }],10 "searchQuery": "",11 "checkIn": "",12 "checkOut": "",13 "maxReviewsPerHotel": 100,14 "maxHotelsFromSearch": 5,15 "sortReviewsBy": "f_relevance",16 "filterByScore": "f_all_reviews",17 "filterByTravelerType": "",18 "filterByLanguage": "",19 "cutoffDate": "",20 "proxyConfiguration": { "useApifyProxy": True },21}22
23# Run the Actor and wait for it to finish24run = client.actor("khadinakbar/booking-reviews-scraper").call(run_input=run_input)25
26# Fetch and print Actor results from the run's dataset (if there are any)27print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])28for item in client.dataset(run["defaultDatasetId"]).iterate_items():29 print(item)30
31# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Booking.com Reviews Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: