Pricing

from $0.20 / 1,000 results

Hotels Reviews Scraper

This Apify Actor is a high-performance scraper designed to extract Hotels/Resorts reviews from popular sites like Expedia, Booking.com, Tripadvisor and more. It scrapes all review pages until the very last review is reached, ensuring a 100% complete dataset regardless of the total review count.

Pricing

from $0.20 / 1,000 results

Rating

0.0

(0)

Developer

datascrapepro

Actor stats

Bookmarked

Total users

Monthly active users

4 months ago

Last modified

Categories

Travel

Developer tools

Automation

You can access the Hotels 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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_term": "Makedonia Palace Hotel",
10    "provider": "expedia",
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("autosoldier/hotels-reviews-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Hotels Reviews Scraper API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Hotels Reviews Scraper API in JavaScript

Hotels Reviews Scraper API through CLI

Hotels Reviews Scraper OpenAPI definition

Hotels Reviews Scraper API

Amazon Complete Reviews Scraper

autosoldier/amazon-complete-reviews-scraper

Extract reviews from page 1 to the last. This is a high-performance scraper designed to extract Amazon product reviews. Unlike standard scrapers, it supports persistent user sessions, allowing you to scrape all review pages until the very last review is reached, ensuring a 100% complete dataset.

datascrapepro

1.0

TripAdvisor Hotels Scraper

rupom888/tripadvisor-hotels-scraper

Syed Rupom

Expedia Hotels & Reviews Scraper - 30+ Global Sites

clearpath/expedia-hotels-scraper-pro

Scrape Expedia hotels with prices, ratings, reviews & amenities from 30+ global sites. Multi-room booking, flexible dates, unlimited hotels & reviews. Ideal for price monitoring, travel platforms & market analysis. $29/month.

ClearPath

Tripadvisor Review Scraper

scrapelabsapi/tripadvisor-review-scraper

ScrapeLabs

Tripadvisor Review Scraper

louvre/tripadvisor-review-scraper

The Tripadvisor Review Scraper is a powerful and easy-to-use actor designed to collect structured review data from Tripadvisor product pages. Whether you’re analyzing customer sentiment, monitoring competitor feedback, or enriching your travel content.

Louvre LLC

Hotels.com Hotels Scraper

rupom888/hotels-com-scraper

Syed Rupom

Expedia Hotels + Reviews

abotapi/expedia-universal-scraper

From $1/1K. Extract hotel listings and reviews from Expedia.com. Get comprehensive data, including prices, ratings, review text, photos, and location details for any destination.

AbotAPI

5.0

Review Scraper for Tripadvisor

scrapeengine/tripadvisor-review-scraper

ScrapeEngine

Tripadvisor Reviews Extractor

mikolabs/tripadvisor-reviews-scraper-extractor

The TripAdvisor scraper is designed to extract review data using customizable queries and filters. Supports extraction of ratings, traveler types, review dates, and review content with multiple sorting options and keyword filtering for targeted data collection.