TripAdvisor Review Scraper

Pricing

$25.00/month + usage

TripAdvisor Review Scraper

The TripAdvisor Review Scraper enables you to extract detailed review data from TripAdvisor establishments based on location queries. This powerful tool collects comprehensive review information including ratings, detailed feedback, and granular scoring across multiple categories.

Pricing

$25.00/month + usage

Rating

0.0

(0)

Developer

GetDataForMe

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

7 months ago

Last modified

Categories

Automation

Lead generation

Real estate

You can access the TripAdvisor Review 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    "urls": ["https://www.tripadvisor.com/AttractionProductReview-g297390-d14080946-or10-Small_Group_Explore_Angkor_Wat_Sunrise_Tour_with_Guide_from_Siem_Reap-Siem_Re.html"],
10    "itemLimit": 100,
11    "proxyConfiguration": {
12        "useApifyProxy": True,
13        "apifyProxyGroups": ["RESIDENTIAL"],
14    },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("getdataforme/tripadvisor-review-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

TripAdvisor Review Scraper API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

TripAdvisor Review Scraper API in JavaScript

TripAdvisor Review Scraper API through CLI

TripAdvisor Review Scraper OpenAPI definition

TripAdvisor Review Scraper API

Tripadvisor Review Scraper

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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.

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Get clean Tripadvisor review data for research. This actor collects comments, star ratings, reviewer details, timestamps, and listing info. Ideal for hospitality insights, market evaluation, and customer experience analysis.

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api-empire/tripadvisor-review-scraper

Collect structured Tripadvisor review data with ease. The actor gathers review text, star ratings, timestamps, reviewer profiles, and helpful votes. Ideal for analysts, agencies, and businesses needing deep customer insights.

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Effortlessly extract detailed TripAdvisor hotel reviews with comprehensive data including ratings, user information, and detailed feedback. Perfect for market research, competitor analysis, and hospitality insights. 🏨✨

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🦉 Tripadvisor Reviews Extractor

jupri/tripadvisor-reviews

💫 Scrape 📝 Reviews from Tripadvisor.com

cat

Tripadvisor Review Scraper

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A specialized Apify actor that extracts detailed reviews from TripAdvisor hotels, restaurants, and attractions. Features advanced anti-bot measures, residential proxy support, and comprehensive review data extraction.

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scraper-mind/tripadvisor-email-scraper

TripAdvisor Email Scraper – Extract TripAdvisor emails fast & accurately! 🔍 Search by keywords, location & domain to find targeted contacts. Supports TripAdvisor listings ✅ Proxy support for seamless scraping. 📊 Download in JSON, CSV, Excel. Ideal for lead gen, travel marketing & outreach!