# Tripadvisor Reviews Scraper- Fast (`scrapesmith/tripadvisor-reviews-scraper-fast`) Actor

🔥 $0.40/1000⚡ All in One Fast & Affordable Tripadvisor Reviews Scraper – Extract hotel, restaurant, and attraction reviews with ratings, dates, user profiles & more from any Tripadvisor page or search. No proxies needed.

- **URL**: https://apify.com/scrapesmith/tripadvisor-reviews-scraper-fast.md
- **Developed by:** [Scrape Smith](https://apify.com/scrapesmith) (community)
- **Categories:** Real estate, AI, Lead generation
- **Stats:** 48 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## TripAdvisor Reviews Scraper 🏨🍽️🗺️

**Scrape unlimited TripAdvisor reviews from any hotel, restaurant, or attraction — fast, structured, and proxy-free.** Paste one URL or a thousand, set how many reviews you want, and export clean data to JSON, CSV, Excel, or Google Sheets. **No proxies. No login. No code.**

Pull review text, star ratings, sub-ratings, reviewer profiles, trip type, dates, photos and more — from any TripAdvisor regional site worldwide (.com, .co.uk, .fr, .de, .es, .it, and every other domain).

---

### ✨ Why use this TripAdvisor scraper

- **No proxy fees, ever** — runs out of the box with zero proxy setup or surcharge. What you see is what you pay.
- **Go deep** — pull tens of thousands of reviews from a single place, not just the first page.
- **Bulk by design** — drop in hundreds of hotel, restaurant, and attraction URLs in one run.
- **Every field, structured** — 20+ clean columns per review, ready for analysis or AI.
- **Any country** — works on every TripAdvisor regional domain and any review language.
- **Pay only for results** — failed or empty URLs cost you nothing.

---

### 📋 Data you get for every review

| Field | Description |
|---|---|
| `review_id` | Unique TripAdvisor review ID |
| `review_title` | The review headline |
| `review_text` | Full review body |
| `overall_rating` | Star rating the reviewer gave (1–5) |
| `subratings` | Category scores — cleanliness, service, value, location, rooms, sleep quality, food, atmosphere (when the reviewer provided them) |
| `review_date` | Date the review was published |
| `visit_date` | Month the reviewer actually visited |
| `trip_type` | Solo, Couples, Family, Business, or Friends |
| `language` | Language the review was written in |
| `helpful_votes` | How many users marked it helpful |
| `reviewer_display_name` | Reviewer's display name |
| `reviewer_username` | Reviewer's TripAdvisor handle |
| `reviewer_location` | Reviewer's hometown (when public) |
| `reviewer_contributions` | Total reviews/photos the reviewer has posted |
| `reviewer_url` | Link to the reviewer's profile |
| `reviewer_avatar_url` | Reviewer's profile photo |
| `photo_count` | Number of photos attached to the review |
| `owner_responded` | Whether management replied |
| `review_url` | Direct link to the review |
| `place_name` | The hotel / restaurant / attraction name |
| `place_total_reviews` | Total reviews the place has |

Every value is pulled straight from TripAdvisor — **no guessed or fabricated data**. Fields are only empty when TripAdvisor itself has no value (e.g. an anonymous reviewer with no hometown set).

---

### 🎯 Perfect for

- **Hotels, restaurants & hospitality** — monitor guest sentiment and spot service issues early
- **Brand & reputation monitoring** — track what travelers say about your venues over time
- **Competitor research** — benchmark ratings, themes, and complaints at rival properties
- **Market & academic research** — gather large, authentic samples of traveler feedback
- **AI & LLM training data** — feed structured, multilingual review text into your models
- **Sentiment analysis & dashboards** — power BI tools, scorecards, and trend reports
- **Lead generation** — surface dissatisfied guests to win back or retarget
- **Travel & OTA platforms** — enrich listings with social proof and review counts
- **Due diligence** — assess guest experience across a hotel portfolio before investing

---

### 🚀 How to use it (60 seconds, no code)

1. Open any TripAdvisor hotel, restaurant, or attraction page and copy its URL.
2. Paste one or many URLs into **TripAdvisor URLs**.
3. Set **Reviews per Place** — `100` for a sample, `5000`+ to go deep, or higher to pull everything.
4. Click **Start**. Watch reviews stream into your dataset in real time.
5. Export to JSON, CSV, Excel, or XML — or pipe straight to your app via the Apify API.

---

### ⚙️ Input

| Field | What it does |
|---|---|
| **TripAdvisor URLs** | Any Hotel, Restaurant, or Attraction review page from any TripAdvisor regional site (.com, .co.uk, .fr, .de, .es, .it, …) |
| **Reviews per Place** | How many reviews to pull from each URL. Default 100. Set it as high as you like — 5,000, 50,000 — and the scraper keeps paginating until it hits that number or runs out of reviews. |

---

### 📤 Output & integrations

Every review is one row in your dataset. Download as **JSON, CSV, Excel, or XML**, or connect to **Make, Zapier, n8n, Google Sheets**, webhooks, or your own code through the Apify API. Schedule runs to keep a live feed of new reviews.

```json
{
  "place_name": "The Plaza",
  "review_title": "Unforgettable stay",
  "review_text": "From check-in to checkout the service was flawless...",
  "overall_rating": 5,
  "subratings": { "service": 5, "cleanliness": 5, "location": 5, "value": 4 },
  "review_date": "2026-06-07",
  "visit_date": "2026-05",
  "trip_type": "Couples",
  "language": "en",
  "reviewer_display_name": "Jordan M.",
  "reviewer_location": "London, UK",
  "owner_responded": true,
  "review_url": "https://www.tripadvisor.com/ShowUserReviews-..."
}
````

***

### 💰 Pricing

**$0.40 per 1,000 reviews scraped — no proxy fees, ever.** No subscription, no monthly minimum. You only pay for reviews you actually receive; failed URLs and empty pages are free.

***

### ❓ FAQ

**Do I need a TripAdvisor account or login?** No.

**Do I need proxies?** No — it runs proxy-free out of the box, so there are no proxy fees to pay or configure.

**Can I scrape many places at once?** Yes — paste a whole list of URLs and run them in one job.

**How many reviews can I get from one place?** As many as exist — set **Reviews per Place** high and it paginates through tens of thousands.

**Does it work outside the US?** Yes — any TripAdvisor regional domain (UK, France, Germany, Spain, Italy, and more) and any review language.

**How fresh is the data?** Live — reviews are pulled at the moment you run the scraper, newest first.

**Will I be charged for URLs that return nothing?** No. You're billed only per successfully extracted review.

**Can I schedule it?** Yes — use Apify Schedules to run it hourly, daily, or weekly and keep an always-current review feed.

***

### ⚖️ Notes

This scraper collects only **publicly available** review data that anyone can see on TripAdvisor without logging in. Use the data responsibly and in line with applicable laws and TripAdvisor's terms.

# Actor input Schema

## `urls` (type: `array`):

TripAdvisor place URLs to scrape reviews from. Supports Hotel\_Review-, Restaurant\_Review-, Attraction\_Review- pages from any TripAdvisor regional site (.com, .co.uk, .fr, .de, .es, .it, etc.).

## `max_reviews` (type: `integer`):

How many reviews to scrape per URL. Default 100. Set higher to go deeper (e.g. 5000, 50000); the scraper paginates until it hits this number or runs out of reviews.

## Actor input object example

```json
{
  "urls": [
    "https://www.tripadvisor.com/Attraction_Review-g187147-d188151-Reviews-Eiffel_Tower-Paris_Ile_de_France.html",
    "https://www.tripadvisor.com/Hotel_Review-g60763-d113317-Reviews-The_Plaza-New_York_City_New_York.html",
    "https://www.tripadvisor.com/Restaurant_Review-g60763-d426338-Reviews-Eleven_Madison_Park-New_York_City_New_York.html"
  ],
  "max_reviews": 10
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.tripadvisor.com/Attraction_Review-g187147-d188151-Reviews-Eiffel_Tower-Paris_Ile_de_France.html",
        "https://www.tripadvisor.com/Hotel_Review-g60763-d113317-Reviews-The_Plaza-New_York_City_New_York.html",
        "https://www.tripadvisor.com/Restaurant_Review-g60763-d426338-Reviews-Eleven_Madison_Park-New_York_City_New_York.html"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesmith/tripadvisor-reviews-scraper-fast").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "urls": [
        "https://www.tripadvisor.com/Attraction_Review-g187147-d188151-Reviews-Eiffel_Tower-Paris_Ile_de_France.html",
        "https://www.tripadvisor.com/Hotel_Review-g60763-d113317-Reviews-The_Plaza-New_York_City_New_York.html",
        "https://www.tripadvisor.com/Restaurant_Review-g60763-d426338-Reviews-Eleven_Madison_Park-New_York_City_New_York.html",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("scrapesmith/tripadvisor-reviews-scraper-fast").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.tripadvisor.com/Attraction_Review-g187147-d188151-Reviews-Eiffel_Tower-Paris_Ile_de_France.html",
    "https://www.tripadvisor.com/Hotel_Review-g60763-d113317-Reviews-The_Plaza-New_York_City_New_York.html",
    "https://www.tripadvisor.com/Restaurant_Review-g60763-d426338-Reviews-Eleven_Madison_Park-New_York_City_New_York.html"
  ]
}' |
apify call scrapesmith/tripadvisor-reviews-scraper-fast --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapesmith/tripadvisor-reviews-scraper-fast",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Tripadvisor Reviews Scraper- Fast",
        "description": "🔥 $0.40/1000⚡ All in One Fast & Affordable Tripadvisor Reviews Scraper – Extract hotel, restaurant, and attraction reviews with ratings, dates, user profiles & more from any Tripadvisor page or search. No proxies needed.",
        "version": "0.0",
        "x-build-id": "90ymgdPxHeUE02bkx"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapesmith~tripadvisor-reviews-scraper-fast/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapesmith-tripadvisor-reviews-scraper-fast",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapesmith~tripadvisor-reviews-scraper-fast/runs": {
            "post": {
                "operationId": "runs-sync-scrapesmith-tripadvisor-reviews-scraper-fast",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapesmith~tripadvisor-reviews-scraper-fast/run-sync": {
            "post": {
                "operationId": "run-sync-scrapesmith-tripadvisor-reviews-scraper-fast",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "urls"
                ],
                "properties": {
                    "urls": {
                        "title": "TripAdvisor URLs",
                        "type": "array",
                        "description": "TripAdvisor place URLs to scrape reviews from. Supports Hotel_Review-, Restaurant_Review-, Attraction_Review- pages from any TripAdvisor regional site (.com, .co.uk, .fr, .de, .es, .it, etc.).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "max_reviews": {
                        "title": "Reviews per Place",
                        "minimum": 1,
                        "type": "integer",
                        "description": "How many reviews to scrape per URL. Default 100. Set higher to go deeper (e.g. 5000, 50000); the scraper paginates until it hits this number or runs out of reviews.",
                        "default": 10
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
