# Tiqets Reviews Scraper (`knagymate/tiqets-reviews-scraper`) Actor

Scrape customer reviews from Tiqets product and location pages. Extract ratings, review text, reviewer details, traveler type, helpful votes, images, and product metadata. Supports multiple languages, sorting, cutoff date filtering, and structured JSON export for analytics and AI.

- **URL**: https://apify.com/knagymate/tiqets-reviews-scraper.md
- **Developed by:** [knagymate](https://apify.com/knagymate) (community)
- **Categories:** Travel, Developer tools, Automation
- **Stats:** 6 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Tiqets Reviews Scraper

Scrape customer reviews from **Tiqets product and location pages in 17
languages**.

Extract structured review data from museums, attractions, landmarks,
city passes, guided tours, and theme parks listed on Tiqets.

This scraper supports multilingual review extraction, making it ideal
for international market research, analytics pipelines, and AI training
datasets.

***

### 🌍 Supported Languages

- English (en)
- Catalan (ca)
- Czech (cs)
- Danish (da)
- German (de)
- Greek (el)
- Spanish (es)
- French (fr)
- Korean (ko)
- Italian (it)
- Dutch (nl)
- Japanese (ja)
- Portuguese (pt)
- Polish (pl)
- Russian (ru)
- Swedish (sv)
- Chinese (zh)

You can scrape reviews in any language available on the Tiqets frontend.

***

### 📦 Extracted Data Fields

- Review ID
- Review date
- Rating (1--5)
- Reviewer name
- Reviewer country
- Review text
- Review language
- Helpful votes
- Traveler type
- Product title
- Product URL
- Review image URLs

All results are returned in structured JSON format, suitable for export
to CSV, Excel, BI tools, or API integrations.

***

### ⚙ Input Parameters

#### Required

- `startUrl` --- Tiqets product or location page URL

#### Optional

- `maxReviews` --- Maximum number of reviews to collect
- `sortBy` --- Sorting option:
  - most\_relevant\_first
  - most\_recent\_first
  - oldest\_first
  - highest\_rated\_first
  - lowest\_rated\_first
- `language` --- Review language (see supported languages above)
- `cutoffDate` --- Return only reviews posted on or after a specified
  date

***

### 📄 Output Example

Below is a real example of a scraped Tiqets review:

```json
{
  "id": 2405856,
  "date": "2026-02-20 00:00:00",
  "rating": 5,
  "reviewerName": "Federica",
  "country": "Italy",
  "images": [
    "https://aws-tiqets-cdn.imgix.net/images/reviews/38d321fef0904f26aa3ebd29a1eb098a?auto=format%2Ccompress&fit=crop&q=70&s=a1e948e7eaa8a14bd7ca491eff50361d",
    "https://aws-tiqets-cdn.imgix.net/images/reviews/ed642ab203c04f78bf7f27e6f0d686be?auto=format%2Ccompress&fit=crop&q=70&s=3c9dfdf7d2f4169bab7cf31770113ed6",
    "https://aws-tiqets-cdn.imgix.net/images/reviews/3a67fe628d184d869d600184c4bfd4da?auto=format%2Ccompress&fit=crop&q=70&s=1d51b9de7b8d29b89615c7db72dbdd16"
  ],
  "content": "Abbiamo visitato la Sagrada Familia con Mary, è stata precisa, chiara e super competente! Italiano chiaro e lei super gentile! Ve la consiglio, ci ha fatto vivere un’esperienza fantastica!",
  "language": "it",
  "totalHelpfulReviews": 0,
  "travelerType": "partner",
  "productTitle": "Go With A Local: Skip The Line Sagrada Família Guided Tour in Italian",
  "productUrl": "/en/barcelona-attractions-c66342/tickets-for-sagrada-familia-guided-tour-in-italian-p1014572/"
}
```

***

### 🧠 Use Cases

#### Travel & Tourism Market Research

Analyze multilingual customer feedback across attractions and
destinations.

#### Sentiment Analysis & AI Applications

Use structured Tiqets review data to train NLP models or power
recommendation engines.

#### Competitive Benchmarking

Compare multiple attractions within the same destination.

#### Reputation Monitoring

Track how products and venues perform over time.

***

### 📤 Export & Integration

After the run completes, you can:

- Download JSON
- Export CSV
- Export Excel
- Access data via API
- Connect to BI dashboards
- Store in data warehouses
- Feed into AI pipelines

***

### Important Notes

- Only publicly available reviews are collected.
- Not all products contain reviews.
- Some reviews may not include images.
- Ensure compliance with applicable laws and platform terms when using
  scraped data.

***

**Tiqets Reviews Scraper** provides scalable, multilingual access to
structured attraction review data for analysts, agencies, developers,
and travel-tech teams.

# Actor input Schema

## `startUrl` (type: `string`):

URL of the Tiqets product or location page to scrape reviews from.

## `maxReviews` (type: `integer`):

Maximum number of reviews to scrape.

## `sortBy` (type: `string`):

Order in which reviews are returned.

## `language` (type: `string`):

Language in which reviews should be returned.

## `cutoffDate` (type: `string`):

Return only reviews posted on or after this date. If set, reviews are automatically sorted by MOST\_RECENT\_FIRST and scraping stops once the cutoff date is reached.

## Actor input object example

```json
{
  "startUrl": "https://www.tiqets.com/en/rome-pantheon-tickets-l142007/",
  "maxReviews": 100,
  "sortBy": "most_relevant_first",
  "language": "en"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "maxReviews": 100,
    "sortBy": "most_relevant_first",
    "language": "en"
};

// Run the Actor and wait for it to finish
const run = await client.actor("knagymate/tiqets-reviews-scraper").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 = {
    "maxReviews": 100,
    "sortBy": "most_relevant_first",
    "language": "en",
}

# Run the Actor and wait for it to finish
run = client.actor("knagymate/tiqets-reviews-scraper").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 '{
  "maxReviews": 100,
  "sortBy": "most_relevant_first",
  "language": "en"
}' |
apify call knagymate/tiqets-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/z67rfUWQpEj8Uef7U/builds/XiXt7vSrWShhfzvdh/openapi.json