# Analyze reviews in French, Spanish and German at once

**Use case:** 

Mixed-language reviews in one run: each review is read in its own language (here French, Spanish, German and English), and the themes, severity, unanswered complaints and summary come back in English labels, so a multi-country business compares its sites on one scale. The sample uses fictional reviews of a hotel.

## Input

```json
{
  "reviews": [
    {
      "text": "Chambre impeccable et petit-déjeuner excellent, le personnel était adorable.",
      "rating": 5,
      "placeName": "Hotel Miramar (sample)",
      "category": "Hotel",
      "date": "2026-09-10"
    },
    {
      "text": "La habitación olía a humedad y el aire acondicionado no funcionaba. Nadie nos dio una solución.",
      "rating": 1,
      "placeName": "Hotel Miramar (sample)",
      "category": "Hotel",
      "date": "2026-09-24"
    },
    {
      "text": "Tolle Lage direkt am Strand, aber nachts sehr laut wegen der Bar.",
      "rating": 3,
      "placeName": "Hotel Miramar (sample)",
      "category": "Hotel",
      "date": "2026-09-18"
    },
    {
      "text": "Great value for the location, friendly staff.",
      "rating": 4,
      "placeName": "Hotel Miramar (sample)",
      "category": "Hotel",
      "date": "2026-08-27",
      "reply": "Thank you, we hope to welcome you again!"
    },
    {
      "text": "On nous a facturé une nuit de plus et la réception refuse de rembourser.",
      "rating": 1,
      "placeName": "Hotel Miramar (sample)",
      "category": "Hotel",
      "date": "2026-10-02"
    },
    {
      "text": "Das Frühstück war gut, das Zimmer etwas klein.",
      "rating": 3,
      "placeName": "Hotel Miramar (sample)",
      "category": "Hotel",
      "date": "2026-07-30"
    }
  ],
  "businessType": "hotel",
  "maxReviews": 500,
  "maxReviewsPerPlace": 100,
  "includeReviewText": true
}
```

## Output

```json
{
  "placeName": {
    "label": "Business",
    "format": "string"
  },
  "reviewsAnalyzed": {
    "label": "Reviews",
    "format": "integer"
  },
  "averageRating": {
    "label": "Rating",
    "format": "number"
  },
  "negativeShare": {
    "label": "Negative share",
    "format": "number"
  },
  "unansweredComplaints": {
    "label": "Unanswered complaints",
    "format": "integer"
  },
  "summary": {
    "label": "Summary",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Review Analyzer API — Sentiment, Topics & Complaints Actor is ready to run with the inputs already set for "Analyze reviews in French, Spanish and German at once". [Sign up or log in](https://console.apify.com/create-task-from-example/aw0RevjyusVWyAgDj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Analyze reviews in French, Spanish and German at once" task

The Review Analyzer API — Sentiment, Topics & Complaints Actor will start running based on the input automatically. You can also change all the input fields, like reviews, business type, and more, to match your specific use case.

### 3. Receive the "Analyze reviews in French, Spanish and German at once" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as business, reviews, rating, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Analyze reviews in French, Spanish and German at once" task via API](https://apify.com/sherwood/review-analyzer.md).

## About this Actor

This example demonstrates how to use [Review Analyzer API — Sentiment, Topics & Complaints](https://apify.com/sherwood/review-analyzer.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sherwood/review-analyzer.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sherwood/review-analyzer.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).