# Analyze tradespeople reviews: price, honesty, punctuality

**Use case:** 

Check what customers say about a plumber, locksmith or any tradesperson: punctuality, quality of the work, price and quote, honesty, communication, with surprise bills and cash-only requests flagged as serious complaints. The sample uses six illustrative reviews; use datasetId for real ones.

## Input

```json
{
  "reviews": [
    {
      "text": "Came within the hour for a leaking pipe, clear quote before starting, clean work.",
      "rating": 5,
      "placeName": "Dupont Plumbing (sample)",
      "category": "Plumber"
    },
    {
      "text": "The quote said 120 euros, the bill said 480. Travel fees were never mentioned.",
      "rating": 1,
      "placeName": "Dupont Plumbing (sample)",
      "category": "Plumber"
    },
    {
      "text": "Polite and fast, fixed the boiler the same day.",
      "rating": 5,
      "placeName": "Dupont Plumbing (sample)",
      "category": "Plumber"
    },
    {
      "text": "Two hours late and did not call to warn us. The repair itself was fine.",
      "rating": 3,
      "placeName": "Dupont Plumbing (sample)",
      "category": "Plumber"
    },
    {
      "text": "He refused to give an invoice and asked to be paid in cash only.",
      "rating": 1,
      "placeName": "Dupont Plumbing (sample)",
      "category": "Plumber"
    },
    {
      "text": "Honest advice: told us we did not need a new tap, just a seal. Saved us money.",
      "rating": 5,
      "placeName": "Dupont Plumbing (sample)",
      "category": "Plumber"
    }
  ],
  "businessType": "trades",
  "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 tradespeople reviews: price, honesty, punctuality". [Sign up or log in](https://console.apify.com/create-task-from-example/CkRy3CDd8tuOroN72) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Analyze tradespeople reviews: price, honesty, punctuality" 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 tradespeople reviews: price, honesty, punctuality" 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 tradespeople reviews: price, honesty, punctuality" 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`).