# Tag customer feedback with multiple topics

**Use case:** 

Find pricing, delivery, quality and service themes in customer feedback. Assign up to three labels per text, then export the results. $1 per 1,000 texts including multiple labels; Free-plan allowance is 20 texts total per account.

## Input

```json
{
  "source": "texts",
  "texts": [
    "Excellent quality but expensive and slow delivery.",
    "Support solved my issue quickly.",
    "Hello there."
  ],
  "context": "Identify the topics explicitly discussed in each message. Greetings with no topic should receive no labels.",
  "labels": [
    "pricing",
    "delivery",
    "quality",
    "service"
  ],
  "multiLabel": true,
  "maxLabels": 3
}
```

## Output

```json
{
  "text": {
    "label": "Text",
    "format": "string"
  },
  "label": {
    "label": "Label"
  }
}
```

## How it works

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

The Bulk Text Classifier Actor is ready to run with the inputs already set for "Tag customer feedback with multiple topics". [Sign up or log in](https://console.apify.com/create-task-from-example/0TBNWeUYbvepWlY33) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Tag customer feedback with multiple topics" task

The Bulk Text Classifier Actor will start running based on the input automatically. You can also change all the input fields, like where are your texts?, texts to classify, and more, to match your specific use case.

### 3. Receive the "Tag customer feedback with multiple topics" 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 text and label.

### 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 "Tag customer feedback with multiple topics" task via API](https://apify.com/lofomachines/bulk-text-classifier.md).

## About this Actor

This example demonstrates how to use [Bulk Text Classifier](https://apify.com/lofomachines/bulk-text-classifier.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/lofomachines/bulk-text-classifier.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/lofomachines/bulk-text-classifier.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`).