# Normalize skills from resume sections

**Use case:** 

Map the skills sections of resumes to a taxonomy of 11,000+ skills with stable IDs, so "MS Excel", "Excel avancé" and "Microsoft Excel" become one skill.

## Input

```json
{
  "texts": [
    "Python, SQL, Power BI, Excel avancé, machine learning, gestion de projet, anglais courant",
    "Figma, design systems, user research, usability testing, prototyping, HTML/CSS"
  ],
  "language": "en"
}
```

## Output

```json
{
  "status": {
    "label": "Status",
    "format": "text"
  },
  "input_text": {
    "label": "Text",
    "format": "text"
  },
  "skills": {
    "label": "Skills",
    "format": "text"
  },
  "unresolved": {
    "label": "Unresolved",
    "format": "text"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

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

The Skills Normalizer - Map Free-Text Skills to a Taxonomy Actor is ready to run with the inputs already set for "Normalize skills from resume sections". [Sign up or log in](https://console.apify.com/create-task-from-example/gGeoHi92RE9zoNZK4) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Normalize skills from resume sections" task

The Skills Normalizer - Map Free-Text Skills to a Taxonomy Actor will start running based on the input automatically. You can also change all the input fields, like texts and output language, to match your specific use case.

### 3. Receive the "Normalize skills from resume sections" 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 status, text, skills, 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 "Normalize skills from resume sections" task via API](https://apify.com/hirelayer/skills-normalizer.md).

## About this Actor

This example demonstrates how to use [Skills Normalizer - Map Free-Text Skills to a Taxonomy](https://apify.com/hirelayer/skills-normalizer.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hirelayer/skills-normalizer.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/hirelayer/skills-normalizer.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`).