> ## Documentation Index
> Fetch the complete documentation index at: https://docs.peopledatalabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Quickstart - Skill Enrichment API

<Danger>
  **The Skill Enrichment API is now fully removed**

  This endpoint was removed in our April 2025 (v30.0) Release and is no longer available. This page is retained for historical documentation purposes.

  For more information, please see our [April 2025 Release Notes (v30.0)](/changelog/april-2025-release-notes-v300).
</Danger>

## Getting Started

In order to use our Skill Enrichment API, you must have an active API key. You can look up your API key by logging into our [self-serve dashboard](https://www.peopledatalabs.com/main/api-keys) and going to the **API Keys** section.

<Tip>
  **Need an API Key?**

  If you don't have an API key, you can easily create one by [signing up](https://peopledatalabs.com/signup) for a self-serve account. Check out our [Self-Serve Quickstart Guide](https://blog.peopledatalabs.com/post/self-signup-api-quickstart), which walks you through the sign-up process as well as shows you how to use the self-serve API dashboard.
</Tip>

## Simple Example

As mentioned in the [Overview](/docs/skill-enrichment-api#overview), the Skill Enrichment API is a means of performing a one-to-one match of a skill with those included in our [Skill](/docs/skill-schema) Dataset. In order to use the Skill Enrichment API, **you will need the[skill](/docs/input-parameters-skill-enrichment-api#skill) that you want to look up**.

Here's a quick example that demonstrates retrieving a record with a `skill` of `ai`:

<CodeGroup>
  ```python Python3 SDK theme={null}
  # See https://github.com/peopledatalabs/peopledatalabs-python
  from peopledatalabs import PDLPY

  # Create a client, specifying your API key
  CLIENT = PDLPY(
      api_key="YOUR API KEY",
  )

  # Create a parameters JSON object
  QUERY_STRING = {"skill": "ai"}

  # Pass the parameters object to the Skill Enrichment API
  response = CLIENT.skill(**QUERY_STRING)

  # Print the API response
  print(response.text)
  ```

  ```bash cURL theme={null}
  curl -X GET -G \
    'https://api.peopledatalabs.com/v5/skill/enrich' \
    -H 'X-Api-Key: YOUR API KEY' \
    --data-urlencode 'skill=ai'
  ```

  ```javascript JavaScript theme={null}
  // See https://github.com/peopledatalabs/peopledatalabs-js
  import PDLJS from 'peopledatalabs';

  // Create a client, specifying your API key
  const PDLJSClient = new PDLJS({ apiKey: "YOUR API KEY" });

  // Create a parameters JSON object
  const queryString = {skill: "ai"}

  // Pass the parameters object to the Skill API
  PDLJSClient.skill(queryString).then((data) => {
      // Print the API response
      console.log(data);
  }).catch((error) => {
      console.log(error);
  });
  ```

  ```ruby Ruby theme={null}
  # See https://github.com/peopledatalabs/peopledatalabs-ruby
  require 'peopledatalabs'

  # Set your API key
  Peopledatalabs.api_key = 'YOUR API KEY'

  # Pass parameters to the Skill API
  response = Peopledatalabs::Skill.retrieve("skill": "ai")

  # Print the API response
  puts response
  ```

  ```go Go expandable theme={null}
  package main

  import (
      "fmt"
      "context"
  )

  // See https://github.com/peopledatalabs/peopledatalabs-go
  import (
      pdl "github.com/peopledatalabs/peopledatalabs-go"
      pdlmodel "github.com/peopledatalabs/peopledatalabs-go/model"
  )

  func main() {
      // Set your API key
      apiKey := "YOUR API KEY"
      // Set API key as environmental variable
      // apiKey := os.Getenv("API_KEY")

      // Create a client, specifying your API key
      client := pdl.New(apiKey)
      
      // Create a parameters JSON object
      queryString := pdlmodel.SkillBaseParams{Skill: "ai"}
      
      params := pdlmodel.SkillParams{
          SkillBaseParams: queryString,
      }
      
      // Pass the parameters object to the Skill API
      response, err := client.Skill(context.Background(), params)
      // Check for successful response
      if err == nil {
          // Print the API response
          fmt.Println(response)
      }  
  }
  ```

  ```python Python3 theme={null}
  import requests

  # Set your API key
  API_KEY = "YOUR API KEY"

  # Set the Skill Enrichment API URL
  PDL_URL = "https://api.peopledatalabs.com/v5/skill/enrich"

  # Create a parameters JSON object
  QUERY_STRING = {"skill": "ai"}

  # Set headers
  HEADERS = {
      'accept': "application/json",
      'content-type': "application/json",
      'x-api-key': API_KEY
  }

  # Pass the parameters object to the Skill Enrichment API
  response = requests.request("GET", PDL_URL, headers=HEADERS, params=QUERY_STRING)

  # Print the API response
  print(response.text)
  ```
</CodeGroup>

The API returns a record like the one below if the `skill` that you passed it exists in our dataset:

```json JSON theme={null}
{
  "cleaned_skill": "ai",
  "similar_skills": [
    "machine learning",
    "artificial intelligence",
    "deep learning",
    "data science",
    "iot"
  ],
  "relevant_job_titles": [
    "data scientist",
    "software engineer",
    "senior data scientist",
    "chief technology officer",
    "senior software engineer"
  ]
}
```

If you don't get this response, check out our [Errors](/docs/errors) page for more information.

***


## Related topics

- [Skill Enrichment API](/docs/skill-enrichment-api.md)
- [Reference - Skill Enrichment API](/docs/reference-skill-enrichment-api.md)
- [Examples - Skill Enrichment API](/docs/examples-skill-enrichment-api.md)
- [Quickstart - IP Enrichment API](/docs/quickstart-ip-enrichment-api.md)
- [Quickstart - Person Enrichment API](/docs/quickstart-person-enrichment-api.md)