Quickstart - Skill Enrichment API - People Data Labs Documentation

The Skill Enrichment API is now fully removedThis 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).

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 and going to the API Keys section.

Need an API Key?If you don’t have an API key, you can easily create one by signing up for a self-serve account. Check out our Self-Serve Quickstart Guide, which walks you through the sign-up process as well as shows you how to use the self-serve API dashboard.

Simple Example

As mentioned in the Overview, the Skill Enrichment API is a means of performing a one-to-one match of a skill with those included in our Skill Dataset. In order to use the Skill Enrichment API, you will need theskill that you want to look up. Here’s a quick example that demonstrates retrieving a record with a skill of ai:

# 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)

curl -X GET -G \
  'https://api.peopledatalabs.com/v5/skill/enrich' \
  -H 'X-Api-Key: YOUR API KEY' \
  --data-urlencode 'skill=ai'

// 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);
});

# 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

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)
    }  
}

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)

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

JSON

{
  "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 page for more information.

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Quickstart - Skill Enrichment API

Getting Started

Simple Example

​Getting Started

​Simple Example

Getting Started

Simple Example