Overview

The Autocomplete API and Cleaner APIs are included at no additional charge for all plan types. The Job Title Enrichment APIs and Skill Enrichment APIs require an additional purchase. To learn more, Talk to an Expert.

Autocomplete API

The Autocomplete API allows you to get suggestions for Search API query values along with the number of available records for each suggestion:

import json

# 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
PARAMS = {
    "field": "school",
    "text": "stanf",
    "size": 10,
    "pretty": True
}

# Pass the parameters object to the Autocomplete API
json_response = CLIENT.autocomplete(**PARAMS).json()

# Print the API response in JSON format
print(json_response)

curl -X GET -G \
  'https://api.peopledatalabs.com/v5/autocomplete'\
  -H 'X-Api-Key: xxxx' \
  --data-urlencode 'field=school'\
  --data-urlencode 'text=stanf'\
  --data-urlencode 'size=10'

// 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 params = {
    "field": "school",
    "text": "stanf",
    "size": 10,
    "pretty": true
}

// Pass the parameters object to the Autocomplete API
PDLJSClient.autocomplete(params).then((data) => {
    // Print the API response in JSON format
    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 Autocomplete API
json_response = Peopledatalabs::Autocomplete.retrieve(field: "school", text: "stanf", size: 10, pretty: true)

# Print the API response in JSON format
puts JSON.dump(json_response)

package main

import (
    "fmt"
    "encoding/json"
    "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
    params := pdlmodel.AutocompleteParams {
        BaseParams: pdlmodel.BaseParams {
            Size: 10,
            Pretty: true,
        },
        AutocompleteBaseParams: pdlmodel.AutocompleteBaseParams {
            Field: "school",
            Text: "stanf",
        },
    }
    
    // Pass the parameters object to the Autocomplete API
    response, err := client.Autocomplete(context.Background(), params)
    // Check for successful response
    if err == nil {
        // Convert the API response to JSON
        jsonResponse, jsonErr := json.Marshal(response)
        // Print the API response
        if (jsonErr == nil) {
            fmt.Println(string(jsonResponse))
        }
    }
}

import requests, json

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

# Set the Autocomplete API URL
PDL_URL = "https://api.peopledatalabs.com/v5/autocomplete"

# Create a parameters JSON object
PARAMS = {
    "api_key": API_KEY,
    "field": "school",
    "text": "stanf",
    "size": 10,
    "pretty": True
}

# Pass the parameters object to the Autocomplete API
json_response = requests.get(PDL_URL,  params=PARAMS).json()

# Print the API response in JSON format
print(json_response)

Cleaner APIs

We provide several Cleaner APIs, which you can use to standardize raw data fields for company, school and location names based on our own internal standardization criteria.

Company Cleaner

You can use the Company Cleaner API to standardize company names:

# 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 = {"website":"peopledatalabs.com"}

# Pass the parameters object to the Company Cleaner API
response = CLIENT.company.cleaner(**QUERY_STRING)

# Print the API response
print(response.text)

// 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 = {
  website: "peopledatalabs.com"
}

// Pass the parameters object to the Company Cleaner API
PDLJSClient.company.cleaner(queryString).then((response) => {
  // Print the API response
  console.log(response);
}).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 Company Cleaner API
response = Peopledatalabs::Cleaner.company(kind: 'website', value: "peopledatalabs.com")

# 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.CleanCompanyParams{Website: "peopledatalabs.com"}

    // Pass the parameters object to the Company Cleaner API
    response, err := client.Company.Clean(context.Background(), queryString)
  
    // 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 Company Cleaner API URL
PDL_URL = "https://api.peopledatalabs.com/v5/company/clean"

# Create a parameters JSON object
QUERY_STRING = {"website":"peopledatalabs.com"}

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

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

# Print the API response
print(response.text)

School Cleaner

You can use the School Cleaner API to standardize school names:

# 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 = {"profile":"linkedin.com/school/ucla"}

# Pass the parameters object to the School Cleaner API
response = CLIENT.school.cleaner(**QUERY_STRING)

# Print the API response
print(response.text)

// 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 = {
  profile:"linkedin.com/school/ucla"
}

// Pass the parameters object to the School Cleaner API
PDLJSClient.school.cleaner(queryString).then((response) => {
  // Print the API response
  console.log(response);
}).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 School Cleaner API
response = Peopledatalabs::Cleaner.school(kind: 'profile', value: "linkedin.com/school/ucla")

# 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.CleanSchoolParams {
        SchoolParams: pdlmodel.SchoolParams{Profile: "linkedin.com/school/ucla"},
    }
    
    // Pass the parameters object to the School Cleaner API
    response, err := client.School.Clean(context.Background(), queryString)
  
    // 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 School Cleaner API URL
PDL_URL = "https://api.peopledatalabs.com/v5/school/clean"

# Create a parameters JSON object
QUERY_STRING = {"profile":"linkedin.com/school/ucla"}

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

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

# Print the API response
print(response.text)

Location Cleaner

You can use the Location Cleaner API to standardize location names:

# 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 = {"location":"239 NW 13th Ave, Portland, Oregon 97209, US"}

# Pass the parameters object to the Location Cleaner API
response = CLIENT.location.cleaner(**QUERY_STRING)

# Print the API response
print(response.text)

// 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 = {
  location:"239 NW 13th Ave, Portland, Oregon 97209, US"
}

// Pass the parameters object to the Location Cleaner API
PDLJSClient.location.cleaner(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 Location Cleaner API
response = Peopledatalabs::Cleaner.location(value: "239 NW 13th Ave, Portland, Oregon 97209, US")

# 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.CleanLocationParams {
        LocationParams: pdlmodel.LocationParams{Location: "239 NW 13th Ave, Portland, Oregon 97209, US"},
    }
    
    // Pass the parameters object to the Location Cleaner API
    response, err := client.Location.Clean(context.Background(), queryString)
  
    // 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 Location Cleaner API URL
PDL_URL = "https://api.peopledatalabs.com/v5/location/clean"

# Create a parameters JSON object
QUERY_STRING = {"location":"239 NW 13th Ave, Portland, Oregon 97209, US"}

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

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

# Print the API response
print(response.text)

Job Title Enrichment API

You can use the Job Title Enrichment API to enrich data on a job title:

# 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 = {"job_title": "supply manager"}

# Pass the parameters object to the Job Title Enrichment API
response = CLIENT.job_title(**QUERY_STRING)

# Print the API response
print(response.text)

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

// 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 = {jobTitle: "supply manager"}

// Pass the parameters object to the Job Title API
PDLJSClient.jobTitle(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 Job Title API
response = Peopledatalabs::JobTitle.retrieve("job_title":"supply manager")

# 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.JobTitleBaseParams{JobTitle: "supply manager"}
    
    params := pdlmodel.JobTitleParams{
        JobTitleBaseParams: queryString,
    }
    
    // Pass the parameters object to the Job Title API
    response, err := client.JobTitle(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 Job Title Enrichment API URL
PDL_URL = "https://api.peopledatalabs.com/v5/job_title/enrich"

# Create a parameters JSON object
QUERY_STRING = {"job_title": "supply manager"}

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

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

# Print the API response
print(response.text)

Skill Enrichment API

You can use the Skill Enrichment API to enrich data on a skill:

# 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)