Examples - Sandbox APIs - People Data Labs Documentation

We’ve provided code samples in Python, Ruby, Go and JavaScript.

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Sandbox Person Enrichment API

To use the Sandbox Person Enrichment API in URL, set https://sandbox.api.peopledatalabs.com/v5/person/enrich as the URL and then use the Person Enrichment API as usual. To use the Sandbox Person Enrichment API with our SDKs, see SDK usage. After implementing one of the two mechanisms above, you can make use of any of the examples for the Person Enrichment API. However, since the Sandbox APIs only use theSandbox Dataset, you can only enrich profiles from that dataset. For example, here is how to perform enrichment on an email address from the Sandbox Dataset following the Email example:

Basic Usage

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",
    # Use Sandbox API
    sandbox=True,
)

# Create a parameters JSON object
PARAMS = {
    "email": ["irussell@example.org"],
    "min_likelihood": 6
}

# Pass the parameters object to the Person Enrichment API
json_response = CLIENT.person.enrichment(**PARAMS).json()

# Check for successful response
if json_response["status"] == 200:
  record = json_response['data']

  # Print selected fields
  print(
    record['work_email'],
    record['full_name'],
    record['job_title'],
    record['job_company_name']
  )

  print(f"Successfully enriched profile with PDL data.")

  # Save enrichment data to JSON file
  with open("my_pdl_enrichment.jsonl", "w") as out:
    out.write(json.dumps(record) + "\n")
else:
  print("Enrichment unsuccessful. See error and try again.")
  print("error:", json_response)

// See https://github.com/peopledatalabs/peopledatalabs-js
import PDLJS from 'peopledatalabs';

import fs from 'fs';

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

// Create a parameters JSON object
const params = {
  email: "irussell@example.org",
  min_likelihood: 6,
  // Use Sandbox API
  sandbox: true
}

// Pass the parameters object to the Person Enrichment API
PDLJSClient.person.enrichment(params).then((data) => {
    var record = data.data
    
    // Print selected fields
    console.log(
        record["work_email"],
        record["full_name"],
        record["job_title"],
        record["job_company_name"],
        )
        
    console.log("Successfully enriched profile with PDL data.")
    
    // Save enrichment data to JSON file
    fs.writeFile("my_pdl_enrichment.jsonl", Buffer.from(JSON.stringify(record)), (err) => {
        if (err) throw err;
    });
}).catch((error) => {
    console.log("Enrichment unsuccessful. See error and try again.")
    console.log(error);
});

require 'json'

# See https://github.com/peopledatalabs/peopledatalabs-ruby
require 'peopledatalabs'

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

# Use Sandbox API
Peopledatalabs.sandbox = true

# Create a parameters JSON object
PARAMS = {
    "email": ["irussell@example.org"],
    "min_likelihood": 6
}

# Pass the parameters object to the Person Enrichment API
json_response = Peopledatalabs::Enrichment.person(params: PARAMS)

# Check for successful response
if json_response['status'] == 200
    record = json_response['data']
    
    # Print selected fields
    puts \
        "#{record['work_email']}\
        #{record['full_name']}\
        #{record['job_title']}\
        #{record['job_company_name']}"
    
    puts "Successfully enriched profile with PDL data."
    
    # Save enrichment data to JSON file
    File.open("my_pdl_enrichment.jsonl", "w") do |out|
        out.write(JSON.dump(record) + "\n")
    end
else
    puts "Enrichment unsuccessful. See error and try again."
    puts "error: #{json_response}"
end

package main

import (
    "fmt"
    "os"
    "encoding/json"
    "context"
)

// See https://github.com/peopledatalabs/peopledatalabs-go
import (
    pdl "github.com/peopledatalabs/peopledatalabs-go"
    "github.com/peopledatalabs/peopledatalabs-go/api"
    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 and sandbox usage
    client := pdl.New(apiKey,
                      api.ClientOptions(func(c *api.Client) {
                                    c.Sandbox = true
                      }))
    
    // Create a parameters JSON object
    params := pdlmodel.EnrichPersonParams {
        PersonParams: pdlmodel.PersonParams {
            Email: []string{"irussell@example.org"},
        },
         AdditionalParams: pdlmodel.AdditionalParams {
            MinLikelihood: 6,
        },
    }
    
    // Pass the parameters object to the Person Enrichment API
    response, err := client.Person.Enrich(context.Background(), params)
    
    // Check for successful response
    if err == nil {
        // Convert the API response to JSON
        jsonResponse, jsonErr := json.Marshal(response.Data)
        if jsonErr == nil {
            var record map[string]interface{}
            json.Unmarshal(jsonResponse, &record)
            // Print selected fields
            fmt.Println(
                       record["work_email"], 
                       record["full_name"], 
                       record["job_title"], 
                       record["job_company_name"])
        
            fmt.Println("Successfully enriched profile with PDL data.")
        
            // Save enrichment data to JSON file
            out, outErr := os.Create("my_pdl_enrichment.jsonl")
            defer out.Close()
            if outErr == nil {
                out.WriteString(string(jsonResponse) + "\n")
            }
            out.Sync()
        }
   	} else {
        fmt.Println("Enrichment unsuccessful. See error and try again.")
        fmt.Println("error:", err)
    }
}

import requests, json

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

# Set the Person Enrichment API URL
PDL_URL = "https://sandbox.api.peopledatalabs.com/v5/person/enrich" # Sandbox Person Enrichment API
# PDL_URL = "https://api.peopledatalabs.com/v5/person/enrich" # Production Person Enrichment API

# Create a parameters JSON object
PARAMS = {
    "api_key": API_KEY,
    "email": ["irussell@example.org"],
    "min_likelihood": 6
}

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

# Check for successful response
if json_response["status"] == 200:
  record = json_response['data']

  # Print selected fields
  print(
    record['work_email'],
    record['full_name'],
    record['job_title'],
    record['job_company_name']
  )

  print(f"Successfully enriched profile with PDL data.")

  # Save enrichment data to JSON file
  with open("my_pdl_enrichment.jsonl", "w") as out:
    out.write(json.dumps(record) + "\n")
else:
  print("Enrichment unsuccessful. See error and try again.")
  print("error:", json_response)

See Examples - Person Enrichment API for additonal examples.

Sandbox Person Search API

To use the Sandbox Person Search API in URL, set https://sandbox.api.peopledatalabs.com/v5/person/search as the URL and then use the Person Search API as usual. To use the Sandbox Person Search API with our SDKs, see SDK usage. After implementing one of the two mechanisms above, you can make use of any of the examples for the Person Search API. However, since the Sandbox APIs only use theSandbox Dataset, you can only search for profiles from that dataset. For example, here is how to perform a simple query following the Basic Usage example:

Basic Usage

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",
    # Use Sandbox API
    sandbox=True,
)

# Create an Elasticsearch query
ES_QUERY = {
  "query": {
    "bool": {
        "must": [
            {"term": {"location_country": "mexico"}},
            {"exists": {"field": "emails"}}
      ]
    }
  }
}

# Create a parameters JSON object
PARAMS = {
  'query': ES_QUERY,
  'size': 10,
  'pretty': True
}

# Pass the parameters object to the Person Search API
response = CLIENT.person.search(**PARAMS).json()

# Check for successful response
if response["status"] == 200:
  data = response['data']
  # Write out each profile found to file
  with open("my_pdl_search.jsonl", "w") as out:
    for record in data:
      out.write(json.dumps(record) + "\n")
  print(f"Successfully grabbed {len(data)} records from PDL.")
  print(f"{response['total']} total PDL records exist matching this query.")
else:
  print("NOTE: The carrier pigeons lost motivation in flight. See error and try again.")
  print("Error:", response)

// See https://github.com/peopledatalabs/peopledatalabs-js
import PDLJS from 'peopledatalabs';

import fs from 'fs';

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

// Create an Elasticsearch query
const esQuery = {
  query: {
    bool: {
      must:[
        {term: {location_country: "mexico"}}, 
        {exists: {field: "emails"}}
      ]
    }
  }
}

// Create a parameters JSON object
const params = {
  searchQuery: esQuery, 
  size: 10,
  pretty: true,
  // Use Sandbox API
  sandbox: true
}

// Pass the parameters object to the Person Search API
PDLJSClient.person.search.elastic(params).then((data) => {
    // Write out all profiles found to file
    fs.writeFile("my_pdl_search.jsonl", Buffer.from(JSON.stringify(data.data)), (err) => {
        if (err) throw err;
    });
    console.log(`Successfully grabbed ${data.data.length} records from PDL.`);
    console.log(`${data["total"]} total PDL records exist matching this query.`)
}).catch((error) => {
    console.log("NOTE: The carrier pigeons lost motivation in flight. See error and try again.")
    console.log(error);
});

require 'json'

# See https://github.com/peopledatalabs/peopledatalabs-ruby
require 'peopledatalabs'

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

# Use Sandbox API
Peopledatalabs.sandbox = true

# Create an Elasticsearch query
ES_QUERY = {
  "query": {
    "bool": {
        "must": [
            {"term": {"location_country": "mexico"}},
           {"exists": {"field": "emails"}}
      ]
    }
  }
}

# Pass parameters to the Person Search API
response = Peopledatalabs::Search.person(searchType: 'elastic', query: ES_QUERY, size: 10, pretty: true)

# Check for successful response
if response['status'] == 200
    data = response['data']
    # Write out each profile found to file
    File.open("my_pdl_search.jsonl", "w") do |out|
        data.each { |record| out.write(JSON.dump(record) + "\n") }
    end
    puts "Successfully grabbed #{data.length()} records from PDL."
    puts "#{response['total']} total PDL records exist matching this query."
else
    puts "NOTE: The carrier pigeons lost motivation in flight. See error and try again."
    puts "Error: #{response}"
end

package main

import (
    "fmt"
    "os"
    "encoding/json"
    "context"
)

// See https://github.com/peopledatalabs/peopledatalabs-go
import (
    pdl "github.com/peopledatalabs/peopledatalabs-go"
    "github.com/peopledatalabs/peopledatalabs-go/api"
    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 and sandbox usage
    client := pdl.New(apiKey,
                      api.ClientOptions(func(c *api.Client) {
                                    c.Sandbox = true
                      }))

    // Create an Elasticsearch query
    elasticSearchQuery := map[string]interface{} {
        "query": map[string]interface{} {
            "bool": map[string]interface{} {
                "must": []map[string]interface{} {
                    {"term": map[string]interface{}{"location_country": "mexico"}},
                    {"exists": map[string]interface{}{"field": "emails"}},
                },
            },
        },
    }

    // Create a parameters JSON object
    params := pdlmodel.SearchParams {
        BaseParams: pdlmodel.BaseParams {
            Size: 10,
            Pretty: true,
        },
        SearchBaseParams: pdlmodel.SearchBaseParams {
            Query: elasticSearchQuery,
        },
    }
    
    // Pass the parameters object to the Person Search API
    response, err := client.Person.Search(context.Background(), params)
    // Check for successful response
    if err == nil {
        data := response.Data
        // Create file
        out, outErr := os.Create("my_pdl_search.jsonl")
        defer out.Close()
        if (outErr == nil) {
            for i := range data {
                // Convert each profile found to JSON
                record, jsonErr := json.Marshal(data[i])
                // Write out each profile to file
                if (jsonErr == nil) {
                    out.WriteString(string(record) + "\n")
                }
            }
            out.Sync()
        }
        fmt.Printf("Successfully grabbed %d records from PDL.\n", len(data))
        fmt.Printf("%d total PDL records exist matching this query.\n", response.Total)
    } else {
        fmt.Println("NOTE: The carrier pigeons lost motivation in flight. See error and try again.")
        fmt.Println("Error:", err)
    } 
}

import requests, json

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

# Set the Person Search API URL
PDL_URL = "https://sandbox.api.peopledatalabs.com/v5/person/search" # Sandbox Person Search API
# PDL_URL = "https://api.peopledatalabs.com/v5/person/search" # Production Person Search API

# Set headers
HEADERS = {
  'Content-Type': "application/json",
  'X-api-key': API_KEY
}

# Create an Elasticsearch query
ES_QUERY = {
  "query": {
    "bool": {
        "must": [
            {"term": {"location_country": "mexico"}},
            {"exists": {"field": "emails"}}
      ]
    }
  }
}

# Create a parameters JSON object
PARAMS = {
  'query': json.dumps(ES_QUERY),
  'size': 10,
  'pretty': True
}

# Pass the parameters object to the Sandbox Person Search API
response = requests.get(
  PDL_URL,
  headers=HEADERS,
  params=PARAMS
).json()

# Check for successful response
if response["status"] == 200:
  data = response['data']
  # Write out each profile found to file
  with open("my_pdl_search.jsonl", "w") as out:
    for record in data:
      out.write(json.dumps(record) + "\n")
  print(f"Successfully grabbed {len(data)} records from PDL.")
  print(f"{response['total']} total PDL records exist matching this query.")
else:
  print("NOTE: The carrier pigeons lost motivation in flight. See error and try again.")
  print("Error:", response)

See Examples - Person Search API for additional examples.

Sandbox Person Identify API

To use the Sandbox Person Identify API in URL, set https://sandbox.api.peopledatalabs.com/v5/person/identify as the URL and then use the Person Identify API as usual. To use the Sandbox Person Identify API with our SDKs, see SDK usage. After implementing one of the two mechanisms above, you can make use of any of the examples for the Person Identify API. However, since the Sandbox APIs only use theSandbox Dataset, you can only match profiles from that dataset. For example, here is how to perform a query following the Basic Usage example:

Basic Usage

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",
    # Use Sandbox API
    sandbox=True,
)

# Create a parameters JSON object
PARAMS = {
 "company": "walmart",
 "pretty": True
}

# Pass the parameters object to the Person Identify API
response_data = CLIENT.person.identify(**PARAMS).json()

# Create a list of matches
identities = response_data['matches']

# Print the matches in JSON format
print(identities)
print(f"Found {len(identities)} identities!")

// 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 = {
  company: "walmart",
  pretty: true,
  // Use Sandbox API
  sandbox: true
}

// Pass the parameters object to the Person Identify API
PDLJSClient.person.identify(params).then((data) => {
  // Create a list of matches
  var identities = data["matches"]
  
  // Print the matches in JSON format
  console.log(identities);
  console.log(`Found ${identities.length} identities!`)
}).catch((error) => {
  console.log(error);
});

# See https://github.com/peopledatalabs/peopledatalabs-ruby
require 'peopledatalabs'

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

# Use Sandbox API
Peopledatalabs.sandbox = true

# Create a parameters JSON object
PARAMS = {
 "company": "walmart",
 "pretty": true
}

# Pass the parameters object to the Person Identify API
response = Peopledatalabs::Identify.person(params: PARAMS)

# Create a list of matches
identities = response['matches']

# Print the matches in JSON format
puts identities
puts "Found #{identities.length()} identities!"

package main

import (
    "fmt"
    "encoding/json"
    "context"
)

// See https://github.com/peopledatalabs/peopledatalabs-go
import (
    pdl "github.com/peopledatalabs/peopledatalabs-go"
    "github.com/peopledatalabs/peopledatalabs-go/api"
    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 and sandbox usage
    client := pdl.New(apiKey,
                      api.ClientOptions(func(c *api.Client) {
                                    c.Sandbox = true
                      }))
    
    // Create a parameters JSON object
    params := pdlmodel.IdentifyPersonParams {
        BaseParams: pdlmodel.BaseParams {
            Pretty: true,
        },
        PersonParams: pdlmodel.PersonParams {
             Company: []string{"walmart"},
        },
    }
    
    // Pass the parameters object to the Person Identify API
    response, err := client.Person.Identify(context.Background(), params)
    // Check for successful response
    if err == nil {
        // Create a list of matches
        identities := response.Matches
        // Convert the matches to JSON
        jsonResponse, jsonErr := json.Marshal(identities)
        // Print the matches
        if (jsonErr == nil) {
            fmt.Println(string(jsonResponse))
        }
        
        fmt.Printf("Found %d identities!\n", len(identities))
    } else {
        fmt.Println(err)
    }
}

import requests

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

# Set the Person Identify API URL
PDL_URL = "https://sandbox.api.peopledatalabs.com/v5/person/identify" # Sandbox Identify API 
# PDL_URL = "https://api.peopledatalabs.com/v5/person/identify" # Production Identify API

# Create a parameters JSON object
PARAMS = {
  "company": "walmart",
  "pretty": True,
  "api_key": API_KEY
}

# Pass the parameters object to the Sandbox Person Identify API
response = requests.request("GET", PDL_URL, params=PARAMS)

response_data = response.json()

# Create a list of matches
identities = response_data['matches']

# Print the matches in JSON format
print(identities)
print(f"Found {len(identities)} identities!")

See Examples - Person Identify API for additional examples.

General

API Overview

Person Data

Person APIs

Company Data

Company APIs

IP Data

IP API

Job Posting Data

Job Posting API

Supporting APIs

Data Standardization

Free Datasets

Libraries

Integrations

Resources

Data License

Support

Examples - Sandbox APIs

Sandbox Person Enrichment API

Basic Usage

Sandbox Person Search API

Basic Usage

Sandbox Person Identify API

Basic Usage

​Sandbox Person Enrichment API

​Basic Usage

​Sandbox Person Search API

​Basic Usage

​Sandbox Person Identify API

​Basic Usage

Sandbox Person Enrichment API

Basic Usage

Sandbox Person Search API

Basic Usage

Sandbox Person Identify API

Basic Usage