Examples - Sandbox APIs

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": ["[email protected]"],
    "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: "[email protected]",
  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": ["[email protected]"],
    "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{"[email protected]"},
        },
         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": ["[email protected]"],
    "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)

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)

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!")