Company Endpoints

Company Enrichment API

Similar to how the Person Enrichment API enriches data on a person, the Company Enrichment API enriches data on a company:

# 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":"google.com"}

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

# Print the API response
print(response.text)

curl -X GET -G \
  'https://api.peopledatalabs.com/v5/company/enrich'\
  -H 'X-Api-Key: xxxx'\
  --data-urlencode 'website=google.com'

// 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":"google.com"}

// Pass the parameters object to the Company Enrichment API
PDLJSClient.company.enrichment(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'

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

# Pass the parameters object to the Company Enrichment API
response = Peopledatalabs::Enrichment.company(params: QUERY_STRING)

# 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.CompanyParams{Website: "google.com"}
    
    params := pdlmodel.EnrichCompanyParams{
        CompanyParams: queryString,
    }
    
    // Pass the parameters object to the Company Enrichment API
    response, err := client.Company.Enrich(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 Company Enrichment API URL
PDL_URL = "https://api.peopledatalabs.com/v5/company/enrich"

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

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

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

# Print the API response
print(response.text)

Bulk Company Enrichment API

We also provide a Bulk Company Enrichment API, which allows you to enrich 1-100 persons in a single request (recommended for high-volume 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",
)

# Create an array of parameters JSON objects
DATA = {
    "requests": [
        {
            "params": {
                "profile": "https://www.linkedin.com/company/peopledatalabs"
            }
        },
        {
            "params": {
                "website": "google.com"
            }
        }
    ]
}

# Pass the bulk parameters object to the Bulk Person Enrichment API
json_response = CLIENT.company.bulk(**DATA).json()

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

curl -X POST "https://api.peopledatalabs.com/v5/company/enrich/bulk" \
-H 'Content-Type: application/json' \
-H 'X-Api-Key: XXXX' \
-d ' {
    "requests": [
        {
            "params": {
                "profile": "https://www.linkedin.com/company/walmart"
            }
        },
            {
            "params": {
                "website": "google.com"
            }
        }
    ]
}'

// 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 list of parameter objects
const bulkEnrichmentRecords = {
  requests: [
    {
      params: {
        profile: ['linkedin.com/in/peopledatalabs'],
      },
    },
    {
      params: {
        profile: ['linkedin.com/in/apple'],
      },
    },
  ],
};

// Pass the parameter objects to the Bulk Company Enrichment API
try {
  const response = await PDLJSClient.company.bulk.enrichment(bulkEnrichmentRecords);

  console.log(response.items);
} catch (error) {
  console.log(error);
};

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

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

# Create an array of parameters JSON objects
DATA = {
   "requests": [
       {
           "params": {
               "profile": ["linkedin.com/in/peopledatalabs"]
           }
       },
       {
           "params": {
               "profile": ["linkedin.com/in/apple"]
           }
       }
   ]
}

# Pass the parameters object to the Company Enrichment API
response = Peopledatalabs::Bulk.company(params: DATA)

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

import requests
import json

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

# Pass your API key in header
HEADERS = {
    'X-Api-Key': API_KEY,
    'Content-Type': 'application/json',
}

# Create an array of parameters JSON objects
DATA = {
    "requests": [
        {
            "params": {
                "profile": "https://www.linkedin.com/company/walmart"
            }
        },
        {
            "params": {
                "website": "google.com"
            }
        }
    ]
}

# Pass the bulk parameters object to the Bulk Company Enrichment API using POST method
try:
    response = requests.post(
        'https://api.peopledatalabs.com/v5/company/enrich/bulk',
        headers=HEADERS,
        json=DATA
    )

    # Check if the request was successful (status code 200)
    if response.status_code == 200:
        # Parse the JSON response
        json_responses = response.json()

        # Iterate through the array of API responses
        for response_data in json_responses:

            # Check for successful response
            if response_data["status"] == 200:

                # Print selected fields
                print(
                    response_data['size'],
                    response_data['employee_count'],
                    response_data['industry'],
                    response_data['location']
                )
                print(f"Successfully enriched profile with PDL data.")

                # Save enrichment data to JSON file (append mode)
                with open(f"my_pdl_enrichment.{response_data['linkedin_slug']}.jsonl", "a") as out:
                    out.write(json.dumps(response_data) + "\n")
            else:
                print("Enrichment unsuccessful. See error and try again.")
                print("error:", response_data)
    else:
        print(f"Request failed with status code {response.status_code}")
except requests.exceptions.RequestException as e:
    print(f"An error occurred during the request: {e}")

Similar to how the Person Search API allows you to write queries that retrieve records on persons matching a criteria, the Company Search API allows you to write queries that retrieve records on companies matching a criteria:

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 an Elasticsearch query
ES_QUERY = {
  "query": {
    "bool": {
      "must": [
        {"term": {"website": "google.com"}},
      ]
    }
  }
}

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

# Pass the parameters object to the Company Search API
response = CLIENT.company.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)

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 an SQL query
SQL_QUERY = \
"""
  SELECT * FROM company
  WHERE website='google.com';
 """

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

# Pass the parameters object to the Company Search API
response = CLIENT.company.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)

# Elasticsearch
curl -X GET 'https://api.peopledatalabs.com/v5/company/search' \
-H 'X-Api-Key: xxxx' \
--data-raw '{
  "size": 10,
  "query": {
    "bool": {
      "must": [
        {"term": {"website": "google.com"}},
      ]
    }
  }
}'

# SQL
curl -X GET \
  'https://api.peopledatalabs.com/v5/company/search' \
  -H 'X-Api-Key: xxxx' \
  --data-raw '{
    "size": 10,
    "sql": "SELECT * FROM company WHERE website='\''google.com'\'';"
}'

// 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": {"website": "google.com"}} 
      ]
    }
  }
}

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

// Pass the parameters object to the Company Search API
PDLJSClient.company.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);
});

// 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 SQL query
const sqlQuery = `SELECT * FROM company
                    WHERE website='google.com';`;

// Create a parameters JSON object
const params = {
    searchQuery: sqlQuery, 
    size: 10,
    pretty: true
}

// Pass the parameters object to the Company Search API
PDLJSClient.company.search.sql(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'

# Create an Elasticsearch query
ES_QUERY = {
  "query": {
    "bool": {
      "must": [
        {"term": {"website": "google.com"}},
      ]
    }
  }
}

# Pass parameters to the Company Search API
response = Peopledatalabs::Search.company(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

require 'json'

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

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

# Create an SQL query
SQL_QUERY = \
"""
  SELECT * FROM company
  WHERE website='google.com';
 """

# Pass parameters to the Company Search API
response = Peopledatalabs::Search.company(searchType: 'sql', query: SQL_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"
    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 an Elasticsearch query
    elasticSearchQuery := map[string]interface{} {
        "query": map[string]interface{} {
            "bool": map[string]interface{} {
                "must": []map[string]interface{} {
                    {"term": map[string]interface{}{"website": "google.com"}},
                },
            },
        },
    }

    // 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 Company Search API
    response, err := client.Company.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)
    } 
}

package main

import (
    "fmt"
    "os"
    "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 an SQL query
    sqlQuery := "SELECT * FROM company" +
        " WHERE website='google.com';"

    // Create a parameters JSON object
    params := pdlmodel.SearchParams {
        BaseParams: pdlmodel.BaseParams {
            Size: 10,
            Pretty: true,
        },
        SearchBaseParams: pdlmodel.SearchBaseParams {
            SQL: sqlQuery,
        },
    }
    
    // Pass the parameters object to the Company Search API
    response, err := client.Company.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 Company Search API URL
PDL_URL = "https://api.peopledatalabs.com/v5/company/search"

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

# Create an Elasticsearch query
ES_QUERY = {
  "query": {
    "bool": {
      "must": [
        {"term": {"website": "google.com"}},
      ]
    }
  }
}

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

# Pass the parameters object to the Company 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 requests, json

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

# Set the Company Search API URL
PDL_URL = "https://api.peopledatalabs.com/v5/company/search"

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

# Create an SQL query
SQL_QUERY = \
"""
  SELECT * FROM company
  WHERE website='google.com';
 """

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

# Pass the parameters object to the Company 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)