Examples - Autocomplete API

We've provided code samples in Python, cURL, Ruby, Go and JavaScript. If you aren't comfortable working in any of these languages, feel free to use this handy tool to convert code from cURL to the language of your choice.

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Company Autocomplete Example

"Give me 10 suggestions for companies starting with "ama"."

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": "company", "text": "ama", "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=company'\ --data-urlencode 'text=ama'
// 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": "company", "text": "ama", "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: "company", text: "ama", 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 { Pretty: true, }, AutocompleteBaseParams: pdlmodel.AutocompleteBaseParams { Field: "company", Text: "ama", }, } // 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": "company", "text": "ama", "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)

Job Title Autocomplete Example

"Give me 20 suggestions for job titles starting with the prefix "data"."

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": "title", "text": "data", "size": 20, "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: your-api-key' \ --data-urlencode 'field=title'\ --data-urlencode 'text=data'\ --data-urlencode 'size=20'
// 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": "title", "text": "data", "size": 20, "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: "title", text: "data", size: 20, 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: 20, Pretty: true, }, AutocompleteBaseParams: pdlmodel.AutocompleteBaseParams { Field: "title", Text: "data", }, } // 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": "title", "text": "data", "size": 20, "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)

Skill Autocomplete Example Using POST

"Give me 5 suggestions for skills starting with the prefix "python"."

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Difference Between GET and POST Requests

See this article for a comparison of the differences between GET and POST requests. The biggest difference is that POST requests don't have any limit on the amount of data that you can pass in a request.

import requests, json # Set your API key API_KEY = "YOUR API KEY" # Set the Person Search API URL PDL_URL = "https://api.peopledatalabs.com/v5/autocomplete" HEADERS = { 'Content-Type': "application/json", 'X-api-key': API_KEY } # Create a parameters JSON object PARAMS = { "api_key": API_KEY, "field": "skill", "text": "python", "pretty": True } # Pass the parameters object to the Autocomplete API using POST method response = requests.post( PDL_URL, headers=HEADERS, json=PARAMS # Passing the data directly as a JSON object ).json() #Print the API response in JSON format print(response)
curl -X POST \ 'https://api.peopledatalabs.com/v5/autocomplete' \ -H 'X-Api-Key: your-api-key' \ -H 'Content-Type: application/json' \ -d '{ "field": "skill", "text": "python", "pretty": true }'

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