Quickstart: Search

Cloud Talent Solution allows you to search for any currently active Jobs that you have posted to the Cloud Talent Solution system. Once you are able to make search requests , be sure to implement the Jobs analytics framework and implement client events . This is core to the value of Cloud Talent Solution and directly impacts improved search results. Video tutorials and interactive codelabs are also available .

Get a histogram of the number of Jobs by a certain field

The search API can return a histogram of all relevant Jobs indexed in Cloud Talent Solution that match the filters of the search query. Now that you've gotten the search results, you can get a count of the jobs by different facets. Leverage the histogram API to get the count of jobs by certain facets.

Go

To learn how to install and use the client library for CTS, see CTS client libraries . For more information, see the CTS Go API reference documentation .

To authenticate to CTS, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "io" 
  
 talent 
  
 "cloud.google.com/go/talent/apiv4beta1" 
  
 "google.golang.org/api/iterator" 
  
 talentpb 
  
 "google.golang.org/genproto/googleapis/cloud/talent/v4beta1" 
 ) 
 // histogramSearch searches for jobs with histogram queries. 
 func 
  
 histogramSearch 
 ( 
 w 
  
 io 
 . 
 Writer 
 , 
  
 projectID 
 , 
  
 companyID 
  
 string 
 ) 
  
 error 
  
 { 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 // Initialize a jobService client. 
  
 c 
 , 
  
 err 
  
 := 
  
 talent 
 . 
  NewJobClient 
 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 fmt 
 . 
 Printf 
 ( 
 "talent.NewJobClient: %v\n" 
 , 
  
 err 
 ) 
  
 return 
  
 err 
  
 } 
  
 // Construct a searchJobs request. 
  
 req 
  
 := 
  
& talentpb 
 . 
  SearchJobsRequest 
 
 { 
  
 Parent 
 : 
  
 fmt 
 . 
 Sprintf 
 ( 
 "projects/%s" 
 , 
  
 projectID 
 ), 
  
 // Make sure to set the RequestMetadata the same as the associated 
  
 // search request. 
  
 RequestMetadata 
 : 
  
& talentpb 
 . 
  RequestMetadata 
 
 { 
  
 // Make sure to hash your userId. 
  
 UserId 
 : 
  
 "HashedUsrID" 
 , 
  
 // Make sure to hash the sessionId. 
  
 SessionId 
 : 
  
 "HashedSessionID" 
 , 
  
 // Domain of the website where the search is conducted. 
  
 Domain 
 : 
  
 "www.googlesample.com" 
 , 
  
 }, 
  
 HistogramQueries 
 : 
  
 [] 
 * 
 talentpb 
 . 
  HistogramQuery 
 
 { 
  
 { 
  
 // More info on histogram facets, constants, and built-in functions: 
  
 // https://godoc.org/google.golang.org/genproto/googleapis/cloud/talent/v4beta1#SearchJobsRequest 
  
 HistogramQuery 
 : 
  
 "count(base_compensation, [bucket(12, 20)])" 
 , 
  
 }, 
  
 }, 
  
 } 
  
 if 
  
 companyID 
  
 != 
  
 "" 
  
 { 
  
 req 
 . 
  JobQuery 
 
  
 = 
  
& talentpb 
 . 
  JobQuery 
 
 { 
  
 CompanyNames 
 : 
  
 [] 
 string 
 { 
 fmt 
 . 
 Sprintf 
 ( 
 "projects/%s/companies/%s" 
 , 
  
 projectID 
 , 
  
 companyID 
 )}, 
  
 } 
  
 } 
  
 it 
  
 := 
  
 c 
 . 
 SearchJobs 
 ( 
 ctx 
 , 
  
 req 
 ) 
  
 for 
  
 { 
  
 resp 
 , 
  
 err 
  
 := 
  
 it 
 . 
 Next 
 () 
  
 if 
  
 err 
  
 == 
  
 iterator 
 . 
 Done 
  
 { 
  
 return 
  
 nil 
  
 } 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 fmt 
 . 
 Printf 
 ( 
 "it.Next: %v\n" 
 , 
  
 err 
 ) 
  
 return 
  
 err 
  
 } 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "Job: %q\n" 
 , 
  
 resp 
 . 
  Job 
 
 . 
 GetName 
 ()) 
  
 } 
 }

Java

To learn how to install and use the client library for CTS, see CTS client libraries . For more information, see the CTS Java API reference documentation .

To authenticate to CTS, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  import 
  
 com.google.cloud.talent.v4. HistogramQuery 
 
 ; 
 import 
  
 com.google.cloud.talent.v4. Job 
 
 ; 
 import 
  
 com.google.cloud.talent.v4. JobServiceClient 
 
 ; 
 import 
  
 com.google.cloud.talent.v4. RequestMetadata 
 
 ; 
 import 
  
 com.google.cloud.talent.v4. SearchJobsRequest 
 
 ; 
 import 
  
 com.google.cloud.talent.v4. SearchJobsResponse 
 
 ; 
 import 
  
 com.google.cloud.talent.v4. TenantName 
 
 ; 
 import 
  
 java.io.IOException 
 ; 
 public 
  
 class 
 HistogramSearchJobs 
  
 { 
  
 public 
  
 static 
  
 void 
  
 searchJobs 
 () 
  
 throws 
  
 IOException 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 projectId 
  
 = 
  
 "your-project-id" 
 ; 
  
 String 
  
 tenantId 
  
 = 
  
 "your-tenant-id" 
 ; 
  
 String 
  
 query 
  
 = 
  
 "count(base_compensation, [bucket(12, 20)])" 
 ; 
  
 searchJobs 
 ( 
 projectId 
 , 
  
 tenantId 
 , 
  
 query 
 ); 
  
 } 
  
 // Search Jobs with histogram queries. 
  
 public 
  
 static 
  
 void 
  
 searchJobs 
 ( 
 String 
  
 projectId 
 , 
  
 String 
  
 tenantId 
 , 
  
 String 
  
 query 
 ) 
  
 throws 
  
 IOException 
  
 { 
  
 // Initialize client that will be used to send requests. This client only needs to be created 
  
 // once, and can be reused for multiple requests. After completing all of your requests, call 
  
 // the "close" method on the client to safely clean up any remaining background resources. 
  
 try 
  
 ( 
  JobServiceClient 
 
  
 jobServiceClient 
  
 = 
  
  JobServiceClient 
 
 . 
 create 
 ()) 
  
 { 
  
  TenantName 
 
  
 parent 
  
 = 
  
  TenantName 
 
 . 
 of 
 ( 
 projectId 
 , 
  
 tenantId 
 ); 
  
 String 
  
 domain 
  
 = 
  
 "http://www.jobUrl.com" 
 ; 
  
 String 
  
 sessionId 
  
 = 
  
 "Hashed session identifier" 
 ; 
  
 String 
  
 userId 
  
 = 
  
 "Hashed user identifier" 
 ; 
  
  RequestMetadata 
 
  
 requestMetadata 
  
 = 
  
  RequestMetadata 
 
 . 
 newBuilder 
 () 
  
 . 
  setDomain 
 
 ( 
 domain 
 ) 
  
 . 
  setSessionId 
 
 ( 
 sessionId 
 ) 
  
 . 
  setUserId 
 
 ( 
 userId 
 ) 
  
 . 
 build 
 (); 
  
  HistogramQuery 
 
  
 histogramQueriesElement 
  
 = 
  
  HistogramQuery 
 
 . 
 newBuilder 
 (). 
 setHistogramQuery 
 ( 
 query 
 ). 
 build 
 (); 
  
  SearchJobsRequest 
 
  
 request 
  
 = 
  
  SearchJobsRequest 
 
 . 
 newBuilder 
 () 
  
 . 
 setParent 
 ( 
 parent 
 . 
  toString 
 
 ()) 
  
 . 
  setRequestMetadata 
 
 ( 
 requestMetadata 
 ) 
  
 . 
  addHistogramQueries 
 
 ( 
 histogramQueriesElement 
 ) 
  
 . 
 build 
 (); 
  
 for 
  
 ( 
  SearchJobsResponse 
 
 . 
  MatchingJob 
 
  
 responseItem 
  
 : 
  
 jobServiceClient 
 . 
 searchJobs 
 ( 
 request 
 ). 
 getMatchingJobsList 
 ()) 
  
 { 
  
 System 
 . 
 out 
 . 
 format 
 ( 
 "Job summary: %s%n" 
 , 
  
 responseItem 
 . 
 getJobSummary 
 ()); 
  
 System 
 . 
 out 
 . 
 format 
 ( 
 "Job title snippet: %s%n" 
 , 
  
 responseItem 
 . 
 getJobTitleSnippet 
 ()); 
  
  Job 
 
  
 job 
  
 = 
  
 responseItem 
 . 
 getJob 
 (); 
  
 System 
 . 
 out 
 . 
 format 
 ( 
 "Job name: %s%n" 
 , 
  
 job 
 . 
  getName 
 
 ()); 
  
 System 
 . 
 out 
 . 
 format 
 ( 
 "Job title: %s%n" 
 , 
  
 job 
 . 
  getTitle 
 
 ()); 
  
 } 
  
 } 
  
 } 
 }

Python

To learn how to install and use the client library for CTS, see CTS client libraries . For more information, see the CTS Python API reference documentation .

To authenticate to CTS, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  from 
  
 google.cloud 
  
 import 
 talent 
 def 
  
 search_jobs 
 ( 
 project_id 
 , 
 tenant_id 
 , 
 query 
 ): 
  
 """ 
 Search Jobs with histogram queries 
 Args: 
 query Histogram query 
 More info on histogram facets, constants, and built-in functions: 
 https://godoc.org/google.golang.org/genproto/googleapis/cloud/talent/v4beta1#SearchJobsRequest 
 """ 
 client 
 = 
 talent 
 . 
  JobServiceClient 
 
 () 
 # project_id = 'Your Google Cloud Project ID' 
 # tenant_id = 'Your Tenant ID (using tenancy is optional)' 
 # query = 'count(base_compensation, [bucket(12, 20)])' 
 if 
 isinstance 
 ( 
 project_id 
 , 
 bytes 
 ): 
 project_id 
 = 
 project_id 
 . 
 decode 
 ( 
 "utf-8" 
 ) 
 if 
 isinstance 
 ( 
 tenant_id 
 , 
 bytes 
 ): 
 tenant_id 
 = 
 tenant_id 
 . 
 decode 
 ( 
 "utf-8" 
 ) 
 if 
 isinstance 
 ( 
 query 
 , 
 bytes 
 ): 
 query 
 = 
 query 
 . 
 decode 
 ( 
 "utf-8" 
 ) 
 parent 
 = 
 f 
 "projects/ 
 { 
 project_id 
 } 
 /tenants/ 
 { 
 tenant_id 
 } 
 " 
 domain 
 = 
 "www.example.com" 
 session_id 
 = 
 "Hashed session identifier" 
 user_id 
 = 
 "Hashed user identifier" 
 request_metadata 
 = 
 { 
 "domain" 
 : 
 domain 
 , 
 "session_id" 
 : 
 session_id 
 , 
 "user_id" 
 : 
 user_id 
 } 
 histogram_queries_element 
 = 
 { 
 "histogram_query" 
 : 
 query 
 } 
 histogram_queries 
 = 
 [ 
 histogram_queries_element 
 ] 
 # Iterate over all results 
 results 
 = 
 [] 
 request 
 = 
 talent 
 . 
  SearchJobsRequest 
 
 ( 
 parent 
 = 
 parent 
 , 
 request_metadata 
 = 
 request_metadata 
 , 
 histogram_queries 
 = 
 histogram_queries 
 , 
 ) 
 for 
 response_item 
 in 
 client 
 . 
  search_jobs 
 
 ( 
 request 
 = 
 request 
 ) 
 . 
 matching_jobs 
 : 
 print 
 ( 
 "Job summary: 
 {response_item.job_summary} 
 " 
 ) 
 print 
 ( 
 "Job title snippet: 
 {response_item.job_title_snippet} 
 " 
 ) 
 job 
 = 
 response_item 
 . 
 job 
 results 
 . 
 append 
 ( 
 job 
 ) 
 print 
 ( 
 "Job name: 
 {job.name} 
 " 
 ) 
 print 
 ( 
 "Job title: 
 {job.title} 
 " 
 ) 
 return 
 results

In this case, we're getting the count of all jobs in the system, that are accepted by the filters specified, across the various facets - CATEGORY and CITY.

Use the autocomplete API to get suggested job titles

The complete API suggests job titles or company titles that the job seeker might be interested in based on what they've already typed. Use this to autocomplete potential results in the search bar of your UI.

Go

To learn how to install and use the client library for CTS, see CTS client libraries . For more information, see the CTS Go API reference documentation .

To authenticate to CTS, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "io" 
  
 talent 
  
 "cloud.google.com/go/talent/apiv4beta1" 
  
 "cloud.google.com/go/talent/apiv4beta1/talentpb" 
 ) 
 // jobTitleAutoComplete suggests the job titles of the given 
 // company identifier on query. 
 func 
  
 jobTitleAutocomplete 
 ( 
 w 
  
 io 
 . 
 Writer 
 , 
  
 projectID 
 , 
  
 query 
  
 string 
 ) 
  
 ( 
 * 
 talentpb 
 . 
 CompleteQueryResponse 
 , 
  
 error 
 ) 
  
 { 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 // Initialize a completionService client. 
  
 c 
 , 
  
 err 
  
 := 
  
 talent 
 . 
 NewCompletionClient 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 nil 
 , 
  
 fmt 
 . 
 Errorf 
 ( 
 "talent.NewCompletionClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 c 
 . 
 Close 
 () 
  
 // Construct a completeQuery request. 
  
 req 
  
 := 
  
& talentpb 
 . 
 CompleteQueryRequest 
 { 
  
 Parent 
 : 
  
 fmt 
 . 
 Sprintf 
 ( 
 "projects/%s" 
 , 
  
 projectID 
 ), 
  
 Query 
 : 
  
 query 
 , 
  
 LanguageCodes 
 : 
  
 [] 
 string 
 { 
 "en-US" 
 }, 
  
 PageSize 
 : 
  
 5 
 , 
  
 // Number of completion results returned. 
  
 Scope 
 : 
  
 talentpb 
 . 
  CompleteQueryRequest_PUBLIC 
 
 , 
  
 Type 
 : 
  
 talentpb 
 . 
  CompleteQueryRequest_JOB_TITLE 
 
 , 
  
 } 
  
 resp 
 , 
  
 err 
  
 := 
  
 c 
 . 
 CompleteQuery 
 ( 
 ctx 
 , 
  
 req 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 nil 
 , 
  
 fmt 
 . 
 Errorf 
 ( 
 "CompleteQuery(%s): %w" 
 , 
  
 query 
 , 
  
 err 
 ) 
  
 } 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "Auto complete results:" 
 ) 
  
 for 
  
 _ 
 , 
  
 c 
  
 := 
  
 range 
  
 resp 
 . 
 GetCompletionResults 
 () 
  
 { 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "\t%v\n" 
 , 
  
 c 
 . 
 Suggestion 
 ) 
  
 } 
  
 return 
  
 resp 
 , 
  
 nil 
 }

Java

To learn how to install and use the client library for CTS, see CTS client libraries . For more information, see the CTS Java API reference documentation .

To authenticate to CTS, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  import 
  
 com.google.cloud.talent.v4. CompleteQueryRequest 
 
 ; 
 import 
  
 com.google.cloud.talent.v4. CompleteQueryResponse 
 
 ; 
 import 
  
 com.google.cloud.talent.v4. CompletionClient 
 
 ; 
 import 
  
 com.google.cloud.talent.v4. TenantName 
 
 ; 
 import 
  
 java.io.IOException 
 ; 
 public 
  
 class 
 JobSearchAutoCompleteJobTitle 
  
 { 
  
 public 
  
 static 
  
 void 
  
 completeQuery 
 () 
  
 throws 
  
 IOException 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 projectId 
  
 = 
  
 "your-project-id" 
 ; 
  
 String 
  
 tenantId 
  
 = 
  
 "your-tenant-id" 
 ; 
  
 String 
  
 query 
  
 = 
  
 "your-query-for-job-title" 
 ; 
  
 completeQuery 
 ( 
 projectId 
 , 
  
 tenantId 
 , 
  
 query 
 ); 
  
 } 
  
 // Complete job title given partial text (autocomplete). 
  
 public 
  
 static 
  
 void 
  
 completeQuery 
 ( 
 String 
  
 projectId 
 , 
  
 String 
  
 tenantId 
 , 
  
 String 
  
 query 
 ) 
  
 throws 
  
 IOException 
  
 { 
  
 // Initialize client that will be used to send requests. This client only needs to be created 
  
 // once, and can be reused for multiple requests. After completing all of your requests, call 
  
 // the "close" method on the client to safely clean up any remaining background resources. 
  
 try 
  
 ( 
  CompletionClient 
 
  
 completionClient 
  
 = 
  
  CompletionClient 
 
 . 
 create 
 ()) 
  
 { 
  
  TenantName 
 
  
 parent 
  
 = 
  
  TenantName 
 
 . 
 of 
 ( 
 projectId 
 , 
  
 tenantId 
 ); 
  
  CompleteQueryRequest 
 
  
 request 
  
 = 
  
  CompleteQueryRequest 
 
 . 
 newBuilder 
 () 
  
 . 
 setTenant 
 ( 
 parent 
 . 
  toString 
 
 ()) 
  
 . 
 setQuery 
 ( 
 query 
 ) 
  
 . 
 setPageSize 
 ( 
 5 
 ) 
  
 // limit for number of results 
  
 . 
 addLanguageCodes 
 ( 
 "en-US" 
 ) 
  
 // language code 
  
 . 
 build 
 (); 
  
  CompleteQueryResponse 
 
  
 response 
  
 = 
  
 completionClient 
 . 
 completeQuery 
 ( 
 request 
 ); 
  
 for 
  
 ( 
  CompleteQueryResponse 
 
 . 
  CompletionResult 
 
  
 result 
  
 : 
  
 response 
 . 
  getCompletionResultsList 
 
 ()) 
  
 { 
  
 System 
 . 
 out 
 . 
 format 
 ( 
 "Suggested title: %s%n" 
 , 
  
 result 
 . 
 getSuggestion 
 ()); 
  
 // Suggestion type is JOB_TITLE or COMPANY_TITLE 
  
 System 
 . 
 out 
 . 
 format 
 ( 
 "Suggestion type: %s%n" 
 , 
  
 result 
 . 
 getType 
 ()); 
  
 } 
  
 } 
  
 } 
 }

Node.js

To learn how to install and use the client library for CTS, see CTS client libraries . For more information, see the CTS Node.js API reference documentation .

To authenticate to CTS, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  const 
  
 talent 
  
 = 
  
 require 
 ( 
 ' @google-cloud/talent 
' 
 ). 
 v4 
 ; 
 /** 
 * Complete job title given partial text (autocomplete) 
 * 
 * @param projectId {string} Your Google Cloud Project ID 
 * @param tenantId {string} Identifier of the TenantId 
 */ 
 function 
  
 sampleCompleteQuery 
 ( 
  
 projectId 
 , 
  
 tenantId 
 , 
  
 query 
 , 
  
 numResults 
 , 
  
 languageCode 
 ) 
  
 { 
  
 const 
  
 client 
  
 = 
  
 new 
  
 talent 
 . 
  CompletionClient 
 
 (); 
  
 // const projectId = 'Your Google Cloud Project ID'; 
  
 // const tenantId = 'Your Tenant ID (using tenancy is optional)'; 
  
 // const query = '[partially typed job title]'; 
  
 // const numResults = 5; 
  
 // const languageCode = 'en-US'; 
  
 const 
  
 formattedParent 
  
 = 
  
 client 
 . 
 tenantPath 
 ( 
 projectId 
 , 
  
 tenantId 
 ); 
  
 const 
  
 languageCodes 
  
 = 
  
 [ 
 languageCode 
 ]; 
  
 const 
  
 request 
  
 = 
  
 { 
  
 parent 
 : 
  
 formattedParent 
 , 
  
 query 
 : 
  
 query 
 , 
  
 pageSize 
 : 
  
 numResults 
 , 
  
 languageCodes 
 : 
  
 languageCodes 
 , 
  
 }; 
  
 client 
  
 . 
 completeQuery 
 ( 
 request 
 ) 
  
 . 
 then 
 ( 
 responses 
  
 = 
>  
 { 
  
 const 
  
 response 
  
 = 
  
 responses 
 [ 
 0 
 ]; 
  
 for 
  
 ( 
 const 
  
 result 
  
 of 
  
 response 
 . 
 completionResults 
 ) 
  
 { 
  
 console 
 . 
 log 
 ( 
 `Suggested title: 
 ${ 
 result 
 . 
 suggestion 
 } 
 ` 
 ); 
  
 // Suggestion type is JOB_TITLE or COMPANY_TITLE 
  
 console 
 . 
 log 
 ( 
 `Suggestion type: 
 ${ 
  result 
 
 . 
 type 
 } 
 ` 
 ); 
  
 } 
  
 }) 
  
 . 
 catch 
 ( 
 err 
  
 = 
>  
 { 
  
 console 
 . 
 error 
 ( 
 err 
 ); 
  
 }); 
 }

Python

To learn how to install and use the client library for CTS, see CTS client libraries . For more information, see the CTS Python API reference documentation .

To authenticate to CTS, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  from 
  
 google.cloud 
  
 import 
 talent_v4beta1 
 def 
  
 complete_query 
 ( 
 project_id 
 , 
 tenant_id 
 , 
 query 
 ): 
  
 """Complete job title given partial text (autocomplete)""" 
 client 
 = 
 talent_v4beta1 
 . 
  CompletionClient 
 
 () 
 # project_id = 'Your Google Cloud Project ID' 
 # tenant_id = 'Your Tenant ID (using tenancy is optional)' 
 # query = '[partially typed job title]' 
 if 
 isinstance 
 ( 
 project_id 
 , 
 bytes 
 ): 
 project_id 
 = 
 project_id 
 . 
 decode 
 ( 
 "utf-8" 
 ) 
 if 
 isinstance 
 ( 
 tenant_id 
 , 
 bytes 
 ): 
 tenant_id 
 = 
 tenant_id 
 . 
 decode 
 ( 
 "utf-8" 
 ) 
 if 
 isinstance 
 ( 
 query 
 , 
 bytes 
 ): 
 query 
 = 
 query 
 . 
 decode 
 ( 
 "utf-8" 
 ) 
 parent 
 = 
 f 
 "projects/ 
 { 
 project_id 
 } 
 /tenants/ 
 { 
 tenant_id 
 } 
 " 
 request 
 = 
 talent_v4beta1 
 . 
  CompleteQueryRequest 
 
 ( 
 parent 
 = 
 parent 
 , 
 query 
 = 
 query 
 , 
 page_size 
 = 
 5 
 , 
 # limit for number of results 
 language_codes 
 = 
 [ 
 "en-US" 
 ], 
 # language code 
 ) 
 response 
 = 
 client 
 . 
  complete_query 
 
 ( 
 request 
 = 
 request 
 ) 
 for 
 result 
 in 
 response 
 . 
 completion_results 
 : 
 print 
 ( 
 f 
 "Suggested title: 
 { 
 result 
 . 
 suggestion 
 } 
 " 
 ) 
 # Suggestion type is JOB_TITLE or COMPANY_TITLE 
 print 
 ( 
 f 
 "Suggestion type: 
 { 
 talent_v4beta1 
 . 
  CompleteQueryRequest 
 
 . 
  CompletionType 
 
 ( 
 result 
 . 
 type_ 
 ) 
 . 
 name 
 } 
 " 
 )

Quickstart: Search Stay organized with collections Save and categorize content based on your preferences.

Get a histogram of the number of Jobs by a certain field

Go

Java

Python

Use the autocomplete API to get suggested job titles

Go

Java

Node.js

Python

Quickstart: Search