Location-based search (v3)

Java

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 


/** Basic location Search */
public static void basicLocationSearch(String companyName, String location, double distance)
    throws IOException, InterruptedException {
  // Make sure to set the requestMetadata the same as the associated search request
  RequestMetadata requestMetadata =
      new RequestMetadata()
          // Make sure to hash the userID
          .setUserId("HashedUserId")
          // Make sure to hash the sessionID
          .setSessionId("HashedSessionID")
          // Domain of the website where the search is conducted
          .setDomain("www.google.com");
  LocationFilter locationFilter =
      new LocationFilter().setAddress(location).setDistanceInMiles(distance);
  JobQuery jobQuery = new JobQuery().setLocationFilters(Arrays.asList(locationFilter));
  if (companyName != null) {
    jobQuery.setCompanyNames(Arrays.asList(companyName));
  }
  SearchJobsRequest request =
      new SearchJobsRequest()
          .setRequestMetadata(requestMetadata)
          .setJobQuery(jobQuery)
          .setSearchMode("JOB_SEARCH");
  SearchJobsResponse response =
      talentSolutionClient.projects().jobs().search(DEFAULT_PROJECT_ID, request).execute();
  Thread.sleep(1000);
  System.out.printf("Basic location search results: %s", response);

}

Python

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 

def basic_location_search(client_service, company_name, location, distance):
    request_metadata = {
        "user_id": "HashedUserId",
        "session_id": "HashedSessionId",
        "domain": "www.google.com",
    }
    location_filter = {"address": location, "distance_in_miles": distance}
    job_query = {"location_filters": [location_filter]}
    if company_name is not None:
        job_query.update({"company_names": [company_name]})
    request = {
        "job_query": job_query,
        "request_metadata": request_metadata,
        "search_mode": "JOB_SEARCH",
    }
    response = (
        client_service.projects().jobs().search(parent=parent, body=request).execute()
    )
    print(response)

Java

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 


/** Keyword location Search */
public static void keywordLocationSearch(
    String companyName, String location, double distance, String keyword)
    throws IOException, InterruptedException {
  // Make sure to set the requestMetadata the same as the associated search request
  RequestMetadata requestMetadata =
      new RequestMetadata()
          // Make sure to hash the userID
          .setUserId("HashedUserId")
          // Make sure to hash the sessionID
          .setSessionId("HashedSessionID")
          // Domain of the website where the search is conducted
          .setDomain("www.google.com");
  LocationFilter locationFilter =
      new LocationFilter().setAddress(location).setDistanceInMiles(distance);
  JobQuery jobQuery =
      new JobQuery().setQuery(keyword).setLocationFilters(Arrays.asList(locationFilter));
  if (companyName != null) {
    jobQuery.setCompanyNames(Arrays.asList(companyName));
  }
  SearchJobsRequest request =
      new SearchJobsRequest()
          .setRequestMetadata(requestMetadata)
          .setJobQuery(jobQuery)
          .setSearchMode("JOB_SEARCH");
  SearchJobsResponse response =
      talentSolutionClient.projects().jobs().search(DEFAULT_PROJECT_ID, request).execute();
  Thread.sleep(1000);
  System.out.printf("Keyword location search results: %s", response);
}

Python

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 

def keyword_location_search(client_service, company_name, location, distance, keyword):
    request_metadata = {
        "user_id": "HashedUserId",
        "session_id": "HashedSessionId",
        "domain": "www.google.com",
    }
    location_filter = {"address": location, "distance_in_miles": distance}
    job_query = {"location_filters": [location_filter], "query": keyword}
    if company_name is not None:
        job_query.update({"company_names": [company_name]})
    request = {
        "job_query": job_query,
        "request_metadata": request_metadata,
        "search_mode": "JOB_SEARCH",
    }
    response = (
        client_service.projects().jobs().search(parent=parent, body=request).execute()
    )
    print(response)

Go

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 


// keywordLocationSearch searches for jobs with given keyword and within the
// distance of given location.
func keywordLocationSearch(w io.Writer, projectID, companyName, location string, distance float64, keyword string) (*talent.SearchJobsResponse, error) {
	ctx := context.Background()

	client, err := google.DefaultClient(ctx, talent.CloudPlatformScope)
	if err != nil {
		return nil, fmt.Errorf("google.DefaultClient: %w", err)
	}
	// Create the jobs service client.
	service, err := talent.New(client)
	if err != nil {
		return nil, fmt.Errorf("talent.New: %w", err)
	}

	jobQuery := &talent.JobQuery{
		LocationFilters: []*talent.LocationFilter{
			{
				Address:         location,
				DistanceInMiles: distance,
			},
		},
		Query: keyword,
	}

	if companyName != "" {
		jobQuery.CompanyNames = []string{companyName}
	}

	parent := "projects/" + projectID
	req := &talent.SearchJobsRequest{
		// Make sure to set the RequestMetadata the same as the associated
		// search request.
		RequestMetadata: &talent.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",
		},
		// Set the actual search term as defined in the jobQuery.
		JobQuery: jobQuery,
		// Set the search mode to a regular search.
		SearchMode: "JOB_SEARCH",
	}
	resp, err := service.Projects.Jobs.Search(parent, req).Do()
	if err != nil {
		return nil, fmt.Errorf("failed to search for jobs with keyword %q in location %v within %f miles: %w", keyword, location, distance, err)
	}

	fmt.Fprintln(w, "Jobs:")
	for _, j := range resp.MatchingJobs {
		fmt.Fprintf(w, "\t%q\n", j.Job.Name)
	}

	return resp, nil
}
All fields are optional:

  • address is the actual job location represented as a string. This can be a street address, or any level up to country. For example, "123 Main Street, Anytown, WA, USA" or simply "USA".

  • distanceInMiles: The distance from the name or latLng in miles in which to search. Default is 20. Maximum is 5000.

    • If the value of name is a street address, jobs within the set distanceInMiles of that singular point are returned.
    • If the value of name is a neighborhood or city, jobs within the set distanceInMiles of the neighborhood/city center are returned. To return all jobs within a neighborhood/city, set distanceInMiles to 0. If distanceInMiles is > 0, then the applied search radius is the geographical boundaries of the neighborhood/city plus the distanceInMiles set in the request. (Geographic boundaries are estimated using the Google Maps Geocoding API.)
    • If the value of name is a colloquial area, like "Bay Area" or "Silicon Valley", the applied search radius is the estimated geographical boundaries of the area plus the distanceInMiles set in the request.
    • If the value name is a state or country, the service returns jobs within the specified state or country, ignoring distanceInMiles.

Basic location only with city level location and output

Java

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 


/** City location Search */
public static void cityLocationSearch(String companyName, String location)
    throws IOException, InterruptedException {
  // Make sure to set the requestMetadata the same as the associated search request
  RequestMetadata requestMetadata =
      new RequestMetadata()
          // Make sure to hash the userID
          .setUserId("HashedUserId")
          // Make sure to hash the sessionID
          .setSessionId("HashedSessionID")
          // Domain of the website where the search is conducted
          .setDomain("www.google.com");
  LocationFilter locationFilter = new LocationFilter().setAddress(location);
  JobQuery jobQuery = new JobQuery().setLocationFilters(Arrays.asList(locationFilter));
  if (companyName != null) {
    jobQuery.setCompanyNames(Arrays.asList(companyName));
  }
  SearchJobsRequest request =
      new SearchJobsRequest()
          .setRequestMetadata(requestMetadata)
          .setJobQuery(jobQuery)
          .setSearchMode("JOB_SEARCH");
  SearchJobsResponse response =
      talentSolutionClient.projects().jobs().search(DEFAULT_PROJECT_ID, request).execute();
  Thread.sleep(1000);
  System.out.printf("City locations search results: %s", response);
}

Python

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 

def city_location_search(client_service, company_name, location):
    request_metadata = {
        "user_id": "HashedUserId",
        "session_id": "HashedSessionId",
        "domain": "www.google.com",
    }
    location_filter = {"address": location}
    job_query = {"location_filters": [location_filter]}
    if company_name is not None:
        job_query.update({"company_names": [company_name]})
    request = {
        "job_query": job_query,
        "request_metadata": request_metadata,
        "search_mode": "JOB_SEARCH",
    }
    response = (
        client_service.projects().jobs().search(parent=parent, body=request).execute()
    )
    print(response)

Go

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 


// cityLocationSearch searches for jobs in the same city of given location.
func cityLocationSearch(w io.Writer, projectID, companyName, location string) (*talent.SearchJobsResponse, error) {
	ctx := context.Background()

	client, err := google.DefaultClient(ctx, talent.CloudPlatformScope)
	if err != nil {
		return nil, fmt.Errorf("google.DefaultClient: %w", err)
	}
	// Create the jobs service client.
	service, err := talent.New(client)
	if err != nil {
		return nil, fmt.Errorf("talent.New: %w", err)
	}

	jobQuery := &talent.JobQuery{
		LocationFilters: []*talent.LocationFilter{
			{
				Address: location,
			},
		},
	}

	if companyName != "" {
		jobQuery.CompanyNames = []string{companyName}
	}

	parent := "projects/" + projectID
	req := &talent.SearchJobsRequest{
		// Make sure to set the RequestMetadata the same as the associated
		// search request.
		RequestMetadata: &talent.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",
		},
		// Set the actual search term as defined in the jobQuery.
		JobQuery: jobQuery,
		// Set the search mode to a regular search.
		SearchMode: "JOB_SEARCH",
	}
	resp, err := service.Projects.Jobs.Search(parent, req).Do()
	if err != nil {
		return nil, fmt.Errorf("failed to search for jobs with city location %s: %w", location, err)
	}

	fmt.Fprintln(w, "Jobs:")
	for _, j := range resp.MatchingJobs {
		fmt.Fprintf(w, "\t%q\n", j.Job.Name)
	}

	return resp, nil
}

Multiple locations

When multiple locations are passed to the search query, along with multiple radii, the maximum radius is taken into account and applied to all locations. There is a limit of 5 locations per job.

Java

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 


/** Multiple locations Search */
public static void multiLocationsSearch(
    String companyName, String location1, double distance1, String location2)
    throws IOException, InterruptedException {
  // Make sure to set the requestMetadata the same as the associated search request
  RequestMetadata requestMetadata =
      new RequestMetadata()
          // Make sure to hash the userID
          .setUserId("HashedUserId")
          // Make sure to hash the sessionID
          .setSessionId("HashedSessionID")
          // Domain of the website where the search is conducted
          .setDomain("www.google.com");
  JobQuery jobQuery =
      new JobQuery()
          .setLocationFilters(
              Arrays.asList(
                  new LocationFilter().setAddress(location1).setDistanceInMiles(distance1),
                  new LocationFilter().setAddress(location2)));
  if (companyName != null) {
    jobQuery.setCompanyNames(Arrays.asList(companyName));
  }
  SearchJobsRequest request =
      new SearchJobsRequest()
          .setRequestMetadata(requestMetadata)
          .setJobQuery(jobQuery)
          .setSearchMode("JOB_SEARCH");
  SearchJobsResponse response =
      talentSolutionClient.projects().jobs().search(DEFAULT_PROJECT_ID, request).execute();
  Thread.sleep(1000);
  System.out.printf("Multiple locations search results: %s", response);

}

Python

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 

def multi_locations_search(
    client_service, company_name, location1, distance1, location2
):
    request_metadata = {
        "user_id": "HashedUserId",
        "session_id": "HashedSessionId",
        "domain": "www.google.com",
    }
    location_filter1 = {"address": location1, "distance_in_miles": distance1}
    location_filter2 = {"address": location2}
    job_query = {"location_filters": [location_filter1, location_filter2]}
    if company_name is not None:
        job_query.update({"company_names": [company_name]})
    request = {
        "job_query": job_query,
        "request_metadata": request_metadata,
        "search_mode": "JOB_SEARCH",
    }
    response = (
        client_service.projects().jobs().search(parent=parent, body=request).execute()
    )
    print(response)

Go

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 


// multiLocationsSearch searches for jobs that fall in the distance of any given
// locations.
func multiLocationsSearch(w io.Writer, projectID, companyName, location, location2 string, distance float64) (*talent.SearchJobsResponse, error) {
	ctx := context.Background()

	client, err := google.DefaultClient(ctx, talent.CloudPlatformScope)
	if err != nil {
		return nil, fmt.Errorf("google.DefaultClient: %w", err)
	}
	// Create the jobs service client.
	service, err := talent.New(client)
	if err != nil {
		return nil, fmt.Errorf("talent.New: %w", err)
	}

	jobQuery := &talent.JobQuery{
		LocationFilters: []*talent.LocationFilter{
			{
				Address:         location,
				DistanceInMiles: distance,
			},
			{
				Address:         location2,
				DistanceInMiles: distance,
			},
		},
	}

	if companyName != "" {
		jobQuery.CompanyNames = []string{companyName}
	}

	parent := "projects/" + projectID
	req := &talent.SearchJobsRequest{
		// Make sure to set the RequestMetadata the same as the associated
		// search request.
		RequestMetadata: &talent.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",
		},
		// Set the actual search term as defined in the jobQuery.
		JobQuery: jobQuery,
		// Set the search mode to a regular search.
		SearchMode: "JOB_SEARCH",
	}
	resp, err := service.Projects.Jobs.Search(parent, req).Do()
	if err != nil {
		return nil, fmt.Errorf("Failed to search for jobs with multi locations %s and %s within %f miles, Err: %w", location, location2, distance, err)
	}

	fmt.Fprintln(w, "Jobs:")
	for _, j := range resp.MatchingJobs {
		fmt.Fprintf(w, "\t%q\n", j.Job.Name)
	}

	return resp, nil
}

Set enableBroadening flag

The enableBroadening flag allows you to relax the restrictions on location and job categories in order to increase the number of results that are returned.

Java

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 


/** Broadening location Search */
public static void broadeningLocationsSearch(String companyName, String location)
    throws IOException, InterruptedException {
  // Make sure to set the requestMetadata the same as the associated search request
  RequestMetadata requestMetadata =
      new RequestMetadata()
          // Make sure to hash the userID
          .setUserId("HashedUserId")
          // Make sure to hash the sessionID
          .setSessionId("HashedSessionID")
          // Domain of the website where the search is conducted
          .setDomain("www.google.com");
  JobQuery jobQuery =
      new JobQuery().setLocationFilters(Arrays.asList(new LocationFilter().setAddress(location)));
  if (companyName != null) {
    jobQuery.setCompanyNames(Arrays.asList(companyName));
  }
  SearchJobsRequest request =
      new SearchJobsRequest()
          .setRequestMetadata(requestMetadata)
          .setJobQuery(jobQuery)
          .setEnableBroadening(true)
          .setSearchMode("JOB_SEARCH");
  SearchJobsResponse response =
      talentSolutionClient.projects().jobs().search(DEFAULT_PROJECT_ID, request).execute();
  Thread.sleep(1000);
  System.out.printf("Broadening locations search results: %s", response);
}

Python

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 

def broadening_location_search(client_service, company_name, location):
    request_metadata = {
        "user_id": "HashedUserId",
        "session_id": "HashedSessionId",
        "domain": "www.google.com",
    }
    location_filter = {"address": location}
    job_query = {"location_filters": [location_filter]}
    if company_name is not None:
        job_query.update({"company_names": [company_name]})
    request = {
        "job_query": job_query,
        "request_metadata": request_metadata,
        "search_mode": "JOB_SEARCH",
        "enable_broadening": True,
    }
    response = (
        client_service.projects().jobs().search(parent=parent, body=request).execute()
    )
    print(response)

Go

For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries. 


// broadeningLocationSearch searches for jobs with a broadening area of given
// location.
func broadeningLocationSearch(w io.Writer, projectID, companyName, location string) (*talent.SearchJobsResponse, error) {
	ctx := context.Background()

	client, err := google.DefaultClient(ctx, talent.CloudPlatformScope)
	if err != nil {
		return nil, fmt.Errorf("google.DefaultClient: %w", err)
	}
	// Create the jobs service client.
	service, err := talent.New(client)
	if err != nil {
		return nil, fmt.Errorf("talent.New: %w", err)
	}

	jobQuery := &talent.JobQuery{
		LocationFilters: []*talent.LocationFilter{
			{
				Address: location,
			},
		},
	}

	if companyName != "" {
		jobQuery.CompanyNames = []string{companyName}
	}

	parent := "projects/" + projectID
	req := &talent.SearchJobsRequest{
		// Make sure to set the RequestMetadata the same as the associated
		// search request.
		RequestMetadata: &talent.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",
		},
		// Set the actual search term as defined in the jobQuery.
		JobQuery: jobQuery,
		// Set the search mode to a regular search.
		SearchMode:       "JOB_SEARCH",
		EnableBroadening: true,
	}
	resp, err := service.Projects.Jobs.Search(parent, req).Do()
	if err != nil {
		return nil, fmt.Errorf("failed to search for jobs with broadening location %v: %w", location, err)
	}

	fmt.Fprintln(w, "Jobs:")
	for _, j := range resp.MatchingJobs {
		fmt.Fprintf(w, "\t%q\n", j.Job.Name)
	}

	return resp, nil
}