Ads library

ads library

FREE AdSpy tool for Facebook™ Ad Library. Search, view and save the Facebook™ ad examples of any advertiser. As an ad finder, Ad Library Helper is a free adspy tool for Facebook™ ad library and tracking competitor`s Facebook™ Ad Examples.

ads library

We used to search ads by turbo ad finder,but it is not available now. And It's always hard to search on Facebook™ Ad Library. Fortunately, by using Ad Library Helper you can easily find competitors' Facebook™ Ad Examples and Facebook™ Ad Post.

Get inspired more quickly by your favorite brands. When searching on Facebook™ Ad Library, we can only view the ad examples of a certain Page once.

But Ad Library Helper provides a more convenient and time-saving function for directly viewing all ad examples. We can also compare ads library related Facebook™ pages in a list with only one search. You can directly view all ad examples of the related Facebook™ pages and Facebook™ ad posts, and sort and filter out what you care about most. You can also easily find relevant political ads, and we also provide a convenient way to filter them.

In the future, we ads library continue to add more channels and functions such as Instagram™ Ad Library, Facebook™ Ad Library(Business), Google™ Ad Library, Youtube™ Ad Examples, TikTok™ Ad Examples.

ads library

Ad Library Helper can collect and track the pages & ad examples you care about. When you track a page, you will see the trend of Like number and the total number of ads about this Page. Users of Facebook™ Ad Library can only search and view the current information and data. Ad Library Helper Features: * Provide a lot of value-adding features than Facebook™ Ad Library, but it is FREE still like Facebook™ Ad Library. * Find Facebook™ ad examples or compare any ads in 1 step * Find competitors' Facebook™ ads quicker * Find political ads quicker * Save and keep tracking the ad examples * Look forward to the following channels “ Instagram™ Ad Library, Google™ Ad Library, Youtube™ Ad Examples, TikTok™ Ad examples” * Looking Ads info from Facebook™ newsFeed * Based on massive data sources, not just Facebook™ Ad Library Important Note: Ad Library Helper is suitable for Facebook™ advertisers, people who view Facebook™ creatives and people who need to view changes in advertising data.

Its data comes from Facebook™'s official ad library. It can provide you an advertising list, which is more convenient and practical than Facebook™ ad library. At the same time it can do adspy over Facebook™ competitors' ads ads library changes, so as to better perform advertising analytics. This extension does NOT belong or related to the official Facebook™ application/website in any ways. It is an unofficial extension that is developed and maintained independently. All the guidelines for Facebook™'s assets and branding use can be found here :https://myadlibrary.com/ The tool collects digital ads based on users' anonymous preferences.

The more ads you collect, the more transparency the public get, and the more credits you get. ADS Virtual library (Books) ADS Digital Library Welcome to the NASA Astrophysics Data System (ADS) Virtual Library.

Here you can browse through the books in the ADS. Following ads library links to the online books relating to astronomy and astrophysics which can be browsed and printed on demand. • Handbook of Space Astronomy and Astrophysics, by Martin V. Zombeck (1990, Cambridge University Press). • The Foundations of Celestial Mechanics by George W. Collins, II (1989, 2004). • The Fundamentals of Stellar Astrophysics, by George W. Collins, II (1989, 2003). • Fundamental Numerical Methods and Data Analysis by George W.

Collins, II (1990, 2003). • The Virial Theorem in Stellar Astrophysics, by George W. Collins, II (1978, Ads library Publishing House, Tuscon, Arizona).

ads library

• De Revolutionibus Orbium Coelestium [On the Revolutions of ads library Heavenly Spheres], by Nicolaus Copernicus (1543). • Astronomiae Instauratae Mechanica [Instruments for ads library Restoration of Astronomy)], by Tycho Brahe (1602). • Images of the solar upper atmosphere from SUMER on SOHO by Uri Feldman, Ingolf E.

Dammasch, Klaus Wilhelm, Philippe Lemaire, Donald M. Hassler; Bruce Battrick, editor (2003, ESA Publications Division). • The Complete Idiot's Guide to The Sun by Jay M. Pasachoff, Ph.D. • Basaltic Volcanism on the Terrestrial Planets, by members of the Basaltic Volcanism Study Project (1981, Lunar and Planetary Institute).

• Chondrules and their Origins, edited by Elbert A. King (1983, Lunar and Planetary Institute). • Lunar Bases and Space Activities of the 21st Century, edited by W.W. Mendell (1986, Lunar and Planetary Institute). • Origin of the Moon, edited by W.K. Hartmann, R.J. Phillips, G. J. Taylor (1986, Lunar and Planetary Institute). • A 65-meter telescope for millimeter wavelengths, by J.W. Findlay and S. von Hoerner (1972, National Radio Astronomy Observatory (NRAO), Charlottesville, Virginia). • Core List of Astronomy Books compiled by Liz Bryson (project coordinator), Diane Fortner, Randall Halvertson, Barbara Kern, Victoria Mitchell, Madeleine Needles, Amy Saxton, and Judie Triplehorn (2003).

ads library

• Core List of Astronomy and Physics Journals compiled by Liz Bryson (project coordinator), Diane Fortner, and Pamela Yorks (2003) We are also making available the following books from our ads library literature collection: • Annals of the Astrophysical Observatory of the Smithsonian Institution, Volume I • Annals of the Astronomical Observatory of Harvard College, Volume VIII For feedback: adshelp@cfa.harvard.edu
Python • Overview • Installation • Configuration • Streaming iterators • Proxy • Enums, types and services • Field masks • Logging • OAuth2 desktop application flow • OAuth2 web application flow • Ads library service account flow • Optional request headers • Resource names • Empty message fields • Protobuf messages • Account Management • Approve merchant center link • Create customer • Ads library account hierarchy • Get account information • Get change details • Get change summary • Get pending invitations • Invite user with access role • Link manager to client • List accessible customers • Reject merchant center link • Update user access • Advanced Operations • Add ad customizer • Add ad group bid modifier • Add app campaign • Add bidding data exclusion • Add bidding seasonality adjustment • Add call ad • Add display upload ad • Add dynamic page feed • Add dynamic page feed asset • Add dynamic search ads • Add expanded text ad with upgraded urls • Add local campaign • Add Performance Max campaign • Add responsive search ad with ad customizer • Add smart campaign • Add smart display ad • Create and attach shared keyword set • Find and remove criteria from shared set • Get ad group bid modifiers • Use cross account bidding strategy • Use portfolio bidding strategy • Basic Operations • Add ad groups • Add campaigns • Add expanded text ads • Add keywords • Add responsive search ad • Get ad groups • Get artifact metadata • Get campaigns • Get expanded text ads • Get keywords • Get responsive search ads • Pause ad • Remove ad • Remove ad group • Remove campaign • Remove keyword • Update ad group • Update campaign • Update expanded text ad • Update keyword • Campaign Management • Add campaign bid modifier • Add campaign draft • Add campaign labels • Add complete campaigns using batch job • Create campaign experiment • Get all disapproved ads • Get campaigns by label • Graduate campaign experiment • Set ad parameters • Update campaign criterion bid modifier • Validate text ad • Extensions • Add affiliate location extensions • Add business profile location extensions • Add call ads library Add geo target • Add hotel callout • Add image extension • Add lead form extension • Add prices • Add sitelinks • Add sitelinks using assets • Migrate promotion feed to asset • Remove entire sitelink campaign extension setting • Update sitelink • Update sitelink campaign extension setting • Remarketing • Add combined rule user list • Add conversion action • Add conversion based ads library list • Add custom ads library • Add customer match user list • Add dynamic remarketing asset • Add expression rule user list • Add flights feed • Add logical user list • Add merchant center dynamic remarketing campaign • Add real estate feed • Add remarketing action • Set up advanced remarketing • Set up remarketing • Update audience target restriction • Upload call conversion • Upload conversion adjustment • Upload conversion enhancement • Upload conversion with identifiers • Upload offline conversion • Upload store sales transactions • Our client libraries provide high-level views and basic building blocks of Google Ads API functionality, making it easier to develop apps quickly.

We recommend starting out with one if you're new to the API. Client library Source Distribution Code examples Java google-ads-java Maven, tar.gz View on GitHub .NET google-ads-dotnet tar.gz, zip View on GitHub PHP google-ads-php tar.gz View on GitHub Python google-ads-python tar.gz, zip View on GitHub Ruby google-ads-ruby gem, tar.gz, zip View on GitHub Perl google-ads-perl tar.gz, zip View on GitHub Configuration Each Ads API Client library provides different configuration settings and loading methods that you can use to customize its behavior.

Here are the environment variables that are common to all client libraries and that can be loaded to set configuration settings: • Client library • GOOGLE_ADS_CONFIGURATION_FILE_PATH: Path to the configuration file. • OAuth2 • Application Mode • GOOGLE_ADS_CLIENT_ID : Set this value to your OAuth2 client ID. • GOOGLE_ADS_CLIENT_SECRET : Set this value to your OAuth2 client secret. • GOOGLE_ADS_REFRESH_TOKEN : Set this value to a pre-generated OAuth2 refresh token if you want to reuse OAuth2 tokens.

This setting is optional. • Service Account Mode • GOOGLE_ADS_JSON_KEY_FILE_PATH : Set this value to the OAuth2 JSON configuration file path. • GOOGLE_ADS_IMPERSONATED_EMAIL : Set this value to the email address of the account you are impersonating. • Google Ads API • GOOGLE_ADS_DEVELOPER_TOKEN : Set this to your developer token. • GOOGLE_ADS_LOGIN_CUSTOMER_ID : This is the customer ID of the authorized customer to use in the request, without hyphens ( -).

• GOOGLE_ADS_LINKED_CUSTOMER_ID : This header is only required for methods that update the resources of an entity when permissioned through Linked Accounts in the Google Ads UI ( AccountLink resource in the Google Ads API).

Set this value to the ads library ID of the data provider that updates the resources of the specified customer ID. It should be set without hyphens ( -). To learn more about Linked Accounts, visit the Help Center. Note: For more detail on how to use them and any additional client library-specific environment variables, refer to the configuration guides that are dedicated to each client library: Java.

NET, PHP, Ads library, Ruby, Perl. Environment variables are commonly defined in a bash configuration file such as a .bashrc or .bash_profile file located in the $HOME directory. They can also be defined using the command line. Note: These instructions assume you're using Bash. If you're using a different shell, consult documentation for equivalent commands. Here are some basic steps to define an environment variable using a .bashrc file using a terminal: # Append the line "export GOOGLE_ADS_CLIENT_ID=1234567890" to # the bottom of your .bashrc file.

echo "export GOOGLE_ADS_CLIENT_ID=1234567890" >> ~/.bashrc # Update your bash environment to use the most recently updated # version of your .bashrc file.

ads library

src ~/.bashrc Environment variables can also be set in your terminal instance directly from the command line: export GOOGLE_ADS_CLIENT_ID=1234567890 Another alternative is to set environment variables when calling the command that uses them: GOOGLE_ADS_CLIENT_ID=1234567890 php /path/to/script/that/uses/envvar.php Diagnostic tool Google Ads Doctor analyzes your client library environment by • verifying your OAuth2 credentials with Google Ads API.

• guiding you through fixing any OAuth2 problems in your configuration file. Follow these steps to ads library the command-line tool for diagnosing your issues immediately: Linux (64-bit) git clone https://github.com/googleads/google-ads-doctor.git cd google-ads-doctor/oauthdoctor/bin/linux/amd64 ./oauthdoctor -language [java-dotnet-php-python-ruby] \ -oauthtype [web-installed_app-service_account] \ -configpath [/my/config/file/path] \ -verbose Windows (64-bit) git clone https://github.com/googleads/google-ads-doctor.git cd google-ads-doctor/oauthdoctor/bin/windows/amd64 ./oauthdoctor.exe -language [java-dotnet-php-python-ruby] \ -oauthtype [web-installed_app-service_account] \ -configpath [/my/config/file/path] \ -verbose Mac OS X (64-bit) git clone https://github.com/googleads/google-ads-doctor.git cd google-ads-doctor/oauthdoctor/bin/darwin/amd64 ./oauthdoctor -language [java-dotnet-php-python-ruby] \ -oauthtype [web-installed_app-service_account] \ -configpath [/my/config/file/path] \ -verbose Linux (32-bit) git clone https://github.com/googleads/google-ads-doctor.git cd google-ads-doctor/oauthdoctor/bin/linux/386 ./oauthdoctor -language [java-dotnet-php-python-ruby] \ -oauthtype [web-installed_app-service_account] \ -configpath [/my/config/file/path] \ -verbose Windows (32-bit) git clone https://github.com/googleads/google-ads-doctor.git ads library google-ads-doctor/oauthdoctor/bin/windows/386 ./oauthdoctor.exe -language [java-dotnet-php-python-ruby] \ -oauthtype [web-installed_app-service_account] \ -configpath [/my/config/file/path] \ -verbose Mac OS X (32-bit) git clone https://github.com/googleads/google-ads-doctor.git cd google-ads-doctor/oauthdoctor/bin/darwin/386 ./oauthdoctor -language [java-dotnet-php-python-ruby] \ -oauthtype [web-installed_app-service_account] \ -configpath [/my/config/file/path] \ -verbose To get additional options with the tool, you either read the README or run this command: Linux / Mac OS X ./oauthdoctor -help Windows ./oauthdoctor.exe -help Search pagination GoogleAdsService.Search is typically used in interactive apps that display pages of results.

Our client library automatically implements paging when you iterate results so that you can sequentially download and process them all at once, for example: Java private void runExample(GoogleAdsClient googleAdsClient, long customerId, long labelId) { try (GoogleAdsServiceClient googleAdsServiceClient = googleAdsClient.getLatestVersion().createGoogleAdsServiceClient()) { // Creates a request that will retrieve all campaign labels with the specified // labelId using pages of the specified page size.

SearchGoogleAdsRequest request = SearchGoogleAdsRequest.newBuilder() .setCustomerId(Long.toString(customerId)) .setPageSize(PAGE_SIZE) .setQuery( "SELECT campaign.id, campaign.name, label.id, label.name " + "FROM campaign_label WHERE label.id = " + labelId + " ORDER BY campaign.id") .build(); // Issues the search request. SearchPagedResponse searchPagedResponse = googleAdsServiceClient.search(request); // Checks if the total results count is greater than 0.

if (searchPagedResponse.getPage().getResponse().getTotalResultsCount() > 0) { // Iterates over all rows in all pages and prints the requested field values for the // campaigns and labels in each row.

The results include the campaign and label // ads library because these were included in the search criteria. for (GoogleAdsRow googleAdsRow : searchPagedResponse.iterateAll()) { System.out.printf( "Campaign found with name '%s', ID %d, and label: %s.%n", googleAdsRow.getCampaign().getName(), googleAdsRow.getCampaign().getId(), googleAdsRow.getLabel().getName()); } } else { System.out.println("No campaigns were found."); } } } GetCampaignsByLabel.java C# public void Run(GoogleAdsClient client, long customerId, long labelId) { // Get the GoogleAdsServiceClient.

GoogleAdsServiceClient googleAdsService = client.GetService(Services.V10.GoogleAdsService); // Creates a request that will retrieve all campaign labels with the specified // labelId using pages of the specified page size.

SearchGoogleAdsRequest request = new SearchGoogleAdsRequest() { CustomerId = customerId.ToString(), Query = "SELECT campaign.id, campaign.name, label.id, label.name " + $"FROM campaign_label WHERE label.id = {labelId} ORDER BY campaign.id", }; try { int count = 0; // Issues the search request and prints the result.

foreach (GoogleAdsRow googleAdsRow in googleAdsService.Search(request)) { count++; Console.WriteLine($"Campaign found with name '{googleAdsRow.Campaign.Name}'" + $", ID {googleAdsRow.Campaign.Id}, and label: " + $"'${googleAdsRow.Label.Name}'."); } if (count == 0) { Console.WriteLine("No campaigns were found."); } } catch (GoogleAdsException e) ads library Console.WriteLine("Failure:"); Console.WriteLine($"Message: {e.Message}"); Console.WriteLine($"Failure: {e.Failure}"); Console.WriteLine($"Request ID: {e.RequestId}"); throw; } } GetCampaignsByLabel.cs PHP public static function runExample( GoogleAdsClient $googleAdsClient, int $customerId, int $labelId ) { $googleAdsServiceClient = $googleAdsClient->getGoogleAdsServiceClient(); // Creates a query that will retrieve all campaign labels with the specified // label Ads library.

$query = "SELECT campaign.id, campaign.name, label.id, label.name ". "FROM campaign_label WHERE label.id = $labelId ORDER BY campaign.id"; // Issues a search request by specifying page size. $response = $googleAdsServiceClient->search($customerId, $query, ['pageSize' => self::PAGE_SIZE]); // Iterates over all rows in all pages and prints the requested field values for the // campaigns and labels in each row. The results include the campaign and label // objects because these were ads library in the search criteria.

ads library

foreach ($response->iterateAllElements() as $googleAdsRow) { /** @var GoogleAdsRow $googleAdsRow */ printf( "Campaign found with name '%s', ID %d, and label: '%s'.%s", $googleAdsRow->getCampaign()->getName(), $googleAdsRow->getCampaign()->getId(), $googleAdsRow->getLabel()->getName(), PHP_EOL ); } } GetCampaignsByLabel.php Python def main(client, customer_id, label_id, page_size): """Demonstrates how to retrieve all campaigns by a given label ID.

Args: client: An ads library GoogleAdsClient instance. customer_id: A client customer ID str. label_id: A label ID to use when searching for campaigns. page_size: An int of the number of results to include in each page of results.

""" ga_service = client.get_service("GoogleAdsService") # Creates a query that will retrieve all campaign labels with the # specified label ID. query = f""" SELECT campaign.id, campaign.name, label.id, label.name FROM campaign_label WHERE label.id = "{label_id}" ORDER BY campaign.id""" # Retrieves a google.api_core.page_iterator.GRPCIterator instance # initialized with the specified request parameters.

request = client.get_type("SearchGoogleAdsRequest") request.customer_id = customer_id request.query = query request.page_size = page_size iterator = ga_service.search(request=request) # Iterates over all rows in all pages and prints the requested field # values for the campaigns and labels in each row. The results include # the campaign and label objects because these were included in the # search criteria. for row in iterator: print( f'Campaign found with ID "{row.campaign.id}", name ' f'"{row.campaign.name}", and label "{row.label.name}".' ) if __name__ == "__main__": # GoogleAdsClient will read the google-ads.yaml configuration file in the # home directory if none is specified.

googleads_client = GoogleAdsClient.load_from_storage(version="v10") parser = argparse.ArgumentParser( description="Lists all campaigns for specified customer." ) # The following argument(s) should be provided to run the example. parser.add_argument( "-c", "--customer_id", type=str, required=True, help="The Google Ads customer ID.", ) parser.add_argument( "-l", "--label_id", type=str, required=True, help="A label ID associated with a campaign.", ) args = parser.parse_args() try: main( googleads_client, args.customer_id, args.label_id, _DEFAULT_PAGE_SIZE, ) except GoogleAdsException ads library ex: print( f'Request with ID "{ex.request_id}" failed with status ' f'"{ex.error.code().name}" and includes the following errors:' ) for error in ex.failure.errors: print(f'\tError with message "{error.message}".') if error.location: for field_path_element in error.location.field_path_elements: print(f"\t\tOn field: {field_path_element.field_name}") sys.exit(1) get_campaigns_by_label.py Ruby def get_campaigns_by_label(customer_id, label_id) # GoogleAdsClient will read a config file from # ENV['HOME']/google_ads_config.rb when called without parameters client = Google::Ads::GoogleAds::GoogleAdsClient.new query = <<~EOQUERY SELECT campaign.id, ads library, label.id, label.name FROM campaign_label WHERE label.id = '#{label_id}' ORDER BY campaign.id EOQUERY ga_service = client.service.google_ads response = ga_service.search( customer_id: customer_id, query: query, page_size: PAGE_SIZE, ) response.each do -row- puts "Campaign with ID #{row.campaign.id} and name '#{row.campaign.name}' was found." end end get_campaigns_by_label.rb Perl sub get_campaigns_by_label { my ($api_client, $customer_id, $label_id) = @_; # Create the search query.

my $search_query = "SELECT campaign.id, campaign.name, label.id, label.name ". "FROM campaign_label WHERE label.id = $label_id ORDER BY campaign.id"; # Create a search Google Ads request that will retrieve all campaign labels # with the specified label Id using pages of the specified page size.

my $search_request = Google::Ads::GoogleAds::V10::Services::GoogleAdsService::SearchGoogleAdsRequest ->new({ customerId => $customer_id, query => $search_query, pageSize => PAGE_SIZE }); # Get the GoogleAdsService.

my $google_ads_service = $api_client->GoogleAdsService(); my $iterator = Google::Ads::GoogleAds::Utils::SearchGoogleAdsIterator->new({ service => $google_ads_service, request => $search_request }); # Iterate over all rows in all pages and print the requested field values for the # campaigns and labels in each row.

The results include the campaign and label # objects because these were ads library in the search criteria. while ($iterator->has_next) { my $google_ads_row = $iterator->next; printf "Campaign found with name '%s', ID %d, and label: '%s'.\n", $google_ads_row->{campaign}{name}, $google_ads_row->{campaign}{id}, $google_ads_row->{label}{name}; } return 1; } get_campaigns_by_label.pl Depending on the use case, you may need to: • Optimize how many pages are fetched.

• Optimize how much results are stored at any one time. • Download and process pages of results in a particular order. This can be done by storing the page tokens instead of results, which adds more complexity to your code. Java /** * Fetches and prints the results of a page of a search using a cache of page tokens. * * @param googleAdsClient the Google Ads API client. * @param customerId the client customer ID.

* @param query the search query. * @param pageNumber the number of the page to fetch and print results for. * @param pageTokens the cache of page tokens to use and update. */ private static void fetchAndPrintPageResults( GoogleAdsClient googleAdsClient, long customerId, String query, int pageNumber, SortedMap pageTokens) { int currentPageNumber; // There is no need to fetch the pages we already know the page tokens for.

if (pageTokens.containsKey(pageNumber)) { System.out.println( "The token of the requested page was cached, we will use it to ads library the results."); currentPageNumber = pageNumber; } else { System.out.printf( "The token of the requested ads library was never cached, we will use the closest page we know" + " the token for (page %d) and sequentially get pages from there.%n", pageTokens.size()); currentPageNumber = pageTokens.lastKey(); } // Fetches next pages in sequence and caches their tokens until the requested page results // are returned.

while (currentPageNumber <= pageNumber) { // Fetches the next page. System.out.printf("Fetching page %d.%n", currentPageNumber); SearchGoogleAdsRequest request = SearchGoogleAdsRequest.newBuilder() .setCustomerId(Long.toString(customerId)) .setPageSize(PAGE_SIZE) .setQuery(query) .setReturnTotalResultsCount(true) // Uses the page token cached for the current page number.

.setPageToken(pageTokens.get(currentPageNumber)) .build(); try (GoogleAdsServiceClient googleAdsServiceClient = googleAdsClient.getLatestVersion().createGoogleAdsServiceClient()) { SearchPagedResponse response = googleAdsServiceClient.search(request); cacheNextPageToken(pageTokens, response.getPage(), currentPageNumber + 1); // Prints only the results for the requested page.

ads library

if (currentPageNumber == pageNumber) { // Prints the results of the requested page. System.out.printf("Printing results found for page %d:%n", pageNumber); for (GoogleAdsRow googleAdsRow : response.getPage().getResponse().getResultsList()) { System.out.printf( "- Campaign with ID %d and name '%s'.%n", googleAdsRow.getCampaign().getId(), googleAdsRow.getCampaign().getName()); } } currentPageNumber++; } } } NavigateSearchResultPagesCachingTokens.java C# ///

/// Fetches and prints the results of a page of a search using a cache of page tokens.

///

/// The Google Ads API Service client. /// The request. /// The number of the page to fetch and print results for. /// The cache of page tokens to use and update. /// private static void FetchAndPrintPageResults(GoogleAdsServiceClient googleAdsService, SearchGoogleAdsRequest request, int pageNumber, Dictionary pageTokens) { int currentPageNumber = pageNumber; // There is no need to fetch the pages we already know the page tokens for.

if (pageTokens.ContainsKey(pageNumber - 1)) { Console.WriteLine("The token of the requested page was cached, we will use it " + "to get the results."); currentPageNumber = pageNumber; } else { Console.WriteLine("The token of the requested page was never cached, we will " + $"use the closest page we know the token for (page #{pageNumber}) and " + $"sequentially get pages from there."); currentPageNumber = pageNumber; while (!pageTokens.ContainsKey(currentPageNumber)) { currentPageNumber--; } } SearchGoogleAdsResponse response = null; // Fetches next pages in sequence and caches their tokens until the requested page // results are returned.

while (currentPageNumber <= pageNumber) { // Fetches the next page. Console.WriteLine($"Fetching page #{currentPageNumber}."); request.PageToken = pageTokens[currentPageNumber - 1]; response = googleAdsService.Search(request) .AsRawResponses().First(); CacheNextPageToken(pageTokens, response, currentPageNumber); currentPageNumber++; } // Prints the results of the requested page.

Console.WriteLine($"Printing results found for the page #{pageNumber}"); foreach (GoogleAdsRow row in response.Results) { Campaign c = row.Campaign; Console.WriteLine($" - Campaign with ID {c.Id} and name '{c.Name}'"); } } NavigateSearchResultPagesCachingTokens.cs PHP /** * Fetches and prints the results of a page of a search using a cache of page tokens.

* * @param GoogleAdsServiceClient $googleAdsServiceClient the Google Ads API Service client * @param int ads library the customer ID * @param string $searchQuery the search query * @param array $searchOptions the search options * @param int $pageNumber the number of the page to fetch and print results for * @param array &$pageTokens ads library cache of page tokens to use and update */ private static function fetchAndPrintPageResults( GoogleAdsServiceClient $googleAdsServiceClient, int $customerId, string $searchQuery, array $searchOptions, int $pageNumber, array &$pageTokens ) { // There is no need to fetch the pages we already know the page tokens for.

if (isset($pageTokens[$pageNumber])) { printf( 'The token of the requested page was cached, we will use it to get the results.%s', PHP_EOL ); $currentPageNumber = $pageNumber; } else { printf( 'The token of the requested page was never cached, we will use the closest page '. 'we know the token for (page #%d) and sequentially get pages from there.%s', count($pageTokens), PHP_EOL ); $currentPageNumber = count($pageTokens); } // Fetches next pages in sequence and caches their tokens until the requested page results // are returned.

while ($currentPageNumber <= $pageNumber) { // Fetches the next page. printf('Fetching page #%d.%s', $currentPageNumber, PHP_EOL); $response = $googleAdsServiceClient->search( $customerId, $searchQuery, $searchOptions + [ // Uses the page token cached for the current page number. 'pageToken' => $pageTokens[$currentPageNumber] ] ); self::cacheNextPageToken($pageTokens, $response->getPage(), $currentPageNumber); $currentPageNumber++; ads library // Prints the results of the requested page.

printf('Printing results found for the page #%d:%s', $pageNumber, PHP_EOL); foreach ($response->getPage()->getIterator() as $googleAdsRow) { /** @var GoogleAdsRow $googleAdsRow */ printf( " - Campaign with ID %d and name '%s'.%s", $googleAdsRow->getCampaign()->getId(), $googleAdsRow->getCampaign()->getName(), PHP_EOL ); } } NavigateSearchResultPagesCachingTokens.php Python def _fetch_and_print_results( client, customer_id, query, page_number, page_tokens ): """Fetches and prints the results ads library a page using a cache of page tokens.

Args: client: an initialized GoogleAdsClient instance.

ads library

customer_id: a client customer ID. query: the search query. page_number: the number of the page to fetch and print results for. page_tokens: the cache of page tokens to use and update.

""" current_page_number = None # Ads library is no need to fetch the pages we already know the page tokens for. if page_tokens.get(page_number, None): print( "The token of the request page was cached, we will ads library it to get " "the results." ) current_page_number = page_number else: count = len(page_tokens.keys()) print( "The token of the requested page was never cached, we ads library use " f"the closest page we know the token for (page {count}) and " "sequentially get pages from there." ) current_page_number = count googleads_service = client.get_service("GoogleAdsService") # Fetches next pages in sequence and caches their tokens until the requested # page results are returned.

while current_page_number <= page_number: # Fetches the next page. print(f"Fetching page {current_page_number}.") request = client.get_type("SearchGoogleAdsRequest") request.customer_id = customer_id request.query = query request.page_size = _PAGE_SIZE request.return_total_results_count = True # Uses the page token cached for the current page number.

request.page_token = page_tokens[current_page_number] response = googleads_service.search(request=request) _cache_next_page_token(page_tokens, response, current_page_number) current_page_number += 1 ads library Prints the results of the requested page. print(f"Printing results found for the page {page_number}.") for row in response.results: print( f" - Campaign with ID {row.campaign.id} and name " f"{row.campaign.name}." ) navigate_search_result_pages_caching_tokens.py Ruby def fetch_and_print_page_results(client, customer_id, query, ads library, return_total_results_count, page_number, page_tokens) if page_tokens.has_key?(page_number) puts 'The page token for the request page was cached.

Reusing it.' current_page = page_number else puts "The token for the requested page has not been cached yet. We will start " \ "at page #{page_tokens.size} and request and cache pages until we find it." current_page = page_tokens.size end while current_page <= page_number puts page_tokens response = client.service.google_ads.search( customer_id: customer_id, query: query, page_size: page_size, return_total_results_count: return_total_results_count, page_token: page_tokens[current_page], ) cache_next_page_token(page_tokens, response.page, current_page + 1) current_page += 1 end puts "Printing results found for page #{page_number}." response.page.response.results.each do -result- puts "- Campaign with ID #{result.campaign.id} and name #{result.campaign.name}." end end navigate_search_result_pages_caching_tokens.rb Perl # Fetches and prints the results of a page of a search using a cache of page tokens.

sub fetch_and_print_page_results { my ( $api_client, $customer_id, $query, $search_options, $page_number, $page_tokens ) = @_; my $current_page_number = undef; # There is no need to fetch the pages we already know the page tokens for. if (exists $page_tokens->{$page_number}) { print "The token of the requested page was cached, ". "we will use it to get the results.\n"; $current_page_number = $page_number; } else { printf "The token of the requested page was never cached, ".

"we will use the closest page we know the token for (page #%d) ". "and sequentially get pages from there.\n", scalar keys %$page_tokens; $current_page_number = scalar keys %$page_tokens; } # Fetch next pages in sequence and cache their tokens until the requested page # results are returned. my $response = undef; while ($current_page_number <= $page_number) { # Fetch the next page. printf "Fetching page #%d.\n", $current_page_number; $response = $api_client->GoogleAdsService()->search({ customerId => $customer_id, query => $query, %$search_options, # Use the page token cached for the current page number.

pageToken => $page_tokens->{$current_page_number}}); cache_next_page_token($page_tokens, $response, $current_page_number); $current_page_number++; } # Print the results of the requested page.

printf "Printing results found for the page #%d:\n", $page_number; foreach my $google_ads_row (@{$response->{results}}) { printf " - Ads library with ID %d and name '%s'.\n", $google_ads_row->{campaign}{id}, $google_ads_row->{campaign}{name}; } } navigate_search_result_pages_caching_tokens.pl Code examples Check out our code examples of some common functions in the Google Ads API.

Send feedback Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 Ads library, and code samples are ads library under the Apache 2.0 License. For details, see the Google Developers Site Policies.

Java is a registered trademark of Oracle and/or its affiliates. Last updated 2022-05-04 UTC. [{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }] [{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }] Need to tell us more?

• Blog • Welcome to the New ADS • Introduction to the New ADS • Personalization in the New ADS: ORCID and Libraries • Modernizing ADS Infrastructure: From 1992 to 2019 • Searching Affiliations in the New ADS • What are people ads library about what you want to think about? • Searchable Full Text in the new ADS • Advanced Searching with the ADS API • How to Use the ADS to Find Experts • Working with ADS Libraries toggle sidebar ADS Libraries The ADS Libraries are intended to be the place for creating and curating collections of bibliographic records.

whether it is for an article you are writing, a CV, or for sharing with colleagues. The libraries are much like the shopping basket found in services such as Amazon, and the features currently available are outlined below. The ADS Libraries are only available to users who have an ADS account, so head over to the sign up page first.

Creating and editing a library There are two ways to create an ADS library: • From the search results page, select your relevant papers, and select the Add papers to library button.

ads library

Fill in a library name and press submit. • Go the My Account drop down and select ADS Libraries. Press the Create a library button. It is possible to modify the name and description of the library you have created. To do this, simply navigate to the ADS Libraries page from the My Account drop down, at the top right of the web interface.

Once there, you can select your library of interest, and press edit on the attribute you would like to modify. To delete any of the records in your library, simply navigate to the library and press the red x next to the bibcode you ads library not want in the library. To delete the entire library, navigate to the library page, click on the “View Editing Options” button and select the “Delete library” option.

Once deleted, a library is gone forever, so click with caution! Making your library public and managing permissions You can make your library publicly viewable ads library non-ADS users by going to the Manage Access tab within your ADS Libraries section under My Account. Press the Make this library public button to make it public.

This button generates a unique URL that you can give to people to view your library. You have the option to make your library private again in the future, in the same part of the interface.

By default, all libraries are private. You can also add collaborators to a library to allow other users to view, edit, and/or administrate your library. Available permissions: • Read Only: Can view the contents of a private library • Read & Write: Can view a library and add/remove records to it • Admin: Can view a library, add/remove records, edit the library name and description, and add/remove other collaborators To add a collaborator: • Go to the Manage Access tab and scroll ads library the Collaborators section.

• Click the Add Collaborator button. • Fill out the email address of the user you’d like to add as a collaborator (they must have an ADS user account under this email ads library and choose their permission level.

• Click Add Collaborator to finish adding the user. The user will be emailed to notify them of their updated permissions. Editing collaborators’ permissions or revoking their access can be done directly from the Manage Access tab. Note that you must be the library owner or have admin permissions to add, edit, or remove collaborators. Visualisations, metrics, and exports Like the main search interface, you can make visualisations, look at metrics, and create exports for the bibcodes within your library.

To do so, simply navigate to your ADS Library via the button under My Account and then use the sub-menu buttons Export, Metrics, and Visualize. You can also access the same features by using the View this library in the ADS Search Results Page. For details on these features, look at the main help pages.

Citation Helper This option gives a list of 10 results which consists of publications that cite and/or are cited by papers in the list you just submitted, but they were not in this list. The process closely resembles the network approach of establishing “friends of friends”. Assuming that the bibcodes provided are all valid, it is still possible that no results will be returned.

If results are returned, they have a score associated with them.

ads library

This score essentially reflects how many “friends” know these other “friends”. The envisioned use case for this is the following. While in the process of writing a paper, you maintain ads library ADS Library which represents the bibliography of your paper. When you think you are done, this tool may help you identify “missing” papers that might be considered for citation, or more simply, find papers very closely related to a set of papers that you have selected.

If there are any papers you would like to add to your library, select them an click the button “Add selected papers to this library”.

Set operations Set operations allow you to perform operations on one or more libraries. To access these, click the Actions button in the upper right of the main page listing all of your libraries. The Actions button will take you to the Library Operations page, where you can select one of the available set operations: • Union: take the union of the primary and all of the secondary libraries. The result, which includes all papers in any of the input libraries, is saved to a new library • Intersection: take the intersection of the primary and all of the secondary libraries.

The result, which includes only papers present ads library all of the input libraries, is saved to a new library • Difference: take the difference between the primary and all of the secondary libraries. The result, which includes papers present ads library the primary library but in none of the secondary libraries, is saved to a new library • Copy: copy the contents of the source library into the target library. The target library is not emptied first; use the empty operation on the target library first in order to create a duplicate of the source library in the target library • Empty: empty the source library of its contents (no secondary library is needed) After selecting the set operation, select the primary (or source) library, and any secondary (or target) libraries, as needed.

Note that ads library than one secondary library is allowed when taking the union, intersection, or difference; click the Add Library button to add another secondary library. You may also choose to supply a new library name for the result of the union, intersection, or difference operations. If no name is supplied, a default name will be used, which can be edited after the library is created. Import from ADS Classic Linking accounts If you have an account in our legacy system, ADS Classic, it is possible to import libraries from your old account into the new ADS interface.

First login with your normal credentials on ads library new ADS, and then navigate to the Customize Settings page: Once there, select Import Libraries in the left panel: If you are linking an ADS Classic account, you will need to specify your email, your password used for your ADS Classic account, and the mirror at which you have an account. If you need to link a different account, then simply press Sign into a new Classic account Importing libraries Once you have successfully connected your ADS Classic account with the new ADS, you now have the option to import your ADS Classic libraries into the new ADS.

You can see my original ADS Classic library now exists in the new ADS: ADS Classic The new ADS ATTENTION: the following rules are used to import your libraries into the new interface • All the libraries you own will be imported, and created with their ‘Name’ and ‘Description’ from ADS Classic. Entries for all bibcodes for each library will be created also. However, notes attached to individual entries within a library will not be imported and are not supported in the new ADS. • If you have a library in the new ADS with the same name, it will merge the documents from your ADS Classic library into the new ADS; the new ADS takes precedent.

• You can repeat this process as many times as you wish, but must keep in mind the actions of 2. and 3. • You cannot undo your import, you must delete a library and re-import if you make a mistake. FAQ • “ I can’t seem to authenticate my ADS Classic account” Make sure you i) actually have an ADS Classic account, and ii) that you selected the correct mirror - otherwise it won’t work.

If you are still running into trouble, then contact us. • “ I can’t seem to import my libraries” You should make sure you actually have any libraries to import from your ADS Classic library. It is more than likely you are trying to import from an account that does not have any. However, if you do have libraries and keep running into this problem then contact us. • “ I can’t find the export format for the software I’m trying to use” If you think we should supply a format for another third-party software that is used then let us know.

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