By Scott Knaster, Google Developers Blog Editor

On Fridaygram we love to celebrate amazing new Street View images. This week we announced new panoramic views of the Galapagos Islands, collected with with the Street View Trekker in partnership with the Charles Darwin Foundation (CDF) and the Galapagos National Parks Directorate (GNPD). These images will go live on Google Maps later this year, but you can see a preview below and on the Official Google Blog.

The Maps team’s 10-day adventure included lots of interaction with local wildlife, but didn’t take place entirely on land. The team worked with the Catlin Seaview Survey to collect underwater ocean images too. And in addition to being beautiful and fun, these pictures have a practical use: they act as a visual record that can be compared to changes observed in the future.

Speaking of wildlife, do you have a smart dog? And does your smart dog know 1000+ words, plus have a basic comprehension of grammar? Meet Chaser, a 9-year-old border collie who has been taught to recognize the names of 1000 objects, as well as the meaning of some verbs and prepositions. In tests, Chaser correctly (most of the time) responded to commands such as “take ball to Frisbee”, or even “to Frisbee take ball”. If only our friends and family were that helpful.

Finally, there’s some typically mind-blowing news from the world of quantum physics. We already know that quantum particles can share a connection called entanglement, which allows one particle to reflect the state of another no matter how far apart they are. Now an experimental discovery shows that particles can be entangled even if they don’t exist at the same time. We agree with experimenter Jeremy O'Brien of the University of Bristol, who said “It’s really cool”.


Fridaygram is about randomly cool and nerdy stories that we hope will amuse you and possibly inspire your weekend. Around here we’re still feeling the Google I/O afterglow, so we’re going to recommend you spend some time this weekend watching some of the many session videos from I/O. If that’s not your thing, maybe you’d like this brief but inspiring video that kicked off the conference.

By Scott Knaster, Google Developers Blog Editor


“Google I/O is an annual developer conference featuring highly technical, in-depth sessions, and showcasing the latest from Google's product teams and partners.”
   – official description

Google I/O 2013 has just ended, and even more than usual, this one was for you, our developers. This year, we focused on providing new tools and services you’ve been asking for, plus a few surprises that we hope inspired and delighted you.

• Android gets its own IDE: Android Studio, based on IntelliJ IDEA Community Edition.
• Google Play Services 3.1 brings game services, location APIs, Google Cloud Messaging enhancements, and Cross-Platform Single Sign On.
• An updated Google Play Developer Console adds a very cool app translation service, revenue graphs, alpha and beta testing and staged rollouts, optimization tips, and referral tracking.
• We showed off a whole new look for Google Maps and Maps APIs, featuring new base map tiles, a new default marker, a new info window style, and a style refresh for controls.
• In Google Cloud Platform news, we announced that Google Compute Engine is now open to everyone and has sub-hour billing, we’ve added a PHP runtime to App Engine, and we introduced Google Cloud Datastore.
• We showed new Google Wallet features: the Instant Buy Android API, which makes buying in native Android apps fast and easy, and the Wallet Objects API, which lets you connect your loyalty programs, offers and more to Google Wallet.

Although we put developer announcements first this year, we didn’t skimp on the cool stuff for everyone: we refreshed the look of the Google+ stream, launched expanded Hangouts, totally revamped Google+ photos, announced Google Play Music All Access, showed off conversational search, and demoed some amazing Chrome Experiments.

Of course, Google I/O isn’t just about announcements. It’s our chance to share what’s new with you in those highly technical, in-depth sessions and for you to meet and interact with our engineers and other Googlers, in person and via the Internet. Once again this year, all sessions were recorded and are being posted to Google Developers Live (GDL) for you to peruse whenever it’s convenient for you.

We love putting on Google I/O, and that’s one reason we created GDL. With GDL, we don’t have to pack all our presentations into a 3-day conference. You’ll find new programs on GDL every week, from the same people who present at Google I/O. Just like during I/O, you can watch live or see recordings whenever you want. You can subscribe to the Google Developers channel on YouTube to be notified when new programs are posted.

Whether you came to San Francisco, participated in I/O Extended, or watched our live streams, we thank you for your attention and dedication. Here’s to Google I/O 2014!

By Andrew Jessup, Product Manager

Cross-posted from the Google Cloud Platform Blog

At Google I/O, we announced PHP as the latest supported runtime for Google App Engine in Limited Preview. PHP is one of the world's most popular programming languages, used by developers to power everything from simple web forms to complex enterprise applications.

Now PHP developers can take advantage of the scale, reliability and security features of App Engine. In addition, PHP runs well with other parts of Google Cloud Platform. Let's look at how this works.

Connecting to Google Cloud SQL from App Engine for PHP

Many PHP developers start with MySQL when choosing a database to store critical information, and a wide variety of products and frameworks such as WordPress make extensive use of MySQL’s rich feature set. Google Cloud SQL provides a reliable, managed database service that is MySQL 5.5 compatible and works well with App Engine.

To set up a Cloud SQL database, sign into Google Cloud Console - create a new project, choose Cloud SQL and create a new instance.

After you create the instance, it's automatically associated with your App Engine app.

You will notice Cloud SQL instances don’t need an IP address. Instead they can be accessed via a compound identifier made up of their project name and instance name, such as hello-php-gae:my-cloudsql-instance.

From within PHP, you can access Cloud SQL directly using the standard PHP MySQL libraries - mysql, mysqli or PDO_MySQL. Just specify your Cloud SQL database with its identifier, such as:

<?php

$db = new PDO(
  'mysql:unix_socket=/cloudsql/hello-php-gae:my-cloudsql-instance;dbname=demo_db;charset=utf8',
  'demo_user',
  'demo_password'
);

foreach($db->query('SELECT * FROM users') as $row) {
  echo $row['username'].' '.$row['first_name']; //etc...
}

Methods such as query() work just as you’d expect with any MySQL database. This example uses the popular PDO library, although other libraries such as mysql and mysqli work just as well.

Storing files with PHP and Google Cloud Storage

Reading and writing files is a common task in many PHP projects, whether you are reading stored application state, or generating formatted output (e.g., writing PDF files). The challenge is to find a storage system that is as scalable and secure as Google App Engine itself. Fortunately, we have exactly this in Google Cloud Storage (GCS).

The first step in setting up Google Cloud Storage is to create a bucket:

With the PHP runtime, we’ve implemented native support for GCS. In particular, we’ve made it possible for PHP’s native filesystem functions to read and write to a GCS bucket.

This code writes all prime numbers less than 2000 into a file on GCS:

<?php

$handle = fopen('gs://hello-php-gae-files/prime_numbers.txt','w');

fwrite($handle, "2");
for($i = 3; $i <= 2000; $i = $i + 2) {
  $j = 2;
  while($i % $j != 0) {
    if($j > sqrt($i)) {
      fwrite($handle, ", ".$i);
      break;
    }
    $j++;
  }
}

fclose($handle);

The same fopen() and fwrite() commands are used just as if you were writing to a local file. The difference is we’ve specified a Google Cloud Storage URL instead of a local filepath.

And this code reads the same file back into memory and pulls out the 100th prime number, using file_get_contents():

<?php

$primes = explode(",",
  file_get_contents('gs://hello-php-gae-files/prime_numbers.txt')
);

if(isset($primes[100]))
  echo "The 100th prime number is ".$primes[100];

And more features supported in PHP

Many of our most popular App Engine APIs are now supported in PHP, including our zero-configuration Memcache, Task Queues for asynchronous processing, Users API, Mail API and more. The standard features you’d expect from App Engine, including SSL support, Page Speed Service, versioning and traffic splitting are all available as well.

Open today in Limited Preview

Today we’re making App Engine for PHP available in Limited Preview. Read more about the runtime in our online documentation, download an early developer SDK, and sign up to deploy applications at https://cloud.google.com/appengine/php.


Andrew Jessup is a Product Manager at Google, working on languages and runtimes for Google App Engine.

Posted by Scott Knaster, Editor

By Chris Ramsdale, Product Manager

Cross-posted from the Google Cloud Platform Blog

At Google I/O, we announced Google Cloud Datastore, a fully managed solution for storing non-relational data. Based on the popular Google App Engine High Replication Datastore (HRD), Cloud Datastore provides a schemaless, non-relational datastore with the same accessibility of Google Cloud Storage and Google Cloud SQL.

Cloud Datastore builds off the strong growth and performance of HRD, which has over 1PB of data stored, 4.5 trillion transactions per month and a 99.95% uptime. It also comes with the following features:

• Built-in query support: near SQL functionality that allows you to search, sort and filter across multiple indexes that are automatically maintained 
• ACID transactions: data consistency (both Strong and Eventual) that spans multiple replicas and requests 
• Automatic scaling: built on top of Google’s BigTable infrastructure, the Cloud Datastore will automatically scale with your data 
• High availability: by utilizing Google’s underlying Megastore service, the Cloud Datastore ensures that data is replicated across multiple datacenters and is highly available 
• Local development environment: the Cloud Datastore SDK provides a full-featured local environment that allows you to develop, iterate and manage your Cloud Datastore instances efficiently 
• Free to get started: 50k read & write operations, 200 indexes, and 1GB of stored data for free per month  

Getting started with Cloud Datastore 

To get started, head over to the Google Cloud Console and create a new project. After supplying a few pieces of information you will have a Cloud Project that has the Cloud Datastore enabled by default. For this post we’ll use the project ID cloud-demo.

With the project created and the Cloud Datastore enabled, we’ll need to download the Cloud Datastore client library. Once installed, it’s time to start writing some code. For the sake of this post, we’ll focus on accessing the Cloud Datastore from a Python application running on a Compute Engine VM (which is also now in Preview). We’ll assume that you’ve already created a new VM instance.'

import googledatastore as datastore

def main()
  writeEntity()
  readEntity()

Next include writeEntity() and readEntity() functions:

def WriteEntity():
  req = datastore.BlindWriteRequest()
  entity = req.mutation.upsert.add()
  path = entity.key.path_element.add()
  path.kind = 'Greeting'
  path.name = 'foo'
  message = entity.property.add()
  message.name = 'message'
  value = message.value.add()
  value.string_value = 'to the cloud and beyond!'
  try:
    datastore.blind_write(req)
  except datastore.RPCError as e:
    # remember to do something useful with the exception pass

def ReadEntity(): 
  req = datastore.LookupRequest()
  key = req.key.add()
  path = key.path_element.add()
  path.kind = 'Greeting0'
  path.name = 'foo0'
  try:
    resp = datastore.lookup(req)
    return resp
  except datastore.RPCError as e:
    # remember to do something useful with the exception pass

First create a new file called “demo.py”. Inside demo.py, we’ll add code to write and then read an entity from the Cloud Datastore.  Finally we can update main() to print out the property values within the fetched entity:

def main()
  writeEntity();
  resp = readEntity();

  entity = resp.found[0].entity
  for p in entity.property:
    print 'Entity property name: %s', p.name
    v = p.value[0]
    print 'Entity property value: %s', v.string_value

Before we can run this code we need to tell the SDK which Cloud Datastore instance we would like to use. This is done by exporting the following environment variable:

~$ export DATASTORE_DATASET cloud-datastore-demo

Finally we’re able to run the application by simply issuing the following:

~$ python demo.py

Besides the output that we see in console window, we’re also able to monitor our interactions within the Cloud Console. By navigating back to Cloud Console, selecting our cloud-datastore-demo project, and then selecting the Cloud Datastore we’re taken to our instance’s dashboard page that includes number of entities, properties, and property types, as well as index management, ad-hoc query support and breakdown of stored data.

And that’s really just the beginning. To fully harness the features and functionality that the Cloud Datastore offers, be sure to check out the larger Getting Started Guide and the Cloud Datastore documentation.

Cloud Datastore is the latest addition to the Cloud Platform storage family, joining Cloud Storage for storing blob data, Cloud SQL for storing relational data, and Persistent Disk for storing block data. All fully managed so that you can focus on creating amazing solutions and leave the rest to us.

And while this is a Preview Release, the team is off to a great start. As we move the service towards General Availability we’re looking forward to improving JSON support, more deeply integrating with the Cloud Console, streamlining our billing and driving every bit of performance that we can out of the API and underlying service.

Happy coding!


Chris Ramsdale has worked extensively in the mobile space, starting as a Software Engineer at Motorola in 1997, and then joining local start ups as a Tech Lead and Product Manager. Chris is currently a Product Manager for Google Cloud Platform focused on developer tools and platform services like Google App Engine and Google Cloud Datastore.

Posted by Scott Knaster, Editor

By Navneet Joneja, Product Manager

Cross-posted from the Google Cloud Platform Blog

Last year we announced Google Compute Engine to enable any business or developer to use Google’s infrastructure for their applications. Now we’re taking the next step: Google Compute Engine is open to everyone in preview, and you can sign up online now.

Over the past year, we’ve launched several features and made significant improvements behind the scenes. We’re now announcing several new capabilities that make it easier and more economical to use Compute Engine for a broader set of applications.

• Sub-Hour Billing: We heard feedback from our early users who wanted more granular billing increments so they could run short-lived workloads. Now all instances are charged for in one-minute increments with a ten-minute minimum, so you don’t pay for compute minutes that you don’t use.
• New shared-core instance types: Compute Engine’s new micro and small instance types are designed as a cost-effective option for running small workloads that don’t need a lot of CPU power, like development and test workloads.
• Larger Persistent Disks: We’re increasing the size of Persistent Disks that can be attached to instances by up to 8,000%. You can now attach up to 10 terabytes of persistent disk to a Compute Engine virtual machine, giving you plenty of persistent storage for a wide variety of applications.
• Advanced Routing Capabilities: Compute Engine now supports software-defined routing capabilities based on our broad SDN innovation. These capabilities are designed to handle your advanced network routing needs like configuring instances to function as gateways, configuring VPN servers and building applications that span your local network and Google’s cloud.
• ISO 27001 Certification: We’ve also completed ISO 27001:2005 certification for Compute Engine, App Engine, and Cloud Storage to demonstrate that these products meet the international standard for managing information security.

To get started, go to the Google Cloud Console, select Compute Engine and click the “New Instance” button.

Fill out the required information and click “Create” on the right hand side. Your new virtual machine will be ready to use in about a minute.

To all of our customers who helped us evolve the product over the past months, thank you; your feedback has helped shape Compute Engine. To those of you who have been eager to try Compute Engine, the wait is over and you can sign up for Compute Engine online today.


Navneet Joneja loves being at the forefront of the next generation of simple and reliable software infrastructure, the foundation on which next-generation technology is being built. When not working, he can usually be found dreaming up new ways to entertain his intensely curious three-year-old.

Posted by Scott Knaster, Editor

By Tim Bray, Google Identity Team

During the Android portion of the Google I/O keynote, we showed Cross-Platform Single Sign-On; the effect was that for Wallet and Google+ users, signing in to a Web browser resulted in automatic download of, and sign-in to, an Android app.

To support this, we have introduced general-purpose API tools which allow developers to achieve cross-client authentication and authorization, in particular between Android and Web apps.

Not having to sign in repeatedly feels so natural for users that they don’t even notice it. But as more and more apps deploy this sort of magic, you don’t want to be the hold-out that’s pestering users for passwords on Web sites or, worse, on tiny mobile-device keyboards.

On the Android side, client libraries like PlusClient, GamesClient, and WalletClient have “connect” methods that take care of this as automatically as possible; they check whether any of the accounts on the phone have already been authorized for access to the service in question, conduct sign-in if necessary but avoid it if possible, and when they return to your code, everything’s all set up.

If you’re writing server-side code and using libraries like Google+ Sign-In, once again, all the right things happen automatically; when you start accessing the service, the software imposes the minimum necessary pain on the user, ideally zero, and lets you get to work.

Of course, some people want less automation, and finer control over how things work. If you want to access our services at the HTTP level rather than via a library, or to deal with multiple accounts on an Android device in a customized way, you can do these things and in most cases still deliver the no-sign-in magic.

Of course, this involves working with HTTP message flows, validating tokens, and securing shared secrets. This may sound intimidating but will be straightforward for one well-versed in HTTP-level Web programming. If you’re one of those, check out the low-level protocols and APIs that support this, in “Cross-Client Identity”.

The time is now to start moving your apps towards a sign-in-free future.


Tim says: By day, I help in the struggle against passwords on the Internet.
The rest of my life is fully documented on my blog.

Posted by Scott Knaster, Editor

By Urs Hölzle, Senior Vice President, Technical Infrastructure, and Google Fellow

Cross-posted from the Google Cloud Platform Blog

LIVE - Watch the stream of the Cloud track kickoff now

Over the last fourteen years we have been developing some of the best infrastructure in the world to power Google’s global-scale services. With Google Cloud Platform, our goal is to open that infrastructure and make it available to any business or developer anywhere. Today, we are introducing improvements to the platform and making Google Compute Engine available for anyone to use.

Google Compute Engine - now available for everyone

Google Compute Engine provides a fast, consistently high-performance environment for running virtual machines. Later today, you’ll be able to go online to cloud.google.com and start using Compute Engine.

In addition, we’re introducing new Compute Engine features:

• Sub-hour billing charges for instances in one-minute increments with a ten-minute minimum, so you don’t pay for compute minutes that you don’t use
• Shared-core instances provide smaller instance shapes for low-intensity workloads
• Advanced Routing features help you create gateways and VPN servers, and enable you to build applications that span your local network and Google’s cloud
• Large persistent disks support up to 10 terabytes per volume, which translates to 10X the industry standard

We’ve also completed ISO 27001:2005 international security certification for Compute Engine, Google App Engine, and Google Cloud Storage.

Google App Engine adds the PHP runtime

App Engine 1.8.0 is now available and includes a Limited Preview of the PHP runtime - your top requested feature. We’re bringing one of the most popular web programming languages to App Engine so that you can run open source apps like WordPress. It also offers deep integration with other parts of Cloud Platform including Google Cloud SQL and Cloud Storage.

We’ve also heard that we need to make building modularized applications on App Engine easier. We are introducing the ability to partition apps into components with separate scaling, deployments, versioning and performance settings.

Introducing Google Cloud Datastore

Google Cloud Datastore is a fully managed and schemaless solution for storing non-relational data. Based on the popular App Engine High Replication Datastore, Cloud Datastore is a standalone service that features automatic scalability and high availability while still providing powerful capabilities such as ACID transactions, SQL-like queries, indexes and more.

Over the last year we have continued our focus on feature enhancement and developer experience across App Engine, Compute Engine, Google BigQuery, Cloud Storage and Cloud SQL. We also introduced Google Cloud Endpoints and Google Cloud Console.

With these improvements, we have seen increased usage with over 3 million applications and over 300,000 unique developers using Cloud Platform in a given month. Our developers inspire us everyday, and we can’t wait to see what you build next.


Urs Hölzle is Senior Vice President of Technical Infrastructure and Google Fellow. As one of Google's first ten employees and its first VP of Engineering, he has shaped much of Google's development processes and infrastructure.

Posted by Scott Knaster, Editor

By Greg Hartrell, Lead Product Manager

We love to talk about games at Google. Especially the old ones, like Pac-man, Pitfall and Frogger. Since those classics, games have changed a lot. They’ve moved from that clunky box in your living room to the screen that you carry with you in your pocket wherever you go. They’re mobile, they’re social, and they’re an important part of Google Play.

Today, we’re launching Google Play game services, a core part of building a gaming platform for the next generation of games. These services help you make your games more social, with achievements, leaderboards, and multiplayer, as well as more powerful, storing game saves and settings in the cloud. They are available on Android, and many on iOS or any other connected device. By building on Google’s strengths in mobile and cloud services, you can focus on what you’re good at as game developers: creating great gaming experiences for your users.

With game services, you can incorporate:

• Achievements that increase engagement and promote different styles of play.
• Social and public leaderboards that seamlessly use Google+ circles to track high scores across friends and across the world.
• Cloud saves that provide a simple and streamlined storage API to store game saves and settings. Now players never have to replay Level 1 again.
• Real-time multiplayer for easy addition of cooperative or competitive game play on Android devices. Using Google+ Circles, a game can have up to 4 simultaneous friends or auto-matched players in a game session together with support for additional players coming soon.

Several great Android games are already using these new game services, including World of Goo, Super Stickman Golf 2, Beach Buggy Blitz, Kingdom Rush, Eternity Warriors 2, and Osmos.

And many more titles launch today as well:

Google Play game services are available today through an SDK for Android, and a native iOS SDK for iPhone and iPad games. Web and other platform developers will also find corresponding REST APIs, with libraries for JavaScript, Java, Python, Go, Dart, PHP, and more.

We’re excited to see what games will do with these new services and experiences, and this is only the beginning. Wait until you get to the boss battle... er.. Check out our developer site to get started: https://developers.google.com/games/.


Greg Hartrell is Lead Product Manager on Google Play game services, devoted to helping developers make incredible games through Google Play. In his spare time, he enjoys jumping from platform to platform, boss battles and matching objects in threes.

Posted by Scott Knaster, Editor

By Michael Manoochehri, Developer Programs Engineer, Google Cloud Platform

Cross-posted with the Google Cloud Platform Blog

After last year's Google I/O conference, the Google Cloud Platform Developer Relations team started to think about how attendees experienced the event. We wanted to help attendees gain more insight about the conference space and the environment itself. Which developer Sandboxes were the busiest? Which were the loudest locations, and which were the best places to take a quick nap? We think about data problems all the time, and this looked like an interesting big data challenge that we could try to solve. So this year, we decided to try to answer our questions with a project that's a bit different, kind of futuristic, and maybe a little crazy.

Since we love open source hardware hacking as much as we love to share open source code, we decided to team up with the O'Reilly Data Sensing Lab to deploy hundreds of Arduino-based environmental sensors at Google I/O 2013. Using software built with the Google Cloud Platform, we'll be collecting and visualizing ambient data about the conference, such as temperature, humidity, air quality, in real time! Altogether, the sensors network will provide over 4,000 continuous data streams over a ZigBee mesh network managed by Device Cloud by Etherios.

In addition, our motes will be able to detect fluctuations in noise level, and some will be attached to footstep counters, to understand collective movement around the conference floor. Of course, since a key goal of Google I/O is to promote innovation in the open, the project's Cloud Platform code, the Arduino hardware designs, and even the data collected, will be open source and available online after the conference.

Google Cloud Platform, which provides the software backend for this project, has a variety of features for building applications that collect and process data from a large number of client devices - without having to spend time managing hardware or infrastructure. Google App Engine Datastore, along with Cloud Endpoints, provides a scalable front end API for collecting data from devices. Google Compute Engine is used to process and analyse data with software tools you may already be familiar with, such as R and Hadoop. Google BigQuery provides fast aggregate analysis of terabyte datasets. Finally, App Engine's web application framework is able to surface interactive visualizations to users.

Networked sensor technology is in the early stages of revolutionizing business logistics, city planning, and consumer products. We are looking forward to sharing the Data Sensing Lab with Google I/O attendees, because we want to show how using open hardware together with the Google Cloud Platform can make this technology accessible to anyone.

With the help of the Google Maps DevRel team, we'll be displaying visualizations of interesting trends on several screens around the conference. Members of the Data Sensing Lab will be on hand in the Google I/O Cloud Sandbox to show off prototypes and talk to attendees about open hardware development. Lead software developer Amy Unruh and Kim Cameron from the Cloud Platform Developer Relations team will talk about how we built the software involved in this project in a talk called "Behind the Data Sensing Lab". In case you aren't able to attend Google I/O 2013, this session will be available online after the conference. Learn more about the Google Cloud Platform on our site, and to dive in to building applications, check out our developer documentation.


Michael Manoochehri is a Developer Programs Engineer supporting the Google Cloud Platform. He is passionate about making cloud computing and data analysis universally accessible and useful.

Posted by Scott Knaster, Editor

By Ted Hamilton, YouTube Analytics

Cross-posted from the YouTube API Blog

Trying to figure out how YouTube’s one billion monthly users are interacting with your videos? Try the new YouTube Analytics API to get custom reports of the YouTube statistics you care about in a direct JSON or CSV response, perfect for dashboards and ad hoc reports.

The new API includes all the standard view and engagement metrics you would expect, including views, shares, and subscriber numbers. Compared to the previous Insight Data API, you also get:

• Watch metrics: Track estimated minutes watched across channel, content owner, or video, and dive into the video details with average view time and average view percentage.
• Earning performance metrics: Track estimated earnings (net revenue) from select advertising sources across your content.
• Ad performance metrics: Break down video performance with monetized playbacks, ad impressions, gross revenue, and cost per impression reports.
• Annotation metrics: Optimize overlays/annotations with click through and close rate metrics.

Client libraries and code samples
You’ll find client libraries for the languages you use most, with nine different languages available today. You can also make HTTP RESTful requests directly, and with our API Explorer, you can try out sample reports before writing any code.

Don’t write your code from scratch! Get started with code examples in Java, JavaScript, Python, and Ruby. If you want a step-by-step walkthrough of building a complete web application, have a look at our JavaScript exercise.

App examples
Check out some apps that are already using the API:

• Next Big Sound provides analytics and insights for the music industry by tracking billions of social signals including YouTube. This enables record labels, artists, and band managers to make better decisions on everything from promotion strategies to tour locations.
• vidIQ is an audience development suite that works with global brands to organically grow their views and subscribers. Their features include cross-platform social analytics, advanced comment management, SEO tools, social syndication and influencer identification.

• Wizdeo’s WizTracker provides in-depth analysis of YouTube channels to help with cross promotion and video comparisons during their initial launch. Users get access to detailed analytics about views, subscriber engagement, traffic sources and demographics.
• Vidyard is a video marketing platform. With powerful analytics, built-in marketing tools, and integration with key marketing automation platforms, Vidyard helps marketers drive results with video content.

Fullscreen is building a global network of YouTube channels with content creators and brands. Fullscreen provides a full suite of end-to-end YouTube tools and uses the new API for internal, business-intelligence tools.

Learn more
In addition to the documentation, check out our Analytics API playlist to make getting started even easier.



If your goal is to export all statistics for a large number of channels on a recurring basis for your data warehouse, look forward to using the upcoming scheduled reports feature of the API, expected to launch later this year.

To get more info on the YouTube APIs, subscribe to our YouTube for Developers channel and YouTubeDev on Google+.


Ted Hamilton is the Product Manager for YouTube Analytics based out of Zurich, Switzerland. Prior to Google, Ted was a consultant at Bain and Company in London. Ted has a Computer Science degree from Northwestern University and holds an MBA from MIT Sloan.

Posted by Scott Knaster, Editor