In November 2019 we announced the Search Console Training YouTube series and started publishing videos regularly. The goal of the series was to create updated video content to be used alongside Search documentation, for example in the Help Center and in the Developers site.
The wonderful Google Developer Studio team (the engine behind those videos!) put together this fun blooper reel for the first wave of videos that we recorded in the Google London studio.
So far we’ve published twelve episodes in the series, each focusing on a different part of the tool. We’ve seen it’s helping lots of people to learn how to use Search Console - so we decided to continue recording videos… at home! Please bear with the trucks, ambulances, neighbors, passing clouds, and of course the doorbell. ¯\_(ツ)_/¯
In addition to the location change, we’re also changing the scope of the new videos. Instead of focusing on one report at a time, we’ll discuss how Search Console can help YOUR business. In each episode we’ll focus on types of website, like ecommerce, and job roles, like developers.
To hear about new videos as soon as they're published, subscribe to our YouTube channel, and feel free to leave feedback on Twitter.
Stay tuned!
Daniel Waisberg, Search Advocate
Quick summary: Starting today, we support shippingDetails schema.org markup as an alternative way for retailers to be eligible for shipping details in Google Search results.
Since June 2020, retailers have been able to list their products across different Google surfaces for free, including on Google Search. We are committed to supporting ways for the ecosystem to better connect with users that come to Google to look for the best products, brands, and retailers by investing both in more robust tooling in Google Merchant Center as well as with new kinds of schema.org options.
Shipping details, including cost and expected delivery times, are often a key consideration for users making purchase decisions. In our own studies, we’ve heard that users abandon shopping checkouts because of unforeseen or uncertain shipping costs. This is why we will often show shipping cost information in certain result types, including on free listings on Google Search (currently in the US, in English only).
Retailers have always been able to configure shipping settings in Google Merchant Center in order to display this information in listings. Starting today, we now also support the shippingDetails schema.org markup type for retailers who don't have active Merchant Center accounts with product feeds.
For retailers that are interested in this new markup, check out our documentation to get started.
Last year we released the robots.txt parser and matcher that we use in our production systems to the open source world. Since then, we've seen people build new tools with it, contribute to the open source library (effectively improving our production systems- thanks!), and release new language versions like golang and rust, which make it easier for developers to build new tools.
With the intern season ending here at Google, we wanted to highlight two new releases related to robots.txt that were made possible by two interns working on the Search Open Sourcing team, Andreea Dutulescu and Ian Dolzhanskii.
First, we are releasing a testing framework for robots.txt parser developers, created by Andreea. The project provides a testing tool that can validate whether a robots.txt parser follows the Robots Exclusion Protocol, or to what extent. Currently there is no official and thorough way to assess the correctness of a parser, so Andreea built a tool that can be used to create robots.txt parsers that are following the protocol.
Second, we are releasing an official Java port of the C++ robots.txt parser, created by Ian. Java is the 3rd most popular programming language on GitHub and it's extensively used at Google as well, so no wonder it's been the most requested language port. The parser is a 1-to-1 translation of the C++ parser in terms of functions and behavior, and it's been thoroughly tested for parity against a large corpora of robots.txt rules. Teams are already planning to use the Java robots.txt parser in Google production systems, and we hope that you'll find it useful, too.
As usual, we welcome your contributions to these projects. If you built something with the C++ robots.txt parser or with these new releases, let us know so we can potentially help you spread the word! If you found a bug, help us fix it by opening an issue on GitHub or directly contributing with a pull request. If you have questions or comments about these projects, catch us on Twitter!
It was our genuine pleasure to host Andreea and Ian, and we're sad that their internship is ending. Their contributions help make the Internet a better place and we hope that we can welcome them back to Google in the future.
Last year we released the robots.txt parser and matcher that we use in our production systems to the open source world. Since then, we've seen people build new tools with it, contribute to the open source library (effectively improving our production systems- thanks!), and release new language versions like golang and rust, which make it easier for developers to build new tools.
With the intern season ending here at Google, we wanted to highlight two new releases related to robots.txt that were made possible by two interns working on the Search Open Sourcing team, Andreea Dutulescu and Ian Dolzhanskii.
First, we are releasing a testing framework for robots.txt parser developers, created by Andreea. The project provides a testing tool that can validate whether a robots.txt parser follows the Robots Exclusion Protocol, or to what extent. Currently there is no official and thorough way to assess the correctness of a parser, so Andreea built a tool that can be used to create robots.txt parsers that are following the protocol.
Second, we are releasing an official Java port of the C++ robots.txt parser, created by Ian. Java is the 3rd most popular programming language on GitHub and it's extensively used at Google as well, so no wonder it's been the most requested language port. The parser is a 1-to-1 translation of the C++ parser in terms of functions and behavior, and it's been thoroughly tested for parity against a large corpora of robots.txt rules. Teams are already planning to use the Java robots.txt parser in Google production systems, and we hope that you'll find it useful, too.
As usual, we welcome your contributions to these projects. If you built something with the C++ robots.txt parser or with these new releases, let us know so we can potentially help you spread the word! If you found a bug, help us fix it by opening an issue on GitHub or directly contributing with a pull request. If you have questions or comments about these projects, catch us on Twitter!
It was our genuine pleasure to host Andreea and Ian, and we're sad that their internship is ending. Their contributions help make the Internet a better place and we hope that we can welcome them back to Google in the future.
