The crawl archive for July 2019 is now available! It contains 2.6 billion web pages or 220 TiB of uncompressed content, crawled between July 15th and 24th.

The crawl archive for May 2019 is now available! It contains 2.65 billion web pages or 220 TiB of uncompressed content, crawled between May 19th and 27th.

The crawl archive for June 2019 is now available! It contains 2.6 billion web pages or 220 TiB of uncompressed content, crawled between June 16th and 27th with an operational break from 21st to 24th.

We are pleased to announce a new release of host-level and domain-level web graphs based on the published crawls of February, March and April 2019. Additional information about the data formats, the processing pipeline, our objectives, and credits can be found in the announcements of prior webgraph releases.

The crawl archive for April 2019 is now available! It contains 2.5 billion web pages or 198 TiB of uncompressed content, crawled between April 18th and 26th.

The crawl archive for February 2019 is now available! It contains 2.9 billion web pages or 225 TiB of uncompressed content, crawled between February 15th and 24th.

The crawl archive for March 2019 is now available! It contains 2.55 billion web pages or 210 TiB of uncompressed content, crawled between March 18th and 27th.

We are pleased to announce a new release of host-level and domain-level web graphs based on the published crawls of November, December 2018 and January 2019. Additional information about the data formats, the processing pipeline, our objectives, and credits can be found in the announcements of prior webgraph releases.

The crawl archive for October 2018 is now available! It contains 3.0 billion web pages and 240 TiB of uncompressed content, crawled between October 15th and 24th.

The crawl archive for January 2019 is now available! It contains 2.85 billion web pages or 240 TiB of uncompressed content, crawled between January 15th and 24th.

The crawl archive for November 2018 is now available! It contains 2.6 billion web pages or 220 TiB of uncompressed content, crawled between November 12th and 22nd.

The crawl archive for December 2018 is now available! It contains 3.1 billion web pages or 250 TiB of uncompressed content, crawled between December 9th and 19th.

We are pleased to announce a new release of host-level and domain-level web graphs based on the published crawls of August, September and October 2018. Additional information about data formats, the processing pipeline, our objectives, and credits can be found in the announcements of prior webgraph releases.

The crawl archive for June 2018 is now available! The archive contains 3.05 billion web pages and 235 TiB of uncompressed content, crawled between June 18th and 25th.

The crawl archive for September 2018 is now available! It contains 2.8 billion web pages and 220 TiB of uncompressed content, crawled between September 17th and 26th.

The crawl archive for August 2018 is now available! It contains 2.65 billion web pages and 220 TiB of uncompressed content, crawled between August 14th and 22th. Together with an upgrade of the crawler software we've plugged in a language detector and now provide as annotation the language a web page is written in.

The crawl archive for July 2018 is now available! The archive contains 3.25 billion web pages and 255 TiB of uncompressed content, crawled between July 15th and 23th.

We are pleased to announce a new release of host-level and domain-level web graphs based on the published crawls of May, June and July 2018. Additional information about data formats, the processing pipeline, our objectives, and credits can be found in the announcements of prior webgraph releases.

The crawl archive for May 2018 is now available! The archive contains 2.75 billion web pages and 215 TiB of uncompressed content, crawled between May 20th and 28th.

We are pleased to announce a new release of host-level and domain-level web graphs based on the published crawls of February, March and April 2018. Additional information about data formats, the processing pipeline, our objectives, and credits can be found in the announcements of prior webgraph releases.

The crawl archive for April 2018 is now available! The archive contains 3.1 billion web pages and 230 TiB of uncompressed content, crawled between April 19th and 27th.

We're happy to announce the release of an index to WARC files and URLs in a columnar format. The columnar format (we use Apache Parquet) allows to efficiently query or process the index and saves time and computing resources. Especially, if only few columns are accessed, recent big data tools will run impressively fast.

The crawl archive for February 2018 is now available! The archive contains 3.4 billion web pages and 270+ TiB of uncompressed content, crawled between February 17th and Feb 26th.

The crawl archive for March 2018 is now available! The archive contains 3.2 billion web pages and 250+ TiB of uncompressed content, crawled between March 17th and 25th.

We are pleased to announce a new release of host-level and domain-level web graphs based on the published crawls of November, December 2017 and January 2018. These graphs, along with ranked lists of hosts and domains, follow the prior web graph releases (Feb/Mar/Apr 2017, May/Jun/Jul 2017 and Aug/Sep/Oct 2017).

The crawl archive for January 2018 is now available! The archive contains 3.4 billion web pages and 270 TiB of uncompressed content, crawled between January 16th and Jan 24th.

The crawl archive for December 2017 is now available! The archive contains 2.9 billion web pages and over 240 TiB of uncompressed content.

The crawl archive for November 2017 is now available! The archive contains 3.2 billion web pages and 260 TiB of uncompressed content.

We are pleased to announce a new release of host-level and domain-level web graphs based on the published crawls of August, September, and October 2017. These graphs, along with ranked lists of hosts and domains, follow the first (February, March, April 2017) and second (May, June, July 2017) web graph releases.

The crawl archive for October 2017 is now available! The archive contains 3.65 billion web pages and over 300 TiB of uncompressed content.

The crawl archive for September 2017 is now available! The archive contains 3.01 billion web pages and over 250 TiB of uncompressed content.

The crawl archive for August 2017 is now available! The archive contains 3.28 billion+ web pages and over 280 TiB of uncompressed content.

The crawl archive for June 2017 is now available! The archive contains 3.16 billion+ web pages and over 260 TiB of uncompressed content.

We are pleased to announce the release of host-level and domain-level web graphs based on the published crawls of May, June, and July 2017. These graphs, along with ranked lists of hosts and domains, follow on our first host-level web graph (February, March, April 2017).

The crawl archive for July 2017 is now available! The archive contains 2.89 billion+ web pages and over 240 TiB of uncompressed content.

The crawl archive for May 2017 is now available! The archive contains 2.96 billion+ web pages and over 250 TiB of uncompressed content.

We are pleased to announce the release of a host-level web graph of recent monthly crawls (February, March, April 2017). The graph consists of 385 million nodes and 2.5 billion edges.

The crawl archive for April 2017 is now available! The archive contains 2.94 billion+ web pages and over 250 TiB of uncompressed content.

The crawl archive for March 2017 is now available! The archive contains 3.07 billion+ web pages and over 250 TiB of uncompressed content.

The crawl archive for February 2017 is now available! The archive contains 3.08 billion+ web pages and over 250 TiB of uncompressed content.

As an interim crawl engineer for CommonCrawl, I am pleased to announce that the crawl archive for February 2016 is now available! This crawl archive holds more than 1.73 billion urls.

The crawl archive for January 2017 is now available! The archive contains more than 3.14 billion web pages and about 250 TiB of uncompressed content.

The crawl archive for December 2016 is now available! The archive contains more than 2.85 billion web pages.

The crawl archive for October 2016 is now available! The archive contains more than 3.25 billion web pages.

The crawl archive for September 2016 is now available! The archive contains more than 1.72 billion web pages.

We are pleased to announce the release of a new dataset containing news articles from news sites all over the world.

The crawl archive for May 2015 is now available! This crawl archive is over 159TB in size and holds more than 2.05 billion webpages.

Together with the crawl archive for August 2016 we release two data sets containing robots.txt files and server responses with HTTP status code other than 200 (404s, redirects, etc.) The data may be useful to anyone interested in web science, with various applications in the field.

The crawl archive for August 2016 is now available! The archive contains more than 1.61 billion web pages.

The crawl archive for July 2016 is now available! The archive contains more than 1.73 billion web pages.

The crawl archive for June 2016 is now available! The archive contains more than 1.23 billion web pages.

The crawl archive for May 2016 is now available! More than 1.46 billion web pages are in the archive.

The crawl archive for April 2016 is now available! More than 1.33 billion webpages are in the archive.

It is a pleasure to officially announce that Sebastian Nagel joined Common Crawl as Crawl Engineer in April. Sebastian brings to Common Crawl a unique blend of experience, skills, knowledge (and enthusiasm!) to complement his role and the organization.

The crawl archive for August 2015 is now available! This crawl archive is over 149TB in size and holds more than 1.84 billion webpages.

As an interim crawl engineer for CommonCrawl, I am pleased to announce that the crawl archive for November 2015 is now available! This crawl archive is over 151TB in size and holds more than 1.82 billion urls.

Hadoop is the Glue for Big Data - via StreetWise Journal: Startups trying to build a successful big data infrastructure should "welcome...and be protective" of open source software like Hadoop. The future and innovation of Big Data depends on it.

This is a guest blog post by Katerina Andreadou, a research assistant at CERTH, specializing in multimedia analysis and web crawling. In the context of using Web image content for analysis and retrieval, it is typically necessary to perform large-scale image crawling. In our web image crawler setup, we noticed that a serious bottleneck pertains to the fetching of image content, since for each web page a large number of HTTP requests need to be issued to download all included image elements.

As an interim crawl engineer for CommonCrawl, I am pleased to announce that the crawl archive for September 2015 is now available! This crawl archive is over 106TB in size and holds more than 1.32 billion urls.

The crawl archive for June 2015 is now available! This crawl archive is over 145TB in size and holds more than 1.81 billion webpages.

The crawl archive for June 2015 is now available! This crawl archive is over 131TB in size and holds more than 1.67 billion webpages.

2015: What do you think about Machines that think? - via Edge: A.I isn't so artificial “With these kind of software challenges, and given the very real technology-driven threats to our species already at hand, why worry about malevolent A.I.? For decades to come, at least, we are clearly more threatened by like trans-species plagues, extreme resource depletion, global warming, and nuclear warfare…”

The crawl archive for April 2015 is now available! This crawl archive is over 168TB in size and holds more than 2.11 billion webpages.

The crawl archive for March 2015 is now available! This crawl archive is over 124TB in size and holds more than 1.64 billion webpages.

This is a guest post by Ilya Kreymer, a dedicated volunteer who has gifted large amounts of time, effort and talent to Common Crawl. He previously worked at the Internet Archive and led the Wayback Machine development, which included building large indexes of WARC files.

This is a guest blog post by Frank McSherry, a computer science researcher active in the area of large scale data analysis. While at Microsoft Research he co-invented differential privacy, and lead the Naiad streaming dataflow project. His current interests involve understanding and improving performance in scalable data processing systems.

The crawl archive for February 2015 is now available! This crawl archive is over 145TB in size and over 1.9 billion webpages.

Startup Orbital Insight uses deep learning and finds financially useful information in aerial imagery - via MIT Technology Review: “To predict retail sales based on retailers’ parking lots, humans at Orbital Insights use Google Street View images to pinpoint the exact location of the stores’ entrances. Satellite imagery is acquired from a number of commercial suppliers, some of it refreshed daily. Software then monitors the density of cars and the frequency with which they enter the lots.”

Analyzing the Web For the Price of a Sandwich - via Yelp Engineering Blog: a Common Crawl use case from the December 2014 Dataset finds 748 million US phone numbers “I wanted to explore the Common Crawl in more depth, so I came up with a (somewhat contrived) use case of helping consumers find the web pages for local businesses…”

Jürgen Schmidhuber- Ask Me Anything - via Reddit:  Jürgen has pioneered self-improving general problem solvers and Deep Learning Neural Networks for decades. He is the recipient of the 2013 Helmholtz Award of the International Neural Networks Society.

This is a guest blog post by Da Zheng, the architect and main developer of the FlashGraph project. He is a PhD student of computer science at Johns Hopkins University, focusing on developing frameworks for large-scale data analysis, particularly for massive graph analysis and data mining.

The crawl archive for January 2015 is now available! This crawl archive is over 139TB in size and contains 1.82 billion webpages.

This is a guest blog post by Oskar Singer, a Software Developer and Computer Science student at University of Massachusetts Amherst. He recently did some very interesting text analytics work during his internship at Lexalytics. The post below describes the work, how Common Crawl data was used, and includes a link to code.

What does it mean for the Open Web if users don't know they're on the internet? Via QUARTZ: “This is more than a matter of semantics. The expectations and behaviors of the next billion people to come online will have profound effects on how the internet evolves. If the majority of the world’s online population spends time on Facebook, then policymakers, businesses, startups, developers, nonprofits, publishers, and anyone else interested in communicating with them will also, if they are to be effective, go to Facebook. That means they, too, must then play by the rules of one company. And that has implications for us all.”

A thriving ecosystem is the key for real viability of any technology. With lots of eyes on the prize, the technology becomes more stable, offers more capabilities, and importantly, supports greater interoperability across technologies, making it easier to adopt and use, in a shorter amount of time. By creating a formal organization, the Open Data Platform will act as a forcing function to accelerate the maturation of an ecosystem around Big Data.

This is a guest blog post by Ross Fairbanks, a software developer based in Barcelona. He mainly develops in Ruby and is interested in open data and cloud computing. This guest post describes his open data project and why he built it.

The Dark Side of Open Data - via Forbes: “There’s no reason to doubt that opening to the public of data previously unreleased by governments, if well managed, can be a boon for the economy and, ultimately, for the citizens themselves. It wouldn’t hurt, however, to strip out the grandiose rhetoric that sometimes surrounds them, and look, case by case, at the contexts and motivations that lead to their disclosure.”

One of the biggest boons for the Open Data movement in recent years has been the enthusiastic support from all levels of government for releasing more, and higher quality, datasets to the public. In May 2013, the White House released its Open Data Policy and announced the launch of Project Open Data, a repository of tools and information--which anyone is free to contribute to--that help government agencies release data that is “available, discoverable, and usable.”

The crawl archive for December 2014 is now available! This crawl archive is over 160TB in size and contains 2.08 billion webpages.

Big data has the potential to change the world. The talent exists and the tools are already there. What’s lacking is access to data. Imagine the questions we could answer and the problems we could solve if talented, creative technologists could freely access more big data.

The crawl archive for November 2014 is now available! This crawl archive is over 135TB in size and contains 1.95 billion webpages.

The crawl archive for October 2014 is now available! This crawl archive is over 254TB in size and contains 3.72 billion webpages.

The second crawl of 2013 is now available! In late November, we published the data from the first crawl of 2013. The new dataset was collected at the end of 2013, contains approximately 2.3 billion webpages and is 148TB in size.

This is a guest blog post by Robert Meusel, a researcher at the University of Mannheim in the Data and Web Science Research Group and a key member of the Web Data Commons project. The post below describes a new tool produced by Web Data Commons for extracting data from the Common Crawl data.

The crawl archive for September 2014 is now available! This crawl archive is over 220TB in size and contains 2.98 billion webpages.

The August crawl of 2014 is now available! The new dataset is over 200TB in size containing approximately 2.8 billion webpages.

The July crawl of 2014 is now available! The new dataset is over 266TB in size containing approximately 3.6 billion webpages.

The March crawl of 2014 is now available! The new dataset contains approximately 2.8 billion webpages and is about 223TB in size.

The April crawl of 2014 is now available! The new dataset is over 183TB in size containing approximately 2.6 billion webpages.

Wait, what's WAT, WET and WARC? Recently CommonCrawl has switched to the Web ARChive (WARC) format. The WARC format allows for more efficient storage and processing of CommonCrawl's free multi-billion page web archives, which can be hundreds of terabytes in size.

We are very please to announce that new crawl data is now available! The data was collected in 2013, contains approximately 2 billion web pages and is 102TB in size (uncompressed).

Last year we transitioned from our custom crawler to the Apache Nutch crawler to run our 2013 crawls as part of our migration from our old data center to the cloud. Our old crawler was highly tuned to our data center environment where every machine was identical with large amounts of memory, hard drives and fast networking.

The talented team at Web Data Commons recently extracted and analyzed the hyperlink graph within the Common Crawl 2012 corpus. Altogether, they found 128 billion hyperlinks connecting 3.5 billion pages.

A couple months ago we announced the creation of the Common Crawl URL Index and followed it up with a guest post by Jason Ronallo describing how he had used the URL Index. Today we are happy to announce a tool that makes it even easier for you to take advantage of the URL Index!

Sebastian Spiegler is the head of the data team and SwiftKey and a volunteer at Common Crawl. Yesterday we posted Sebastian’s statistical analysis of the 2012 Common Crawl corpus. Today we are following it up with a great video featuring Sebastian talking about why crawl data is valuable, his research, and why open data is important.

We are extremely happy to announce that Professor Jim Hendler has joined the Common Crawl Advisory Board.  Professor Hendler is the Head of the Computer Science Department at Rensselaer Polytechnic Institute (RPI) and also serves as the Professor of Computer and Cognitive Science at RPI’s Tetherless World Constellation.

This year's Strata Conference teams up with Hadoop World for what promises to be a powerhouse convening in NYC from October 23-25. Check out their full announcement below and secure your spot today.

Want to know more detail about what data is in the 2012 Common Crawl corpus without running a job? Now you can thanks to Sebastian Spiegler!

Last week we announced the Common Crawl URL Index. The index has already proven useful to many people and we would like to share an interesting use of the index that was very well described in a great blog post by Jason Ronallo.

We are very excited to announce the Norvig Web Data Science Award! Common Crawl and SARA created the award to encourage research in web data science.