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).
We’ve made some changes to the data formats and the directory structure. Please see the details below and please share your thoughts and questions on the Common Crawl Google Group.
Format Changes
We have switched from ARC files to WARC files to better match what the industry has standardized on. WARC files allow us to include HTTP request information in the crawl data, add metadata about requests, and cross-reference the text extracts with the specific response that they were generated from. There are also many good open source tools for working with WARC files.
We have switched the metadata files from JSON to WAT files. The JSON format did not allow specifying the multiple offsets to files necessary for the WARC upgrade and WAT files provide more detail.
We have switched our text file format from Hadoop sequence files to WET files (WARC Encapsulated Text) that properly reference the original requests. This makes it far easier for your processes to disambiguate which text extracts belong to which specific page fetches.
Directory Structure
New crawl data is located in the commoncrawl bucket at /crawl-data/ path.
Under this base path, crawl data is organized hierarchically as follows:
The 2013 wide web crawl data is located at /crawl-data/CC-MAIN-2013-20/ which represents the main CC crawl initiated during the 20th week of 2013.
Resources
More information about WARC can be found at http://bibnum.bnf.fr/WARC/WARC_ISO_28500_version1_latestdraft.pdf
Internet Archive publishes tools to process WARC and WAT files at https://github.com/internetarchive/ia-hadoop-tools and https://github.com/internetarchive/ia-web-commons
WET files can be treated as WARC files as they are simply conversion records as detailed in the WARC specification above.
More information about WAT files can be found at https://webarchive.jira.com/wiki/display/Iresearch/Web+Archive+Metadata+File+Specification.
Python WARC tools http://code.hanzoarchives.com/warc-tools
Erlang WARC sdk http://www.webarchivingbucket.com/#wsdk
A tool for exploring WARC files https://wiki.umiacs.umd.edu/adapt/index.php/WarcManager
A handy collection of links to tools for working with WARC files http://www.netpreserve.org/web-archiving/tools-and-software