The crawl archive for October 2016 is now available! The archive is located in the commoncrawl bucket at crawl-data/CC-MAIN-2016-44/. It contains more than 3.25 billion web pages.
Similar to the September crawl, we used sitemaps to improve the crawl seed list, including sitemaps named in the robots.txt file of the top-million domains from Alexa, and sitemaps from the top 150,000 hosts in Common Search's host-level page ranks. The maximum number of URL's extracted per domain was 200,000. The resulting crawl included 2 billion new URLs, not contained in previous crawls. We are grateful to webxtrakt for donating a list of 14 million verified, DNS-resolvable domain names of European country-code TLDs (eu, .fr, .be, .de, .ch, .nl, .pl). We included these domains into the October crawl and we hope for a ongoing partnership with webxtract to improve the coverage of the crawls.
To assist with exploring and using the dataset, we provide gzipped files that list:
- all segments (CC-MAIN-2016-44/segment.paths.gz)
- all WARC files (CC-MAIN-2016-44/warc.paths.gz)
- all WAT files (CC-MAIN-2016-44/wat.paths.gz)
- all WET files (CC-MAIN-2016-44/wet.paths.gz)
- robots.txt files (CC-MAIN-2016-44/robotstxt.paths.gz)
- non-200 HTTP status code responses (CC-MAIN-2016-44/non200responses.paths.gz)
By simply adding either s3://commoncrawl/ or https://data.commoncrawl.org/ to each line, you end up with the S3 and HTTP paths respectively.
The Common Crawl URL Index for this crawl is available at: https://index.commoncrawl.org/CC-MAIN-2016-44/.
For more information on working with the URL index, please refer to the previous blog post or the Index Server API. There is also a command-line tool client for common use cases of the URL index.
Please donate to Common Crawl if you appreciate our free datasets! We’re also seeking corporate sponsors to partner with Common Crawl for our non-profit work in open data. Please contact info@commoncrawl.org for sponsorship information and packages.
Erratum:
WAT data: repeated WARC and HTTP headers are not preserved
Repeated HTTP and WARC headers were not represented in the JSON data in WAT files. When a header was repeated adding a further value of that header, only the last value was stored and other values were lost. This issues was fixed with CC-MAIN-2024-51, see ia-web-commons#18. All WAT files from CC-MAIN-2013-20 until CC-MAIN-2024-46 are affected.
Erratum:
Erroneous title field in WAT records
The "Title" extracted in WAT records to the JSON path `Envelope > Payload-Metadata > HTTP-Response-Metadata > HTML-Metadata > Head > Title` is not the content included in the <title> element in the HTML header (<head> element) if the page contains further <title> elements in the page body. The content of the last <title> element is written to the WAT "Title". This bug was observed if the HTML page includes embedded SVG graphics.
The issue was reported by the user Robert Waksmunski:
- https://groups.google.com/g/common-crawl/c/ZrPFdY3pPA4/m/s5D_8wCJAAAJ
- WAT extractor: Document title bug ia-web-commons#36
...and was fixed for CC-MAIN-2024-42 by commoncrawl/ia-web-commons#37.
This erratum affects all crawls from CC-MAIN-2013-20 until CC-MAIN-2024-38.
Erratum:
Incorrect fetch_time metadata
In crawls CC-MAIN-2016-36 to CC-MAIN-2016-50, and CC-MAIN-2018-34 to CC-MAIN-2019-47 the fetch_time metadata for robots.txt might be incorrect. The correct times can be found in collinfo.json. See the related issue (commoncrawl/nutch#14) for more information.
Erratum:
Charset Detection Bug in WET Records
The charset detection required to properly transform non-UTF-8 HTML pages in WARC files into WET records didn't work before November 2016 due to a bug in IIPC Web Archive Commons (see the related issue in the CC fork of Apache Nutch). There should be significantly fewer errors in all subsequent crawls. Originally discussed here in Google Groups.
Erratum:
Missing Language Classification
Starting with crawl CC-MAIN-2018-39 we added a language classification field (‘content-languages’) to the columnar indexes, WAT files, and WARC metadata for all subsequent crawls. The CLD2 classifier was used, and includes up to three languages per document. We use the ISO-639-3 (three-character) language codes.
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