March 2018 Crawl Archive Now Available

The crawl archive for March 2018 is now available! The archive is located in the commoncrawl bucket at crawl-data/CC-MAIN-2018-13/. It contains 3.2 billion web pages and 250+ TiB of uncompressed content, crawled between March 17th and 25th.

The March crawl contains 800 million new URLs, not contained in any crawl archive before. New URLs are “mined” by

  • extracting and sampling URLs from sitemaps if provided by any of the highest-ranking 100 million hosts taken from the Nov/Dec/Jan 2017/2018 webgraph data set
  • a breadth-first side crawl within a maximum of 3 links (“hops”) away from the home pages of the top 60 million hosts or top 30 million domains of the webgraph dataset
  • a random sample taken from WAT files of the February crawl
  • and the continued and increased donation of URLs from mixnode.com

To assist with exploring and using the dataset, we provide gzipped files which list all segments, WARC, WAT and WET files.
By simply adding either s3://commoncrawl/ or https://commoncrawl.s3.amazonaws.com/ to each line, you end up with the S3 and HTTP paths respectively.

 File List#FilesTotal Size
Compressed (TiB)
SegmentsCC-MAIN-2018-13/segment.paths.gz100
WARC filesCC-MAIN-2018-13/warc.paths.gz8000067.66
WAT filesCC-MAIN-2018-13/wat.paths.gz8000020.38
WET filesCC-MAIN-2018-13/wet.paths.gz800008.8
Robots.txt filesCC-MAIN-2018-13/robotstxt.paths.gz800000.21
Non-200 responses filesCC-MAIN-2018-13/non200responses.paths.gz800001.83
URL index filesCC-MAIN-2018-13/cc-index.paths.gz3020.24

The Common Crawl URL Index for this crawl is available at: http://index.commoncrawl.org/CC-MAIN-2018-13/. Also the columnar index has been updated to contain this crawl.

We are grateful to our friends at mixnode for donating a seed list of 320 Million URLs to enhance the Common Crawl.

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 [email protected] for sponsorship information.

February 2018 Crawl Archive Now Available

The crawl archive for February 2018 is now available! The archive is located in the commoncrawl bucket at crawl-data/CC-MAIN-2018-09/. It contains 3.4 billion web pages and 270+ TiB of uncompressed content, crawled between February 17th and Feb 26th.

The February crawl contains more than one billion new URLs, not contained in any crawl archive before. New URLs are “mined” by

  • extracting and sampling URLs from sitemaps if provided by any of the highest-ranking 100 million hosts taken from the January 2018 webgraph data set
  • a breadth-first side crawl within a maximum of 4 links (“hops”) away from the home pages of the top 50 million hosts or top 25 million domains of the webgraph dataset
  • a random sample taken from WAT files of the January crawl
  • and the continued and increased donation of URLs from mixnode.com

To assist with exploring and using the dataset, we provide gzipped files which list all segments, WARC, WAT and WET files.
By simply adding either s3://commoncrawl/ or https://commoncrawl.s3.amazonaws.com/ to each line, you end up with the S3 and HTTP paths respectively.

 File List#FilesTotal Size
Compressed (TiB)
SegmentsCC-MAIN-2018-09/segment.paths.gz100
WARC filesCC-MAIN-2018-09/warc.paths.gz8000071.96
WAT filesCC-MAIN-2018-09/wat.paths.gz8000022.03
WET filesCC-MAIN-2018-09/wet.paths.gz800009.62
Robots.txt filesCC-MAIN-2018-09/robotstxt.paths.gz800000.22
Non-200 responses filesCC-MAIN-2018-09/non200responses.paths.gz800002.1
URL index filesCC-MAIN-2018-09/cc-index.paths.gz3020.25

The Common Crawl URL Index for this crawl is available at: http://index.commoncrawl.org/CC-MAIN-2018-09/. 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.

We are grateful to our friends at mixnode for donating a seed list of 300 Million URLs to enhance the Common Crawl.

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 [email protected] for sponsorship information.

Index to WARC Files and URLs in Columnar Format

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. So far, we’ve tested two of them: Apache Spark and AWS Athena. The latter makes it possible to run SQL queries on the columnar data even without launching a server. Below you’ll find examples how to query the data with Athena. Examples and instructions for SparkSQL are in preparation. But you are free to use any other tool: the columnar index is free to access or download for anybody. You’ll find all files on:
s3://commoncrawl/cc-index/table/cc-main/warc/

Running SQL Queries with Athena

AWS Athena is a serverless service to analyze data on S3 using SQL. With Presto under the hood you even get a long list of extra functions including lambda expressions. Usage of Athena is not free but it has an attractive price model, you pay only for the scanned data (currently $5.0 per TiB). The index table of a single monthly crawl has about 300 GB. That defines the upper bound, but most queries require only part of the data to be scanned.

Let’s start and register the Common Crawl index as database table in Athena:

1. open the Athena query editor. Make sure you’re in the us-east-1 region where all the Common Crawl data is located. You need an AWS account to access Athena, please follow the AWS Athena user guide how to register and set up Athena.

2. to create a database (here called “ccindex”) enter the command

CREATE DATABASE ccindex


and press “Run query”

3. make sure that the database “ccindex” is selected and proceed with “New Query”

4. create the table by executing the following SQL statement:

CREATE EXTERNAL TABLE IF NOT EXISTS ccindex (
  url_surtkey                   STRING,
  url                           STRING,
  url_host_name                 STRING,
  url_host_tld                  STRING,
  url_host_2nd_last_part        STRING,
  url_host_3rd_last_part        STRING,
  url_host_4th_last_part        STRING,
  url_host_5th_last_part        STRING,
  url_host_registry_suffix      STRING,
  url_host_registered_domain    STRING,
  url_host_private_suffix       STRING,
  url_host_private_domain       STRING,
  url_protocol                  STRING,
  url_port                      INT,
  url_path                      STRING,
  url_query                     STRING,
  fetch_time                    TIMESTAMP,
  fetch_status                  SMALLINT,
  content_digest                STRING,
  content_mime_type             STRING,
  content_mime_detected         STRING,
  warc_filename                 STRING,
  warc_record_offset            INT,
  warc_record_length            INT,
  warc_segment                  STRING)
PARTITIONED BY (
  crawl                         STRING,
  subset                        STRING)
STORED AS parquet
LOCATION 's3://commoncrawl/cc-index/table/cc-main/warc/';


It will create a table “ccindex” with a schema that fits the data on S3. The two “PARTITIONED BY” columns are actually subdirectories, one for every monthly crawl and the WARC subset. Partitions allow us to update the table every month and also help to limit the costs to query the data.

5. to make Athena recognize the data partitions on S3, you have to execute the SQL statement:

MSCK REPAIR TABLE ccindex


Note that this command is also necessary to make newer crawls appear in the table. Every month we’ll add a new partition (a “directory”, e.g., crawl=CC-MAIN-2018-09/). The new partition is not visible and searchable unless it has been discovered by the repair table command. If you run the command you’ll see which partitions have been newly discovered, e.g.:

Repair: Added partition to metastore ccindex:crawl=CC-MAIN-2018-09/subset=crawldiagnostics
Repair: Added partition to metastore ccindex:crawl=CC-MAIN-2018-09/subset=robotstxt
Repair: Added partition to metastore ccindex:crawl=CC-MAIN-2018-09/subset=warc

Now you’re ready to run the first query. We’ll count the number of pages per domain within a single top-level domain. As before press “Run query” after you’ve entered the query into the query editor frame:

SELECT COUNT(*) AS count,
       url_host_registered_domain
FROM "ccindex"."ccindex"
WHERE crawl = 'CC-MAIN-2018-05'
  AND subset = 'warc'
  AND url_host_tld = 'no'
GROUP BY  url_host_registered_domain
HAVING (COUNT(*) >= 100)
ORDER BY  count DESC


The result appears seconds later and only 2.12 MB of data have been scanned! Pretty fine, the query has cost less than one cent. We’ve filtered the data by a partition (a monthly crawl) and selected a small (.no) top-level domain. It’s a good practice to start developing more complex queries with such filters applied to keep the costs for trials low.

But let’s continue with a second example which demonstrates the power of Presto functions – we try to find domains which provide multi-lingual content. On possible way is to look for ISO-639-1 language codes in the URL, e.g., en in https://example.com/about/en/page.html. You can find the full SQL expression on github. For demonstration purposes we restrict the search to a single and small TLD (.va for Vatican State). The magic is done by

UNNEST(regexp_extract_all(url_path, '(?<=/)(?:[a-z][a-z])(?=/)')) AS t (url_path_lang)


which first extracts all two-letter path elements (e.g., /en/) and unrolls the elements into a new column “url_path_lang” (if two or more path elements are found, you get multiple rows). Now we count pages and unique languages and let Presto/Athena also create a histogram of language codes:

You can find more SQL examples and resources on the cc-index-table project page on github. We’ll also working to provide examples to process the table using SparkSQL. First experiments are also promising: you get results within minutes even on a small Spark cluster. That’s not seconds as for Athena but you’re more flexible, esp. regarding the output format – Athena supports only CSV. Please also check the Athena release notes and the current list of limitations to find out which Presto version is used and which functions are supported.

We hope the new data format will help you to get value from the Common Crawl archives, in addition to the existing services.

Host- and Domain-Level Web Graphs Nov/Dec/Jan 2017-2018

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). Additional information about data formats, the processing pipeline, our objectives, and credits can be found in the preceding announcements.

Please note that the first released version (released 2018-02-08, withdrawn 2018-02-21) contained only links from the January 2018 crawl, see the notice on the Common Crawl user group. On 2018-02-28 a fix has been provided with graphs or rankings containing all links, hosts and/or domains over all 3 crawls. We also provide the erroneously released graphs and rankings from the January 2018 crawl.

What’s new?

Here is a summary of notable aspects and changes of this web graph release:

  • a bug has been fixed which caused that relative links pointing to a different host (//www.example.com/index.html) are not added as edges of the host/domain-level webgraphs
  • the domain graph now contains the number of hosts per domain as additional column in the vertices and rankings files
  • the naming scheme has changed – the release name is now part of the file name
  • webgraph offset files are not released any more, they can be created by running

    java it.unimi.dsi.webgraph.BVGraph -O -L cc-main-2017-18-nov-dec-jan-host
    java it.unimi.dsi.webgraph.BVGraph -O -L cc-main-2017-18-nov-dec-jan-domain

Host-level graph

The graph consists of 2.75 billion nodes and 8.6 billion edges. The graph includes dangling nodes i.e. hosts that have not been crawled yet are pointed to from a link on a crawled page. There are 2.67 billion dangling nodes (97%) and the largest strongly connected component contains only 65 million (2.3%) nodes. The host names are reversed and a leading www. is stripped: www.subdomain.example.com becomes com.example.subdomain.

You can download the graph and the ranks of all 2.75 billion hosts from AWS S3 on the path s3://commoncrawl/projects/hyperlinkgraph/cc-main-2017-18-nov-dec-jan/host/. Alternatively, you can use https://commoncrawl.s3.amazonaws.com/projects/hyperlinkgraph/cc-main-2017-18-nov-dec-jan/host/ as prefix to access the files from everywhere.

The following files and formats are provided:

Download files of the Common Crawl Nov/Dec/Jan 2017-18 host-level webgraph

SizeFileDescription
15.9 GBcc-main-2017-18-nov-dec-jan-host-vertices.paths.gznodes ⟨id, rev host⟩, paths of 28 vertices files
40.0 GBcc-main-2017-18-nov-dec-jan-host-edges.paths.gzedges ⟨from_id, to_id⟩, paths of 28 edges files
16.4 GBcc-main-2017-18-nov-dec-jan-host.graphgraph in BVGraph format
2 kBcc-main-2017-18-nov-dec-jan-host.properties
24.2 GBcc-main-2017-18-nov-dec-jan-host-t.graphtranspose of the graph (outlinks inverted to inlinks)
2 kBcc-main-2017-18-nov-dec-jan-host-t.properties
1 kBcc-main-2017-18-nov-dec-jan-host.statsWebGraph statistics

Domain-level graph

The domain graph was built by aggregating the host graph on the level of pay-level domains (PLDs). The extraction of PLDs is based on the public suffix list from publicsuffix.org. Only “ICANN” domains are accepted; “private” domains are not accepted (cf. section “divisions” in the documentation on publicsuffix.org). For example, foo.blogspot.com and commoncrawl.s3.amazonaws.com are not accepted as pay-level domains, they are aggregated, respectively, as the domains blogspot.com, amazonaws.com and stored in the reversed form com.blogspot.

The domain-level graph has 94 million nodes and 1.44 billion edges. 59% or 56 million nodes are dangling nodes, the largest strongly connected component covers 33 million or 35% of the nodes.

All files related to the domain graph are available on AWS S3 under s3://commoncrawl/projects/hyperlinkgraph/cc-main-2017-18-nov-dec-jan/domain/ resp. https://commoncrawl.s3.amazonaws.com/projects/hyperlinkgraph/cc-main-2017-18-nov-dec-jan/domain/.

Download files of the Common Crawl Nov/Dec/Jan 2017-18 domain-level webgraph

SizeFileDescription
0.67 GBcc-main-2017-18-nov-dec-jan-domain-vertices.txt.gznodes ⟨id, rev domain, num hosts⟩
5.7 GBcc-main-2017-18-nov-dec-jan-domain-edges.txt.gzedges ⟨from_id, to_id⟩
3.1 GBcc-main-2017-18-nov-dec-jan-domain.graphgraph in BVGraph format
2 kBcc-main-2017-18-nov-dec-jan-domain.properties
3.3 GBcc-main-2017-18-nov-dec-jan-domain-t.graphtranspose of the graph
2 kBcc-main-2017-18-nov-dec-jan-domain-t.properties
1 kBcc-main-2017-18-nov-dec-jan-domain.statsWebGraph statistics
2.0 GBcc-main-2017-18-nov-dec-jan-domain-ranks.txt.gzharmonic centrality and pagerank

Below you’ll find the top 1000 domains ranked by Harmonic Centrality or PageRank. The full list of all 94 million domains is available for download.

Top 1000 domains ranked by harmonic centrality (Nov/Dec/Jan 2017-2018)

harmonic
centrality
rank
hc valuepage rankpage rank
value
reversed hostname
12607321020.013220com.facebook
22550183210.016444com.googleapis
32371825630.009278com.google
42337153440.008406com.twitter
52283219250.007823com.youtube
62165337660.006112org.w
72032463670.004710org.gmpg
82004592880.003501com.instagram
919837996100.002871com.linkedin
1019439618120.002753org.wordpress
1119334234140.002070com.wordpress
1219214522170.001665com.pinterest
1319145770270.001242org.wikipedia
1419121822230.001462com.gravatar
1518842296330.000966com.blogspot
1618810990110.002837com.bootstrapcdn
1718718320190.001594com.apple
1818626224260.001255com.vimeo
1918434062150.001863com.adobe
2018419880440.000691be.youtu
2118397832340.000964com.amazon
2218350614130.002084com.macromedia
2318323552290.001015com.microsoft
2418321908410.000757gl.goo
2518302296310.001009com.flickr
2618270630460.000657com.tumblr
2718183288590.000540com.yahoo
2818136014200.001531net.doubleclick
2918074436700.000464ly.bit
3018072284320.000988com.amazonaws
3118039506180.001618com.googletagmanager
3217994916350.000913com.paypal
3317957448780.000417eu.europa
3417950818250.001280com.cloudflare
3517880136870.000397com.weebly
3617863816300.001012com.github
3717859140810.000412org.mozilla
3817838500400.000769net.cloudfront
3917830430950.000348co.t
4017794416800.000414org.creativecommons
41177732261020.000289com.googleusercontent
4217757566570.000562org.w3
4317751372390.000782io.github
4417703562970.000340com.soundcloud
45176746261180.000226com.blogger
46176734861380.000182net.slideshare
47176663841080.000265com.reddit
4817650506510.000617com.bing
49176226781470.000171com.myspace
5017614686650.000474com.medium
51176003021170.000233org.archive
52175976521360.000187com.imgur
5317581558660.000474com.list-manage
5417545184370.000804org.apache
55174990741550.000154com.imdb
56174933162400.000097com.about
5717491778280.001104com.gstatic
58174715561690.000144com.wsj
59174641361260.000218com.jimdo
60174622402340.000101com.livejournal
6117450286470.000649com.wp
62174478361290.000206com.issuu
63174452441300.000204com.android
64174435181220.000222com.yelp
6517419300430.000721com.statcounter
6617406774500.000626me.wp
67173928921790.000138com.oracle
68173725701620.000148com.digg
69173686322310.000102me.about
70173673182990.000078com.scribd
71173619462550.000091org.python
72173596881270.000210uk.co.google
7317357006610.000525com.cnn
74173420141240.000220com.nytimes
75173399683190.000073com.quora
76173296202490.000092com.ted
77173214501530.000161com.spotify
78173019981480.000168com.wixsite
79173005002330.000101com.dailymotion
80172979082080.000118com.staticflickr
81172889543900.000062org.chromium
82172764041060.000273com.ytimg
83172698902590.000089com.webs
84172653061450.000177org.ietf
85172553422220.000109com.mozilla
86172436661870.000133net.behance
87172430481910.000130com.disqus
88172424762730.000085com.mysql
89172400421580.000152com.stumbleupon
90172364102680.000085com.foursquare
91172312723140.000075gov.loc
92172130101510.000164org.gnu
93172101181460.000171com.tripadvisor
94172033743610.000066org.nodejs
95172018823780.000064com.storify
96171787901560.000153com.forbes
9717177956600.000527com.huffingtonpost
98171684641330.000196com.dropbox
99171640121990.000125com.typepad
100171565222410.000097com.example
101171501881660.000146uk.co.bbc
102171485284790.000051edu.virginia
10317142618890.000384com.paypalobjects
10417140226480.000645net.fbcdn
105171305684030.000060com.pixabay
106171263163830.000063ca.blogspot
107171184922000.000124org.wikimedia
108171163582970.000079com.githubusercontent
109171156763630.000066com.sun
11017111592360.000863com.squarespace
111171065722920.000079com.goodreads
11217105500560.000574com.fb
113171037684590.000053kr.flic
114170942264310.000057org.ampproject
115170863965300.000048edu.gatech
116170863561800.000137com.theguardian
11717085768960.000344com.wix
118170830325180.000049it.scoop
119170813824270.000057org.sciencemag
120170721061390.000182net.sourceforge
121170622585150.000049com.nike
122170567084000.000060org.eclipse
123170547704320.000056co.g
124170524382690.000085com.tinyurl
12517052256620.000509net.akamaihd
126170479044370.000055org.kernel
12717045616680.000467com.mashable
128170454604890.000051au.com.blogspot
12917042294640.000480org.schema
130170410626200.000043com.discogs
131170382341410.000181com.youtube-nocookie
132170372623700.000065com.npmjs
133170346182980.000079com.symantec
134170235881960.000126com.live
135170186123280.000072com.googlecode
136170166203960.000061com.git-scm
137170121303940.000061com.500px
138170113101980.000126edu.stanford
139170107824160.000058com.unity3d
140170105326860.000042com.wikidot
141169924943340.000071com.alexa
142169836104470.000054com.sap
143169781462500.000092com.businessinsider
144169767262720.000085com.cnet
145169763663720.000064com.getpocket
146169716982520.000092com.go
147169644562320.000101com.washingtonpost
148169570345670.000046com.chrome
1491695597690.003080com.godaddy
150169541521400.000182com.sharethis
151169535422110.000115com.ebay
152169495565060.000050edu.berkeley
153169488123770.000064au.gov.nsw
154169425942890.000080com.msn
155169383343330.000072com.time
156169377522130.000114com.nbcnews
15716934364750.000429edu.utexas
158169300385320.000048com.jetbrains
159169277123170.000074edu.harvard
160169247705450.000047ms.1drv
161169178501890.000130com.etsy
162169148381760.000140gov.nih
163169117526640.000043com.klout
164169050583270.000072edu.mit
165169039283160.000074com.reuters
166168989462350.000098com.mapquest
167168988763180.000074com.wired
168168933645700.000046com.crunchbase
169168932704010.000060gov.nasa
170168901307220.000040com.4shared
171168857702810.000082io.codepen
172168828822950.000079com.photobucket
173168759322570.000090com.udacity
174168656923090.000076com.aol
175168581684080.000059com.cnbc
176168538162930.000079com.tripod
177168486765170.000049org.aarp
178168477205630.000046edu.utah
179168469283420.000070org.npr
180168441287460.000039com.diigo
181168420743030.000077com.meetup
182168409241200.000223com.mailchimp
183168400963670.000065com.gmail
18416835606240.001310ru.yandex
185168346124250.000057com.appspot
186168335562870.000080com.ibm
187168270303380.000071gov.ca
188168262022420.000095com.surveymonkey
189168255322760.000083com.usatoday
190168249887780.000038com.googledrive
191168228467490.000039com.naturalnews
192168199907640.000038io.soup
193168158803400.000070uk.co.telegraph
194168142361630.000148com.eventbrite
195168138842060.000119com.opera
196168133066760.000043com.zappos
19716811868880.000394com.jquery
198168117966920.000042com.wholefoodsmarket
199168095085350.000048com.createspace
200168090723220.000073com.images-amazon
201168075923040.000077com.bloomberg
202167965021930.000128com.twimg
203167933644140.000058com.kickstarter
204167927301030.000285com.addthis
205167918442510.000092com.techcrunch
206167910748040.000037edu.washington
207167908526890.000042com.abebooks
208167906942940.000079com.googlesyndication
209167902465110.000049edu.cornell
210167852605290.000048com.buzzfeed
211167831304120.000059org.un
212167811322630.000087com.stackoverflow
213167809581490.000166com.feedburner
214167792506080.000044com.theverge
215167751307960.000037com.pearltrees
21616774700670.000473com.vk
217167745863750.000064com.latimes
218167655796990.000042com.sublimetext
219167606964980.000050org.rubyonrails
220167559111700.000142com.zendesk
221167548008800.000035com.fotolog
22216754091690.000466me.fb
223167513005770.000045com.audible
224167506155490.000047org.pbs
225167493145360.000048com.deviantart
226167477654100.000059com.wiley
227167466603070.000077org.acm
228167453268620.000036tl.page
229167445722120.000114com.ssl-images-amazon
230167438908240.000037com.instapaper
231167426627410.000039com.kinja
232167420081100.000253com.shopify
233167408117670.000038com.newyorker
234167403695030.000050com.yellowpages
235167361722030.000122org.drupal
236167349787580.000039com.xda-developers
237167323119210.000035com.adsoftheworld
238167318952210.000110org.mediawiki
239167311372790.000083fr.free
240167300808050.000037co.ello
241167295154440.000054com.theatlantic
242167252514090.000059uk.co.dailymail
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8861615193239840.000007to.gplus
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9321613193618090.000016com.ibtimes
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9411613041636330.000008com.starwars
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9441612970818610.000016ca.huffingtonpost
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961161244578360.000036com.list-manage2
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9631612393311670.000032com.tandfonline
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9651612360316600.000019com.bmj
9661612324034200.000008org.lifehack
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969161223689800.000034org.tpr
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9711612160819410.000015com.getresponse
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9731612099822370.000013edu.colorado
9741611856016380.000019com.ecwid
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9771611813516370.000019com.deezer
9781611798913940.000024jp.ne.goo
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9801611775621300.000014edu.bu
981161177092140.000114com.homestead
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9861611470215260.000021com.warnerbros
9871611434847770.000006ca.ucalgary
9881611385720140.000014hk.com.google
989161137861780.000139com.parallels
9901611346718410.000016com.getfirebug
9911611321915300.000021com.waze
9921611314133720.000008ru.org
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9951611255516840.000018com.thehill
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9981611193719080.000015jp.or.nhk
9991611175758510.000005com.rapidshare
10001611164730400.000009com.expedia

Graphs of January 2018 Crawl

Erroneously we released webgraphs and rankings of a single monthly crawl (January 2018) instead of a quarterly release covering 3 crawls. To ensure reproducibility we’ve preserved the erronuous release.

The host-level graph consists of 775 million nodes and 2.7 billion edges. The graph includes dangling nodes i.e. hosts that have not been crawled yet are pointed to from a link on a crawled page. There are 719 million dangling nodes (93%).

Download files of the Common Crawl Jan 2018 host-level webgraph

SizeFileDescription
4.84 GBcc-main-2018-jan-host-vertices.txt.gznodes ⟨id, rev host⟩
10.21 GBcc-main-2018-jan-host-edges.txt.gzedges ⟨from_id, to_id⟩
4.90 GBcc-main-2018-jan-host.graphgraph in BVGraph format
2 kBcc-main-2018-jan-host.properties
5.94 GBcc-main-2018-jan-host-t.graphtranspose of the graph (outlinks mapped to inlinks)
2 kBcc-main-2018-jan-host-t.properties
1 kBcc-main-2018-jan-host.statsWebGraph statistics
10.79 GBcc-main-2018-jan-host-ranks.txt.gzharmonic centrality and pagerank

The domain-level graph with 70 million nodes and 835 million edges has 60% or 42 million nodes are dangling nodes, the largest strongly connected component covers 22 million or 31% of the nodes.

Download files of the Common Crawl Jan 2018 domain-level webgraph

SizeFileDescription
0.49 GBcc-main-2018-jan-domain-vertices.txt.gznodes ⟨id, rev domain, num hosts⟩
3.30 GBcc-main-2018-jan-domain-edges.txt.gzedges ⟨from_id, to_id⟩
1.80 GBcc-main-2018-jan-domain.graphgraph in BVGraph format
2 kBcc-main-2018-jan-domain.properties
1.89 GBcc-main-2018-jan-domain-t.graphtranspose of the graph
2 kBcc-main-2018-jan-domain-t.properties
1 kBcc-main-2018-jan-domain.statsWebGraph statistics
1.46 GBcc-main-2018-jan-domain-ranks.txt.gzharmonic centrality and pagerank

Credits

Thanks to the authors of the WebGraph framework, whose software made the computation of graph properties and ranks possible.

We hope the data will be useful for you to do any kind of research on ranking, graph analysis, link spam detection, etc. Let us know about your results via Common Crawl’s Google Group!

January 2018 Crawl Archive Now Available

The crawl archive for January 2018 is now available! The archive is located in the commoncrawl bucket at crawl-data/CC-MAIN-2018-05/. It contains 3.4 billion web pages and 270 TiB of uncompressed content, crawled between January 16th and Jan 24th.

The January crawl contains 1.1 billion new URLs, not contained in any crawl archive before. New URLs are “mined” by

  • extracting and sampling URLs from sitemaps if provided by any of the highest-ranking 100 million hosts taken from the Aug/Sept/Oct 2017 webgraph data set
  • a breadth-first side crawl within a maximum of 4 links (“hops”) away from the home pages of the top 50 million hosts or top 25 million domains of the webgraph dataset
  • a random sample taken from WAT files of the December crawl
  • and the continued and increased donation of URLs from mixnode.com

We were able to further shrink the overlap between successive crawls: the last two monthly archives (December and January) taken together contain content from 6 billion URLs, the last three archives (Nov/Dec/Jan) cover 8 billion unique URLs.

To assist with exploring and using the dataset, we provide gzipped files which list all segments, WARC, WAT and WET files.
By simply adding either s3://commoncrawl/ or https://commoncrawl.s3.amazonaws.com/ to each line, you end up with the S3 and HTTP paths respectively.

 File List#FilesTotal Size
Compressed (TiB)
SegmentsCC-MAIN-2018-05/segment.paths.gz100
WARC filesCC-MAIN-2018-05/warc.paths.gz8000074.33
WAT filesCC-MAIN-2018-05/wat.paths.gz8000021.36
WET filesCC-MAIN-2018-05/wet.paths.gz800009.29
Robots.txt filesCC-MAIN-2018-05/robotstxt.paths.gz800000.18
Non-200 responses filesCC-MAIN-2018-05/non200responses.paths.gz800003.02
URL index filesCC-MAIN-2018-05/cc-index.paths.gz3020.27

The Common Crawl URL Index for this crawl is available at: http://index.commoncrawl.org/CC-MAIN-2018-05/. 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.

We are grateful to our friends at mixnode for donating a seed list of 400 Million URLs to enhance the Common Crawl.

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 [email protected] for sponsorship information.

December 2017 Crawl Archive Now Available

The crawl archive for December 2017 is now available! The archive is located in the commoncrawl bucket at crawl-data/CC-MAIN-2017-51/. It contains 2.9 billion web pages and over 240 TiB of uncompressed content.

To improve coverage and freshness we added 650 million new URLs (not contained in any crawl archive before)

  • sampled from sitemaps if provided by any of the top 80 million hosts taken from the Aug/Sept/Oct 2017 webgraph data set
  • found by a side crawl within a maximum of 4 links (“hops”) away from the home pages of the top 25 million hosts and domains
  • a random sample take from WAT files of the November crawl
  • and the continued donation of URLs from mixnode.com

To assist with exploring and using the dataset, we provide gzipped files which list all segments, WARC, WAT and WET files.
By simply adding either s3://commoncrawl/ or https://commoncrawl.s3.amazonaws.com/ to each line, you end up with the S3 and HTTP paths respectively.

 File List#FilesTotal Size
Compressed (TiB)
SegmentsCC-MAIN-2017-51/segment.paths.gz100
WARC filesCC-MAIN-2017-51/warc.paths.gz8000061.2
WAT filesCC-MAIN-2017-51/wat.paths.gz8000019.38
WET filesCC-MAIN-2017-51/wet.paths.gz800008.41
Robots.txt filesCC-MAIN-2017-51/robotstxt.paths.gz800000.13
Non-200 responses filesCC-MAIN-2017-51/non200responses.paths.gz800001.47
URL index filesCC-MAIN-2017-51/cc-index.paths.gz3020.21

The Common Crawl URL Index for this crawl is available at: http://index.commoncrawl.org/CC-MAIN-2017-51/. 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.

We are grateful to our friends at mixnode for donating a seed list of 300+ Million URLs to enhance the Common Crawl.

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 [email protected] for sponsorship information.

November 2017 Crawl Archive Now Available

The crawl archive for November 2017 is now available! The archive is located in the commoncrawl bucket at crawl-data/CC-MAIN-2017-47/. It contains 3.2 billion web pages and 260 TiB of uncompressed content.

To improve coverage and freshness we added 750 million new URLs (not contained in any crawl archive before)

  • sampled from sitemaps if provided by any of the top 80 million hosts taken from the Aug/Sept/Oct 2017 webgraph data set
  • found by a side crawl within a maximum of 4 links (“hops”) away from the home pages of the top 10 million hosts and domains
  • a random sample take from WAT files of the October crawl
  • and the continued donation of URLs from mixnode.com

For the first time, during the November crawl, we took measures to actively fight link spam. In the past our policy was to direct the crawl to relevant content, a strategy which avoids spam but does not exclude it. Spam is a valid object of research, and thus spammy content is included in our crawl archives. Spam should not bear on other use cases (mining data for natural language processing) as long as it represents a very low percentage of all documents. However, during this crawl, we faced significant technical challenges caused by link spam:

Penalizing spam domains is the easiest way for us to avoid further issues and also to ensure that these spam clusters do not start to dominate future crawls.

To assist with exploring and using the dataset, we provide gzipped files which list all segments, WARC, WAT and WET files.
By simply adding either s3://commoncrawl/ or https://commoncrawl.s3.amazonaws.com/ to each line, you end up with the S3 and HTTP paths respectively.

 File List#FilesTotal Size
Compressed (TiB)
SegmentsCC-MAIN-2017-47/segment.paths.gz100
WARC filesCC-MAIN-2017-47/warc.paths.gz8000066.17
WAT filesCC-MAIN-2017-47/wat.paths.gz8000020.71
WET filesCC-MAIN-2017-47/wet.paths.gz800009.06
Robots.txt filesCC-MAIN-2017-47/robotstxt.paths.gz800000.16
Non-200 responses filesCC-MAIN-2017-47/non200responses.paths.gz800002.33
URL index filesCC-MAIN-2017-47/cc-index.paths.gz3020.24

The Common Crawl URL Index for this crawl is available at: http://index.commoncrawl.org/CC-MAIN-2017-47/. 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.

We are grateful to our friends at mixnode for donating a seed list of 300+ Million URLs to enhance the Common Crawl.

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 [email protected] for sponsorship information.

Host- and Domain-Level Web Graphs Aug/Sept/Oct 2017

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. Additional information about data formats, the processing pipeline, our objectives, and credits can be found in a prior announcement.

What’s new?

Here is a summary of notable aspects of this web graph release:

  • Tools and scripts to produce the web graph and rank the graph vertices are released as part of the project “cc-webgraph” on GitHub.
  • As compared to prior web graphs, two changes are caused by the large size of this host-level graph (5.1 billion hosts):
    • the text dump of the graph is split into multiple files;
    • there is no page rank calculation at this time. At present, we provide ranking by harmonic centrality, and hope to add page rank values in the upcoming weeks.
    • Update Feb 7, 2018: the host-level ranks file now also contains the page ranks. Thanks to Sebastiano Vigna, one of the authors of the WebGraph framework, for the kind support!
  • For the domain-level graph, we provide ranking by both harmonic centrality and page rank.
  • The host-level graph contains a significant portion of hosts related to link spam clusters (possibly 50% or more of the hosts). This data set, therefore, is a useful tool for the study of link spam; from it, we have identified 300,000 spam domains. 2.25 billion hosts in the host-level webgraph belong to these domains. However, in the October crawl archive, these domains comprise less than 2% of the crawled HTML pages (56 million pages out of 3.6 billion) and less than 0.3% of the crawled domains (70,000 out of 26 million). We will start to penalize pages from these domains going forward.

Host-level graph

The graph consists of 5.1 billion nodes and 18.8 billion edges. The graph includes dangling nodes i.e. hosts that have not been crawled yet are pointed to from a link on a crawled page. The host names are reversed and a leading www. is stripped: www.subdomain.example.com becomes com.example.subdomain.

You can download the graph and the ranks of all 5.1 billion hosts from AWS S3 on the path s3://commoncrawl/projects/hyperlinkgraph/cc-main-2017-aug-sep-oct/hostgraph/. Alternatively, you can use https://commoncrawl.s3.amazonaws.com/projects/hyperlinkgraph/cc-main-2017-aug-sep-oct/hostgraph/ as prefix to access the files from everywhere.

The following files and formats are provided:

SizeFileDescription
27.9 GBvertices.paths.gznodes ⟨id, rev host⟩, paths of 48 vertices files
95.2 GBedges.paths.gzedges ⟨from_id, to_id⟩, paths of 72 edge files
37.9 GBbvgraph.graphgraph in BVGraph format
2.0 GBbvgraph.offsets
2 kBbvgraph.properties
56.9 GBbvgraph-t.graphtranspose of the graph (outlinks mapped to inlinks)
6.7 GBbvgraph-t.offsets
2 kBbvgraph-t.properties
1 kBbvgraph.statsWebGraph statistics
74 GBranks.txt.gzhosts ranked by harmonic centrality and pagerank

To download the graph in text format, you need to download all files listed in the two path listings.

Domain-level graph

The domain graph was built by aggregating the host graph on the level of pay-level domains (PLDs). The extraction of PLDs is based on the public suffix list from publicsuffix.org. Only “ICANN” domains are accepted; “private” domains are not accepted (cf. section “divisions” in the documentation on publicsuffix.org). For example, foo.blogspot.com and commoncrawl.s3.amazonaws.com are not accepted as pay-level domains, they are aggregated, respectively, as the domains blogspot.com, amazonaws.com.

The domain-level graph has 93 million nodes and 1,258 million edges. 60% or 56 million nodes are dangling nodes, the largest strongly connected component covers 31 million or 33% of the nodes.

All files related to the domain graph are available on AWS S3 under s3://commoncrawl/projects/hyperlinkgraph/cc-main-2017-aug-sep-oct/domaingraph/ resp. https://commoncrawl.s3.amazonaws.com/projects/hyperlinkgraph/cc-main-2017-aug-sep-oct/domaingraph/.

Download files of the Common Crawl Aug/Sept/Oct 2017 domain-level webgraph

SizeFileDescription
0.65 GBvertices.txt.gznodes ⟨id, rev host⟩
5.0 GBedges.txt.gzedges ⟨from_id, to_id⟩
2.7 GBbvgraph.graphgraph in BVGraph format
0.09 GBbvgraph.offsets
2 kBbvgraph.properties
3.0 GBbvgraph-t.graphtranspose of the graph (outlinks mapped to inlinks)
0.14 GBbvgraph-t.offsets
2 kBbvgraph-t.properties
1 kBbvgraph.statsWebGraph statistics
1.9 GBranks.txt.gzharmonic centrality and pagerank

Below you’ll find the top 1000 domains ranked by Harmonic Centrality or PageRank. The full list of all 93 million domains is available for download.

Top 1000 domains ranked by harmonic centrality (Aug/Sept/Oct 2017)

harmonic
centrality
rank
hc valuepage rankpage rank
value
reversed domain name
12462439410.016162com.facebook
22248914230.009682com.google
32223066640.009431com.twitter
42192025020.011812com.googleapis
52144646250.008148com.youtube
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Credits

Thanks to the authors of the WebGraph framework, whose software made the computation of graph properties and ranks possible.

We hope the data will be useful for you to do any kind of research on ranking, graph analysis, link spam detection, etc. Let us know about your results via Common Crawl’s Google Group!

October 2017 Crawl Archive Now Available

The crawl archive for October 2017 is now available! The archive is located in the commoncrawl bucket at crawl-data/CC-MAIN-2017-43/. It contains 3.65 billion web pages and over 300 TiB of uncompressed content.

To improve coverage and freshness we added over 900 million new URLs (not contained in any crawl archive before):

  • 350 million URLs are a random sample extracted from sitemaps if provided by any of the top 80 million hosts taken from the May/June/July 2017 webgraph data set
  • 250 million URLs were found by a side crawl within a maximum of 3 links (“hops”) away from the home pages of the top 80 million hosts
  • 150 million URLs are randomly chosen from WAT files of the September crawl
  • 180 million URLs are links donated by mixnode.com

To assist with exploring and using the dataset, we provide gzipped files which list all segments, WARC, WAT and WET files.
By simply adding either s3://commoncrawl/ or https://commoncrawl.s3.amazonaws.com/ to each line, you end up with the S3 and HTTP paths respectively.

 File List#FilesTotal Size
Compressed (TiB)
SegmentsCC-MAIN-2017-43/segment.paths.gz100
WARC filesCC-MAIN-2017-43/warc.paths.gz8910084.9
WAT filesCC-MAIN-2017-43/wat.paths.gz8910024.33
WET filesCC-MAIN-2017-43/wet.paths.gz8910010.58
Robots.txt filesCC-MAIN-2017-43/robotstxt.paths.gz891000.17
Non-200 responses filesCC-MAIN-2017-43/non200responses.paths.gz891002.62
URL index filesCC-MAIN-2017-43/cc-index.paths.gz3020.28

The Common Crawl URL Index for this crawl is available at: http://index.commoncrawl.org/CC-MAIN-2017-43/. 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.

We are grateful to our friends at mixnode for donating a seed list of 200+ Million URLs to enhance the Common Crawl.

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 [email protected] for sponsorship information.

September 2017 Crawl Archive Now Available

September 2017 Crawl Archive Now Available

The crawl archive for September 2017 is now available! The archive is located in the commoncrawl bucket at crawl-data/CC-MAIN-2017-39/. It contains 3.01 billion web pages and over 250 TiB of uncompressed content.

To improve coverage and freshness we added one billion new URLs (not contained in any crawl archive before):

  • 300 million URLs are a random sample extracted from sitemaps if provided by any of the top 60 million hosts taken from the May/June/July 2017 webgraph data set
  • 500 million URLs were found by a side crawl within a maximum of 3 links (“hops”) away from the home pages of the top 60 million hosts and from a list of university domains collected by a Common Crawl user
  • 200 million URLs are randomly chosen from WAT files of the August crawl

To assist with exploring and using the dataset, we provide gzipped files which list all segments, WARC, WAT and WET files.
By simply adding either s3://commoncrawl/ or https://commoncrawl.s3.amazonaws.com/ to each line, you end up with the S3 and HTTP paths respectively.

 File List#FilesTotal Size
Compressed (TiB)
SegmentsCC-MAIN-2017-39/segment.paths.gz100
WARC filesCC-MAIN-2017-39/warc.paths.gz7200059.13
WAT filesCC-MAIN-2017-39/wat.paths.gz7200020.1
WET filesCC-MAIN-2017-39/wet.paths.gz720008.86
Robots.txt filesCC-MAIN-2017-39/robotstxt.paths.gz720000.16
Non-200 responses filesCC-MAIN-2017-39/non200responses.paths.gz720002.07
URL index filesCC-MAIN-2017-39/cc-index.paths.gz3020.23

The Common Crawl URL Index for this crawl is available at: http://index.commoncrawl.org/CC-MAIN-2017-39/. 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 [email protected] for sponsorship information.