May 2018 Crawl Archive Now Available

The crawl archive for May 2018 is now available! The archive is located in the commoncrawl bucket at crawl-data/CC-MAIN-2018-22/. It contains 2.75 billion web pages and 215 TiB of uncompressed content, crawled between May 20th and 28th.

The April crawl contains 550 million new URLs, not contained in any crawl archive before. New URLs are “mined” by

  • extracting and sampling URLs from sitemaps, RSS and Atom feeds if provided by hosts visited in prior crawls. Hosts are selected from the highest-ranking 60 million domains of the Feb/Mar/Apr 2018 webgraph data set
  • a breadth-first side crawl within a maximum of 4 links (“hops”) away from the home pages of the top 40 million hosts or top 40 million domains of the webgraph dataset
  • a random sample taken from WAT files of the April 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-2018-22/segment.paths.gz100
WARC filesCC-MAIN-2018-22/warc.paths.gz6400051.61
WAT filesCC-MAIN-2018-22/wat.paths.gz6400017.61
WET filesCC-MAIN-2018-22/wet.paths.gz640007.59
Robots.txt filesCC-MAIN-2018-22/robotstxt.paths.gz640000.19
Non-200 responses filesCC-MAIN-2018-22/non200responses.paths.gz640001.65
URL index filesCC-MAIN-2018-22/cc-index.paths.gz3020.21

The Common Crawl URL Index for this crawl is available at: https://index.commoncrawl.org/CC-MAIN-2018-22/. Also the columnar index has been updated to contain this 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 Feb/Mar/Apr 2018

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 (e.g., Nov/Dec/Jan 2017-2018 Webgraphs).

What’s new?

The graphs now contain links from sitemap announcements in robots.txt files. This small addition of 2.5 million inter-host links is motivated by the fact that sitemaps directives are sometimes (see example 1, 2, 3) used for link spam or aggressive SEO, often in combination with excessive use of inter-host hyperlinks on HTML pages. We hope that this addition helps to improve the detection rate of link spam detection algorithms.

Host-level graph

The graph consists of 2.14 billion nodes and 10.15 billion edges and includes dangling nodes i.e. hosts that have not been crawled yet are pointed to from a link on a crawled page. There are 2.02 billion dangling nodes (94%) and the largest strongly connected component contains only 77 million (3.6%) 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 billion hosts from AWS S3 on the path s3://commoncrawl/projects/hyperlinkgraph/cc-main-2018-feb-mar-apr/host/. Alternatively, you can use https://commoncrawl.s3.amazonaws.com/projects/hyperlinkgraph/cc-main-2018-feb-mar-apr/host/ as prefix to access the files from everywhere.

The following files and formats are provided:

Download files of the Common Crawl Feb/Mar/Apr 2018 host-level webgraph

SizeFileDescription
12.45 GBcc-main-2018-feb-mar-apr-host-vertices.paths.gznodes ⟨id, rev host⟩, paths of 80 vertices files
50.22 GBcc-main-2018-feb-mar-apr-host-edges.paths.gzedges ⟨from_id, to_id⟩, paths of 160 edges files
20.68 GBcc-main-2018-feb-mar-apr-host.graphgraph in BVGraph format
2 kBcc-main-2018-feb-mar-apr-host.properties
24.82 GBcc-main-2018-feb-mar-apr-host-t.graphtranspose of the graph (outlinks inverted to inlinks)
2 kBcc-main-2018-feb-mar-apr-host-t.properties
1 kBcc-main-2018-feb-mar-apr-host.statsWebGraph statistics
28.84 GBcc-main-2018-feb-mar-apr-host-ranks.txt.gzharmonic centrality and pagerank

Domain-level graph

The domain graph was built by aggregating the host graph on the level of pay-level domains (PLDs) based on the public suffix list maintained on publicsuffix.org.

The domain-level graph has 98 million nodes and 1.5 billion edges. 57% or 56 million nodes are dangling nodes, the largest strongly connected component covers 37 million or 38% of the nodes.

All files related to the domain graph are available on AWS S3 under s3://commoncrawl/projects/hyperlinkgraph/cc-main-2018-feb-mar-apr/domain/ resp. https://commoncrawl.s3.amazonaws.com/projects/hyperlinkgraph/cc-main-2018-feb-mar-apr/domain/.

Download files of the Common Crawl Feb/Mar/Apr 2018 domain-level webgraph

SizeFileDescription
0.68 GBcc-main-2018-feb-mar-apr-domain-vertices.txt.gznodes ⟨id, rev domain, num hosts⟩
6.04 GBcc-main-2018-feb-mar-apr-domain-edges.txt.gzedges ⟨from_id, to_id⟩
3.32 GBcc-main-2018-feb-mar-apr-domain.graphgraph in BVGraph format
2 kBcc-main-2018-feb-mar-apr-domain.properties
3.53 GBcc-main-2018-feb-mar-apr-domain-t.graphtranspose of the graph
2 kBcc-main-2018-feb-mar-apr-domain-t.properties
1 kBcc-main-2018-feb-mar-apr-domain.statsWebGraph statistics
2.06 GBcc-main-2018-feb-mar-apr-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 98 million domains is available for download.

Top 1000 domains ranked by harmonic centrality (Feb/Mar/Apr 2018)

harmonic
centrality
rank
hc valuepage rankpage rank
value
reversed hostname
12716049010.016926com.googleapis
22691740020.013683com.facebook
32502320830.009981com.google
42424149240.008519com.twitter
52392399050.007249com.youtube
62305594460.006339org.w
72120813270.004853org.gmpg
82112645280.003674com.instagram
920871022100.003315com.linkedin
1020308692140.002286com.wordpress
1120254236120.002787org.wordpress
1220083558230.001537com.gravatar
1320073594260.001290org.wikipedia
1419978538180.001671com.pinterest
1519658798110.002973com.bootstrapcdn
1619570742200.001624com.apple
1719538492310.000948com.blogspot
1819437996250.001294com.vimeo
1919203616350.000867gl.goo
2019193288370.000853com.amazon
2119158752170.001701com.adobe
2219158570290.001124com.microsoft
2319126248450.000704com.tumblr
2419082854150.001792com.macromedia
2519011582360.000856com.wp
2619005558410.000794ly.bit
2718975638540.000499com.yahoo
2818971200160.001786com.googletagmanager
2918852580440.000711be.youtu
3018806694330.000921com.amazonaws
3118791732320.000922com.paypal
3218760344190.001634com.cloudflare
3318706230420.000775com.flickr
3418680604610.000433org.mozilla
3518680160300.001017com.github
3618678006960.000297com.googleusercontent
3718625646690.000409com.weebly
3818604632490.000594org.w3
3918547840660.000424org.creativecommons
4018536644830.000354com.soundcloud
4118495276240.001407net.doubleclick
42184658441490.000207com.blogger
43184016201470.000212com.imgur
4418400744400.000809me.wp
4518397664280.001163com.gstatic
4618392744550.000498com.list-manage
47183914161740.000162com.myspace
4818390430670.000417com.medium
49183732701540.000194net.slideshare
5018360766870.000337io.github
51183488881770.000161com.wsj
5218332910510.000589co.t
53182562782280.000115com.reuters
5418245054390.000818org.apache
5518231016380.000837com.statcounter
56182209402360.000110uk.co.telegraph
5718214734680.000415eu.europa
58182073822320.000111org.npr
59182000742920.000087com.appspot
6018195584530.000550com.jquery
61181857381660.000178com.android
62181842722660.000096com.cnbc
63181836661460.000213com.issuu
6418181476780.000387com.cnn
65181701362610.000099com.about
66181617441330.000240com.nytimes
67181608521370.000231com.yelp
68181527922530.000102me.about
69181328881700.000172com.spotify
70181113361900.000146uk.co.bbc
71181047481510.000201com.wixsite
72180993941710.000168com.tripadvisor
73180989821780.000160org.gnu
74180862402040.000134org.wikimedia
75180859183560.000072edu.washington
7618084938430.000730net.cloudfront
77180808722010.000135com.oracle
78180754842820.000088org.python
79180658584270.000063org.chromium
80180632681650.000182org.ietf
8118058042720.000391com.huffingtonpost
82180507304030.000067edu.ucla
83180364824490.000059edu.princeton
84180287203680.000070com.slate
85180231161200.000254com.reddit
86180179442410.000107com.mozilla
87180139523050.000085com.mysql
8818004788630.000428com.ytimg
8917983326600.000457com.bing
90179795521390.000220com.dropbox
91179706584140.000065com.pixabay
92179692402130.000122com.nbcnews
93179480721640.000182com.forbes
94179477223320.000077gov.loc
95179435223800.000069com.googlecode
96179388521670.000176org.archive
97179365043110.000083com.foursquare
98179351221600.000186net.sourceforge
99179229562710.000093com.go
100179149925110.000053edu.gatech
101179147281890.000148com.theguardian
10217911318570.000476org.schema
103179087002070.000129es.google
104179044662680.000094com.example
105178939342340.000110com.hubspot
10617893100340.000899com.squarespace
10717882030710.000392com.paypalobjects
10817876036910.000322com.mashable
109178717923900.000068com.steampowered
110178713383290.000079gov.fda
11117866752810.000369com.wix
11217863474560.000486net.fbcdn
113178619883840.000069com.tinypic
114178605284310.000062com.variety
115178594743820.000069org.nodejs
116178563782030.000135edu.stanford
117178485522210.000119com.dribbble
1181784499690.003327com.godaddy
119178356382100.000126com.tinyurl
12017833096620.000433com.fb
121178275182520.000102com.businessinsider
122178201425850.000048edu.utah
123178168305580.000050edu.illinois
124178149982110.000125com.imdb
125178079362730.000093com.live
126177988282290.000112com.washingtonpost
127177956962860.000088au.com.google
128177948846650.000046com.chrome
129177940143100.000083edu.mit
130177931622150.000121com.typepad
131177928282460.000104com.techcrunch
132177926123910.000068com.sun
133177881464590.000059org.sciencemag
134177862884630.000058org.eclipse
135177855684360.000061com.withgoogle
136177634881040.000272com.addthis
137177626481440.000217com.jimdo
13817751854890.000332net.akamaihd
139177507665050.000053com.nike
140177466982810.000088com.bloomberg
141177465224540.000059org.ampproject
142177445963060.000084edu.harvard
143177426186770.000045com.hbo
144177404483080.000083com.cnet
145177399284660.000058co.g
146177334105100.000053com.chron
147177327065440.000051com.jetbrains
148177310545310.000052edu.tamu
149177262361720.000167com.etsy
150177241624790.000055com.sap
151177234225910.000047com.wikidot
152177230744450.000060com.libsyn
15317708952270.001246ru.yandex
154177008023070.000084com.wired
155176993086780.000045uk.org.tate
156176961863230.000080com.aol
157176954801560.000192com.twimg
158176921402780.000090com.usatoday
159176917563810.000069uk.co.dailymail
160176897805370.000051com.cc
161176893002740.000092io.codepen
162176886143600.000071com.cdbaby
163176883605920.000047org.virtualbox
164176869665140.000053edu.berkeley
165176843665990.000047com.googleblog
166176766826940.000044com.discogs
167176739383270.000079com.time
168176696421100.000259com.shopify
169176683962910.000087com.images-amazon
170176682981830.000155gov.nih
171176662181360.000237com.mailchimp
172176560163860.000069com.bbc
173176544506740.000045com.quora
174176497144340.000062com.marketingland
175176425602970.000086com.ibm
176176381464220.000064gov.nasa
177176370043180.000081com.photobucket
178176368121810.000159com.eventbrite
179176365085420.000051com.theverge
180176359565000.000054edu.cornell
181176354164180.000064com.git-scm
182176341544170.000065com.livejournal
183176335903280.000079com.msn
184176253405160.000052com.strikingly
185176241542550.000102com.mapquest
186176208767270.000042id.co.blogspot
187176184605740.000049com.yellowpages
188176175225510.000050org.rubyonrails
189176123424720.000057com.xrea
190176107123830.000069au.gov.nsw
191176090803630.000071com.latimes
192176080104750.000056org.kernel
193176036583760.000069com.gmail
19417597398990.000283edu.utexas
195175959222960.000086net.windows
196175951024650.000058me.paypal
197175908762430.000105com.stackoverflow
198175844744810.000055com.buzzfeed
199175780723340.000077com.meetup
200175735422120.000124com.ebay
201175680483030.000085com.staticflickr
202175680243580.000072com.npmjs
203175678927180.000042io.itch
204175671163700.000070com.ted
205175609265570.000050org.aarp
206175522742400.000108uk.co.amazon
20717551168590.000473com.vk
208175489222060.000130com.opera
209175309565350.000051net.codecanyon
210175293841760.000161com.feedburner
211175276045220.000052com.cbsnews
212175199486660.000046com.scribd
213175193365500.000050com.neilpatel
214175191203260.000079com.googlesyndication
215175187343970.000067com.springer
216175159582480.000103net.php
217175151964100.000066uk.co.blogspot
218175133465700.000049com.zdnet
219175132084370.000061com.angieslist
220175131583250.000079com.nypost
221175118765290.000052com.venturebeat
222175045464710.000057com.theatlantic
223175040044670.000058com.fortune
224175028781000.000282de.google
22517502814970.000292com.livestream
22617499932640.000427com.qq
227174962082630.000097com.surveymonkey
228174943486710.000046com.vice
229174922761610.000185uk.co.google
230174880662250.000117com.getclicky
231174865005770.000049net.daringfireball
232174853065860.000048org.maven
233174813802720.000093io.atom
2341748103210120.000034org.arxiv
235174780922420.000107com.digg
236174739824250.000063gov.whitehouse
237174731205250.000052com.box
238174720226990.000043com.newyorker
239174670943940.000068com.wiley
240174656661090.000264cc.co
241174652687390.000041com.arstechnica
242174628183730.000069org.mediawiki
243174618564420.000060com.kickstarter
244174614727890.000039com.jsbin
245174578485640.000050com.ft
24617454848940.000305me.fb
247174541105410.000051com.citysearch
248174523462670.000094com.hp
249174521462890.000087gov.ftc
250174517203140.000083gov.cdc
251174506921980.000137com.zendesk
252174504307160.000042com.unsplash
253174501322590.000101com.disqus
254174484461500.000204net.behance
255174456281620.000184com.salesforce
256174393803870.000069com.prnewswire
257174373005760.000049org.pbs
258174364964400.000060com.entrepreneur
259174317348370.000036edu.yale
260174292304910.000054com.inc
261174291865730.000049com.wikihow
262174261001010.000280com.baidu
263174236286810.000045com.dropboxusercontent
264174232347260.000042com.nationalgeographic
265174227967560.000040com.foxnews
266174219105620.000050com.wikia
267174197281950.000140jp.co.yahoo
268174195447940.000038com.naturalnews
269174184725660.000050com.deviantart
270174143962760.000091com.webs
271174138723480.000075fr.free
272174122103170.000081org.acm
273174028163960.000067ly.ow
2741739488414530.000026edu.purdue
275173936803450.000075gov.ca
276173906742180.000120com.stumbleupon
277173892549180.000035edu.psu
278173851444230.000063org.un
279173844005010.000054com.cisco
2801738343413490.000029edu.ucsd
281173817064740.000056com.giphy
282173805167360.000041com.economist
283173793742510.000103com.wufoo
2841737417412650.000032com.gizmodo
285173737523690.000070com.dailymotion
2861737286412910.000031gov.fbi
287173727805560.000050com.office
288173724827530.000041org.aclweb
289173723701730.000165com.constantcontact
290173718804530.000059com.businesswire
291173700584150.000065com.skype
292173697407380.000041org.amnesty
293173669266840.000045com.nature
294173665749320.000034edu.columbia
295173658585180.000052org.postgresql
296173646686830.000045org.tigris
2971736136815470.000023com.hotmail
298173565867460.000041com.storify
2991735200415870.000022com.vanityfair
300173513423210.000081it.placehold
301173485587400.000041com.yarnpkg
302173418863570.000072com.oreilly
303173382084940.000054com.snapchat
3041733731410320.000033edu.upenn
305173352048070.000037com.googledrive
3061733483012770.000032com.qz
3071733377410790.000033com.evernote
308173317583220.000080com.tripod
309173306347040.000043com.googlesource
310173296364260.000063int.who
311173263667100.000043com.intel
312173257867340.000041com.sublimetext
3131732487011350.000033com.shutterstock
314173220721820.000158com.weibo
315173189469440.000034org.ieee
316173185949910.000034gov.uspto
3171731635418260.000018com.fifa
318173150947900.000039ly.snip
319173146686930.000044com.bandsintown
320173140082300.000111com.bandcamp
321173135728920.000035com.statista
322173096565720.000049com.goodreads
323173095869110.000035com.bizcommunity
3241730909214850.000025uk.co.theregister
325173088427490.000041com.engadget
3261730618410720.000033org.eff
3271730333614060.000027com.trello
328173020601940.000141de.amazon
329173013804440.000060org.hbr
330173010809050.000035com.psychologytoday
3311730047614700.000025com.elpais
3321729975015760.000023com.upwork
333172953407250.000042com.samsung
334172917667190.000042org.gnupg
3351729156615320.000024edu.northwestern
336172914543240.000080com.smugmug
337172904848460.000036com.stackexchange
338172888644350.000061com.force
3391728276816020.000022org.khanacademy
3401728143012840.000031com.hootsuite
3411727868613960.000028com.ning
3421727855210010.000034com.thenextweb
343172780989550.000034com.weather
344172776249060.000035org.webmproject
345172772428870.000035com.timeanddate
3461727678215000.000025com.pexels
347172760507640.000040com.manta
348172755787970.000038com.mysanantonio
3491727380013840.000028co.vine
350172723267840.000039uk.co.guardian
3511726970416600.000021com.speakerdeck
352172689707740.000039com.uk
3531726515212590.000032org.iso
3541726329815600.000023com.billboard
355172604228740.000035com.marketwatch
356172587607650.000040com.sciencedaily
3571725860014420.000026com.thinkwithgoogle
358172581207690.000040com.digitaljournal
3591725560213790.000028in.blogspot
36017255046930.000313org.networkadvertising
3611725478415190.000024com.pcworld
3621725330815900.000022com.posterous
3631725315814320.000026com.pcmag
3641725169012810.000032com.mckinsey
365172497587440.000041com.blackberry
366172486269040.000035org.unesco
367172479166920.000044gov.noaa
3681724731613510.000029com.airbnb
3691724063213560.000029com.istockphoto
3701724012213500.000029org.altervista
371172395065530.000050com.githubusercontent
372172389362640.000096to.amzn
3731723855217190.000020org.owasp
374172378481080.000266com.bleacherreport
375172374842440.000105org.joomla
3761723679012750.000032com.netflix
377172351709170.000035edu.utep
378172349281400.000218com.googleadservices
379172345847930.000038com.merchantcircle
380172315621580.000190org.bbb
3811722750217820.000018uk.co.metro
382172270965040.000053com.bizjournals
3831722509012740.000032ca.blogspot
3841722454815560.000023com.merriam-webster
385172243283330.000077com.rawgit
3861722296616630.000021edu.usc
3871722260613370.000029uk.ac.ox
388172221207170.000042gov.sec
3891722179414360.000026de.spiegel
390172216887910.000039com.vagrantup
391172198508030.000038com.sfgate
3921721573612730.000032us.imageshack
3931721443210830.000033com.lifehacker
394172132623660.000070com.sxsw
3951721290018500.000017net.boingboing
396172119169850.000034com.americanexpress
397172114226960.000044com.moz
398172109364920.000054net.openid
3991720972412660.000032com.indiegogo
400172094302880.000088com.windowsphone
401172093663130.000083ca.google
402172088721050.000271com.people
4031720868216280.000021edu.jhu
404172062742190.000120org.drupal
4051720235218420.000018com.nfl
4061719960613600.000028gov.usgs
407171994482950.000086com.fc2
4081719894219140.000017ca.uwaterloo
409171973321310.000252jp.co.google
4101719690017890.000018com.socialmediaexaminer
4111719431016080.000022com.mcafee
4121719394619650.000016com.tutsplus
4131719209222560.000014com.twitpic
414171916064160.000065com.booking
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9231685993025560.000012com.technet
9241685951428910.000010com.ezinearticles
9251685897229830.000010com.scmp
926168588044730.000057br.com.google
9271685830031290.000009com.fitbit
9281685788421120.000015com.comcast
929168578844560.000059com.udacity
9301685764227090.000011edu.pitt
9311685707017560.000019com.findlaw
9321685540220630.000015org.openoffice
9331685527244820.000007net.minecraft
9341685507420120.000016org.kde
935168548764960.000054jp.ne.sakura
9361685473626550.000011edu.tufts
9371685437238230.000008com.techsmith
9381685405418130.000018com.screencast
9391685373422740.000014net.earthlink
9401685373217600.000019uk.co.thetimes
941168533529160.000035com.campaign-archive1
9421685326230310.000010edu.ucsc
9431685284215860.000022com.outlook
9441685264613440.000029com.usps
9451685248417040.000020gov.uscis
9461685224026390.000011com.virgin
9471685192026850.000011ly.cl
9481685190427630.000011com.asus
9491685136021640.000014fr.lefigaro
9501685085820030.000016org.poynter
9511685044639620.000007edu.byu
9521685029828220.000011com.rottentomatoes
9531685012623720.000013uk.co.express
9541684940619290.000017org.craigslist
9551684921818160.000018com.smartinsights
956168490682260.000117me.line
9571684895815770.000023com.yoast
9581684791221950.000014com.podbean
9591684712227340.000011com.tesla
9601684677231770.000009com.9to5mac
9611684562236790.000008org.wikibooks
9621684557615310.000024com.business2community
9631684455219340.000017tech.ces
9641684403427850.000011ca.huffingtonpost
9651684378825780.000012com.sophos
9661684353210630.000033com.fixr
9671684350229720.000010edu.dartmouth
9681684338037330.000008org.laptop
9691684230422760.000014com.denverpost
9701684220427730.000011com.business
9711684217414410.000026jp.geocities
9721684203411410.000033com.microbiologybytes
9731684163621760.000014ca.sfu
9741684129018530.000017com.deadline
9751684037219990.000016com.jamanetwork
9761684013420150.000016jp.ne.biglobe
9771683988215140.000024org.fao
978168398767330.000041com.sprinklr
9791683893215200.000024jp.ne.goo
9801683869642880.000007com.panoramio
9811683854430780.000010com.freelancer
9821683851643860.000007com.ladygaga
9831683791832350.000009be.blogspot
984168370207500.000041com.aweber
9851683686474390.000004com.xanga
9861683653429520.000010se.blogspot
9871683626613240.000030com.linksynergy
9881683603417590.000019com.ew
9891683492435200.000008com.diigo
9901683365424180.000013com.asahi
991168336429700.000034de.bund
9921683275823060.000014com.teenvogue
9931683174435620.000008edu.fsu
994168314849530.000034net.viainfo
9951683112410660.000033com.superiorthreads
9961683049811060.000033lt.yn
9971682987213350.000029it.amazon
998168294348210.000037ca.amazon
9991682929218480.000017com.bigthink
1000168286403350.000077org.debian

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!

April 2018 Crawl Archive Now Available

The crawl archive for April 2018 is now available! The archive is located in the commoncrawl bucket at crawl-data/CC-MAIN-2018-17/. It contains 3.1 billion web pages and 230 TiB of uncompressed content, crawled between April 19th and 27th.

The April crawl contains 625 million new URLs, not contained in any crawl archive before. New URLs are “mined” by

  • extracting and sampling URLs from
  • a breadth-first side crawl within a maximum of 4 links (“hops”) away from the home pages of the top 40 million hosts or top 40 million domains of the webgraph dataset
  • a random sample taken from WAT files of the March crawl

We took actions to reduce the amount of images unintentionally crawled: Although our crawler is focused to fetch HTML pages, there has always been a small amount (1-2%) of other document formats. We accept these – it’s a part of the web and these WARC records are useful to gain insights, e.g. to test PDF or Office document parsers at scale. However, because image links contained in sitemaps haven’t properly filtered out, the amount of images has grown during the last time and reached 2% in March 2018. As a result of filtering image links from sitemaps, the amount of images now has dropped to approx. 0.5%, cf. the MIME type statistics of the latest three monthly 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-2018-17/segment.paths.gz100
WARC filesCC-MAIN-2018-17/warc.paths.gz6432054.24
WAT filesCC-MAIN-2018-17/wat.paths.gz6432019.22
WET filesCC-MAIN-2018-17/wet.paths.gz643208.4
Robots.txt filesCC-MAIN-2018-17/robotstxt.paths.gz643200.2
Non-200 responses filesCC-MAIN-2018-17/non200responses.paths.gz643201.58
URL index filesCC-MAIN-2018-17/cc-index.paths.gz3020.23

The Common Crawl URL Index for this crawl is available at: https://index.commoncrawl.org/CC-MAIN-2018-17/. Also the columnar index has been updated to contain this 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.

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
38.1 GBcc-main-2017-18-nov-dec-jan-host-ranks.txt.gzharmonic centrality and pagerank

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
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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.