Bot traffic: hulloships.com

all sites · all domains · last 15 days

All sites · All Domains · Visit hulloships.com

Who is really visiting hulloships.com?

Between Oct 23 and Nov 6, hulloships.com received 81,912 requests. About 94% came from automated software and about 5.2% look like real people.

That works out to about 1,193 human visitors, roughly 80 a day, who opened 2,591 pages between them. 540 of them read more than one page.

The biggest source is bots that say who they are. Most of those are normal and some, like search engines, help people find the site.

Bottom line: the hit counts on the All Domains worksheet are almost entirely bots. Use the human visitor figure here to judge this site's real audience.

94%of requests from bots
1,193human visitors (estimate)
2,591pages opened by people
81,912total requests, 15 days

Where the requests came from

People 5.2%Named bots 61%Disguised bots 26%Scanners 7.3%Unclear 0.4%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
03,1256,2509,37512,500Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

Same days, people only, on their own scale so they are visible.

050100150200Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 81,912ShareData sentBlockedby the serverWhat this means
Other named bots27,14533%179 MB57Any other software that identifies itself as a bot.
Disguised scrapers19,99724%118 MB332Claims to be a normal browser but only downloads pages, never the images or icons a real browser fetches, reads many pages without ever clicking a link, or runs from a cloud provider.
Search engines13,49316%71 MB8Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers6,6278.1%40 MB17AI companies gathering pages or answering a user's question, and saying so.
Likely people4,1925.1%36 MB78Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Break-in scanners3,3444.1%<1 MB436Probing for WordPress logins, password files and other common weak spots.
SEO and marketing tools2,8473.5%6 MB986Commercial tools that sell data about websites.
Scanners posing as browsers2,5963.2%9 MB9Other requests from an address also caught probing for weak spots.
Scripts and tools1,2721.6%19 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear3080.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people780.1%<1 MB0Read 1 to 3 pages, arrived from a search engine or social link, no icons fetched. Referrers can be faked, so treat these as maybe.
No name given130.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
QlyzeBotOther named bots13,004
ElevenlabsCrawlerOther named bots8,368
PetalBotSearch engines6,748
GPTBotAI crawlers3,843
bingbotSearch engines2,062
DataForSeoBotSEO and marketing tools1,757
meta-webindexerOther named bots1,738
YouBotAI crawlers1,709
Amzn-SearchBotSearch engines1,126
SterrificDomainResearchOther named bots1,045
ExaSearchBotOther named bots998
BaiduspiderSearch engines984
GooglebotSearch engines771
ApplebotSearch engines718
Baiduspider-renderSearch engines526

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/hx/api/listings424
/listing.html398
/71
/hx/api/health36
/browse.html26
/boats/ee09c38f02da.html7
/boats/a8b0907aae52.html5
/boats/5
/boats/f51a08a9d250.html5
/boats/8a99acc92fbb.html5
/index.html4
/boats/6c7e34a66fa3.html4

How people arrived

Referring siteHuman visitors
www.google.com97
www.bing.com26
duckduckgo.com12
m.baidu.com9
search.yahoo.com3
www.ecosia.org2
www.qwant.com1
www.yahoo.com1
www.google.ca1

Where disguised bots operate from

Address blocks, not individual addresses. A heavily used block with many addresses suggests one operator rotating through them.

Address blockRequestsAddresses used
43.173.0.0/161,809829
79.143.0.0/169672
80.241.0.0/169263
43.172.0.0/16878433
43.153.0.0/16848221
212.47.0.0/168053
45.132.0.0/165552
170.106.0.0/16542153

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 231111361,1531,529195183,14492%
Oct 24921708311,378171242,66989%
Oct 251412847821,743380203,36886%
Oct 261593529531,187107352,80780%
Oct 271283243,7661,187316265,76991%
Oct 281132682,90995367204,34690%
Oct 291403354,5231,9521,874188,90194%
Oct 30661352,6351,18547274,11794%
Oct 31551168,7078571,0121310,79098%
Nov 141512,491570395143,57297%
Nov 252814,847466420275,90997%
Nov 3335710,6615093131411,60299%
Nov 460693,1151,004227164,51396%
Nov 5811151,6031,906194193,95694%
Nov 688981,1364,856222176,44996%

How this was measured

Every request in the server log was sorted by what it did, not only what it claimed to be. Bots that name themselves are counted as named. Anything claiming to be a browser had to act like one: open a page, fetch its images or icons, move at human speed, and come from outside the big cloud providers. These are estimates. A careful bot can pass the test, and a person with images blocked or a cached icon can fail it, so read the human figures as a good approximation, not an exact count. One person using two devices counts as two visitors. Google Analytics-style tools would show different numbers because most bots never run their script. Logs are kept for 15 days.

Built 2026-11-06 22:43 UTC from 15 log files.