Bot traffic: wholevoyage.com

all sites · all domains · last 15 days

All sites · All Domains · Visit wholevoyage.com

Who is really visiting wholevoyage.com?

Between Oct 23 and Nov 6, wholevoyage.com received 11,874 requests. About 92% came from automated software and about 1.9% look like real people.

That works out to about 108 human visitors, roughly 7 a day, who opened 136 pages between them. 27 of them read more than one page.

The biggest source is scanners hunting for security holes. They try the same list of common weak spots on every site they find.

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.

92%of requests from bots
108human visitors (estimate)
136pages opened by people
11,874total requests, 15 days

Where the requests came from

People 1.9%Named bots 38%Disguised bots 13%Scanners 40%Unclear 6.5%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
05001,0001,5002,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

05101520Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 11,874ShareData sentBlockedby the serverWhat this means
Other named bots3,03826%120 MB53Any other software that identifies itself as a bot.
Break-in scanners2,59722%<1 MB43Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers2,16718%30 MB4Other requests from an address also caught probing for weak spots.
Disguised scrapers1,51113%58 MB0Claims 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.
Unclear7756.5%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Search engines7546.4%12 MB3Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers6775.7%4 MB3AI companies gathering pages or answering a user's question, and saying so.
Likely people1621.4%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools670.6%2 MB40Commercial tools that sell data about websites.
Scripts and tools640.5%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Possibly people620.5%3 MB1Read 1 to 3 pages, arrived from a search engine or social link, no icons fetched. Referrers can be faked, so treat these as maybe.

Named bots

Botas it names itselfTypeRequests
ElevenlabsCrawlerOther named bots2,308
PetalBotSearch engines354
ClaudeBotAI crawlers324
QlyzeBotOther named bots252
GPTBotAI crawlers207
ApplebotSearch engines108
Amzn-SearchBotSearch engines97
ibou-searchOther named bots87
bingbotSearch engines79
GooglebotSearch engines68
OAI-SearchBotAI crawlers47
SofyaBotOther named bots43
SemrushBotSEO and marketing tools38
SeznamBotSearch engines30
ReflectionbotOther named bots28

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/64
/faq/6
/ships/3
/videos/3
/crew/3
/colorado/2
/references.html2
/team/2
/skills-preview/2

How people arrived

Referring siteHuman visitors
www.google.com34
m.baidu.com8

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
152.53.0.0/161351
192.42.0.0/169231
117.132.0.0/16581
148.135.0.0/16512
112.45.0.0/162722
43.130.0.0/162416
43.165.0.0/162416
43.157.0.0/162318

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 236710612342527186%
Oct 249111141005405682791%
Oct 2569194771364346188%
Oct 2617192778212815067772%
Oct 27910731363639968883%
Oct 28352407916935195%
Oct 295725812312941196%
Oct 301216678101184301,01995%
Oct 315677093376881,33793%
Nov 1610532991911084398%
Nov 211124291322731286896%
Nov 333493127804711,50195%
Nov 4781101076186391391%
Nov 523218106907801,31494%
Nov 691044902123039388%

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 22:42 UTC from 15 log files.