Bot traffic: hotels.wholereach.com

all sites · all domains · last 15 days

All sites · All Domains · Visit hotels.wholereach.com

Who is really visiting hotels.wholereach.com?

Between Oct 23 and Nov 6, hotels.wholereach.com received 3,603 requests. About 99% came from automated software and about 0.6% look like real people.

That works out to about 10 human visitors, roughly fewer than 1 a day, who opened 12 pages between them. 2 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.

99%of requests from bots
10human visitors (estimate)
12pages opened by people
3,603total requests, 15 days

Where the requests came from

People 0.6%Named bots 29%Disguised bots 25%Scanners 45%Unclear 0.8%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0150300450600Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

01234Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 3,603ShareData sentBlockedby the serverWhat this means
Disguised scrapers85024%27 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.
Break-in scanners80722%6 MB15Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers79722%19 MB30Other requests from an address also caught probing for weak spots.
AI crawlers3319.2%6 MB0AI companies gathering pages or answering a user's question, and saying so.
Search engines3048.4%8 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots2978.2%8 MB1Any other software that identifies itself as a bot.
SEO and marketing tools1283.6%3 MB37Commercial tools that sell data about websites.
Scripts and tools371.0%1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear300.8%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people200.6%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people20.1%<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.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers248
ElevenlabsCrawlerOther named bots98
SERankingBacklinksBotSEO and marketing tools87
PetalBotSearch engines83
ApplebotSearch engines77
OAI-SearchBotAI crawlers66
Amzn-SearchBotSearch engines58
meta-webindexerOther named bots51
ibou-searchOther named bots47
GooglebotSearch engines38
RiverBotOther named bots35
GoogleOtherOther named bots33
bingbotSearch engines32
SemrushBot-BASEO and marketing tools24
GPTBotAI crawlers16

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/5
/video/HzzepFfXLJw/3

How people arrived

Referring siteHuman visitors
m.baidu.com1

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
158.173.0.0/16452
185.61.0.0/16431
178.152.0.0/16161
189.219.0.0/16161
41.59.0.0/16161
89.155.0.0/16152
47.79.0.0/161412
31.9.0.0/16131

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2300184777114399.3%
Oct 24114029017197%
Oct 2500100740117599.4%
Oct 261119617777245499.1%
Oct 27005030290237299.5%
Oct 280096671216699%
Oct 2900817611417298%
Oct 30001011484120099.5%
Oct 313398430114895%
Nov 1117566430257599.3%
Nov 2006240284439099%
Nov 3122580238234899%
Nov 4221868112220497%
Nov 5007521029898%
Nov 6222555038792%

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 22:41 UTC from 15 log files.