Bot traffic: collegesuniversities.wholereach.com

all sites · all domains · last 15 days

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

Who is really visiting collegesuniversities.wholereach.com?

Between Oct 23 and Nov 6, collegesuniversities.wholereach.com received 3,827 requests. About 97% came from automated software and about 1.9% look like real people.

That works out to about 62 human visitors, roughly 4 a day, who opened 63 pages between them. 1 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.

97%of requests from bots
62human visitors (estimate)
63pages opened by people
3,827total requests, 15 days

Where the requests came from

People 1.9%Named bots 18%Disguised bots 30%Scanners 49%Unclear 0.7%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0125250375500Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

09182736Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 3,827ShareData sentBlockedby the serverWhat this means
Disguised scrapers1,12429%36 MB2Claims 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.
Scanners posing as browsers1,05428%34 MB3Other requests from an address also caught probing for weak spots.
Break-in scanners83222%8 MB6Probing for WordPress logins, password files and other common weak spots.
Other named bots2296.0%6 MB11Any other software that identifies itself as a bot.
Search engines1925.0%5 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
SEO and marketing tools1453.8%3 MB51Commercial tools that sell data about websites.
AI crawlers1233.2%3 MB0AI companies gathering pages or answering a user's question, and saying so.
Possibly people551.4%2 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.
Scripts and tools280.7%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear280.7%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people170.4%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.

Named bots

Botas it names itselfTypeRequests
ElevenlabsCrawlerOther named bots102
SERankingBacklinksBotSEO and marketing tools92
ApplebotSearch engines78
GPTBotAI crawlers66
Amzn-SearchBotSearch engines62
meta-webindexerOther named bots52
SemrushBot-BASEO and marketing tools40
ClaudeBotAI crawlers39
RiverBotOther named bots31
PetalBotSearch engines27
bingbotSearch engines23
OAI-SearchBotAI crawlers18
facebook.comOther named bots13
KeenableBotOther named bots11
CensysInspectOther named bots9

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/7

How people arrived

Referring siteHuman visitors
www.google.com53
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
158.173.0.0/16512
103.118.0.0/16161
95.238.0.0/16151
47.79.0.0/161313
103.146.0.0/16121
38.51.0.0/16121
77.148.0.0/16121
186.85.0.0/16111

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 233636305177219681%
Oct 24992925016484%
Oct 251181911317798%
Oct 2622301380117298%
Oct 27001435430148099.8%
Oct 28111447116595%
Oct 290014576192441799.0%
Oct 30222011821116497%
Oct 3122671341220897%
Nov 1008265149229899.3%
Nov 2002981376348999.4%
Nov 3002778362246999.6%
Nov 43343142276246899%
Nov 5445313027292%
Nov 6332558018894%

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.