Bot traffic: datacenters.wholereach.com

all sites · all domains · last 15 days

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

Who is really visiting datacenters.wholereach.com?

Between Oct 23 and Nov 6, datacenters.wholereach.com received 2,995 requests. About 98% came from automated software and about 0.9% look like real people.

That works out to about 16 human visitors, roughly 1 a day, who opened 18 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.

98%of requests from bots
16human visitors (estimate)
18pages opened by people
2,995total requests, 15 days

Where the requests came from

People 0.9%Named bots 29%Disguised bots 34%Scanners 35%Unclear 0.9%

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.

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

The breakdown

SourceRequestsΣ 2,995ShareData sentBlockedby the serverWhat this means
Disguised scrapers97433%30 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 scanners65822%4 MB6Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers38913%8 MB0Other requests from an address also caught probing for weak spots.
Search engines31511%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 bots2709.0%7 MB8Any other software that identifies itself as a bot.
SEO and marketing tools1605.3%3 MB75Commercial tools that sell data about websites.
AI crawlers1344.5%3 MB0AI companies gathering pages or answering a user's question, and saying so.
Scripts and tools391.3%2 MB3Programs such as curl or Python, or anything with an unrecognizable name.
Unclear280.9%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people200.7%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people80.3%<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
PetalBotSearch engines108
ElevenlabsCrawlerOther named bots90
SERankingBacklinksBotSEO and marketing tools83
ApplebotSearch engines70
bingbotSearch engines66
GPTBotAI crawlers63
Amzn-SearchBotSearch engines50
ReflectionbotOther named bots50
SemrushBot-BASEO and marketing tools44
OAI-SearchBotAI crawlers38
meta-webindexerOther named bots30
ClaudeBotAI crawlers29
RiverBotOther named bots24
SemrushBotSEO and marketing tools22
BacklinksExtendedBotOther named bots16

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/11

How people arrived

Referring siteHuman visitors
www.google.com4
m.baidu.com2
wholereach.com1
www.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
16.98.0.0/16441
178.238.0.0/16411
185.61.0.0/16401
169.224.0.0/16236
87.81.0.0/161313
154.127.0.0/16131
47.79.0.0/161211
188.225.0.0/16121

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2311544777218298%
Oct 242247770112798%
Oct 2511601110317598%
Oct 261140150253244799.1%
Oct 27003690121224999.2%
Oct 2811441400118798%
Oct 29331371913317895%
Oct 30116612284127599%
Oct 31001111042121899.5%
Nov 1114344180327298%
Nov 200342185214299%
Nov 3223710232228399%
Nov 4443251029191%
Nov 500112180113199.2%
Nov 611269023892%

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.