Bot traffic: hospitals.wholereach.com

all sites · all domains · last 15 days

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

Who is really visiting hospitals.wholereach.com?

Between Oct 23 and Nov 6, hospitals.wholereach.com received 4,829 requests. About 97% came from automated software and about 2.2% look like real people.

That works out to about 94 human visitors, roughly 6 a day, who opened 95 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
94human visitors (estimate)
95pages opened by people
4,829total requests, 15 days

Where the requests came from

People 2.2%Named bots 25%Disguised bots 32%Scanners 40%Unclear 0.6%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0200400600800Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

020406080Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 4,829ShareData sentBlockedby the serverWhat this means
Disguised scrapers1,44830%46 MB1Claims 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 scanners98020%6 MB8Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers97120%28 MB16Other requests from an address also caught probing for weak spots.
Other named bots4258.8%12 MB4Any other software that identifies itself as a bot.
Search engines3928.1%11 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers2394.9%4 MB0AI companies gathering pages or answering a user's question, and saying so.
SEO and marketing tools1543.2%3 MB52Commercial tools that sell data about websites.
Possibly people871.8%3 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 tools801.7%1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear290.6%<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.
App link sweepers70.1%<1 MB6Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers150
PetalBotSearch engines147
ElevenlabsCrawlerOther named bots112
SERankingBacklinksBotSEO and marketing tools98
ApplebotSearch engines95
meta-webindexerOther named bots78
Amzn-SearchBotSearch engines72
BrightbotOther named bots71
OAI-SearchBotAI crawlers66
GooglebotSearch engines60
RiverBotOther named bots50
SemrushBot-BASEO and marketing tools43
GoogleOtherOther named bots30
TokenFoundryBotOther named bots27
GPTBotAI crawlers19

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/90
/video/iNeTQ9tWnPA/2

How people arrived

Referring siteHuman visitors
www.google.com85
m.baidu.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
213.136.0.0/16561
158.173.0.0/16512
47.79.0.0/162218
201.159.0.0/16171
47.82.0.0/161615
213.230.0.0/16163
102.217.0.0/16133
191.99.0.0/16132

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2300101977118899.5%
Oct 2472721493040252786%
Oct 2500931200221599.1%
Oct 2611891460123899%
Oct 271134106404154799.5%
Oct 28001301493128399.6%
Oct 290076962417898%
Oct 300012623284143499.8%
Oct 31161677860218489%
Nov 10072117159235099.4%
Nov 2114934647273399.6%
Nov 3002384211332199.1%
Nov 42249178164439998%
Nov 511112120212897%
Nov 61130710110497%

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.