Bot traffic: mbaprograms.wholereach.com

all sites · all domains · last 15 days

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

Who is really visiting mbaprograms.wholereach.com?

Between Oct 23 and Nov 6, mbaprograms.wholereach.com received 3,105 requests. About 98% came from automated software and about 0.7% 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 bots that say who they are. Most of those are normal and some, like search engines, help people find the site.

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
10human visitors (estimate)
12pages opened by people
3,105total requests, 15 days

Where the requests came from

People 0.7%Named bots 37%Disguised bots 35%Scanners 26%Unclear 1.0%

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 3,105ShareData sentBlockedby the serverWhat this means
Disguised scrapers1,04834%37 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 scanners50816%4 MB2Probing for WordPress logins, password files and other common weak spots.
Search engines41413%13 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots35411%11 MB1Any other software that identifies itself as a bot.
Scanners posing as browsers2969.5%6 MB0Other requests from an address also caught probing for weak spots.
SEO and marketing tools2086.7%5 MB65Commercial tools that sell data about websites.
AI crawlers1815.8%4 MB0AI companies gathering pages or answering a user's question, and saying so.
Scripts and tools361.2%2 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear321.0%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people190.6%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
App link sweepers70.2%<1 MB6Touches only login, app or embed links and no actual content.
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
PetalBotSearch engines190
SERankingBacklinksBotSEO and marketing tools137
meta-webindexerOther named bots115
ElevenlabsCrawlerOther named bots104
ApplebotSearch engines89
ClaudeBotAI crawlers83
OAI-SearchBotAI crawlers67
Amzn-SearchBotSearch engines57
SemrushBot-BASEO and marketing tools54
RiverBotOther named bots49
bingbotSearch engines45
GoogleOtherOther named bots45
GooglebotSearch engines30
GPTBotAI crawlers27
facebook.comOther named bots13

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/5

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
158.173.0.0/16502
161.97.0.0/16461
47.79.0.0/162019
88.245.0.0/16171
179.87.0.0/16151
63.143.0.0/16142
191.37.0.0/16111
93.136.0.0/16101

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 230056670212598%
Oct 241196520115099%
Oct 250066921216199%
Oct 2611114149180444999%
Oct 27002927118117599.4%
Oct 282335960113796%
Oct 2911239328228399%
Oct 3011261200315197%
Oct 3133341360117796%
Nov 1008751157329899%
Nov 200683085218599%
Nov 3002773149225199.2%
Nov 42211087106531197%
Nov 50091110210498%
Nov 60079680114899.3%

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.