Bot traffic: amdept.wholetech.com

all sites · all domains · last 15 days

All sites · All Domains · Visit amdept.wholetech.com

Who is really visiting amdept.wholetech.com?

Between Oct 23 and Nov 6, amdept.wholetech.com received 4,930 requests. About 99.1% came from automated software and about 0.3% look like real people.

That works out to about 6 human visitors, roughly fewer than 1 a day, who opened 7 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.

The busiest day was Nov 2, with 912 requests, of which 0 came from people.

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.

99.1%of requests from bots
6human visitors (estimate)
7pages opened by people
4,930total requests, 15 days

Where the requests came from

People 0.3%Named bots 16%Disguised bots 5.5%Scanners 78%Unclear 0.7%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02505007501,000Oct 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 4,930ShareData sentBlockedby the serverWhat this means
Break-in scanners2,84358%5 MB28Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers1,00220%2 MB15Other requests from an address also caught probing for weak spots.
AI crawlers3757.6%<1 MB8AI companies gathering pages or answering a user's question, and saying so.
Search engines2164.4%<1 MB1Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Disguised scrapers1883.8%<1 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.
Other named bots1703.4%<1 MB8Any other software that identifies itself as a bot.
Scripts and tools801.6%<1 MB6Programs such as curl or Python, or anything with an unrecognizable name.
Unclear330.7%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people120.2%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools80.2%<1 MB1Commercial tools that sell data about websites.
No name given20.0%<1 MB0Requests that give no software name at all.
Possibly people10.0%<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 crawlers217
PetalBotSearch engines124
leakix.netOther named bots48
GooglebotSearch engines46
GPTBotAI crawlers33
OAI-SearchBotAI crawlers24
agentcensus-crawlerOther named bots19
bingbotSearch engines17
CensysInspectOther named bots11
DeepSeekBotAI crawlers11
QwenbotOther named bots11
Perplexity-UserAI crawlers9
CCBotAI crawlers9
YouBotAI crawlers9
BaiduspiderSearch engines9

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/5

How people arrived

Referring siteHuman visitors
www.google.com1

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 232342105503466098%
Oct 24111182815094%
Oct 25005516449352399.4%
Oct 2611441178113698%
Oct 2700555177324099%
Oct 2800487225997%
Oct 29003816120117599.4%
Oct 30005023415148999.8%
Oct 3100309245228699.3%
Nov 100228158219099%
Nov 2001587745291299.8%
Nov 31117118703589899.3%
Nov 400181584412197%
Nov 5111812138117198%
Nov 600910012095%

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.