Bot traffic: d.deptmatic.com

all sites · all domains · last 15 days

All sites · All Domains · Visit d.deptmatic.com

Who is really visiting d.deptmatic.com?

Between Oct 23 and Nov 6, d.deptmatic.com received 2,538 requests. About 95% came from automated software and about 3.9% look like real people.

That works out to about 33 human visitors, roughly 2 a day, who opened 61 pages between them. 15 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.

95%of requests from bots
33human visitors (estimate)
61pages opened by people
2,538total requests, 15 days

Where the requests came from

People 3.9%Named bots 24%Disguised bots 24%Scanners 47%Unclear 1.1%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0100200300400Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

036912Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 2,538ShareData sentBlockedby the serverWhat this means
Break-in scanners80032%<1 MB9Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers50520%<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.
Scanners posing as browsers40016%<1 MB0Other requests from an address also caught probing for weak spots.
Search engines30012%<1 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots1867.3%<1 MB11Any other software that identifies itself as a bot.
AI crawlers1094.3%<1 MB1AI companies gathering pages or answering a user's question, and saying so.
Scripts and tools923.6%<1 MB8Programs such as curl or Python, or anything with an unrecognizable name.
Likely people923.6%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Unclear281.1%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools130.5%<1 MB2Commercial tools that sell data about websites.
No name given70.3%<1 MB0Requests that give no software name at all.
Possibly people60.2%<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 engines256
OAI-SearchBotAI crawlers48
GPTBotAI crawlers46
RiverBotOther named bots28
bingbotSearch engines27
leakix.netOther named bots24
ElevenlabsCrawlerOther named bots16
GooglebotSearch engines15
facebook.comOther named bots14
MSIE 9.0Other named bots14
ibou-searchOther named bots13
CricketBotOther named bots11
AmazonbotAI crawlers10
BarkrowlerSEO and marketing tools8
KeenableBotOther named bots8

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/account/login33

How people arrived

Referring siteHuman visitors
www.google.com3

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
223.106.0.0/163521
112.45.0.0/163116
192.42.0.0/162410
27.115.0.0/16203
43.157.0.0/16167
185.220.0.0/16146
104.164.0.0/16134
123.6.0.0/16125

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2300364278115799.4%
Oct 2412302149010397%
Oct 25004521026897%
Oct 2639403179016591%
Oct 27002726015498%
Oct 28004930028198%
Oct 291532291608393%
Oct 3088382785116790%
Oct 31002440121118699.5%
Nov 1006342273137999.7%
Nov 2124035017896%
Nov 3004138270335299.1%
Nov 410125110018019388%
Nov 55107179114127895%
Nov 65132143971419483%

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.