Bot traffic: deptmatic.com

all sites · all domains · last 15 days

All sites · All Domains · Visit deptmatic.com

Who is really visiting deptmatic.com?

Between Oct 23 and Nov 6, deptmatic.com received 9,332 requests. About 97% came from automated software and about 0.9% look like real people.

That works out to about 48 human visitors, roughly 3 a day, who opened 49 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 1, with 1,954 requests, of which 5 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.

97%of requests from bots
48human visitors (estimate)
49pages opened by people
9,332total requests, 15 days

Where the requests came from

People 0.9%Named bots 17%Disguised bots 25%Scanners 55%Unclear 2.2%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
05001,0001,5002,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

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

The breakdown

SourceRequestsΣ 9,332ShareData sentBlockedby the serverWhat this means
Break-in scanners3,75640%4 MB60Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers1,37015%3 MB45Other requests from an address also caught probing for weak spots.
Disguised scrapers93910%2 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.
Scripts and tools8429.0%<1 MB22Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots5876.3%1 MB36Any other software that identifies itself as a bot.
Search engines5145.5%1 MB1Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
App link sweepers5075.4%<1 MB505Touches only login, app or embed links and no actual content.
AI crawlers4705.0%<1 MB21AI companies gathering pages or answering a user's question, and saying so.
Unclear2042.2%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people690.7%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools540.6%<1 MB19Commercial tools that sell data about websites.
Possibly people190.2%<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.
No name given10.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines315
ClaudeBotAI crawlers114
OAI-SearchBotAI crawlers72
bingbotSearch engines63
GooglebotSearch engines57
GPTBotAI crawlers53
RiverBotOther named bots52
ElevenlabsCrawlerOther named bots49
leakix.netOther named bots48
CensysInspectOther named bots31
BaiduspiderSearch engines31
PerplexityBotAI crawlers30
SERankingBacklinksBotSEO and marketing tools28
KeenableBotOther named bots24
SQLSpiderOther named bots24

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/42

How people arrived

Referring siteHuman visitors
m.baidu.com10
www.google.com8

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
192.42.0.0/167228
185.220.0.0/162311
223.106.0.0/162020
112.45.0.0/161917
43.165.0.0/161611
43.130.0.0/161514
43.166.0.0/161513
49.51.0.0/161312

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23223611581724196%
Oct 2422549684524297%
Oct 2511576567519597%
Oct 26101052782216082%
Oct 27116196190435299%
Oct 28228879121920189%
Oct 292281149472130192%
Oct 305555201892938191%
Oct 31005594121517691%
Nov 133239855834211,95499%
Nov 255454951,17251,73599.2%
Nov 311681061,287221,48598%
Nov 477205823211863795%
Nov 533471255452474796%
Nov 6557353383752597%

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 22:42 UTC from 15 log files.