Bot traffic: dotepp.com

all sites · all domains · last 15 days

All sites · All Domains · Visit dotepp.com

Who is really visiting dotepp.com?

Between Oct 23 and Nov 6, dotepp.com received 36,472 requests. About 99.4% came from automated software and about 0.2% look like real people.

That works out to about 28 human visitors, roughly 2 a day, who opened 49 pages between them. 21 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.

99.4%of requests from bots
28human visitors (estimate)
49pages opened by people
36,472total requests, 15 days

Where the requests came from

People 0.2%Named bots 11%Disguised bots 9.2%Scanners 79%Unclear 0.4%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,5003,0004,5006,000Oct 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 36,472ShareData sentBlockedby the serverWhat this means
Break-in scanners22,93863%24 MB15,362Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers6,04717%25 MB74Other requests from an address also caught probing for weak spots.
Disguised scrapers2,2146.1%16 MB3Claims 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.
AI crawlers1,6024.4%2 MB103AI companies gathering pages or answering a user's question, and saying so.
Other named bots1,2463.4%4 MB25Any other software that identifies itself as a bot.
Scripts and tools1,1233.1%4 MB5Programs such as curl or Python, or anything with an unrecognizable name.
Search engines9662.6%3 MB9Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear1400.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools1270.3%<1 MB57Commercial tools that sell data about websites.
Possibly people390.1%<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.
Likely people220.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
No name given80.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers356
GooglebotSearch engines244
PetalBotSearch engines230
OAI-SearchBotAI crawlers174
bingbotSearch engines165
GPTBotAI crawlers104
Kimi-SearchBotOther named bots96
BaiduspiderSearch engines95
pathscanOther named bots92
claudebotAI crawlers89
BytespiderAI crawlers88
Meta-ExternalFetcherAI crawlers82
QwenbotOther named bots81
ApplebotSearch engines79
KimiBotOther named bots79

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/14

How people arrived

Referring siteHuman visitors
m.baidu.com18
www.reddit.com1
www.google.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
192.42.0.0/1613628
45.138.0.0/16954
158.69.0.0/16572
102.129.0.0/16402
185.220.0.0/16368
43.130.0.0/163524
103.4.0.0/16302
117.132.0.0/16281

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23231161901,502211,83399%
Oct 2424621541,023101,25399%
Oct 25114361252,46973,03999.7%
Oct 26242021671,236151,62499%
Oct 272421433381381,37299.1%
Oct 28341081341,16271,41699.2%
Oct 2912942172,56852,88699.8%
Oct 30116941501,424132,28299.4%
Oct 3124741644,18134,42699.8%
Nov 1474951,0153,74795,27599.7%
Nov 2113781992,89463,47999.8%
Nov 3241791351,659111,98899.2%
Nov 4342391401,145111,54099%
Nov 5242941261,50081,93799.1%
Nov 612356961,66262,12299.6%

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.