Bot traffic: taichipaul.com

all sites · all domains · last 15 days

All sites · All Domains · Visit taichipaul.com

Who is really visiting taichipaul.com?

Between Oct 23 and Nov 6, taichipaul.com received 15,068 requests. About 97% came from automated software and about 1.3% look like real people.

That works out to about 121 human visitors, roughly 8 a day, who opened 143 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.

The busiest day was Oct 26, with 3,261 requests, of which 8 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
121human visitors (estimate)
143pages opened by people
15,068total requests, 15 days

Where the requests came from

People 1.3%Named bots 14%Disguised bots 16%Scanners 68%Unclear 1.4%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,0002,0003,0004,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

05101520Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 15,068ShareData sentBlockedby the serverWhat this means
Break-in scanners8,19554%1 MB1,076Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers2,19915%12 MB11Claims 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 browsers2,02013%3 MB10Other requests from an address also caught probing for weak spots.
Other named bots7454.9%3 MB10Any other software that identifies itself as a bot.
Search engines6564.4%2 MB1Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers4593.0%<1 MB31AI companies gathering pages or answering a user's question, and saying so.
Unclear2171.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools1901.3%<1 MB65Commercial tools that sell data about websites.
Scripts and tools1861.2%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Likely people1060.7%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people920.6%<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 given30.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines219
GooglebotSearch engines198
OAI-SearchBotAI crawlers107
QlyzeBotOther named bots98
GPTBotAI crawlers61
SemrushBotSEO and marketing tools61
bingbotSearch engines59
Amzn-SearchBotSearch engines58
ClaudeBotAI crawlers57
SERankingBacklinksBotSEO and marketing tools55
leakix.netOther named bots48
ElevenlabsCrawlerOther named bots45
serpstatbotSEO and marketing tools36
ChatGPT-UserAI crawlers34
Dataprovider.comOther named bots33

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/96
/videos/2
/sitemap/2
/sitemap.html2

How people arrived

Referring siteHuman visitors
aquachifit.com65
www.google.com17
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
5.102.0.0/161532
192.42.0.0/1614438
152.53.0.0/161351
185.220.0.0/165715
23.180.0.0/16501
43.157.0.0/164616
43.165.0.0/164213
43.130.0.0/163516

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23352421273471373997%
Oct 24910141138874121,18198%
Oct 2533103149221529493%
Oct 2666861333,021133,26199.4%
Oct 2718181791685391191897%
Oct 2810101062063741270897%
Oct 2920211171696371596396%
Oct 301414285210627231,16496%
Oct 3167841765291281197%
Nov 1551891264531479297%
Nov 2691391775351288197%
Nov 335701691,15791,41099.0%
Nov 4681421505092784095%
Nov 512191061755291785095%
Nov 62361115621225693%

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.