Bot traffic: yoliescrubs.com

all sites · all domains · last 15 days

All sites · All Domains · Visit yoliescrubs.com

Who is really visiting yoliescrubs.com?

Between Oct 23 and Nov 6, yoliescrubs.com received 10,048 requests. About 98% came from automated software and about 0.7% look like real people.

That works out to about 24 human visitors, roughly 2 a day, who opened 27 pages between them. 3 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 2,326 requests, of which 7 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.

98%of requests from bots
24human visitors (estimate)
27pages opened by people
10,048total requests, 15 days

Where the requests came from

People 0.7%Named bots 10%Disguised bots 6.3%Scanners 82%Unclear 0.8%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
06251,2501,8752,500Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

02468Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 10,048ShareData sentBlockedby the serverWhat this means
Break-in scanners4,79648%1 MB27Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers3,42234%4 MB2Other requests from an address also caught probing for weak spots.
Disguised scrapers5835.8%7 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.
AI crawlers4344.3%<1 MB16AI companies gathering pages or answering a user's question, and saying so.
Other named bots3663.6%2 MB2Any other software that identifies itself as a bot.
Search engines2282.3%1 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear770.8%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people700.7%6 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scripts and tools510.5%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools150.1%<1 MB8Commercial tools that sell data about websites.
Possibly people30.0%<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.
App link sweepers30.0%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers179
PetalBotSearch engines80
GooglebotSearch engines58
OAI-SearchBotAI crawlers47
bingbotSearch engines42
GPTBotAI crawlers39
ExaSearchBotOther named bots36
User-Agent:MozillaOther named bots24
facebook.comOther named bots19
ApplebotSearch engines18
PerplexityBotAI crawlers17
BytespiderAI crawlers16
Dataprovider.comOther named bots16
CensysInspectOther named bots15
ChatGPT-UserAI crawlers15

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/24

How people arrived

Referring siteHuman visitors
www.google.com2
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
192.42.0.0/163116
5.102.0.0/16221
112.45.0.0/161715
104.248.0.0/16171
54.160.0.0/16161
223.106.0.0/161313
43.130.0.0/161311
185.220.0.0/16137

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23114054326342699%
Oct 24115548200631098%
Oct 25006134292539299%
Oct 268975423491050293%
Oct 27002862340643699%
Oct 281124392829695%
Oct 29224339244734196%
Oct 30774039451555496%
Oct 3111414595021,04099.6%
Nov 10077451,90532,03099.9%
Nov 233438361,84052,32699.5%
Nov 3003955778787999.2%
Nov 4112945378591%
Nov 5113829487255999.1%
Nov 60015252577290%

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.