Bot traffic: webgirlvillage.com

all sites · all domains · last 15 days

All sites · All Domains · Visit webgirlvillage.com

Who is really visiting webgirlvillage.com?

Between Oct 23 and Nov 6, webgirlvillage.com received 58,829 requests. About 99% came from automated software and about 0.2% look like real people.

That works out to about 45 human visitors, roughly 3 a day, who opened 73 pages between them. 26 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%of requests from bots
45human visitors (estimate)
73pages opened by people
58,829total requests, 15 days

Where the requests came from

People 0.2%Named bots 7.5%Disguised bots 6.9%Scanners 85%Unclear 0.8%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02,0004,0006,0008,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

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

The breakdown

SourceRequestsΣ 58,829ShareData sentBlockedby the serverWhat this means
Break-in scanners43,39774%65 MB26,980Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers6,37811%26 MB68Other requests from an address also caught probing for weak spots.
Disguised scrapers2,4944.2%17 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.
Scripts and tools1,5582.6%10 MB14Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools1,3712.3%<1 MB903Commercial tools that sell data about websites.
AI crawlers1,1411.9%2 MB57AI companies gathering pages or answering a user's question, and saying so.
Search engines1,1161.9%4 MB7Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots7951.4%4 MB9Any other software that identifies itself as a bot.
Unclear4770.8%1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people530.1%<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 people390.1%<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.
App link sweepers20.0%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
SemrushBot-BASEO and marketing tools1,089
ClaudeBotAI crawlers421
GooglebotSearch engines321
PetalBotSearch engines303
OAI-SearchBotAI crawlers212
GPTBotAI crawlers194
ApplebotSearch engines177
bingbotSearch engines171
SemrushBotSEO and marketing tools142
BytespiderAI crawlers72
MJ12botSEO and marketing tools67
BacklinksExtendedBotOther named bots59
leakix.netOther named bots48
Amzn-SearchBotSearch engines39
ElevenlabsCrawlerOther named bots36

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/39
/about.html3
/resources.html2

How people arrived

Referring siteHuman visitors
m.baidu.com22
www.google.com5
cksplasticlikecksplasticlike.blogspot.com4
www.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
66.249.0.0/161423
192.42.0.0/1611426
45.138.0.0/16914
102.129.0.0/16601
45.156.0.0/164839
183.207.0.0/16375
117.132.0.0/16341
43.130.0.0/163218

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23123271944,682335,23899.3%
Oct 24471052065,059535,43199%
Oct 25564731845,431456,14099.2%
Oct 26682464952,098282,87899%
Oct 27243893302,203262,95299%
Oct 28223611963,396333,98899.1%
Oct 29383562491,830252,46999%
Oct 30112641333,260453,70399%
Oct 317121891773,152353,57199%
Nov 1582991,0482,549443,95099%
Nov 2002121444,218114,58599.8%
Nov 3582681643,761214,22599.2%
Nov 4233001654,464284,96099.4%
Nov 5224602672,875123,61899.6%
Nov 612174110797381,12196%

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 22:43 UTC from 15 log files.