Bot traffic: barneyfrauenthal.com

all sites · all domains · last 15 days

All sites · All Domains · Visit barneyfrauenthal.com

Who is really visiting barneyfrauenthal.com?

Between Oct 23 and Nov 6, barneyfrauenthal.com received 53,149 requests. About 99.4% came from automated software and about 0.2% look like real people.

That works out to about 76 human visitors, roughly 5 a day, who opened 81 pages between them. 4 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
76human visitors (estimate)
81pages opened by people
53,149total requests, 15 days

Where the requests came from

People 0.2%Named bots 6.2%Disguised bots 4.2%Scanners 89%Unclear 0.4%

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.

0481216Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 53,149ShareData sentBlockedby the serverWhat this means
Break-in scanners40,58676%64 MB25,183Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers6,74513%59 MB49Other requests from an address also caught probing for weak spots.
Disguised scrapers1,9823.7%49 MB5Claims 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 crawlers1,2422.3%4 MB56AI companies gathering pages or answering a user's question, and saying so.
Search engines1,1162.1%6 MB3Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots7871.5%8 MB7Any other software that identifies itself as a bot.
Unclear2320.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools2240.4%4 MB2Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools1290.2%<1 MB27Commercial tools that sell data about websites.
Possibly people620.1%3 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 people360.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
No name given40.0%<1 MB0Requests that give no software name at all.
App link sweepers40.0%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines511
ClaudeBotAI crawlers363
GooglebotSearch engines269
OAI-SearchBotAI crawlers165
bingbotSearch engines111
GPTBotAI crawlers75
BytespiderAI crawlers61
BarkrowlerSEO and marketing tools59
GrokBotAI crawlers58
AmazonbotAI crawlers54
Amzn-SearchBotSearch engines51
Claude-SearchBotAI crawlers49
ApplebotSearch engines47
cohere-aiAI crawlers47
Meta-ExternalFetcherAI crawlers44

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/66
/familytree.html2
/timeline.html2

How people arrived

Referring siteHuman visitors
aquachifit.com39
www.google.com17
www.bing.com1
duckduckgo.com1
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
192.42.0.0/1620553
73.190.0.0/161381
102.129.0.0/16791
185.220.0.0/164014
5.102.0.0/16363
171.25.0.0/16297
158.173.0.0/16265
43.166.0.0/162518

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2333971033,314113,53099.5%
Oct 2477791523,528163,78299.4%
Oct 25673671274,314124,82899.6%
Oct 2612132273041,68462,23799.0%
Oct 2716181521852,488192,86699%
Oct 28552621163,823104,21699.6%
Oct 29991202132,005202,36899%
Oct 30443341466,040136,53799.7%
Oct 31332981386,802127,25499.8%
Nov 1222931452,495332,96999%
Nov 2331671612,70083,04099.6%
Nov 3002591762,540192,99499.4%
Nov 4332451092,194352,58798%
Nov 511219742,040122,34699.4%
Nov 633155651,36461,59599.3%

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.