Bot traffic: charlespetrie.com

all sites · all domains · last 15 days

All sites · All Domains · Visit charlespetrie.com

Who is really visiting charlespetrie.com?

Between Oct 24 and Nov 6, charlespetrie.com received 10,119 requests. About 96% came from automated software and about 1.9% look like real people.

That works out to about 41 human visitors, roughly 3 a day, who opened 48 pages between them. 7 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.

96%of requests from bots
41human visitors (estimate)
48pages opened by people
10,119total requests, 14 days

Where the requests came from

People 1.9%Named bots 18%Disguised bots 20%Scanners 59%Unclear 1.9%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
05001,0001,5002,000Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

Human visitors per day

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

05101520Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

The breakdown

SourceRequestsΣ 10,119ShareData sentBlockedby the serverWhat this means
Break-in scanners4,53245%<1 MB2,587Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers1,92519%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.
Scanners posing as browsers1,43214%2 MB4Other requests from an address also caught probing for weak spots.
Other named bots7577.5%6 MB10Any other software that identifies itself as a bot.
AI crawlers4844.8%<1 MB29AI companies gathering pages or answering a user's question, and saying so.
Search engines3873.8%3 MB1Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear1961.9%2 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1781.8%2 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools1591.6%<1 MB30Commercial tools that sell data about websites.
Scripts and tools560.6%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Possibly people130.1%<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.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers150
PetalBotSearch engines139
ibou-searchOther named bots93
GooglebotSearch engines78
meta-webindexerOther named bots63
GPTBotAI crawlers63
OAI-SearchBotAI crawlers60
facebook.comOther named bots57
BarkrowlerSEO and marketing tools56
ElevenlabsCrawlerOther named bots51
ExaSearchBotOther named bots47
bingbotSearch engines47
YouBotAI crawlers45
Amzn-SearchBotSearch engines40
crawlerOther named bots38

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/23
/publications/5
/classic/5
/biography/4
/novelist/3
/ideas/2

How people arrived

Referring siteHuman visitors
www.google.com11
m.baidu.com2
duckduckgo.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
192.42.0.0/1616722
148.135.0.0/16941
204.8.0.0/16566
185.220.0.0/164910
5.102.0.0/16403
170.106.0.0/163724
43.130.0.0/163524
43.159.0.0/163017

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 240011002100.0%
Oct 25121541591752051894%
Oct 26222202573512786696%
Oct 2711991634811075898%
Oct 2800108155131339799.2%
Oct 29001382314842187498%
Oct 3088278135515301,00892%
Oct 31121511354261773297%
Nov 1331561541,282131,61499%
Nov 2221071415081178097%
Nov 300841077501095199%
Nov 43515617996845495%
Nov 52021951214002371087%
Nov 6224043365345598%

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 13 log files.