Bot traffic: historic.realhotsprings.com

all sites · all domains · last 15 days

All sites · All Domains · Visit historic.realhotsprings.com

Who is really visiting historic.realhotsprings.com?

Between Oct 23 and Nov 6, historic.realhotsprings.com received 5,599 requests. About 97% came from automated software and about 0.5% look like real people.

That works out to about 10 human visitors, roughly fewer than 1 a day, who opened 13 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 Oct 26, with 3,063 requests, of which 6 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
10human visitors (estimate)
13pages opened by people
5,599total requests, 15 days

Where the requests came from

People 0.5%Named bots 14%Disguised bots 3.2%Scanners 79%Unclear 2.4%

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.

01234Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 5,599ShareData sentBlockedby the serverWhat this means
Break-in scanners4,19175%<1 MB501Probing for WordPress logins, password files and other common weak spots.
Search engines3356.0%2 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers2734.9%<1 MB1AI companies gathering pages or answering a user's question, and saying so.
Scanners posing as browsers2564.6%1 MB4Other requests from an address also caught probing for weak spots.
Disguised scrapers1713.1%1 MB1Claims 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.
Other named bots1632.9%<1 MB2Any other software that identifies itself as a bot.
Unclear1352.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools390.7%<1 MB30Commercial tools that sell data about websites.
Likely people240.4%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scripts and tools90.2%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Possibly people20.0%<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.
No name given10.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines259
ClaudeBotAI crawlers209
RiverBotOther named bots82
Amzn-SearchBotSearch engines36
OAI-SearchBotAI crawlers36
GPTBotAI crawlers28
SemrushBotSEO and marketing tools28
ElevenlabsCrawlerOther named bots26
GooglebotSearch engines19
CensysInspectOther named bots18
bingbotSearch engines17
SERankingBacklinksBotSEO and marketing tools9
AgentTrustBotOther named bots6
UmaiBotOther named bots6
ApplebotSearch engines4

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/9

How people arrived

Referring siteHuman visitors
m.baidu.com1

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23006922180227399.3%
Oct 24112624247593%
Oct 25233817146784%
Oct 26333613,01913,06399.8%
Oct 2700404180122599.6%
Oct 280078230210398%
Oct 290042256110199.0%
Oct 302267250710389%
Oct 31006413027997%
Nov 1111259560369999.3%
Nov 200587143521398%
Nov 30050151432523389%
Nov 41142121212820486%
Nov 50047142299268%
Nov 61228150216962%

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.