Bot traffic: flip.realhotsprings.com

all sites · all domains · last 15 days

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

Who is really visiting flip.realhotsprings.com?

Between Oct 23 and Nov 6, flip.realhotsprings.com received 5,623 requests. About 96% came from automated software and about 0.6% look like real people.

That works out to about 12 human visitors, roughly fewer than 1 a day, who opened 14 pages between them. 2 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 3,096 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.

96%of requests from bots
12human visitors (estimate)
14pages opened by people
5,623total requests, 15 days

Where the requests came from

People 0.6%Named bots 16%Disguised bots 2.4%Scanners 78%Unclear 2.9%

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 5,623ShareData sentBlockedby the serverWhat this means
Break-in scanners4,14274%<1 MB467Probing for WordPress logins, password files and other common weak spots.
Search engines3656.5%2 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers3055.4%<1 MB1AI companies gathering pages or answering a user's question, and saying so.
Scanners posing as browsers2584.6%<1 MB12Other requests from an address also caught probing for weak spots.
Other named bots1723.1%<1 MB2Any other software that identifies itself as a bot.
Unclear1622.9%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Disguised scrapers1162.1%<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.
SEO and marketing tools520.9%<1 MB41Commercial tools that sell data about websites.
Likely people300.5%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scripts and tools180.3%<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 engines280
ClaudeBotAI crawlers234
RiverBotOther named bots75
OAI-SearchBotAI crawlers37
Amzn-SearchBotSearch engines37
GPTBotAI crawlers34
SemrushBotSEO and marketing tools32
ElevenlabsCrawlerOther named bots27
GooglebotSearch engines24
bingbotSearch engines22
CensysInspectOther named bots18
SERankingBacklinksBotSEO and marketing tools12
UmaiBotOther named bots9
BacklinksExtendedBotOther named bots8
AgentTrustBotOther named bots6

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/11

How people arrived

Referring siteHuman visitors
m.baidu.com1

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2300677157123299.6%
Oct 24113222236093%
Oct 25004313346394%
Oct 26336713,01933,09699.7%
Oct 2700484181123499.6%
Oct 283475956615789%
Oct 2900484456192%
Oct 3033646058384%
Oct 3100606275334499.1%
Nov 1111219158229398%
Nov 211677203628597%
Nov 30049111992628591%
Nov 41160141223623384%
Nov 500582813312072%
Nov 60035140287764%

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.