Bot traffic: sandalwoodvillas.wholetech.com

all sites · all domains · last 15 days

All sites · All Domains · Visit sandalwoodvillas.wholetech.com

Who is really visiting sandalwoodvillas.wholetech.com?

Between Oct 23 and Nov 6, sandalwoodvillas.wholetech.com received 2,411 requests. About 87% came from automated software and about 9.0% look like real people.

That works out to about 24 human visitors, roughly 2 a day, who opened 26 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.

87%of requests from bots
24human visitors (estimate)
26pages opened by people
2,411total requests, 15 days

Where the requests came from

People 9.0%Named bots 17%Disguised bots 20%Scanners 49%Unclear 4.3%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
075150225300Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

036912Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 2,411ShareData sentBlockedby the serverWhat this means
Break-in scanners64927%<1 MB0Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers53222%9 MB2Other requests from an address also caught probing for weak spots.
Disguised scrapers46519%12 MB3Claims 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.
Likely people2169.0%35 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
AI crawlers1466.1%<1 MB0AI companies gathering pages or answering a user's question, and saying so.
Search engines1275.3%1 MB1Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots1064.4%4 MB3Any other software that identifies itself as a bot.
Unclear1034.3%10 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools391.6%<1 MB18Commercial tools that sell data about websites.
Scripts and tools261.1%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Possibly people20.1%<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 crawlers82
PetalBotSearch engines75
OAI-SearchBotAI crawlers36
GPTBotAI crawlers28
leakix.netOther named bots24
bingbotSearch engines21
Amzn-SearchBotSearch engines17
SemrushBotSEO and marketing tools16
meta-webindexerOther named bots14
SofyaBotOther named bots13
BarkrowlerSEO and marketing tools12
ru-linkindexOther named bots12
GooglebotSearch engines11
SERankingBacklinksBotSEO and marketing tools9
CensysInspectOther named bots8

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/15
/location/3
/gallery/3
/the-villa/2
/amenities/2

How people arrived

Referring siteHuman visitors
m.baidu.com1

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23114621437792%
Oct 2411812155117799%
Oct 2500281684213098%
Oct 26910213267621157%
Oct 2700153946310397%
Oct 28003712515598%
Oct 2900452369314098%
Oct 30556257681526371%
Oct 31004117125118499.5%
Nov 1113216159221198%
Nov 2112351113319397%
Nov 3001142145620497%
Nov 4112045453314476%
Nov 500193775513696%
Nov 6661071211918356%

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.