Bot traffic: staysandalwood.com

all sites · all domains · last 15 days

All sites · All Domains · Visit staysandalwood.com

Who is really visiting staysandalwood.com?

Between Oct 23 and Nov 6, staysandalwood.com received 12,076 requests. About 96% came from automated software and about 2.9% look like real people.

That works out to about 73 human visitors, roughly 5 a day, who opened 83 pages between them. 10 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
73human visitors (estimate)
83pages opened by people
12,076total requests, 15 days

Where the requests came from

People 2.9%Named bots 31%Disguised bots 13%Scanners 52%Unclear 1.2%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
03757501,1251,500Oct 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 12,076ShareData sentBlockedby the serverWhat this means
Break-in scanners5,16743%1 MB3,049Probing for WordPress logins, password files and other common weak spots.
Search engines1,95916%10 MB4Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Disguised scrapers1,53013%37 MB2Claims 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 bots1,21710%12 MB20Any other software that identifies itself as a bot.
Scanners posing as browsers1,0969.1%14 MB34Other requests from an address also caught probing for weak spots.
AI crawlers3472.9%<1 MB9AI companies gathering pages or answering a user's question, and saying so.
Likely people3122.6%56 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools1771.5%<1 MB145Commercial tools that sell data about websites.
Unclear1471.2%17 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools720.6%1 MB6Programs such as curl or Python, or anything with an unrecognizable name.
Possibly people370.3%<1 MB1Read 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 given120.1%<1 MB0Requests that give no software name at all.
App link sweepers30.0%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
bingbotSearch engines1,069
PetalBotSearch engines569
QlyzeBotOther named bots507
ElevenlabsCrawlerOther named bots159
SemrushBotSEO and marketing tools140
GPTBotAI crawlers127
ibou-searchOther named bots104
GooglebotSearch engines101
ClaudeBotAI crawlers86
Amzn-SearchBotSearch engines73
OAI-SearchBotAI crawlers69
YandexBotSearch engines66
RiverBotOther named bots51
leakix.netOther named bots48
BacklinksExtendedBotOther named bots44

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/48
/videos/4

How people arrived

Referring siteHuman visitors
www.google.com27
m.baidu.com7
scriblihelp.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
212.47.0.0/161502
152.53.0.0/161081
192.42.0.0/168438
52.72.0.0/16611
5.102.0.0/16512
185.220.0.0/162713
43.153.0.0/162719
112.45.0.0/162624

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2311249964271178598%
Oct 24141719777245455594%
Oct 25674079065291,17997%
Oct 2677185114714101,05096%
Oct 2733219135269464597%
Oct 28114079628253599.3%
Oct 2957171157339268098%
Oct 30331771031321444493%
Oct 312218366316457299%
Nov 1332571014662586595%
Nov 2221619281731,08998%
Nov 367188104899151,24196%
Nov 456180571811044993%
Nov 51314628228456211,45690%
Nov 633911013221353197%

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 15 log files.