Bot traffic: smallhomevillages.com

all sites · all domains · last 15 days

All sites · All Domains · Visit smallhomevillages.com

Who is really visiting smallhomevillages.com?

Between Oct 23 and Nov 6, smallhomevillages.com received 18,247 requests. About 97% came from automated software and about 1.5% look like real people.

That works out to about 110 human visitors, roughly 7 a day, who opened 173 pages between them. 36 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 3,359 requests, of which 14 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
110human visitors (estimate)
173pages opened by people
18,247total requests, 15 days

Where the requests came from

People 1.5%Named bots 14%Disguised bots 19%Scanners 64%Unclear 1.4%

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.

05101520Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 18,247ShareData sentBlockedby the serverWhat this means
Break-in scanners9,35651%12 MB1,690Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers2,46914%22 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.
Scanners posing as browsers2,33813%10 MB17Other requests from an address also caught probing for weak spots.
Scripts and tools1,0385.7%2 MB6Programs such as curl or Python, or anything with an unrecognizable name.
Search engines9095.0%6 MB6Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots8864.9%6 MB13Any other software that identifies itself as a bot.
AI crawlers5583.1%1 MB33AI companies gathering pages or answering a user's question, and saying so.
Unclear2541.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people2291.3%2 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools1570.9%<1 MB71Commercial tools that sell data about websites.
Possibly people440.2%<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 given90.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines343
bingbotSearch engines184
ClaudeBotAI crawlers174
GooglebotSearch engines173
OAI-SearchBotAI crawlers136
QlyzeBotOther named bots109
meta-webindexerOther named bots91
RiverBotOther named bots77
ibou-searchOther named bots69
BarkrowlerSEO and marketing tools67
Amzn-SearchBotSearch engines65
ElevenlabsCrawlerOther named bots63
SemrushBotSEO and marketing tools62
GPTBotAI crawlers53
DuckDuckBotSearch engines52

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/57
/villages/21
/pocket-neighborhoods/15
/starting-a-village/12
/cohousing/7
/affordability-and-homelessness/5
/news/3
/videos/3
/sources/3
/faq/2
/about/2
/rss-api2

How people arrived

Referring siteHuman visitors
m.baidu.com20
duckduckgo.com13
www.google.com8
www.bing.com5
search.yahoo.com3
www.baidu.com1
www.perplexity.ai1

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
66.249.0.0/161543
158.69.0.0/161292
192.42.0.0/1611922
102.129.0.0/16861
158.173.0.0/16513
5.102.0.0/16412
43.157.0.0/163416
185.220.0.0/16289

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2346125131531132994%
Oct 241629113186438979493%
Oct 251110914648931496%
Oct 26791701683,00253,35999.4%
Oct 279241712611261059893%
Oct 281111120142277556396%
Oct 2969129166305661997%
Oct 304121932224161085797%
Oct 31571422304866393192%
Nov 118223511,1071,079652,64096%
Nov 27101942172,056202,50598%
Nov 38103021551,38071,86199%
Nov 48101851141,052221,39097%
Nov 578141140555785698%
Nov 64565131421563198%

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.