Bot traffic: stonedom.com

all sites · all domains · last 15 days

All sites · All Domains · Visit stonedom.com

Who is really visiting stonedom.com?

Between Oct 23 and Nov 6, stonedom.com received 39,067 requests. About 98% came from automated software and about 0.5% look like real people.

That works out to about 88 human visitors, roughly 6 a day, who opened 135 pages between them. 39 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.

98%of requests from bots
88human visitors (estimate)
135pages opened by people
39,067total requests, 15 days

Where the requests came from

People 0.5%Named bots 11%Disguised bots 10.0%Scanners 78%Unclear 1.0%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,5003,0004,5006,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

0481216Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 39,067ShareData sentBlockedby the serverWhat this means
Break-in scanners24,81264%28 MB14,892Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers5,64314%26 MB19Other requests from an address also caught probing for weak spots.
Disguised scrapers2,8477.3%24 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.
AI crawlers1,4803.8%2 MB97AI companies gathering pages or answering a user's question, and saying so.
Other named bots1,2193.1%5 MB29Any other software that identifies itself as a bot.
Search engines1,1683.0%4 MB6Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Scripts and tools1,0452.7%3 MB11Programs such as curl or Python, or anything with an unrecognizable name.
Unclear3901.0%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools2660.7%<1 MB83Commercial tools that sell data about websites.
Likely people1260.3%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people680.2%<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 given20.0%<1 MB0Requests that give no software name at all.
App link sweepers10.0%<1 MB1Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines336
ClaudeBotAI crawlers326
GooglebotSearch engines282
bingbotSearch engines203
OAI-SearchBotAI crawlers136
BytespiderAI crawlers107
GPTBotAI crawlers93
SemrushBotSEO and marketing tools81
PerplexityBotAI crawlers80
ApplebotSearch engines76
DuckAssistBotOther named bots74
ElevenlabsCrawlerOther named bots72
CCBotAI crawlers70
GrokBotAI crawlers70
ibou-searchOther named bots70

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/51
/resources/5
/expanse/4
/about/4
/news/3
/rss-api3
/faq/3
/resources.html3
/research/2
/about.html2

How people arrived

Referring siteHuman visitors
m.baidu.com21
www.google.com19
duckduckgo.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
183.207.0.0/161532
192.42.0.0/1614718
102.129.0.0/161381
158.69.0.0/161102
103.4.0.0/161082
117.132.0.0/16901
5.102.0.0/16472
66.249.0.0/16423

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23561171582,75093,04399.4%
Oct 24461361472,35382,65399.4%
Oct 25126931864,97785,86799.8%
Oct 26681661351,575881,97595%
Oct 2736134274730141,16098%
Oct 28771992064,022104,44999.5%
Oct 29461452795051094798%
Oct 30112271641,699112,10299.4%
Oct 313531214189591,36399%
Nov 112179961,1863,016205,24499.1%
Nov 213172592072,798113,30799%
Nov 3352701282,441102,85499.5%
Nov 41420271212817301,36096%
Nov 511191373011,504702,03196%
Nov 6810711713738271286%

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.