Bot traffic: wholeseo.com

all sites · all domains · last 15 days

All sites · All Domains · Visit wholeseo.com

Who is really visiting wholeseo.com?

Between Oct 23 and Nov 6, wholeseo.com received 9,019 requests. About 98% came from automated software and about 1.2% look like real people.

That works out to about 84 human visitors, roughly 6 a day, who opened 86 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 2,001 requests, of which 8 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.

98%of requests from bots
84human visitors (estimate)
86pages opened by people
9,019total requests, 15 days

Where the requests came from

People 1.2%Named bots 12%Disguised bots 9.6%Scanners 77%Unclear 0.8%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
06251,2501,8752,500Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

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

The breakdown

SourceRequestsΣ 9,019ShareData sentBlockedby the serverWhat this means
Break-in scanners4,14646%<1 MB28Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers2,78631%<1 MB4Other requests from an address also caught probing for weak spots.
Disguised scrapers7458.3%2 MB0Claims 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 crawlers4304.8%<1 MB14AI companies gathering pages or answering a user's question, and saying so.
Other named bots3303.7%<1 MB4Any other software that identifies itself as a bot.
Search engines2582.9%<1 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Scripts and tools1211.3%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear710.8%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people680.8%<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.
Likely people360.4%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools250.3%<1 MB11Commercial tools that sell data about websites.
App link sweepers30.0%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers99
GooglebotSearch engines81
OAI-SearchBotAI crawlers68
PetalBotSearch engines68
GPTBotAI crawlers42
GoGuidesCrawlerOther named bots30
bingbotSearch engines25
Perplexity-UserAI crawlers25
BaiduspiderSearch engines23
KimiBotOther named bots23
QlyzeBotOther named bots22
PerplexityBotAI crawlers20
claudebotAI crawlers20
ApplebotSearch engines19
ChatGLM-SpiderOther named bots18

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/84

How people arrived

Referring siteHuman visitors
automarketingdept.com65
m.baidu.com1
www.google.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
192.42.0.0/163217
209.97.0.0/16171
185.220.0.0/16138
5.102.0.0/16132
43.130.0.0/16119
43.157.0.0/16119
43.165.0.0/1699
8.217.0.0/1681

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2315155440272538795%
Oct 24772772683279299%
Oct 25563244629289%
Oct 2666341091,840102,00199.1%
Oct 278823104129927493%
Oct 2822186839413195%
Oct 2920207488148233692%
Oct 30771886558867798%
Oct 31661438244130597%
Nov 1222784296031,28599.6%
Nov 2223639590467299%
Nov 3227951850398799.3%
Nov 42218730262849098%
Nov 50015529274446299.1%
Nov 611142977612894%

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.