Bot traffic: wholetx.com

all sites · all domains · last 15 days

All sites · All Domains · Visit wholetx.com

Who is really visiting wholetx.com?

Between Oct 23 and Nov 6, wholetx.com received 10,084 requests. About 98% came from automated software and about 0.7% look like real people.

That works out to about 42 human visitors, roughly 3 a day, who opened 44 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 3,457 requests, of which 12 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
42human visitors (estimate)
44pages opened by people
10,084total requests, 15 days

Where the requests came from

People 0.7%Named bots 9.2%Disguised bots 13%Scanners 75%Unclear 1.6%

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.

02468Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 10,084ShareData sentBlockedby the serverWhat this means
Break-in scanners6,41564%1 MB9Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers1,18012%2 MB2Other requests from an address also caught probing for weak spots.
Disguised scrapers1,14911%12 MB1Claims 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 bots3473.4%2 MB2Any other software that identifies itself as a bot.
Search engines3033.0%2 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers2312.3%<1 MB4AI companies gathering pages or answering a user's question, and saying so.
Scripts and tools1861.8%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear1571.6%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people480.5%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools440.4%<1 MB23Commercial tools that sell data about websites.
Possibly people210.2%<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 given30.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines120
ClaudeBotAI crawlers106
GooglebotSearch engines66
bingbotSearch engines56
OAI-SearchBotAI crawlers44
GPTBotAI crawlers41
ExaSearchBotOther named bots34
CensysInspectOther named bots32
QlyzeBotOther named bots32
User-Agent:MozillaOther named bots25
Amzn-SearchBotSearch engines23
ibou-searchOther named bots23
ElevenlabsCrawlerOther named bots22
SemrushBotSEO and marketing tools20
SeznamBotSearch engines16

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/41

How people arrived

Referring siteHuman visitors
m.baidu.com18
www.google.com2

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
192.42.0.0/165916
5.102.0.0/16352
148.135.0.0/16301
223.106.0.0/162422
112.45.0.0/162119
73.28.0.0/16171
43.130.0.0/161613
170.106.0.0/161614

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23333867395951497%
Oct 243374100343752798%
Oct 25113759101111989%
Oct 267851693,32053,45799.5%
Oct 2733140141711101,00699%
Oct 28006294623124988%
Oct 2988451248820188%
Oct 302243109961226394%
Oct 31337094393656798%
Nov 1118373629879499%
Nov 21169995732176497%
Nov 3337586526870098%
Nov 4335986264441798%
Nov 5225384152629897%
Nov 63326531131120892%

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.