Bot traffic: anilpattni.wholetech.com

all sites · all domains · last 15 days

All sites · All Domains · Visit anilpattni.wholetech.com

Who is really visiting anilpattni.wholetech.com?

Between Oct 23 and Nov 6, anilpattni.wholetech.com received 6,794 requests. About 98% came from automated software and about 0.2% look like real people.

That works out to about 5 human visitors, roughly fewer than 1 a day, who opened 6 pages between them. 1 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 3,107 requests, of which 2 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
5human visitors (estimate)
6pages opened by people
6,794total requests, 15 days

Where the requests came from

People 0.2%Named bots 8.9%Disguised bots 9.4%Scanners 79%Unclear 2.0%

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.

01234Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 6,794ShareData sentBlockedby the serverWhat this means
Break-in scanners5,01374%1 MB0Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers5648.3%3 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.
Scanners posing as browsers3845.7%<1 MB0Other requests from an address also caught probing for weak spots.
Search engines2353.5%2 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers2313.4%<1 MB1AI companies gathering pages or answering a user's question, and saying so.
Unclear1342.0%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Other named bots1011.5%<1 MB2Any other software that identifies itself as a bot.
Scripts and tools741.1%<1 MB1Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools400.6%<1 MB23Commercial tools that sell data about websites.
Likely people120.2%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
No name given40.1%<1 MB0Requests that give no software name at all.
Possibly people20.0%<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.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines160
ClaudeBotAI crawlers156
OAI-SearchBotAI crawlers57
Amzn-SearchBotSearch engines31
bingbotSearch engines27
SemrushBotSEO and marketing tools22
GPTBotAI crawlers18
CensysInspectOther named bots18
SofyaBotOther named bots17
GooglebotSearch engines14
ru-linkindexOther named bots13
SERankingBacklinksBotSEO and marketing tools11
meta-webindexerOther named bots11
BacklinksExtendedBotOther named bots10
ibou-searchOther named bots6

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/3

How people arrived

Referring siteHuman visitors
m.baidu.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
158.69.0.0/16292
54.205.0.0/16201
94.26.0.0/16131
102.129.0.0/16101
168.144.0.0/16102
5.245.0.0/1681
148.135.0.0/1651
170.106.0.0/1644

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23002198139926797%
Oct 24112519159821296%
Oct 25004018186788%
Oct 261163382,99953,10799.8%
Oct 27003420117617797%
Oct 2800792378718796%
Oct 2911315582818093%
Oct 30005621122620597%
Oct 31004225409748399%
Nov 1004420259733098%
Nov 2004220277190%
Nov 30058462641238097%
Nov 41125694901560097%
Nov 500307211311689%
Nov 62217982751641295%

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.