Bot traffic: awe.wholereach.com

all sites · all domains · last 15 days

All sites · All Domains · Visit awe.wholereach.com

Who is really visiting awe.wholereach.com?

Between Oct 25 and Nov 6, awe.wholereach.com received 2,124 requests. About 97% came from automated software and about 0.5% look like real people.

That works out to about 6 human visitors, roughly fewer than 1 a day, who opened 8 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 31, with 446 requests, of which 0 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
6human visitors (estimate)
8pages opened by people
2,124total requests, 13 days

Where the requests came from

People 0.5%Named bots 23%Disguised bots 16%Scanners 58%Unclear 2.4%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0125250375500Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

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

The breakdown

SourceRequestsΣ 2,124ShareData sentBlockedby the serverWhat this means
Break-in scanners67332%<1 MB0Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers56327%<1 MB18Other requests from an address also caught probing for weak spots.
Disguised scrapers30214%1 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 crawlers1758.2%<1 MB0AI companies gathering pages or answering a user's question, and saying so.
Other named bots1507.1%<1 MB5Any other software that identifies itself as a bot.
Search engines1054.9%<1 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
SEO and marketing tools683.2%<1 MB24Commercial tools that sell data about websites.
Unclear502.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools281.3%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Possibly people60.3%<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 people40.2%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers141
bingbotSearch engines70
SERankingBacklinksBotSEO and marketing tools38
meta-webindexerOther named bots34
ElevenlabsCrawlerOther named bots34
SemrushBotSEO and marketing tools24
GPTBotAI crawlers20
facebook.comOther named bots13
OAI-SearchBotAI crawlers13
PetalBotSearch engines13
RiverBotOther named bots13
ru-linkindexOther named bots11
SeznamBotSearch engines10
CensysInspectOther named bots8
ibou-searchOther named bots6

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/2

How people arrived

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

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 250044650211198%
Oct 2622553177116798%
Oct 270040119117185%
Oct 28004916046994%
Oct 2900731424111299.1%
Oct 300040984113499.3%
Oct 31003066349144699.8%
Nov 1112949264334699%
Nov 20034140166475%
Nov 3231430229227898%
Nov 411208200223199%
Nov 5005912057693%
Nov 611115011984%

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 13 log files.