Bot traffic: meetingfacilities.wholereach.com

all sites · all domains · last 15 days

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

Who is really visiting meetingfacilities.wholereach.com?

Between Oct 23 and Nov 6, meetingfacilities.wholereach.com received 3,526 requests. About 97% came from automated software and about 2.0% look like real people.

That works out to about 64 human visitors, roughly 4 a day, who opened 65 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.

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
64human visitors (estimate)
65pages opened by people
3,526total requests, 15 days

Where the requests came from

People 2.0%Named bots 32%Disguised bots 32%Scanners 33%Unclear 1.4%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0150300450600Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

09182736Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 3,526ShareData sentBlockedby the serverWhat this means
Disguised scrapers1,07631%34 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.
Break-in scanners70020%5 MB8Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers46613%9 MB0Other requests from an address also caught probing for weak spots.
AI crawlers39311%7 MB0AI companies gathering pages or answering a user's question, and saying so.
Search engines35910%10 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots2176.2%5 MB10Any other software that identifies itself as a bot.
SEO and marketing tools1474.2%3 MB49Commercial tools that sell data about websites.
Possibly people601.7%2 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.
Scripts and tools491.4%1 MB5Programs such as curl or Python, or anything with an unrecognizable name.
Unclear481.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people110.3%<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 crawlers270
PetalBotSearch engines184
ElevenlabsCrawlerOther named bots104
ApplebotSearch engines98
OAI-SearchBotAI crawlers95
SERankingBacklinksBotSEO and marketing tools93
Amzn-SearchBotSearch engines65
RiverBotOther named bots38
SemrushBot-BASEO and marketing tools36
GPTBotAI crawlers23
meta-webindexerOther named bots18
facebook.comOther named bots15
KeenableBotOther named bots10
CensysInspectOther named bots9
SmartAssistOther named bots8

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/8
/directory2

How people arrived

Referring siteHuman visitors
www.google.com58
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
185.61.0.0/16491
213.136.0.0/16291
80.241.0.0/16211
159.196.0.0/16181
192.42.0.0/161616
47.79.0.0/161412
201.7.0.0/16141
186.73.0.0/16141

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2336362810677124885%
Oct 241313811300422992%
Oct 2511611041216998%
Oct 262281950218297%
Oct 27113365417151799.6%
Oct 2800601246319398%
Oct 2900217235424998%
Oct 300067137841230096%
Oct 3111911600625997%
Nov 10013978243346399.4%
Nov 200714485220299.0%
Nov 3002923143219799%
Nov 433977105221697%
Nov 5663918036686%
Nov 6222211013692%

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.