Bot traffic: charities.wholereach.com

all sites · all domains · last 15 days

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

Who is really visiting charities.wholereach.com?

Between Oct 23 and Nov 6, charities.wholereach.com received 3,247 requests. About 99% came from automated software and about 0.6% look like real people.

That works out to about 9 human visitors, roughly fewer than 1 a day, who opened 11 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 27, with 550 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.

99%of requests from bots
9human visitors (estimate)
11pages opened by people
3,247total requests, 15 days

Where the requests came from

People 0.6%Named bots 23%Disguised bots 29%Scanners 47%Unclear 0.7%

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.

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

The breakdown

SourceRequestsΣ 3,247ShareData sentBlockedby the serverWhat this means
Disguised scrapers88627%31 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.
Scanners posing as browsers82225%19 MB3Other requests from an address also caught probing for weak spots.
Break-in scanners71322%12 MB0Probing for WordPress logins, password files and other common weak spots.
Search engines2347.2%6 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots2337.2%7 MB7Any other software that identifies itself as a bot.
AI crawlers1484.6%3 MB0AI companies gathering pages or answering a user's question, and saying so.
SEO and marketing tools1193.7%3 MB24Commercial tools that sell data about websites.
No name given280.9%3 MB0Requests that give no software name at all.
Unclear240.7%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools210.6%1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Likely people160.5%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people30.1%<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
ElevenlabsCrawlerOther named bots106
SERankingBacklinksBotSEO and marketing tools93
ApplebotSearch engines90
OAI-SearchBotAI crawlers73
Amzn-SearchBotSearch engines60
ClaudeBotAI crawlers53
meta-webindexerOther named bots49
RiverBotOther named bots42
bingbotSearch engines33
PetalBotSearch engines23
GPTBotAI crawlers16
SemrushBot-BASEO and marketing tools11
GooglebotSearch engines9
SeznamBotSearch engines8
MJ12botSEO and marketing tools8

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/4

How people arrived

Referring siteHuman visitors
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
158.173.0.0/16522
47.79.0.0/161815
103.176.0.0/16123
41.209.0.0/16111
188.53.0.0/16101
47.15.0.0/1693
217.229.0.0/1691
196.39.0.0/1681

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 230065540112099.2%
Oct 24112126625695%
Oct 250025940212198%
Oct 2611371750121599%
Oct 27003973437155099.8%
Oct 280032972213398%
Oct 2911197733227799%
Oct 30003176199130799.7%
Oct 3145177112211190%
Nov 1004731229230999.4%
Nov 21193160111198%
Nov 3001547152121599.5%
Nov 4221926300335298%
Nov 500656195126799.6%
Nov 60031700210398%

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.