Bot traffic: multipolemag.com

all sites · all domains · last 15 days

All sites · All Domains · Visit multipolemag.com

Who is really visiting multipolemag.com?

Between Oct 23 and Nov 6, multipolemag.com received 8,772 requests. About 98% came from automated software and about 0.1% look like real people.

That works out to about 7 human visitors, roughly fewer than 1 a day, who opened 11 pages between them. 4 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.

98%of requests from bots
7human visitors (estimate)
11pages opened by people
8,772total requests, 15 days

Where the requests came from

People 0.1%Named bots 32%Disguised bots 27%Scanners 39%Unclear 1.5%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
03757501,1251,500Oct 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 8,772ShareData sentBlockedby the serverWhat this means
Break-in scanners2,23525%<1 MB9Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers1,60518%15 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.
Search engines1,48117%8 MB11Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Scanners posing as browsers1,18413%2 MB4Other requests from an address also caught probing for weak spots.
Scripts and tools8009.1%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots7248.3%4 MB17Any other software that identifies itself as a bot.
AI crawlers4204.8%<1 MB14AI companies gathering pages or answering a user's question, and saying so.
SEO and marketing tools1742.0%<1 MB149Commercial tools that sell data about websites.
Unclear1331.5%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people110.1%<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.
App link sweepers30.0%<1 MB3Touches only login, app or embed links and no actual content.
No name given20.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines839
ClaudeBotAI crawlers278
Amzn-SearchBotSearch engines249
bingbotSearch engines241
QlyzeBotOther named bots157
ElevenlabsCrawlerOther named bots151
MJ12botSEO and marketing tools78
SeznamBotSearch engines66
SemrushBotSEO and marketing tools56
OAI-SearchBotAI crawlers40
SofyaBotOther named bots40
RiverBotOther named bots35
GooglebotSearch engines31
GPTBotAI crawlers24
SEOJuice-SearchBotOther named bots24

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/3
/how-it-works/2

How people arrived

Referring siteHuman visitors
www.google.com5
m.baidu.com1
duckduckgo.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
192.42.0.0/1610551
75.119.0.0/16801
95.111.0.0/16691
158.173.0.0/16542
5.102.0.0/16332
185.220.0.0/163121
180.153.0.0/162017
27.115.0.0/16146

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2300232485941482598%
Oct 24112187226632398%
Oct 250022657326461399.3%
Oct 261116895128840098%
Oct 270015310927429399%
Oct 28003599715847998%
Oct 2900221866350121,44999.2%
Oct 300023783560988999%
Oct 31001445985741,06499.6%
Nov 11114774167439399%
Nov 21226470312765599%
Nov 312124762281544596%
Nov 42314480741932093%
Nov 511111119246648399%
Nov 600516891314191%

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 22:42 UTC from 15 log files.