Bot traffic: codedmag.com

all sites · all domains · last 15 days

All sites · All Domains · Visit codedmag.com

Who is really visiting codedmag.com?

Between Oct 23 and Nov 6, codedmag.com received 7,967 requests. About 98% came from automated software and about 0.8% look like real people.

That works out to about 34 human visitors, roughly 2 a day, who opened 47 pages between them. 13 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 Nov 6, with 1,408 requests, of which 4 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
34human visitors (estimate)
47pages opened by people
7,967total requests, 15 days

Where the requests came from

People 0.8%Named bots 11%Disguised bots 21%Scanners 65%Unclear 1.4%

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.

02468Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 7,967ShareData sentBlockedby the serverWhat this means
Break-in scanners3,81448%<1 MB8Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers1,39017%1 MB16Other requests from an address also caught probing for weak spots.
Disguised scrapers1,25716%12 MB2Claims 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.
Scripts and tools4125.2%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots3784.7%2 MB9Any other software that identifies itself as a bot.
Search engines3164.0%2 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers1592.0%<1 MB4AI companies gathering pages or answering a user's question, and saying so.
Unclear1101.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools630.8%<1 MB29Commercial tools that sell data about websites.
Likely people400.5%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people270.3%<1 MB3Read 1 to 3 pages, arrived from a search engine or social link, no icons fetched. Referrers can be faked, so treat these as maybe.
No name given10.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines162
GooglebotSearch engines54
OAI-SearchBotAI crawlers49
leakix.netOther named bots48
Amzn-SearchBotSearch engines37
GPTBotAI crawlers27
SemrushBotSEO and marketing tools26
ClaudeBotAI crawlers24
bingbotSearch engines23
SeznamBotSearch engines23
ElevenlabsCrawlerOther named bots22
QlyzeBotOther named bots19
User-Agent:MozillaOther named bots17
BarkrowlerSEO and marketing tools16
DataForSeoBotSEO and marketing tools16

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/22

How people arrived

Referring siteHuman visitors
www.google.com13
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
192.42.0.0/1613856
185.220.0.0/163525
112.45.0.0/162721
5.102.0.0/16212
43.157.0.0/162016
223.106.0.0/162019
79.143.0.0/16161
49.51.0.0/161411

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 236117127794746196%
Oct 24355364387851797%
Oct 2511724429515295%
Oct 2644349458319794%
Oct 273542121201837896%
Oct 2812518780822896%
Oct 2911558937318697%
Oct 300044626191273798%
Oct 31333152231332397%
Nov 10016860625585899.4%
Nov 22263702161436695%
Nov 3123943302539198%
Nov 45684110238544697%
Nov 53361841,151171,31998%
Nov 6224841393671,40899.2%

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.