Bot traffic: atlantea.org

all sites · all domains · last 15 days

All sites · All Domains · Visit atlantea.org

Who is really visiting atlantea.org?

Between Oct 24 and Nov 6, atlantea.org received 6,275 requests. About 96% came from automated software and about 3.9% look like real people.

That works out to about 38 human visitors, roughly 3 a day, who opened 115 pages between them. 11 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.

96%of requests from bots
38human visitors (estimate)
115pages opened by people
6,275total requests, 14 days

Where the requests came from

People 3.9%Named bots 14%Disguised bots 18%Scanners 63%Unclear 0.5%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02505007501,000Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

Human visitors per day

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

02468Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

The breakdown

SourceRequestsΣ 6,275ShareData sentBlockedby the serverWhat this means
Break-in scanners2,79745%<1 MB1,857Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers1,16419%2 MB3Other requests from an address also caught probing for weak spots.
Disguised scrapers93415%9 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.
Search engines3044.8%2 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots2974.7%2 MB2Any other software that identifies itself as a bot.
AI crawlers2423.9%<1 MB6AI companies gathering pages or answering a user's question, and saying so.
Likely people2363.8%2 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scripts and tools1973.1%2 MB0Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools560.9%<1 MB6Commercial tools that sell data about websites.
Unclear310.5%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people90.1%<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.
No name given30.0%<1 MB0Requests that give no software name at all.
App link sweepers30.0%<1 MB0Touches only login, app or embed links and no actual content.
Automated browsers20.0%<1 MB0Loads images like a browser, but too fast for a person or with a faked browser name.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines157
ClaudeBotAI crawlers134
GooglebotSearch engines70
QlyzeBotOther named bots56
ibou-searchOther named bots29
GPTBotAI crawlers28
SeznamBotSearch engines25
OAI-SearchBotAI crawlers24
leakix.netOther named bots24
RiverBotOther named bots24
SERankingBacklinksBotSEO and marketing tools22
Amzn-SearchBotSearch engines21
DataForSeoBotSEO and marketing tools17
NVBotOther named bots14
User-Agent:MozillaOther named bots12

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/17
/game/8
/issue-1/7
/world/4
/issue-2/4
/history/4
/games/3
/city/3
/sxs/2

How people arrived

Referring siteHuman visitors
www.google.com5
m.baidu.com2
github.com1
www.google.com.ua1

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
192.42.0.0/1612220
45.138.0.0/16752
93.123.0.0/16591
66.68.0.0/16541
204.8.0.0/16254
5.102.0.0/16233
112.45.0.0/162016
223.106.0.0/162020

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 240001001100.0%
Oct 258734425451349571%
Oct 26585484278143496%
Oct 270045183176440999%
Oct 28467373816398498%
Oct 29123440105418796%
Oct 3035587928218092%
Oct 31115452518162799.5%
Nov 12215249294250199%
Nov 277645467120292%
Nov 3117284609377199.2%
Nov 411637060219698%
Nov 58817247157139894%
Nov 6111469802489099.4%

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 13 log files.