Bot traffic: atxguide.net

all sites · all domains · last 15 days

All sites · All Domains · Visit atxguide.net

Who is really visiting atxguide.net?

Between Oct 24 and Nov 6, atxguide.net received 4,356 requests. About 91% came from automated software and about 5.1% look like real people.

That works out to about 50 human visitors, roughly 4 a day, who opened 54 pages between them. 4 of them read more than one page.

The biggest source is software pretending to be ordinary web browsers. It usually comes from thousands of rotating addresses to avoid being blocked, and it takes content without sending any readers back.

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.

91%of requests from bots
50human visitors (estimate)
54pages opened by people
4,356total requests, 14 days

Where the requests came from

People 5.1%Named bots 24%Disguised bots 34%Scanners 33%Unclear 4.4%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0200400600800Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

Human visitors per day

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

036912Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

The breakdown

SourceRequestsΣ 4,356ShareData sentBlockedby the serverWhat this means
Disguised scrapers1,40632%8 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 scanners77718%<1 MB388Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers64515%<1 MB14Other requests from an address also caught probing for weak spots.
Other named bots3898.9%1 MB1Any other software that identifies itself as a bot.
Search engines3087.1%2 MB2Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers3067.0%<1 MB0AI companies gathering pages or answering a user's question, and saying so.
Likely people2175.0%14 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Unclear1904.4%1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools621.4%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools461.1%<1 MB4Commercial tools that sell data about websites.
App link sweepers60.1%<1 MB0Touches only login, app or embed links and no actual content.
Possibly people40.1%<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
ClaudeBotAI crawlers236
PetalBotSearch engines147
GooglebotSearch engines64
ExaSearchBotOther named bots48
OAI-SearchBotAI crawlers36
bingbotSearch engines35
GPTBotAI crawlers28
ibou-searchOther named bots28
SeznamBotSearch engines27
sunrisetranscription.comOther named bots26
ElevenlabsCrawlerOther named bots26
Amzn-SearchBotSearch engines24
leakix.netOther named bots24
RiverBotOther named bots23
BarkrowlerSEO and marketing tools21

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/35
/faq/6
/about/4
/sitemap/2
/music/2

How people arrived

Referring siteHuman visitors
m.baidu.com2
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
192.42.0.0/1615426
148.135.0.0/16561
216.9.0.0/16301
5.102.0.0/16292
185.220.0.0/16288
43.157.0.0/162015
43.153.0.0/161913
186.53.0.0/16191

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 240002002100.0%
Oct 255566132141323889%
Oct 26221211232771554096%
Oct 272259220751537395%
Oct 2822118130171829789%
Oct 2922985319718691%
Oct 30111158919322997%
Oct 313368118311424090%
Nov 11111941503313266986%
Nov 255107146661034991%
Nov 344741062001240594%
Nov 422699658122798%
Nov 5111137893064353681%
Nov 6442320976580%

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 13 log files.