Bot traffic: atxnews.club

all sites · all domains · last 15 days

All sites · All Domains · Visit atxnews.club

Who is really visiting atxnews.club?

Between Oct 23 and Nov 6, atxnews.club received 58,391 requests. About 98% came from automated software and about 1.0% look like real people.

That works out to about 222 human visitors, roughly 15 a day, who opened 262 pages between them. 37 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
222human visitors (estimate)
262pages opened by people
58,391total requests, 15 days

Where the requests came from

People 1.0%Named bots 9.2%Disguised bots 8.6%Scanners 80%Unclear 0.7%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02,0004,0006,0008,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

06121824Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 58,391ShareData sentBlockedby the serverWhat this means
Break-in scanners37,77165%72 MB24,283Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers9,19816%43 MB141Other requests from an address also caught probing for weak spots.
Disguised scrapers4,3067.4%30 MB4Claims 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 engines2,0943.6%16 MB9Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots1,5442.6%10 MB56Any other software that identifies itself as a bot.
AI crawlers1,3012.2%7 MB76AI companies gathering pages or answering a user's question, and saying so.
Scripts and tools7351.3%16 MB2Programs such as curl or Python, or anything with an unrecognizable name.
Likely people5100.9%18 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools4540.8%2 MB104Commercial tools that sell data about websites.
Unclear4190.7%7 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people570.1%<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 given20.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines1,145
ClaudeBotAI crawlers460
GooglebotSearch engines359
QlyzeBotOther named bots291
serpstatbotSEO and marketing tools278
Amzn-SearchBotSearch engines186
OAI-SearchBotAI crawlers186
RiverBotOther named bots152
bingbotSearch engines119
ReconX-L2SOther named bots104
BacklinksExtendedBotOther named bots103
SemrushBotSEO and marketing tools102
ApplebotSearch engines98
GPTBotAI crawlers85
ibou-searchOther named bots83

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/live/127
/68
/resources/5
/faq/3
/sources/2
/history/2
/kb/2

How people arrived

Referring siteHuman visitors
m.baidu.com18
www.google.com13
austintweet.com2
austinhangout.com1
www.google.club1

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
47.82.0.0/16250236
192.42.0.0/1624549
158.69.0.0/161471
102.129.0.0/161163
5.102.0.0/16923
47.79.0.0/167974
158.173.0.0/16703
185.220.0.0/166821

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2321255346112,763353,98298%
Oct 2413151584823,585184,26999%
Oct 25992272034,546195,01399.3%
Oct 2619225952453,298214,21198%
Oct 2716182103594,897245,52299%
Oct 2817172691954,372174,89299%
Oct 2912131603602,395342,97398%
Oct 3019207121976,758347,76099%
Oct 3114184401982,148182,83398%
Nov 115184145271,586312,59997%
Nov 214144471862,766123,44099%
Nov 323261882582,925633,50796%
Nov 411133586401,579162,61898%
Nov 512165114572,301113,30799%
Nov 615181701251,050661,46592%

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 22:43 UTC from 15 log files.