Bot traffic: austinrepeater.com

all sites · all domains · last 15 days

All sites · All Domains · Visit austinrepeater.com

Who is really visiting austinrepeater.com?

Between Oct 23 and Nov 6, austinrepeater.com received 44,968 requests. About 98% came from automated software and about 1.1% look like real people.

That works out to about 116 human visitors, roughly 8 a day, who opened 189 pages between them. 49 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
116human visitors (estimate)
189pages opened by people
44,968total requests, 15 days

Where the requests came from

People 1.1%Named bots 11%Disguised bots 6.1%Scanners 81%Unclear 0.8%

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.

05101520Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 44,968ShareData sentBlockedby the serverWhat this means
Break-in scanners29,32565%24 MB13,521Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers7,15616%20 MB26Other requests from an address also caught probing for weak spots.
Disguised scrapers2,3845.3%13 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.
AI crawlers1,9914.4%3 MB136AI companies gathering pages or answering a user's question, and saying so.
Search engines1,4423.2%4 MB17Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots1,3403.0%5 MB25Any other software that identifies itself as a bot.
Likely people4401.0%13 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Unclear3720.8%3 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools3390.8%3 MB2Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools1230.3%<1 MB58Commercial tools that sell data about websites.
Possibly people550.1%<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 given10.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines518
ClaudeBotAI crawlers513
GooglebotSearch engines344
OAI-SearchBotAI crawlers198
bingbotSearch engines170
GPTBotAI crawlers129
BytespiderAI crawlers116
ApplebotSearch engines98
Kimi-SearchBotOther named bots95
cohere-aiAI crawlers93
ChatGLM-SpiderOther named bots92
OAI-AdsBotSearch engines92
AmazonbotAI crawlers90
BaiduspiderSearch engines89
QwenbotOther named bots89

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/89
/rss-api9
/news/8
/faq/7
/sitemap/5
/about/5
/sources/2

How people arrived

Referring siteHuman visitors
m.baidu.com21
austintweet.com12
www.google.com2
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
192.42.0.0/1613630
185.220.0.0/165610
43.166.0.0/165323
102.129.0.0/16471
45.156.0.0/164534
43.130.0.0/164019
43.157.0.0/163920
5.102.0.0/16393

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 237111452402,726103,14999%
Oct 24581271982,34972,69699.2%
Oct 254135292095,155215,94299.2%
Oct 26691531963,655144,04599%
Oct 27792542541,095221,63998%
Oct 2820282251461,538572,05793%
Oct 291015135284756201,21996%
Oct 308103831396,649177,20199.6%
Oct 31694261391,227431,86896%
Nov 117281,1102731,850403,36296%
Nov 212132871832,049192,56898%
Nov 3581321282,166282,47298%
Nov 4563471121,506211,99499%
Nov 511163901452,209342,84397%
Nov 646253781,551191,91398%

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.