Bot traffic: austinhangout.com

all sites · all domains · last 15 days

All sites · All Domains · Visit austinhangout.com

Who is really visiting austinhangout.com?

Between Oct 23 and Nov 6, austinhangout.com received 84,044 requests. About 99.5% came from automated software and about 0.2% look like real people.

That works out to about 64 human visitors, roughly 4 a day, who opened 94 pages between them. 26 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.

99.5%of requests from bots
64human visitors (estimate)
94pages opened by people
84,044total requests, 15 days

Where the requests came from

People 0.2%Named bots 4.7%Disguised bots 5.7%Scanners 89%Unclear 0.3%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
03,1256,2509,37512,500Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

036912Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 84,044ShareData sentBlockedby the serverWhat this means
Break-in scanners57,94169%4 MB34,638Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers16,96720%45 MB264Other requests from an address also caught probing for weak spots.
Disguised scrapers2,6053.1%21 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.
Scripts and tools2,1702.6%10 MB3Programs such as curl or Python, or anything with an unrecognizable name.
Search engines1,5901.9%7 MB5Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers1,2231.5%3 MB51AI companies gathering pages or answering a user's question, and saying so.
Other named bots9841.2%4 MB11Any other software that identifies itself as a bot.
Unclear2430.3%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools1820.2%<1 MB124Commercial tools that sell data about websites.
Likely people870.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people490.1%<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.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines522
GooglebotSearch engines415
ClaudeBotAI crawlers364
ApplebotSearch engines215
OAI-SearchBotAI crawlers159
BaiduspiderSearch engines157
SemrushBotSEO and marketing tools110
ChatGPT-UserAI crawlers90
bingbotSearch engines86
SeznamBotSearch engines80
ExaSearchBotOther named bots69
PerplexityBotAI crawlers64
support.anthropic.comAI crawlers55
GPTBotAI crawlers54
RiverBotOther named bots51

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/45
/live/6
/events/3

How people arrived

Referring siteHuman visitors
m.baidu.com20
www.google.com4
austintweet.com4
www.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
47.82.0.0/16388185
192.42.0.0/1615352
47.79.0.0/1611657
5.102.0.0/16513
112.45.0.0/164519
104.164.0.0/164315
223.106.0.0/163920
102.129.0.0/16301

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23682552236,126196,63999.5%
Oct 24352042525,506115,97899.7%
Oct 256128032259,2241310,28399.7%
Oct 2611152412415,288105,80499.4%
Oct 27461784076,889127,49399.7%
Oct 28222431744,701165,13699.6%
Oct 29571653655,304145,85799.6%
Oct 30341381716,153326,50199.4%
Oct 31571401662,573132,90199.2%
Nov 1355471,2084,023175,80199.6%
Nov 2222841967,020117,51599.8%
Nov 3351341594,384284,71199.3%
Nov 4673164881,888132,71699.1%
Nov 5462133522,952143,54099.4%
Nov 6231181512,877203,16999.3%

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.