Bot traffic: lodge.austinspring.com

all sites · all domains · last 15 days

All sites · All Domains · Visit lodge.austinspring.com

Who is really visiting lodge.austinspring.com?

Between Oct 23 and Nov 6, lodge.austinspring.com received 1,706 requests. About 80% came from automated software and about 15% look like real people.

That works out to about 30 human visitors, roughly 2 a day, who opened 35 pages between them. 5 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.

The busiest day was Nov 2, with 307 requests, of which 71 came from people.

80%of requests from bots
30human visitors (estimate)
35pages opened by people
1,706total requests, 15 days

Where the requests came from

People 15%Named bots 26%Disguised bots 12%Scanners 42%Unclear 4.3%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0100200300400Oct 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 1,706ShareData sentBlockedby the serverWhat this means
Break-in scanners53331%<1 MB445Probing for WordPress logins, password files and other common weak spots.
Likely people25315%4 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Other named bots24414%22 MB2Any other software that identifies itself as a bot.
Scanners posing as browsers19011%<1 MB4Other requests from an address also caught probing for weak spots.
Disguised scrapers17910%5 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.
Search engines1448.4%10 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear734.3%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
AI crawlers452.6%<1 MB0AI companies gathering pages or answering a user's question, and saying so.
Scripts and tools251.5%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools120.7%<1 MB0Commercial tools that sell data about websites.
Possibly people80.5%9 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
meta-webindexerOther named bots79
PetalBotSearch engines66
MSIE 10.0Other named bots58
GPTBotAI crawlers28
bingbotSearch engines25
facebook.comOther named bots20
OAI-SearchBotAI crawlers17
GooglebotSearch engines16
RiverBotOther named bots12
StripebotOther named bots10
sogou.comSearch engines9
CensysInspectOther named bots9
ApplebotSearch engines9
Baiduspider-renderSearch engines9
ru-linkindexOther named bots8

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/28

How people arrived

Referring siteHuman visitors
www.google.com4
m.baidu.com2

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23112429117218293%
Oct 2411116312291%
Oct 25002810114098%
Oct 2699912117221464%
Oct 2711348034691%
Oct 2811228014173%
Oct 29002140234852%
Oct 30112925123420487%
Oct 310022130035100.0%
Nov 10053130218776%
Nov 2883810186230776%
Nov 3448416175928895%
Nov 4113820016097%
Nov 5561611028930%
Nov 6221619114384%

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 15 log files.