Bot traffic: austenfirth.com

all sites · all domains · last 15 days

All sites · All Domains · Visit austenfirth.com

Who is really visiting austenfirth.com?

Between Oct 23 and Nov 6, austenfirth.com received 14,941 requests. About 98% came from automated software and about 0.4% look like real people.

That works out to about 30 human visitors, roughly 2 a day, who opened 53 pages between them. 23 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 Oct 30, with 3,145 requests, of which 2 came from people.

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
30human visitors (estimate)
53pages opened by people
14,941total requests, 15 days

Where the requests came from

People 0.4%Named bots 13%Disguised bots 21%Scanners 65%Unclear 1.1%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,0002,0003,0004,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

02468Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 14,941ShareData sentBlockedby the serverWhat this means
Break-in scanners7,70152%10 MB1,816Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers2,05314%17 MB7Claims 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.
Scanners posing as browsers2,05114%7 MB9Other requests from an address also caught probing for weak spots.
Scripts and tools1,0196.8%2 MB5Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots7204.8%4 MB3Any other software that identifies itself as a bot.
Search engines6184.1%3 MB2Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers4252.8%<1 MB20AI companies gathering pages or answering a user's question, and saying so.
Unclear1631.1%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools1210.8%<1 MB59Commercial tools that sell data about websites.
Possibly people400.3%<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.
Likely people240.2%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
No name given50.0%<1 MB0Requests that give no software name at all.
App link sweepers10.0%<1 MB1Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines275
ClaudeBotAI crawlers198
bingbotSearch engines119
GooglebotSearch engines93
OAI-SearchBotAI crawlers79
QlyzeBotOther named bots68
SemrushBotSEO and marketing tools54
ibou-searchOther named bots54
GPTBotAI crawlers49
leakix.netOther named bots48
facebook.comOther named bots45
SeznamBotSearch engines38
Amzn-SearchBotSearch engines35
SERankingBacklinksBotSEO and marketing tools35
sunrisetranscription.comOther named bots33

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/17

How people arrived

Referring siteHuman visitors
m.baidu.com20
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
192.42.0.0/1619133
158.69.0.0/16662
185.220.0.0/166012
66.249.0.0/16543
103.4.0.0/16374
43.157.0.0/163116
5.102.0.0/16253
104.164.0.0/16233

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2312264104505788299%
Oct 242466196405567699%
Oct 2512107143601132496%
Oct 2624132160145344498%
Oct 2724124256561245296%
Oct 2822156168652998799%
Oct 294612217613532596%
Oct 3011921312,901193,14599.3%
Oct 3135141113314657998%
Nov 1361861,083978172,27199%
Nov 2111291411,25881,53899.3%
Nov 32475851,13251,30199.3%
Nov 4571301144711874296%
Nov 5231111335173379995%
Nov 6124975345547699%

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 22:42 UTC from 15 log files.