Bot traffic: austinpubliccompanies.wholereach.com

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Who is really visiting austinpubliccompanies.wholereach.com?

Between Oct 23 and Nov 6, austinpubliccompanies.wholereach.com received 1,560 requests. About 97% came from automated software and about 1.4% look like real people.

That works out to about 17 human visitors, roughly 1 a day, who opened 18 pages between them. 1 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.

97%of requests from bots

17human visitors (estimate)

18pages opened by people

1,560total requests, 15 days

Where the requests came from

People 1.4%Named bots 25%Disguised bots 11%Scanners 60%Unclear 1.6%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear

Human visitors per day

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

The breakdown

Source	RequestsΣ 1,560	Share	Data sent	Blockedby the server	What this means
Break-in scanners	688	44%	<1 MB	8	Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers	250	16%	<1 MB	0	Other requests from an address also caught probing for weak spots.
Disguised scrapers	140	9.0%	<1 MB	2	Claims 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.
Other named bots	114	7.3%	<1 MB	34	Any other software that identifies itself as a bot.
AI crawlers	106	6.8%	<1 MB	0	AI companies gathering pages or answering a user's question, and saying so.
Search engines	102	6.5%	<1 MB	0	Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
SEO and marketing tools	74	4.7%	<1 MB	27	Commercial tools that sell data about websites.
Scripts and tools	39	2.5%	<1 MB	3	Programs such as curl or Python, or anything with an unrecognizable name.
Unclear	25	1.6%	<1 MB	0	Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people	15	1.0%	<1 MB	0	Read 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 people	7	0.4%	<1 MB	0	Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.

Named bots

Botas it names itself	Type	Requests
ElevenlabsCrawler	Other named bots	48
SERankingBacklinksBot	SEO and marketing tools	45
ClaudeBot	AI crawlers	42
OAI-SearchBot	AI crawlers	39
KeenableBot	Other named bots	34
PetalBot	Search engines	29
Applebot	Search engines	23
GPTBot	AI crawlers	22
Googlebot	Search engines	21
SemrushBot-BA	SEO and marketing tools	14
bingbot	Search engines	14
RiverBot	Other named bots	12
SeznamBot	Search engines	8
MJ12bot	SEO and marketing tools	8
Amzn-SearchBot	Search engines	7

What people opened

Pages opened by at least two different human visitors.

Page	Human visitors
/account/signup	2

How people arrived

Referring site	Human visitors
www.google.com	13
m.baidu.com	1

Day by day

Day	Human visitors	Human pages	Named botsrequests	Disguisedrequests	Scannersrequests	Unclearrequests	Allrequests	Bot share
Oct 23	0	0	41	27	91	1	160	99.4%
Oct 24	1	1	61	13	39	2	116	97%
Oct 25	0	0	8	6	1	2	17	88%
Oct 26	1	1	28	27	0	1	58	95%
Oct 27	1	1	13	16	195	2	228	98%
Oct 28	0	0	18	21	9	2	50	96%
Oct 29	0	0	100	9	7	2	118	98%
Oct 30	0	0	9	4	84	1	98	99%
Oct 31	0	0	14	4	2	1	21	95%
Nov 1	0	0	23	5	159	2	189	99%
Nov 2	0	0	14	9	84	1	108	99.1%
Nov 3	6	6	10	16	150	3	185	95%
Nov 4	9	9	16	9	84	2	122	89%
Nov 5	0	0	22	6	0	1	29	97%
Nov 6	0	0	19	7	33	2	61	97%

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.