Bot traffic: toscagruber.com

all sites · all domains · last 15 days

All sites · All Domains · Visit toscagruber.com

Who is really visiting toscagruber.com?

Between Oct 24 and Nov 6, toscagruber.com received 4,445 requests. About 91% came from automated software and about 6.5% look like real people.

That works out to about 45 human visitors, roughly 3 a day, who opened 48 pages between them. 3 of them read more than one page.

The biggest source is software pretending to be ordinary web browsers. It usually comes from thousands of rotating addresses to avoid being blocked, and it takes content without sending any readers back.

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.

91%of requests from bots
45human visitors (estimate)
48pages opened by people
4,445total requests, 14 days

Where the requests came from

People 6.5%Named bots 27%Disguised bots 44%Scanners 19%Unclear 2.8%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0150300450600Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

Human visitors per day

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

036912Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

The breakdown

SourceRequestsΣ 4,445ShareData sentBlockedby the serverWhat this means
Disguised scrapers1,88342%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.
Break-in scanners57813%<1 MB267Probing for WordPress logins, password files and other common weak spots.
Other named bots48211%8 MB4Any other software that identifies itself as a bot.
Search engines4179.4%36 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Likely people2876.5%16 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scanners posing as browsers2816.3%<1 MB0Other requests from an address also caught probing for weak spots.
AI crawlers2054.6%<1 MB0AI companies gathering pages or answering a user's question, and saying so.
Unclear1252.8%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools1062.4%<1 MB1Commercial tools that sell data about websites.
Scripts and tools691.6%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
App link sweepers60.1%<1 MB0Touches only login, app or embed links and no actual content.
Possibly people40.1%<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 given20.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines134
GooglebotSearch engines105
SeznamBotSearch engines101
GPTBotAI crawlers91
ibou-searchOther named bots91
BarkrowlerSEO and marketing tools77
ExaSearchBotOther named bots54
Amzn-SearchBotSearch engines49
meta-webindexerOther named bots47
YouBotAI crawlers47
OAI-SearchBotAI crawlers35
ClaudeBotAI crawlers32
CensysInspectOther named bots29
SERankingBacklinksBotSEO and marketing tools28
QlyzeBotOther named bots27

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/17
/sources/3
/neighborhoods/west-lake-hills/2
/insights/executive-relocation-to-austin/2
/about/2
/insights/lake-austin-or-lake-travis/2
/neighborhoods/2
/insights/preparing-a-westlake-listing/2
/neighborhoods/lake-austin/2
/services/2

How people arrived

Referring siteHuman visitors
www.google.com3
m.baidu.com2

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
148.135.0.0/161471
192.42.0.0/169111
5.102.0.0/16672
104.28.0.0/16636
43.130.0.0/163822
43.157.0.0/163518
195.87.0.0/16341
170.106.0.0/163122

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 24001111475%
Oct 251142228141229995%
Oct 261212125174752346181%
Oct 27664013461225991%
Oct 280011110923224599.2%
Oct 292212710414526194%
Oct 305510716668638888%
Oct 31339010412421994%
Nov 1111361561231042697%
Nov 211711741101738492%
Nov 323891992721059295%
Nov 4558517462834394%
Nov 52213115914533092%
Nov 6775578102023461%

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 13 log files.