Bot traffic: robotnewsnow.com

all sites · all domains · last 15 days

All sites · All Domains · Visit robotnewsnow.com

Who is really visiting robotnewsnow.com?

Between Oct 23 and Nov 6, robotnewsnow.com received 25,964 requests. About 99% came from automated software and about 0.7% look like real people.

That works out to about 67 human visitors, roughly 4 a day, who opened 137 pages between them. 42 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 3, with 5,358 requests, of which 12 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.

99%of requests from bots
67human visitors (estimate)
137pages opened by people
25,964total requests, 15 days

Where the requests came from

People 0.7%Named bots 9.9%Disguised bots 15%Scanners 74%Unclear 0.7%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,5003,0004,5006,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

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

The breakdown

SourceRequestsΣ 25,964ShareData sentBlockedby the serverWhat this means
Break-in scanners15,74361%15 MB10,640Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers3,51314%12 MB24Other requests from an address also caught probing for weak spots.
Disguised scrapers2,66310%21 MB1Claims 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 tools1,1084.3%3 MB7Programs such as curl or Python, or anything with an unrecognizable name.
AI crawlers8253.2%2 MB32AI companies gathering pages or answering a user's question, and saying so.
Search engines8153.1%4 MB1Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots6332.4%3 MB12Any other software that identifies itself as a bot.
SEO and marketing tools2891.1%1 MB60Commercial tools that sell data about websites.
Unclear1940.7%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1110.4%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people670.3%<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.
No name given20.0%<1 MB0Requests that give no software name at all.
App link sweepers10.0%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers288
PetalBotSearch engines258
bingbotSearch engines212
OAI-SearchBotAI crawlers202
serpstatbotSEO and marketing tools179
GooglebotSearch engines158
QlyzeBotOther named bots103
Amzn-SearchBotSearch engines57
SemrushBotSEO and marketing tools56
GPTBotAI crawlers54
leakix.netOther named bots48
ApplebotSearch engines46
SeznamBotSearch engines38
ChatGPT-UserAI crawlers36
BytespiderAI crawlers32

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/33
/videos/8
/robots/deployments/6
/sources/4
/news/4
/store/3
/robots/3
/about/3
/store/picker/2
/faq/2
/about.html2
/guide/coding-robots-for-kids-2026/2

How people arrived

Referring siteHuman visitors
www.google.com21
m.baidu.com16
www.bing.com1
cn.bing.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
34.44.0.0/162001
158.69.0.0/161541
66.249.0.0/1614610
102.129.0.0/161081
192.42.0.0/1610030
103.4.0.0/16553
172.184.0.0/16451
43.173.0.0/164440

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 237143211591,430121,94198%
Oct 2424125215560691099%
Oct 25002341241,195111,56499.3%
Oct 2657199233622181,08397%
Oct 27242062314231688098%
Oct 2856287139272971598%
Oct 29621832274201376795%
Oct 3044881882,164152,46299.1%
Oct 319188816272691,00897%
Nov 1582601,2221,316112,81799.3%
Nov 2571591251,642151,95199%
Nov 36101321575,037205,35899.4%
Nov 49231511902561864892%
Nov 546145971,476101,73599.0%
Nov 635843051,717112,12599.1%

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.