Bot traffic: ofchours.com

all sites · all domains · last 15 days

All sites · All Domains · Visit ofchours.com

Who is really visiting ofchours.com?

Between Oct 23 and Nov 6, ofchours.com received 6,580 requests. About 98% came from automated software and about 0.6% look like real people.

That works out to about 19 human visitors, roughly 1 a day, who opened 22 pages between them. 3 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 25, with 1,546 requests, of which 0 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
19human visitors (estimate)
22pages opened by people
6,580total requests, 15 days

Where the requests came from

People 0.6%Named bots 13%Disguised bots 12%Scanners 73%Unclear 1.9%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
05001,0001,5002,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

01234Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 6,580ShareData sentBlockedby the serverWhat this means
Break-in scanners3,20949%<1 MB12Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers1,57224%1 MB3Other requests from an address also caught probing for weak spots.
Disguised scrapers71211%3 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.
AI crawlers3285.0%<1 MB8AI companies gathering pages or answering a user's question, and saying so.
Other named bots2754.2%<1 MB2Any other software that identifies itself as a bot.
Search engines2213.4%<1 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear1261.9%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools681.0%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools320.5%<1 MB21Commercial tools that sell data about websites.
Likely people320.5%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people50.1%<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.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers184
PetalBotSearch engines103
GooglebotSearch engines50
ElevenlabsCrawlerOther named bots39
GPTBotAI crawlers31
User-Agent:MozillaOther named bots30
OAI-SearchBotAI crawlers22
bingbotSearch engines21
SeznamBotSearch engines16
CensysInspectOther named bots15
Amzn-SearchBotSearch engines14
ru-linkindexOther named bots13
SemrushBotSEO and marketing tools12
RiverBotOther named bots11
AmazonbotAI crawlers10

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/18

How people arrived

Referring siteHuman visitors
www.google.com3
m.baidu.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
192.42.0.0/165118
112.45.0.0/162118
223.106.0.0/162019
169.40.0.0/16185
5.102.0.0/16182
185.220.0.0/16155
170.106.0.0/161515
43.130.0.0/161413

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23228974284945997%
Oct 24331669454855198%
Oct 250044351,46161,54699.6%
Oct 26006575102624898%
Oct 27225774249438898%
Oct 28336947581919987%
Oct 2935594935415592%
Oct 30006551603972899%
Oct 31115643235333999%
Nov 1007448297542499%
Nov 22231442131130395%
Nov 300146474711167598%
Nov 42242451332124490%
Nov 5003344178425998%
Nov 6221035866285%

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.