Bot traffic: videoretreat.com

all sites · all domains · last 15 days

All sites · All Domains · Visit videoretreat.com

Who is really visiting videoretreat.com?

Between Oct 23 and Nov 6, videoretreat.com received 38,394 requests. About 99% came from automated software and about 0.7% look like real people.

That works out to about 172 human visitors, roughly 11 a day, who opened 212 pages between them. 30 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.

99%of requests from bots
172human visitors (estimate)
212pages opened by people
38,394total requests, 15 days

Where the requests came from

People 0.7%Named bots 9.5%Disguised bots 6.1%Scanners 83%Unclear 0.4%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02,0004,0006,0008,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

09182736Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 38,394ShareData sentBlockedby the serverWhat this means
Break-in scanners27,89873%35 MB18,309Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers4,11211%18 MB31Other requests from an address also caught probing for weak spots.
Disguised scrapers1,9175.0%16 MB4Claims 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 crawlers1,3873.6%2 MB87AI companies gathering pages or answering a user's question, and saying so.
Other named bots1,0872.8%4 MB20Any other software that identifies itself as a bot.
Search engines9902.6%3 MB8Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Scripts and tools4201.1%2 MB2Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools1680.4%<1 MB49Commercial tools that sell data about websites.
Unclear1560.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people1560.4%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 people980.3%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Automated browsers50.0%<1 MB0Loads images like a browser, but too fast for a person or with a faked browser name.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers336
PetalBotSearch engines290
GooglebotSearch engines245
bingbotSearch engines185
OAI-SearchBotAI crawlers146
GPTBotAI crawlers96
ChatGPT-UserAI crawlers82
claudebotAI crawlers71
YouBotAI crawlers68
ApplebotSearch engines63
BytespiderAI crawlers62
BaiduspiderSearch engines62
PerplexityBotAI crawlers60
Perplexity-UserAI crawlers59
DeepSeekBotAI crawlers57

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/153
/about/4
/resources/4
/news/4
/rss-api4
/sources/4
/videos.html3
/videos/2

How people arrived

Referring siteHuman visitors
wordpressretreat.com67
coworkingretreat.com49
m.baidu.com20
www.google.com1
duckduckgo.com1
www.facebook.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
66.249.0.0/161233
192.42.0.0/1610624
52.24.0.0/16621
102.129.0.0/16591
93.123.0.0/16561
158.69.0.0/16552
103.4.0.0/16353
49.51.0.0/162812

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23452291151,10761,46399.2%
Oct 2435371132461,36261,76598%
Oct 258111451011,03771,30498%
Oct 261113112149527780997%
Oct 2726282421762,14682,60299%
Oct 2821211421454,26564,58099.4%
Oct 292123961461,329131,60898%
Oct 30882101152,24872,59099.3%
Oct 3157205110828111,16298%
Nov 117236363561,927142,96898%
Nov 222221972,91283,24299.6%
Nov 3691261502,844173,15199.0%
Nov 411194542545,587156,33799.3%
Nov 5233811152,154122,66699.4%
Nov 623320671,737192,14799%

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 22:43 UTC from 15 log files.