Bot traffic: coworkingretreat.com

all sites · all domains · last 15 days

All sites · All Domains · Visit coworkingretreat.com

Who is really visiting coworkingretreat.com?

Between Oct 23 and Nov 6, coworkingretreat.com received 34,248 requests. About 99% came from automated software and about 0.6% look like real people.

That works out to about 167 human visitors, roughly 11 a day, who opened 209 pages between them. 24 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
167human visitors (estimate)
209pages opened by people
34,248total requests, 15 days

Where the requests came from

People 0.6%Named bots 10%Disguised bots 8.1%Scanners 81%Unclear 0.4%

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.

010203040Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 34,248ShareData sentBlockedby the serverWhat this means
Break-in scanners21,18562%33 MB9,015Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers6,43919%28 MB22Other requests from an address also caught probing for weak spots.
Disguised scrapers2,0846.1%17 MB3Claims 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 crawlers1,3433.9%2 MB106AI companies gathering pages or answering a user's question, and saying so.
Other named bots1,0383.0%4 MB20Any other software that identifies itself as a bot.
Search engines9602.8%4 MB17Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
No name given4051.2%3 MB5Requests that give no software name at all.
Scripts and tools2930.9%1 MB3Programs such as curl or Python, or anything with an unrecognizable name.
Possibly people1720.5%2 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.
SEO and marketing tools1410.4%<1 MB57Commercial tools that sell data about websites.
Unclear1370.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people500.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
App link sweepers10.0%<1 MB1Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
GooglebotSearch engines320
ClaudeBotAI crawlers286
PetalBotSearch engines215
bingbotSearch engines164
OAI-SearchBotAI crawlers138
GPTBotAI crawlers90
cohere-aiAI crawlers75
claudebotAI crawlers73
BytespiderAI crawlers67
ApplebotSearch engines67
PerplexityBotAI crawlers65
GrokBotAI crawlers64
HunyuanOther named bots62
Perplexity-UserAI crawlers62
QwenbotOther named bots61

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/157
/about/6
/faq/4
/history/4
/rss-api4
/news/2

How people arrived

Referring siteHuman visitors
wordpressretreat.com70
videoretreat.com64
m.baidu.com17
www.reddit.com1
www.google.com1
www.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
192.42.0.0/1612027
45.138.0.0/161205
154.28.0.0/16903
102.129.0.0/16752
158.69.0.0/16632
66.249.0.0/16503
185.220.0.0/163411
204.8.0.0/16334

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2351632614797861,47598%
Oct 2437396115076361,01996%
Oct 25331821501,554101,89999.3%
Oct 2617271811844,95685,35899.3%
Oct 2729321401961,973122,35398%
Oct 2821221481881,953162,32898%
Oct 29252611247887581,49998%
Oct 30995041591,08271,76199.1%
Oct 316899851,00431,19999.1%
Nov 1577873682,888124,06399.5%
Nov 2113612173,058103,64799.7%
Nov 3351301143,31573,57399.6%
Nov 4672641671,215161,67298%
Nov 5341101151,18261,41899.2%
Nov 62377658281098499%

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.