Bot traffic: coworkingcamp.com

all sites · all domains · last 15 days

All sites · All Domains · Visit coworkingcamp.com

Who is really visiting coworkingcamp.com?

Between Oct 23 and Nov 6, coworkingcamp.com received 43,179 requests. About 99.5% came from automated software and about 0.2% look like real people.

That works out to about 37 human visitors, roughly 2 a day, who opened 63 pages between them. 22 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.

99.5%of requests from bots
37human visitors (estimate)
63pages opened by people
43,179total requests, 15 days

Where the requests came from

People 0.2%Named bots 9.3%Disguised bots 7.3%Scanners 83%Unclear 0.3%

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.

02468Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 43,179ShareData sentBlockedby the serverWhat this means
Break-in scanners26,75962%36 MB13,499Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers9,02821%36 MB49Other requests from an address also caught probing for weak spots.
Disguised scrapers2,1044.9%15 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 crawlers1,6443.8%2 MB104AI companies gathering pages or answering a user's question, and saying so.
Scripts and tools1,0552.4%2 MB7Programs such as curl or Python, or anything with an unrecognizable name.
Search engines1,0502.4%3 MB12Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots1,0452.4%3 MB20Any other software that identifies itself as a bot.
SEO and marketing tools2720.6%<1 MB154Commercial tools that sell data about websites.
Unclear1180.3%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people540.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people460.1%<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 given30.0%<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
GooglebotSearch engines382
ClaudeBotAI crawlers289
PetalBotSearch engines206
OAI-SearchBotAI crawlers186
bingbotSearch engines150
MJ12botSEO and marketing tools129
GPTBotAI crawlers117
Claude-SearchBotAI crawlers89
Perplexity-UserAI crawlers87
BytespiderAI crawlers85
AmazonbotAI crawlers84
cohere-aiAI crawlers84
Kimi-SearchBotOther named bots84
MoonshotBotOther named bots79
DuckAssistBotOther named bots79

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/22
/about/2

How people arrived

Referring siteHuman visitors
m.baidu.com18
www.google.com6
www.reddit.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
192.42.0.0/1616342
103.4.0.0/16635
158.69.0.0/16562
66.249.0.0/16443
183.207.0.0/16384
49.12.0.0/16371
103.196.0.0/16292
104.164.0.0/16284

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23234111691,93572,52699.6%
Oct 2447842531,29251,64199.3%
Oct 25002661092,618133,00699.6%
Oct 26123201745,49876,00199.9%
Oct 27361092543,52283,89999.6%
Oct 28111341481,77072,06099.6%
Oct 292478170490274499.2%
Oct 30115781252,13992,85299.6%
Oct 3136711581,61771,86499.0%
Nov 16136221,0722,757124,50299%
Nov 2225691014,83255,51099.9%
Nov 36895981,89182,10299.1%
Nov 4231281551,316201,62299%
Nov 5342281102,03952,38799.6%
Nov 623318672,07132,46399.7%

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.