Bot traffic: americancoworking.com

all sites · all domains · last 15 days

All sites · All Domains · Visit americancoworking.com

Who is really visiting americancoworking.com?

Between Oct 23 and Nov 6, americancoworking.com received 66,472 requests. About 99.6% came from automated software and about 0.2% look like real people.

That works out to about 71 human visitors, roughly 5 a day, who opened 93 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.

99.6%of requests from bots
71human visitors (estimate)
93pages opened by people
66,472total requests, 15 days

Where the requests came from

People 0.2%Named bots 5.4%Disguised bots 5.4%Scanners 89%Unclear 0.2%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02,5005,0007,50010,000Oct 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 66,472ShareData sentBlockedby the serverWhat this means
Break-in scanners50,59676%78 MB28,968Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers8,41613%44 MB30Other requests from an address also caught probing for weak spots.
Disguised scrapers2,4313.7%25 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 crawlers1,2881.9%2 MB54AI companies gathering pages or answering a user's question, and saying so.
Search engines1,1231.7%5 MB7Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Scripts and tools1,1201.7%3 MB4Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots1,0231.5%5 MB28Any other software that identifies itself as a bot.
SEO and marketing tools1840.3%<1 MB111Commercial tools that sell data about websites.
Unclear1650.2%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people850.1%<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 given220.0%<1 MB0Requests that give no software name at all.
Likely people180.0%<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 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
GooglebotSearch engines403
ClaudeBotAI crawlers355
PetalBotSearch engines283
bingbotSearch engines179
OAI-SearchBotAI crawlers165
GPTBotAI crawlers93
PerplexityBotAI crawlers62
Kimi-SearchBotOther named bots61
ApplebotSearch engines59
HunyuanOther named bots58
ibou-searchOther named bots57
AwarioBotSEO and marketing tools57
YouBotAI crawlers55
cohere-aiAI crawlers55
QlyzeBotOther named bots55

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/56

How people arrived

Referring siteHuman visitors
coworkingretreat.com38
m.baidu.com19
www.google.com9

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
192.42.0.0/1624150
66.249.0.0/16763
158.69.0.0/16753
102.129.0.0/16581
103.196.0.0/16505
104.164.0.0/16464
185.220.0.0/164513
173.46.0.0/16384

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23231281783,346183,67399.4%
Oct 2411121362883,48083,92499.5%
Oct 25115841226,01066,72399.9%
Oct 26681002035,06955,38699.7%
Oct 279122642683,73074,28299.5%
Oct 2810102061606,593146,98399.7%
Oct 2911131051672,29652,58799.3%
Oct 3033971956,239126,54699.8%
Oct 314787912,29542,48999.4%
Nov 1354541,1702,838104,47799.7%
Nov 2352861717,78798,25899.8%
Nov 3352521244,24174,63099.7%
Nov 4235931611,936192,71299.2%
Nov 5232531871,573132,03099.2%
Nov 62373891,579281,77298%

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.