Bot traffic: coworkingcoalition.com

all sites · all domains · last 15 days

All sites · All Domains · Visit coworkingcoalition.com

Who is really visiting coworkingcoalition.com?

Between Oct 23 and Nov 6, coworkingcoalition.com received 30,069 requests. About 99.4% came from automated software and about 0.2% look like real people.

That works out to about 33 human visitors, roughly 2 a day, who opened 56 pages between them. 23 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.

99.4%of requests from bots
33human visitors (estimate)
56pages opened by people
30,069total requests, 15 days

Where the requests came from

People 0.2%Named bots 10%Disguised bots 8.6%Scanners 81%Unclear 0.4%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,2502,5003,7505,000Oct 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 30,069ShareData sentBlockedby the serverWhat this means
Break-in scanners16,53755%29 MB5,770Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers7,69526%32 MB46Other requests from an address also caught probing for weak spots.
Disguised scrapers2,3067.7%19 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 crawlers1,1463.8%2 MB67AI companies gathering pages or answering a user's question, and saying so.
Search engines9273.1%4 MB13Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots8782.9%3 MB12Any other software that identifies itself as a bot.
Scripts and tools2740.9%1 MB2Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools1150.4%<1 MB46Commercial tools that sell data about websites.
Unclear1100.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people450.1%<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.
Likely people270.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
No name given90.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
GooglebotSearch engines343
ClaudeBotAI crawlers288
PetalBotSearch engines212
bingbotSearch engines151
OAI-SearchBotAI crawlers124
GPTBotAI crawlers93
BytespiderAI crawlers65
BravebotOther named bots56
ibou-searchOther named bots54
AmazonbotAI crawlers51
cohere-aiAI crawlers51
OAI-AdsBotSearch engines50
CCBotAI crawlers50
HunyuanOther named bots49
Meta-WebIndexerOther named bots49

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/22
/about/3

How people arrived

Referring siteHuman visitors
m.baidu.com21
www.google.com2
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
45.138.0.0/162276
192.42.0.0/1618141
102.129.0.0/16791
185.220.0.0/164713
43.157.0.0/163517
45.152.0.0/16321
204.8.0.0/16304
103.4.0.0/16303

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 231284125372458799%
Oct 2424107186631393199.2%
Oct 25003111562,96383,43899.8%
Oct 26241182734,18974,59199.8%
Oct 27361222741,00571,41499.1%
Oct 28341521651,34281,67299.2%
Oct 292470137637285099.3%
Oct 30111041245231076299%
Oct 314753103751292598%
Nov 1357703062,099123,19399.4%
Nov 2223632412,75273,36599.7%
Nov 3581141302,510172,78399%
Nov 4235471301,546112,23799.4%
Nov 523781311,57361,79299.4%
Nov 623731081,33961,52999.4%

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.