Bot traffic: coworkingcongress.com

all sites · all domains · last 15 days

All sites · All Domains · Visit coworkingcongress.com

Who is really visiting coworkingcongress.com?

Between Oct 23 and Nov 6, coworkingcongress.com received 47,916 requests. About 99.1% came from automated software and about 0.2% look like real people.

That works out to about 44 human visitors, roughly 3 a day, who opened 89 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.

99.1%of requests from bots
44human visitors (estimate)
89pages opened by people
47,916total requests, 15 days

Where the requests came from

People 0.2%Named bots 11%Disguised bots 6.1%Scanners 83%Unclear 0.6%

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.

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

The breakdown

SourceRequestsΣ 47,916ShareData sentBlockedby the serverWhat this means
Break-in scanners32,01867%60 MB16,672Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers7,51716%30 MB29Other requests from an address also caught probing for weak spots.
Disguised scrapers2,5355.3%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.
Other named bots2,0444.3%10 MB20Any other software that identifies itself as a bot.
AI crawlers1,6083.4%2 MB88AI companies gathering pages or answering a user's question, and saying so.
Search engines1,2712.7%4 MB7Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Scripts and tools3890.8%1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear2990.6%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools1180.2%<1 MB61Commercial tools that sell data about websites.
Likely people650.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people490.1%<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.

Named bots

Botas it names itselfTypeRequests
ElevenlabsCrawlerOther named bots760
PetalBotSearch engines396
GooglebotSearch engines382
ClaudeBotAI crawlers288
OAI-SearchBotAI crawlers197
MSIE 5.01Other named bots183
bingbotSearch engines149
GPTBotAI crawlers142
OAI-AdsBotSearch engines98
ApplebotSearch engines81
ChatGPT-UserAI crawlers81
QwenbotOther named bots80
Kimi-SearchBotOther named bots79
Perplexity-UserAI crawlers77
AmazonbotAI crawlers77

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/33
/rss-api2
/history/2
/faq/2
/resources/2

How people arrived

Referring siteHuman visitors
m.baidu.com21
www.google.com6
www.bing.com2
www.reddit.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
192.42.0.0/1614439
102.129.0.0/161211
66.249.0.0/169513
43.157.0.0/165221
43.173.0.0/164038
185.220.0.0/163913
43.130.0.0/163924
170.106.0.0/163419

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23125041311,695202,35299.1%
Oct 245141093101,66152,10299%
Oct 25002601112,51172,88999.8%
Oct 26462632325,079125,59299.7%
Oct 277161702872,765203,25999%
Oct 28341141894,486134,80799.6%
Oct 29351382132,048162,42199.1%
Oct 30347781833,306154,28699.6%
Oct 316103111711,935192,46098%
Nov 1368042023,085494,14799%
Nov 2688701743,510244,58999.2%
Nov 3241092063,624183,96199.4%
Nov 4353822271,154201,78999%
Nov 5231291591,219191,52999%
Nov 6121001321,457421,73397%

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.