Bot traffic: wordpressmeetup.com

all sites · all domains · last 15 days

All sites · All Domains · Visit wordpressmeetup.com

Who is really visiting wordpressmeetup.com?

Between Oct 23 and Nov 6, wordpressmeetup.com received 29,688 requests. About 99% came from automated software and about 0.6% look like real people.

That works out to about 119 human visitors, roughly 8 a day, who opened 160 pages between them. 25 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
119human visitors (estimate)
160pages opened by people
29,688total requests, 15 days

Where the requests came from

People 0.6%Named bots 11%Disguised bots 9.5%Scanners 78%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.

06121824Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 29,688ShareData sentBlockedby the serverWhat this means
Break-in scanners18,51562%24 MB8,215Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers4,67816%18 MB8Other requests from an address also caught probing for weak spots.
Disguised scrapers1,8596.3%15 MB7Claims 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 crawlers1,3264.5%2 MB84AI companies gathering pages or answering a user's question, and saying so.
Other named bots1,0813.6%4 MB22Any other software that identifies itself as a bot.
Scripts and tools9633.2%2 MB9Programs such as curl or Python, or anything with an unrecognizable name.
Search engines8192.8%3 MB6Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
SEO and marketing tools1610.5%<1 MB58Commercial tools that sell data about websites.
Possibly people1310.4%<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.
Unclear1090.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people430.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
No name given30.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
GooglebotSearch engines280
ClaudeBotAI crawlers258
PetalBotSearch engines179
OAI-SearchBotAI crawlers122
bingbotSearch engines115
BravebotOther named bots83
ChatGPT-UserAI crawlers82
ApplebotSearch engines75
GPTBotAI crawlers72
BytespiderAI crawlers72
cohere-aiAI crawlers69
Meta-ExternalFetcherAI crawlers69
HunyuanOther named bots68
QlyzeBotOther named bots66
claudebotAI crawlers65

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/109
/news/2
/rss-api2
/videos/2
/faq/2
/history/2

How people arrived

Referring siteHuman visitors
wordpressretreat.com73
m.baidu.com22
merkezkombiteknikservisies.blogspot.com14
www.google.com2

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
192.42.0.0/1610732
102.129.0.0/16691
66.249.0.0/16613
158.69.0.0/16562
173.46.0.0/16414
103.4.0.0/16373
185.220.0.0/163610
43.157.0.0/163618

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 234516812883131,13599.3%
Oct 24243651209484578695%
Oct 2511111271221,024101,29498%
Oct 26791321624,08754,39599.7%
Oct 27182683220443678096%
Oct 2815151071354891075697%
Oct 29182098133672492797%
Oct 30441091131,12381,35799.1%
Oct 31710957799661,19098%
Nov 1462491,0481,047162,36699.1%
Nov 2113641082,43742,91599.8%
Nov 3483291142,39052,84999.4%
Nov 434717901,795202,62799.0%
Nov 5123261203,72744,17999.9%
Nov 623432461,64832,13299.7%

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.