Bot traffic: webarter.net

all sites · all domains · last 15 days

All sites · All Domains · Visit webarter.net

Who is really visiting webarter.net?

Between Oct 23 and Nov 6, webarter.net received 37,225 requests. About 99.4% came from automated software and about 0.2% look like real people.

That works out to about 40 human visitors, roughly 3 a day, who opened 66 pages between them. 26 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
40human visitors (estimate)
66pages opened by people
37,225total requests, 15 days

Where the requests came from

People 0.2%Named bots 10%Disguised bots 6.8%Scanners 82%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.

036912Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 37,225ShareData sentBlockedby the serverWhat this means
Break-in scanners25,19968%29 MB15,269Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers5,41715%20 MB18Other requests from an address also caught probing for weak spots.
Disguised scrapers2,1525.8%16 MB5Claims 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 crawlers1,4343.9%2 MB91AI companies gathering pages or answering a user's question, and saying so.
Search engines1,1913.2%4 MB7Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots1,0712.9%4 MB24Any other software that identifies itself as a bot.
Scripts and tools3701.0%2 MB2Programs such as curl or Python, or anything with an unrecognizable name.
Unclear1610.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools1490.4%<1 MB52Commercial tools that sell data about websites.
Possibly people550.1%<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 people190.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
App link sweepers60.0%<1 MB1Touches only login, app or embed links and no actual content.
No name given10.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines416
GooglebotSearch engines318
ClaudeBotAI crawlers269
OAI-SearchBotAI crawlers166
bingbotSearch engines141
GPTBotAI crawlers98
BytespiderAI crawlers86
ApplebotSearch engines82
claudebotAI crawlers79
BravebotOther named bots76
YouBotAI crawlers75
AmazonbotAI crawlers74
QwenbotOther named bots73
GrokBotAI crawlers72
BaiduspiderSearch engines68

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/23

How people arrived

Referring siteHuman visitors
m.baidu.com17
www.google.com15

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
192.42.0.0/1618824
66.249.0.0/161343
158.69.0.0/16702
102.129.0.0/16671
104.164.0.0/16563
45.156.0.0/164739
43.166.0.0/164122
43.157.0.0/163923

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23123161403,393103,86199.7%
Oct 2424971782,30242,58599.7%
Oct 2512931103,01073,22399.7%
Oct 26242241421,79562,17199.5%
Oct 27341182325291589998%
Oct 28221181505261581198%
Oct 29241271871,004141,33699%
Oct 3000109142802171,07098%
Oct 31241171471,19231,46399.5%
Nov 1473343332,712103,39999.4%
Nov 2002611723,06353,50199.9%
Nov 3456011842,79983,59999.6%
Nov 412207721341,717222,66598%
Nov 5454681764,237154,90299.6%
Nov 623901021,535101,74099.3%

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.