Bot traffic: earthmodel.com

all sites · all domains · last 15 days

All sites · All Domains · Visit earthmodel.com

Who is really visiting earthmodel.com?

Between Oct 23 and Nov 6, earthmodel.com received 37,098 requests. About 99% came from automated software and about 0.8% look like real people.

That works out to about 168 human visitors, roughly 11 a day, who opened 203 pages between them. 21 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
168human visitors (estimate)
203pages opened by people
37,098total requests, 15 days

Where the requests came from

People 0.8%Named bots 10%Disguised bots 5.2%Scanners 83%Unclear 0.6%

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.

05101520Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 37,098ShareData sentBlockedby the serverWhat this means
Break-in scanners24,17465%4 MB117Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers6,77218%9 MB8Other requests from an address also caught probing for weak spots.
Disguised scrapers1,5964.3%9 MB8Claims 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 crawlers1,4794.0%<1 MB94AI companies gathering pages or answering a user's question, and saying so.
Search engines1,1713.2%4 MB5Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots9902.7%2 MB11Any other software that identifies itself as a bot.
Scripts and tools3080.8%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear2110.6%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1870.5%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools1030.3%<1 MB34Commercial tools that sell data about websites.
Possibly people1000.3%<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 given70.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers403
PetalBotSearch engines338
GooglebotSearch engines293
OAI-SearchBotAI crawlers156
bingbotSearch engines140
BaiduspiderSearch engines90
BytespiderAI crawlers90
ApplebotSearch engines83
GPTBotAI crawlers81
claudebotAI crawlers78
Amzn-SearchBotSearch engines77
PerplexityBotAI crawlers76
QlyzeBotOther named bots72
OAI-AdsBotSearch engines69
ChatGLM-SpiderOther named bots67

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/152
/tools/9
/about/9
/resources/6
/sitemap/4
/sources/4
/videos/4

How people arrived

Referring siteHuman visitors
far-uvclight.com53
m.baidu.com51
www.baidu.com11
www.google.com6
www.bing.com2
duckduckgo.com1
www.quora.com1
www.reddit.com1
www.facebook.com1
search.brave.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
192.42.0.0/1615237
23.180.0.0/16491
185.220.0.0/16349
43.166.0.0/162815
204.8.0.0/16265
47.79.0.0/162524
43.130.0.0/162317
45.156.0.0/162219

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23561021061,532181,76699%
Oct 2411111331181,820102,09499%
Oct 2513144271252,634143,22499%
Oct 2615152501264,504134,91199.4%
Oct 2712131801991,548101,95399%
Oct 2818211741091,962162,28998%
Oct 2920201111341,28591,56598%
Oct 3013143851432,261252,83598%
Oct 3112172341412,56092,96599%
Nov 118186211292,677233,47899%
Nov 213142261362,006132,40598%
Nov 38101391442,043152,35699%
Nov 479484981,277131,88699%
Nov 5662071031,658141,99299%
Nov 6615701001,17991,37998%

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.