Bot traffic: siamspaces.com

all sites · all domains · last 15 days

All sites · All Domains · Visit siamspaces.com

Who is really visiting siamspaces.com?

Between Oct 23 and Nov 6, siamspaces.com received 8,039 requests. About 97% came from automated software and about 1.7% look like real people.

That works out to about 53 human visitors, roughly 4 a day, who opened 59 pages between them. 6 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.

The busiest day was Nov 2, with 2,069 requests, of which 40 came from people.

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.

97%of requests from bots
53human visitors (estimate)
59pages opened by people
8,039total requests, 15 days

Where the requests came from

People 1.7%Named bots 14%Disguised bots 28%Scanners 55%Unclear 1.5%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
06251,2501,8752,500Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

Same days, people only, on their own scale so they are visible.

0481216Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 8,039ShareData sentBlockedby the serverWhat this means
Break-in scanners3,44643%<1 MB0Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers1,38617%8 MB0Claims 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.
Scanners posing as browsers97012%<1 MB5Other requests from an address also caught probing for weak spots.
Scripts and tools82910%<1 MB1Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots4455.5%2 MB3Any other software that identifies itself as a bot.
Search engines3974.9%1 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
SEO and marketing tools1582.0%<1 MB1Commercial tools that sell data about websites.
AI crawlers1481.8%<1 MB0AI companies gathering pages or answering a user's question, and saying so.
Unclear1221.5%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1211.5%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people120.1%<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.
App link sweepers30.0%<1 MB0Touches only login, app or embed links and no actual content.
No name given20.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines151
GooglebotSearch engines93
SQLSpiderOther named bots77
AhrefsBotSEO and marketing tools66
ClaudeBotAI crawlers63
Amzn-SearchBotSearch engines61
bingbotSearch engines56
SemrushBotSEO and marketing tools53
OAI-SearchBotAI crawlers42
ExaSearchBotOther named bots41
GPTBotAI crawlers36
QlyzeBotOther named bots36
ElevenlabsCrawlerOther named bots30
SeznamBotSearch engines28
Dataprovider.comOther named bots26

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/41
/spaces/3
/sources/2
/videos/2
/list/2

How people arrived

Referring siteHuman visitors
m.baidu.com10
www.google.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
192.42.0.0/169619
185.220.0.0/16479
112.45.0.0/162621
223.106.0.0/162320
119.13.0.0/16181
43.166.0.0/161714
5.102.0.0/16171
103.196.0.0/16171

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23226981160932296%
Oct 24115196235338699%
Oct 25334353322442798%
Oct 26891276371023584%
Oct 2722541122471142797%
Oct 28451099049826693%
Oct 2922681110318696%
Oct 3055558451216687%
Oct 311112988147537198%
Nov 144839082751,01499%
Nov 2151673998943152,06997%
Nov 33382961,07571,26999%
Nov 44486682731044396%
Nov 5114810494725596%
Nov 6117186321320393%

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 22:41 UTC from 15 log files.