Bot traffic: sledville.com

all sites · all domains · last 15 days

All sites · All Domains · Visit sledville.com

Who is really visiting sledville.com?

Between Oct 24 and Nov 6, sledville.com received 14,789 requests. About 96% came from automated software and about 2.7% look like real people.

That works out to about 35 human visitors, roughly 2 a day, who opened 44 pages between them. 8 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.

96%of requests from bots
35human visitors (estimate)
44pages opened by people
14,789total requests, 14 days

Where the requests came from

People 2.7%Named bots 19%Disguised bots 12%Scanners 66%Unclear 0.9%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
06251,2501,8752,500Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

Human visitors per day

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

036912Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

The breakdown

SourceRequestsΣ 14,789ShareData sentBlockedby the serverWhat this means
Break-in scanners6,27342%<1 MB2,788Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers3,41623%5 MB21Other requests from an address also caught probing for weak spots.
Disguised scrapers1,52310%21 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.
Other named bots1,1097.5%25 MB19Any other software that identifies itself as a bot.
AI crawlers8025.4%12 MB50AI companies gathering pages or answering a user's question, and saying so.
Search engines6924.7%3 MB7Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Likely people3862.6%18 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scripts and tools2501.7%2 MB0Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools2021.4%<1 MB23Commercial tools that sell data about websites.
Unclear1300.9%11 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people60.0%<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.

Named bots

Botas it names itselfTypeRequests
GooglebotSearch engines219
PetalBotSearch engines157
ClaudeBotAI crawlers127
GPTBotAI crawlers122
bingbotSearch engines113
BarkrowlerSEO and marketing tools106
meta-webindexerOther named bots98
ibou-searchOther named bots93
QlyzeBotOther named bots86
ElevenlabsCrawlerOther named bots72
OAI-SearchBotAI crawlers66
Meta-ExternalAgentAI crawlers50
Amzn-SearchBotSearch engines49
SERankingBacklinksBotSEO and marketing tools46
QwenbotOther named bots43

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/26
/dirt-bike-tours/2
/snowmobile-tours/2
/utv-tours/2

How people arrived

Referring siteHuman visitors
bigliocchilimbf.blogspot.com2
m.baidu.com2
www.google.com1
www.leadvilleoffroadadventures.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
192.42.0.0/1616823
5.102.0.0/16622
185.220.0.0/16619
148.135.0.0/16521
123.6.0.0/16492
178.238.0.0/16411
43.157.0.0/164027
43.130.0.0/163928

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 240002002100.0%
Oct 2522286132397682399.0%
Oct 261013323177404101,01689%
Oct 270072133125533599%
Oct 283310313020829985%
Oct 2900772084061370498%
Oct 300037711260571,10199.4%
Oct 3122138132356564996%
Nov 1111788387861,14699.4%
Nov 2881471481,869172,28795%
Nov 3552781391,91792,40197%
Nov 4113061671,16391,64699.4%
Nov 533163149379472595%
Nov 646357611,170311,65596%

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 13 log files.