Bot traffic: alexsmallenginerepair.com

all sites · all domains · last 15 days

All sites · All Domains · Visit alexsmallenginerepair.com

Who is really visiting alexsmallenginerepair.com?

Between Oct 23 and Nov 6, alexsmallenginerepair.com received 14,187 requests. About 98% came from automated software and about 0.8% look like real people.

That works out to about 84 human visitors, roughly 6 a day, who opened 111 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.

The busiest day was Oct 26, with 3,636 requests, of which 18 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.

98%of requests from bots
84human visitors (estimate)
111pages opened by people
14,187total requests, 15 days

Where the requests came from

People 0.8%Named bots 11%Disguised bots 13%Scanners 74%Unclear 0.9%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,0002,0003,0004,000Oct 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 14,187ShareData sentBlockedby the serverWhat this means
Break-in scanners8,46560%9 MB2,233Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers2,00614%9 MB34Other requests from an address also caught probing for weak spots.
Disguised scrapers1,70412%22 MB2Claims 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.
Search engines5834.1%3 MB1Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers4953.5%1 MB7AI companies gathering pages or answering a user's question, and saying so.
Other named bots4683.3%3 MB4Any other software that identifies itself as a bot.
Scripts and tools1461.0%1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear1250.9%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people1020.7%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.
SEO and marketing tools790.6%<1 MB39Commercial tools that sell data about websites.
Likely people130.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
App link sweepers10.0%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers290
PetalBotSearch engines247
GooglebotSearch engines125
bingbotSearch engines104
OAI-SearchBotAI crawlers83
ibou-searchOther named bots62
Amzn-SearchBotSearch engines40
BarkrowlerSEO and marketing tools38
SeznamBotSearch engines37
ElevenlabsCrawlerOther named bots36
RiverBotOther named bots34
SEOJuice-SearchBotOther named bots32
QlyzeBotOther named bots29
SemrushBotSEO and marketing tools28
GPTBotAI crawlers25

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/75
/about/2
/sitemap/2

How people arrived

Referring siteHuman visitors
bastropbeat.com56
m.baidu.com19
www.google.com4
www.yandex.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
192.42.0.0/1612642
66.249.0.0/16683
43.157.0.0/163918
144.126.0.0/16351
5.102.0.0/16303
185.220.0.0/162514
43.166.0.0/162415
43.164.0.0/16228

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23121131012901051698%
Oct 24101299100281649896%
Oct 256692150538579199%
Oct 261016941303,38863,63699.3%
Oct 2791120816973051,12399%
Oct 2810101659773671,01598%
Oct 29172186154221749094%
Oct 30551211251,229131,49399%
Oct 3146801031,54971,74599.3%
Nov 14613794288653298%
Nov 200119175305760699%
Nov 324109937611097799%
Nov 44791147691132594%
Nov 5237413176929396%
Nov 6123782101614788%

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.