Bot traffic: blainengland.com

all sites · all domains · last 15 days

All sites · All Domains · Visit blainengland.com

Who is really visiting blainengland.com?

Between Oct 23 and Nov 6, blainengland.com received 7,908 requests. About 97% came from automated software and about 1.4% look like real people.

That works out to about 41 human visitors, roughly 3 a day, who opened 48 pages between them. 5 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 1,702 requests, of which 4 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
41human visitors (estimate)
48pages opened by people
7,908total requests, 15 days

Where the requests came from

People 1.4%Named bots 12%Disguised bots 40%Scanners 44%Unclear 1.4%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
05001,0001,5002,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

02468Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 7,908ShareData sentBlockedby the serverWhat this means
Disguised scrapers2,32929%24 MB44Claims 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.
Break-in scanners2,32029%<1 MB0Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers1,19915%2 MB0Other requests from an address also caught probing for weak spots.
Scripts and tools84411%2 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots4245.4%3 MB2Any other software that identifies itself as a bot.
AI crawlers2503.2%<1 MB0AI companies gathering pages or answering a user's question, and saying so.
Search engines2493.1%2 MB1Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear1131.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1081.4%2 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools570.7%<1 MB22Commercial tools that sell data about websites.
App link sweepers70.1%<1 MB7Touches only login, app or embed links and no actual content.
Possibly people60.1%<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.
No name given20.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers121
PetalBotSearch engines118
OAI-SearchBotAI crawlers63
leakix.netOther named bots48
ElevenlabsCrawlerOther named bots41
GPTBotAI crawlers39
ExaSearchBotOther named bots38
bingbotSearch engines34
GooglebotSearch engines34
SeznamBotSearch engines30
Dataprovider.comOther named bots27
Amzn-SearchBotSearch engines26
User-Agent:MozillaOther named bots26
ibou-searchOther named bots20
SemrushBotSEO and marketing tools20

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/38
/kb/2

How people arrived

Referring siteHuman visitors
www.google.com5
m.baidu.com1
www.bing.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
192.42.0.0/1623534
185.220.0.0/168515
148.135.0.0/16731
43.130.0.0/165130
43.157.0.0/164327
43.165.0.0/164216
170.106.0.0/163923
43.166.0.0/163823

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23223415893529298%
Oct 247733155621983297%
Oct 25007314916324199%
Oct 26226418115527196%
Oct 271158194170342799%
Oct 285585173271831790%
Oct 29114622638731997%
Oct 30224722424730796%
Oct 31115716717224598%
Nov 1897916398737591%
Nov 222157902618211,70299%
Nov 311721221,26861,47099.5%
Nov 43682155241449597%
Nov 555611342481246994%
Nov 644327925414693%

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.