Bot traffic: automatedwebengine.com

all sites · all domains · last 15 days

All sites · All Domains · Visit automatedwebengine.com

Who is really visiting automatedwebengine.com?

Between Oct 24 and Nov 6, automatedwebengine.com received 4,671 requests. About 98% came from automated software and about 0.9% look like real people.

That works out to about 15 human visitors, roughly 1 a day, who opened 25 pages between them. 10 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.

98%of requests from bots
15human visitors (estimate)
25pages opened by people
4,671total requests, 14 days

Where the requests came from

People 0.9%Named bots 14%Disguised bots 39%Scanners 45%Unclear 1.3%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0150300450600Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

Human visitors per day

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

01234Oct 24Oct 26Oct 28Oct 30Nov 1Nov 3Nov 5

The breakdown

SourceRequestsΣ 4,671ShareData sentBlockedby the serverWhat this means
Disguised scrapers1,77038%1 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.
Break-in scanners1,11224%<1 MB388Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers96821%<1 MB39Other requests from an address also caught probing for weak spots.
Other named bots3858.2%<1 MB1Any other software that identifies itself as a bot.
Search engines1994.3%<1 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear631.3%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools501.1%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
AI crawlers420.9%<1 MB0AI companies gathering pages or answering a user's question, and saying so.
Likely people380.8%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools300.6%<1 MB3Commercial tools that sell data about websites.
App link sweepers90.2%<1 MB0Touches only login, app or embed links and no actual content.
No name given30.1%<1 MB0Requests that give no software name at all.
Possibly people20.0%<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 engines110
leakix.netOther named bots96
PetalBotSearch engines66
User-Agent:MozillaOther named bots40
CensysInspectOther named bots36
QlyzeBotOther named bots31
AgentTrustBotOther named bots18
sunrisetranscription.comOther named bots17
AmazonbotAI crawlers16
RiverBotOther named bots15
DataForSeoBotSEO and marketing tools14
SeznamBotSearch engines13
OAI-SearchBotAI crawlers11
facebook.comOther named bots11
DzzyXtractOther named bots11

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/login8

How people arrived

Referring siteHuman visitors
m.baidu.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
43.157.0.0/1611228
43.166.0.0/168616
43.130.0.0/168418
192.42.0.0/168219
43.153.0.0/168119
43.165.0.0/166916
43.159.0.0/165613
49.51.0.0/165413

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 240000202100.0%
Oct 25005917527226399.2%
Oct 26001591422571257098%
Oct 273558141130634396%
Oct 28004313633621897%
Oct 293528121423258298%
Oct 30003011979523398%
Oct 312323148257243598%
Nov 10070142368458499.3%
Nov 21224221751133596%
Nov 30061142296250199.6%
Nov 4355514073528096%
Nov 5003011328217399%
Nov 635169232415292%

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 13 log files.