Bot traffic: childrenstory.org

all sites · all domains · last 15 days

All sites · All Domains · Visit childrenstory.org

Who is really visiting childrenstory.org?

Between Oct 23 and Nov 6, childrenstory.org received 89,227 requests. About 95% came from automated software and about 3.8% look like real people.

That works out to about 558 human visitors, roughly 37 a day, who opened 852 pages between them. 188 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.

95%of requests from bots
558human visitors (estimate)
852pages opened by people
89,227total requests, 15 days

Where the requests came from

People 3.8%Named bots 16%Disguised bots 11%Scanners 68%Unclear 1.0%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
03,1256,2509,37512,500Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

020406080Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 89,227ShareData sentBlockedby the serverWhat this means
Break-in scanners51,66958%28 MB31,563Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers8,7269.8%21 MB44Other requests from an address also caught probing for weak spots.
Search engines7,6738.6%84 MB6Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Disguised scrapers7,5488.5%274 MB1Claims 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 bots4,5555.1%42 MB13Any other software that identifies itself as a bot.
Likely people3,3763.8%144 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scripts and tools2,4682.8%38 MB8Programs such as curl or Python, or anything with an unrecognizable name.
AI crawlers2,0512.3%8 MB90AI companies gathering pages or answering a user's question, and saying so.
Unclear8511.0%8 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools2440.3%<1 MB111Commercial tools that sell data about websites.
Possibly people520.1%<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 given90.0%<1 MB0Requests that give no software name at all.
Calendar and feed apps40.0%<1 MB0Software fetching a feed for someone who subscribed.
App link sweepers10.0%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines3,896
Amzn-SearchBotSearch engines1,700
ClaudeBotAI crawlers1,390
ElevenlabsCrawlerOther named bots988
ExaSearchBotOther named bots976
bingbotSearch engines720
GooglebotSearch engines463
Web-CrawlerOther named bots360
SirdataBotOther named bots332
SofyaBotOther named bots320
DuckDuckBotSearch engines312
ias_crawlerOther named bots275
BaiduspiderSearch engines198
OAI-SearchBotAI crawlers131
UmaiBotOther named bots122

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/96
/fairy-tales/15
/fables/14
/nursery-rhymes/12
/bedtime/9
/fairy-tales/the-story-of-the-three-little-pigs/9
/library/8
/fables/the-hare-and-the-tortoise/6
/fairy-tales/the-wolf-and-the-seven-little-kids/5
/holiday/5
/fairy-tales/master-of-all-masters/5
/fables/the-trees-and-the-axe/4

How people arrived

Referring siteHuman visitors
www.bing.com53
duckduckgo.com50
m.baidu.com21
search.yahoo.com14
marijaponlike.blogspot.com9
www.google.com4
www.ecosia.org4
cn.bing.com2
www.reddit.com1
us.search.yahoo.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
66.249.0.0/165264
43.173.0.0/16389323
141.94.0.0/1632613
43.172.0.0/16183152
158.69.0.0/161451
152.53.0.0/161351
57.129.0.0/161249
192.42.0.0/1611721

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2324415649055,830337,56496%
Oct 2417305708394,180315,78897%
Oct 2545581,6533557,022449,39496%
Oct 2633487284339,3869910,83097%
Oct 2739491,1365922,492384,49394%
Oct 2862831,1565004,108506,08895%
Oct 2942721,6614742,318594,70395%
Oct 3032521,4155083,618655,79996%
Oct 3152664814965,944627,13597%
Nov 156841,0661,4992,664505,60693%
Nov 247645856134,157755,69994%
Nov 341979677893,009575,14393%
Nov 431451,4076001,986424,21295%
Nov 525266028992,030803,79293%
Nov 629375365241,651662,98191%

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 22:43 UTC from 15 log files.