Bot traffic: childrensfable.com

all sites · all domains · last 15 days

All sites · All Domains · Visit childrensfable.com

Who is really visiting childrensfable.com?

Between Oct 23 and Nov 6, childrensfable.com received 30,832 requests. About 98% came from automated software and about 0.6% look like real people.

That works out to about 68 human visitors, roughly 5 a day, who opened 98 pages between them. 30 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 5,620 requests, of which 26 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
68human visitors (estimate)
98pages opened by people
30,832total requests, 15 days

Where the requests came from

People 0.6%Named bots 9.3%Disguised bots 10%Scanners 79%Unclear 1.0%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,5003,0004,5006,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

036912Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 30,832ShareData sentBlockedby the serverWhat this means
Break-in scanners17,80158%3 MB71Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers6,49821%13 MB0Other requests from an address also caught probing for weak spots.
Disguised scrapers2,3867.7%35 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.
AI crawlers1,1333.7%2 MB51AI companies gathering pages or answering a user's question, and saying so.
Other named bots9173.0%5 MB8Any other software that identifies itself as a bot.
Scripts and tools7712.5%2 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Search engines6982.3%2 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear2981.0%2 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1370.4%7 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools1330.4%<1 MB48Commercial tools that sell data about websites.
Possibly people440.1%<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 given160.1%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers249
GooglebotSearch engines214
PetalBotSearch engines198
OAI-SearchBotAI crawlers195
bingbotSearch engines101
ChatGPT-UserAI crawlers94
GPTBotAI crawlers86
ibou-searchOther named bots59
BytespiderAI crawlers58
Kimi-SearchBotOther named bots53
BaiduspiderSearch engines52
QlyzeBotOther named bots50
claudebotAI crawlers47
PerplexityBotAI crawlers46
AmazonbotAI crawlers44

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/58
/videos/3

How people arrived

Referring siteHuman visitors
m.baidu.com18
www.google.com6
www.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
102.129.0.0/162331
192.42.0.0/1615246
5.102.0.0/16712
45.138.0.0/16563
23.180.0.0/16491
185.220.0.0/164518
43.157.0.0/163722
43.153.0.0/163718

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23461951771,298261,70498%
Oct 2481294263900201,30197%
Oct 252224819880591,26499%
Oct 269124492554,869215,62099.2%
Oct 27581552083641575397%
Oct 2812148139855181,16498%
Oct 2946147246808121,22298%
Oct 30455081842,198412,95098%
Oct 3147971661,060171,34998%
Nov 19103391613,144173,68399%
Nov 2341211803,636193,96299.4%
Nov 368892271,770252,12198%
Nov 424143228994221,39198%
Nov 535112307788201,23598%
Nov 66736234810161,11397%

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 15 log files.