Bot traffic: pamadamic.com

all sites · all domains · last 15 days

All sites · All Domains · Visit pamadamic.com

Who is really visiting pamadamic.com?

Between Oct 23 and Nov 6, pamadamic.com received 24,706 requests. About 99% came from automated software and about 0.6% look like real people.

That works out to about 59 human visitors, roughly 4 a day, who opened 109 pages between them. 28 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 4,858 requests, of which 22 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.

99%of requests from bots
59human visitors (estimate)
109pages opened by people
24,706total requests, 15 days

Where the requests came from

People 0.6%Named bots 10%Disguised bots 12%Scanners 76%Unclear 0.7%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,2502,5003,7505,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

0481216Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 24,706ShareData sentBlockedby the serverWhat this means
Break-in scanners12,50951%24 MB3,070Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers6,27125%25 MB18Other requests from an address also caught probing for weak spots.
Disguised scrapers1,9748.0%8 MB7Claims 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.
Scripts and tools1,0754.4%1 MB3Programs such as curl or Python, or anything with an unrecognizable name.
Search engines9433.8%2 MB3Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers7713.1%<1 MB33AI companies gathering pages or answering a user's question, and saying so.
Other named bots7643.1%2 MB5Any other software that identifies itself as a bot.
Unclear1780.7%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1170.5%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools630.3%<1 MB5Commercial tools that sell data about websites.
Possibly people390.2%<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
PetalBotSearch engines383
GooglebotSearch engines289
ClaudeBotAI crawlers249
bingbotSearch engines105
OAI-SearchBotAI crawlers81
leakix.netOther named bots74
QlyzeBotOther named bots70
GPTBotAI crawlers65
Amzn-SearchBotSearch engines46
AmazonbotAI crawlers35
SeznamBotSearch engines34
ApplebotSearch engines33
ibou-searchOther named bots33
DeepSeekBotAI crawlers32
ElevenlabsCrawlerOther named bots32

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/40
/rss-api6
/resources/5
/news/5
/about/4
/faq/2
/videos/2

How people arrived

Referring siteHuman visitors
m.baidu.com20
www.google.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
102.129.0.0/161161
66.249.0.0/1610717
104.164.0.0/16954
192.42.0.0/167516
158.69.0.0/16682
198.46.0.0/16551
43.157.0.0/164722
43.166.0.0/164119

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2312761314301165098%
Oct 245987172368864697%
Oct 250027810961891,01499.1%
Oct 267161841214,52654,85899.4%
Oct 27511123187727161,06797%
Oct 28221591396271293999%
Oct 2935901591,089101,35699%
Oct 30443601641,840202,39199%
Oct 312472154487772498%
Nov 111131641,0541,155112,40899%
Nov 26111342202,02672,40499.0%
Nov 3351291041,380111,63099%
Nov 4354731421,339211,98199%
Nov 513201541361,166261,51396%
Nov 61258591,00241,12599.5%

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.