Bot traffic: tagslides.com

all sites · all domains · last 15 days

All sites · All Domains · Visit tagslides.com

Who is really visiting tagslides.com?

Between Oct 23 and Nov 6, tagslides.com received 52,326 requests. About 99.5% came from automated software and about 0.3% look like real people.

That works out to about 60 human visitors, roughly 4 a day, who opened 86 pages between them. 26 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.

99.5%of requests from bots
60human visitors (estimate)
86pages opened by people
52,326total requests, 15 days

Where the requests came from

People 0.3%Named bots 5.2%Disguised bots 5.1%Scanners 89%Unclear 0.3%

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 52,326ShareData sentBlockedby the serverWhat this means
Break-in scanners41,84080%64 MB24,266Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers4,7929.2%25 MB28Other requests from an address also caught probing for weak spots.
Disguised scrapers1,6503.2%18 MB3Claims 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 tools1,0272.0%2 MB9Programs such as curl or Python, or anything with an unrecognizable name.
AI crawlers9841.9%2 MB87AI companies gathering pages or answering a user's question, and saying so.
Search engines8811.7%3 MB7Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots7361.4%3 MB15Any other software that identifies itself as a bot.
SEO and marketing tools1440.3%<1 MB52Commercial tools that sell data about websites.
Unclear1400.3%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people910.2%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people410.1%<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.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines371
ClaudeBotAI crawlers250
GooglebotSearch engines191
OAI-SearchBotAI crawlers126
bingbotSearch engines108
BytespiderAI crawlers81
GPTBotAI crawlers67
ApplebotSearch engines50
cohere-aiAI crawlers50
leakix.netOther named bots48
ChatGLM-SpiderOther named bots47
DuckAssistBotOther named bots46
Claude-SearchBotAI crawlers46
ChatGPT-UserAI crawlers46
SemrushBotSEO and marketing tools42

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/51
/expanse/3

How people arrived

Referring siteHuman visitors
m.baidu.com21
www.google.com2
claudefieldguide.com2
www.wholetech.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
5.102.0.0/163363
73.190.0.0/161351
43.157.0.0/163819
192.42.0.0/163520
66.249.0.0/16353
108.177.0.0/16313
43.130.0.0/162716
43.166.0.0/162513

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23231812973,83894,32999.7%
Oct 2457751304,26454,48399.7%
Oct 25221591351,92182,22799.5%
Oct 267982845,40765,59299.7%
Oct 2724891212,77052,98999.7%
Oct 2844126864,242114,47199.6%
Oct 29461261792,17352,49099.5%
Oct 30231291482,952153,25099.4%
Oct 3136441983,57634,13099.6%
Nov 110134138972,201133,54499.1%
Nov 2341131043,520103,75699.5%
Nov 3594521273,497174,10699.3%
Nov 4562091091,865222,21499%
Nov 567991113,13033,35599.6%
Nov 62351511,27681,39099.1%

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.