Bot traffic: snapswim.com

all sites · all domains · last 15 days

All sites · All Domains · Visit snapswim.com

Who is really visiting snapswim.com?

Between Oct 23 and Nov 6, snapswim.com received 24,107 requests. About 99% came from automated software and about 0.7% look like real people.

That works out to about 75 human visitors, roughly 5 a day, who opened 107 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 27, with 4,246 requests, of which 11 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
75human visitors (estimate)
107pages opened by people
24,107total requests, 15 days

Where the requests came from

People 0.7%Named bots 8.3%Disguised bots 13%Scanners 78%Unclear 0.5%

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 24,107ShareData sentBlockedby the serverWhat this means
Break-in scanners15,50564%15 MB9,703Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers3,23713%10 MB154Other requests from an address also caught probing for weak spots.
Disguised scrapers1,9298.0%18 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.
Scripts and tools1,0574.4%2 MB4Programs such as curl or Python, or anything with an unrecognizable name.
Search engines6642.8%12 MB4Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots6322.6%3 MB9Any other software that identifies itself as a bot.
AI crawlers5792.4%1 MB37AI companies gathering pages or answering a user's question, and saying so.
Unclear1320.5%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1280.5%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools1230.5%<1 MB65Commercial tools that sell data about websites.
Automated browsers790.3%<1 MB0Loads images like a browser, but too fast for a person or with a faked browser name.
Possibly people420.2%<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.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines211
ClaudeBotAI crawlers127
GooglebotSearch engines120
OAI-SearchBotAI crawlers117
bingbotSearch engines91
QlyzeBotOther named bots85
GPTBotAI crawlers71
Amzn-SearchBotSearch engines67
ApplebotSearch engines63
SemrushBotSEO and marketing tools60
ibou-searchOther named bots58
SeznamBotSearch engines57
leakix.netOther named bots48
ChatGPT-UserAI crawlers46
BarkrowlerSEO and marketing tools39

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/43
/videos/8
/technique/5
/rss-api4
/workouts/4
/open-water/4
/gear/3
/news/2
/health-benefits/2

How people arrived

Referring siteHuman visitors
m.baidu.com20
www.google.com3

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
45.138.0.0/161193
102.129.0.0/16952
192.42.0.0/168522
158.69.0.0/16791
66.249.0.0/16726
183.207.0.0/16553
216.9.0.0/16501
89.34.0.0/16461

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2345621211,74861,94499.3%
Oct 2441090147442569797%
Oct 2500791031,27151,45899.7%
Oct 26810129103460771597%
Oct 27581442893,79754,24699.6%
Oct 2888117124775131,04397%
Oct 294764179302555997%
Oct 3044851483431059297%
Oct 313579121714692799%
Nov 114191919912,635213,87099%
Nov 2443691942,26562,84299.5%
Nov 3682141551,014141,40998%
Nov 434961426581091198%
Nov 510122331181,534151,92798%
Nov 62346130784496799.3%

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.