Bot traffic: videoswitchguide.com

all sites · all domains · last 15 days

All sites · All Domains · Visit videoswitchguide.com

Who is really visiting videoswitchguide.com?

Between Oct 23 and Nov 6, videoswitchguide.com received 11,687 requests. About 98% came from automated software and about 0.3% look like real people.

That works out to about 23 human visitors, roughly 2 a day, who opened 32 pages between them. 4 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 3,357 requests, of which 2 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
23human visitors (estimate)
32pages opened by people
11,687total requests, 15 days

Where the requests came from

People 0.3%Named bots 20%Disguised bots 14%Scanners 64%Unclear 1.2%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,0002,0003,0004,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

01234Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 11,687ShareData sentBlockedby the serverWhat this means
Break-in scanners5,98951%1 MB35Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers1,57814%12 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.
Scanners posing as browsers1,54013%4 MB5Other requests from an address also caught probing for weak spots.
AI crawlers8487.3%2 MB14AI companies gathering pages or answering a user's question, and saying so.
Other named bots7236.2%2 MB3Any other software that identifies itself as a bot.
Search engines5925.1%3 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
SEO and marketing tools1471.3%<1 MB97Commercial tools that sell data about websites.
Unclear1441.2%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools860.7%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Possibly people240.2%<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.
Likely people100.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
App link sweepers60.1%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines275
ClaudeBotAI crawlers274
OAI-SearchBotAI crawlers246
GooglebotSearch engines99
Amzn-SearchBotSearch engines91
ElevenlabsCrawlerOther named bots74
ChatGPT-UserAI crawlers73
SemrushBotSEO and marketing tools66
SEOJuice-SearchBotOther named bots62
BarkrowlerSEO and marketing tools50
CensysInspectOther named bots45
SeznamBotSearch engines41
GPTBotAI crawlers35
SofyaBotOther named bots34
facebook.comOther named bots33

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/20

How people arrived

Referring siteHuman visitors
m.baidu.com17
www.google.com2
fableguide.com1
www.baidu.com1
www.bing.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
192.42.0.0/1618339
152.53.0.0/161081
5.102.0.0/16623
185.220.0.0/163910
43.166.0.0/163623
171.25.0.0/16283
43.130.0.0/162519
43.157.0.0/162419

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 232210074186636998%
Oct 24336893259642998%
Oct 2500246138224661499.0%
Oct 2622135713,14453,35799.8%
Oct 27222441633761279798%
Oct 28281298481571,04498%
Oct 292211912396934997%
Oct 30243331602622578496%
Oct 311130488343674299.1%
Nov 122128109595583999.2%
Nov 200154118183846398%
Nov 3221111272271848596%
Nov 422711023991258698%
Nov 500107124981134097%
Nov 6226196322848998%

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.