Bot traffic: robopodcast.com

all sites · all domains · last 15 days

All sites · All Domains · Visit robopodcast.com

Who is really visiting robopodcast.com?

Between Oct 23 and Nov 6, robopodcast.com received 51,527 requests. About 99.4% came from automated software and about 0.2% look like real people.

That works out to about 72 human visitors, roughly 5 a day, who opened 107 pages between them. 33 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.

99.4%of requests from bots
72human visitors (estimate)
107pages opened by people
51,527total requests, 15 days

Where the requests came from

People 0.2%Named bots 7.9%Disguised bots 7.6%Scanners 84%Unclear 0.3%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02,0004,0006,0008,000Oct 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 51,527ShareData sentBlockedby the serverWhat this means
Break-in scanners39,39776%60 MB25,974Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers3,8507.5%18 MB33Other requests from an address also caught probing for weak spots.
Disguised scrapers2,5835.0%19 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.
Search engines1,8453.6%9 MB4Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Scripts and tools1,3452.6%13 MB3Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots9211.8%5 MB18Any other software that identifies itself as a bot.
AI crawlers8221.6%3 MB28AI companies gathering pages or answering a user's question, and saying so.
SEO and marketing tools4660.9%2 MB86Commercial tools that sell data about websites.
Unclear1750.3%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people930.2%<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 people270.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
App link sweepers30.0%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines983
Amzn-SearchBotSearch engines437
ClaudeBotAI crawlers361
SERankingBacklinksBotSEO and marketing tools220
ExaSearchBotOther named bots186
OAI-SearchBotAI crawlers184
BarkrowlerSEO and marketing tools157
GooglebotSearch engines134
ibou-searchOther named bots99
bingbotSearch engines88
SemrushBotSEO and marketing tools84
ApplebotSearch engines52
SeznamBotSearch engines51
ElevenlabsCrawlerOther named bots50
GPTBotAI crawlers50

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/28
/robots/deployments/3
/robots/2
/store/2
/guide/robot-dogs-2026/2

How people arrived

Referring siteHuman visitors
www.google.com41
m.baidu.com21
www.facebook.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
158.69.0.0/162912
66.249.0.0/161683
47.82.0.0/16147142
192.42.0.0/166428
183.207.0.0/16633
102.129.0.0/16622
47.79.0.0/165958
43.157.0.0/163320

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23452151854,10594,51999.7%
Oct 24571901593,25393,61899.6%
Oct 25441761152,28482,58799.5%
Oct 2668252972,26372,62999.4%
Oct 27354462772,477143,21999.4%
Oct 28563742314,014104,63599.7%
Oct 29362111932,09332,50699.6%
Oct 306102881861,839162,34099%
Oct 31692082043,333133,77299.3%
Nov 1683921,2872,578114,27799.5%
Nov 2343472044,08484,64799.7%
Nov 39132221417,188197,58599.6%
Nov 4691951971,040301,47297%
Nov 5463703391,53952,26099.5%
Nov 6471681161,157131,46199%

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.