Bot traffic: podsat.com

all sites · all domains · last 15 days

All sites · All Domains · Visit podsat.com

Who is really visiting podsat.com?

Between Oct 23 and Nov 6, podsat.com received 43,100 requests. About 99.1% came from automated software and about 0.5% look like real people.

That works out to about 123 human visitors, roughly 8 a day, who opened 200 pages between them. 23 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.

99.1%of requests from bots
123human visitors (estimate)
200pages opened by people
43,100total requests, 15 days

Where the requests came from

People 0.5%Named bots 8.1%Disguised bots 7.6%Scanners 83%Unclear 0.4%

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.

06121824Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 43,100ShareData sentBlockedby the serverWhat this means
Break-in scanners29,53369%27 MB16,434Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers6,41115%25 MB62Other requests from an address also caught probing for weak spots.
Disguised scrapers2,1815.1%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.
AI crawlers1,4693.4%3 MB99AI companies gathering pages or answering a user's question, and saying so.
Scripts and tools1,0932.5%2 MB10Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots1,0342.4%4 MB29Any other software that identifies itself as a bot.
Search engines8862.1%3 MB12Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear1530.4%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Possibly people1290.3%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 people960.2%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools940.2%<1 MB40Commercial tools that sell data about websites.
No name given210.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
ClaudeBotAI crawlers334
GooglebotSearch engines249
PetalBotSearch engines209
OAI-SearchBotAI crawlers124
GPTBotAI crawlers108
bingbotSearch engines102
BytespiderAI crawlers88
BaiduspiderSearch engines77
ChatGPT-UserAI crawlers74
cohere-aiAI crawlers74
ApplebotSearch engines74
BravebotOther named bots73
OAI-AdsBotSearch engines72
DuckAssistBotOther named bots71
HunyuanOther named bots71

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/114
/kb/4
/rss-api4
/sources/4
/faq/4
/about/4
/resources/3
/videos/3
/news/3

How people arrived

Referring siteHuman visitors
videoretreat.com84
m.baidu.com19
www.google.com7

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
192.42.0.0/1613031
66.249.0.0/16903
102.129.0.0/16631
45.156.0.0/165043
93.123.0.0/16501
185.220.0.0/16498
5.102.0.0/16333
43.134.0.0/162712

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23342081623,36583,74899.7%
Oct 242336512171,88252,19598%
Oct 25445261764,52985,24399.8%
Oct 2613153181724,18984,70399.5%
Oct 2718332222142,50092,98298%
Oct 2817171421611,039111,37098%
Oct 291315105167702499398%
Oct 306191141691,271111,58898%
Oct 3112141681351,464181,80198%
Nov 1682791,0112,121183,43999.2%
Nov 24113331795,981136,51899.6%
Nov 3352371201,719132,09599.1%
Nov 4234201541,874162,46799.2%
Nov 54133161652,09522,59699.2%
Nov 62344931,21391,36299.1%

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.