Bot traffic: austintweet.com

all sites · all domains · last 15 days

All sites · All Domains · Visit austintweet.com

Who is really visiting austintweet.com?

Between Oct 23 and Nov 6, austintweet.com received 39,052 requests. About 98% came from automated software and about 0.8% look like real people.

That works out to about 83 human visitors, roughly 6 a day, who opened 123 pages between them. 38 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 30, with 6,986 requests, of which 3 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
83human visitors (estimate)
123pages opened by people
39,052total requests, 15 days

Where the requests came from

People 0.8%Named bots 8.6%Disguised bots 7.1%Scanners 83%Unclear 0.7%

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.

0481216Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 39,052ShareData sentBlockedby the serverWhat this means
Break-in scanners24,59663%30 MB11,472Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers7,72820%29 MB19Other requests from an address also caught probing for weak spots.
Disguised scrapers2,5456.5%20 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 engines1,1352.9%11 MB3Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots1,0872.8%7 MB26Any other software that identifies itself as a bot.
AI crawlers1,0082.6%3 MB59AI companies gathering pages or answering a user's question, and saying so.
Unclear2700.7%10 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people2650.7%24 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scripts and tools2360.6%2 MB3Programs such as curl or Python, or anything with an unrecognizable name.
SEO and marketing tools1270.3%<1 MB68Commercial tools that sell data about websites.
Possibly people510.1%<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.
No name given40.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines416
ClaudeBotAI crawlers338
GooglebotSearch engines302
OAI-SearchBotAI crawlers145
bingbotSearch engines99
pathscanOther named bots93
GPTBotAI crawlers74
SeznamBotSearch engines67
sogou.comSearch engines57
QlyzeBotOther named bots54
SemrushBotSEO and marketing tools52
BytespiderAI crawlers51
ApplebotSearch engines50
leakix.netOther named bots48
ibou-searchOther named bots47

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/64
/sources/3
/about/3
/faq/3
/live/2
/videos/2

How people arrived

Referring siteHuman visitors
m.baidu.com20
www.google.com7
www.google.com.hk1

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
192.42.0.0/1620622
102.129.0.0/161162
104.164.0.0/16764
185.220.0.0/16579
117.132.0.0/16471
66.249.0.0/16376
5.102.0.0/16372
148.135.0.0/16331

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2369318229564171,14797%
Oct 2411141311911,110311,52094%
Oct 25443751243,62684,13999.7%
Oct 266102052183,715114,16899.3%
Oct 2757158237852241,28197%
Oct 28662141111,263201,63297%
Oct 29571112501,031211,43097%
Oct 30122071526,609156,98699.7%
Oct 3146208141560692398%
Nov 115176563474,622515,75298%
Nov 2342232482,20692,69399.4%
Nov 37111641592,686173,04599%
Nov 4811188106789141,11697%
Nov 5691371621,560111,88898%
Nov 656621101,131151,33298%

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.