Bot traffic: austinworking.com

all sites · all domains · last 15 days

All sites · All Domains · Visit austinworking.com

Who is really visiting austinworking.com?

Between Oct 23 and Nov 6, austinworking.com received 48,022 requests. About 99% came from automated software and about 0.7% look like real people.

That works out to about 123 human visitors, roughly 8 a day, who opened 174 pages between them. 42 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 Nov 1, with 8,180 requests, of which 76 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
123human visitors (estimate)
174pages opened by people
48,022total requests, 15 days

Where the requests came from

People 0.7%Named bots 13%Disguised bots 7.0%Scanners 78%Unclear 0.5%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02,5005,0007,50010,000Oct 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 48,022ShareData sentBlockedby the serverWhat this means
Break-in scanners29,77362%31 MB15,415Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers7,85116%23 MB494Other requests from an address also caught probing for weak spots.
Other named bots4,0928.5%18 MB22Any other software that identifies itself as a bot.
Disguised scrapers2,2884.8%18 MB4Claims 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 crawlers1,2002.5%3 MB66AI companies gathering pages or answering a user's question, and saying so.
Scripts and tools1,0582.2%4 MB10Programs such as curl or Python, or anything with an unrecognizable name.
Search engines1,0092.1%4 MB13Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Unclear2600.5%7 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people2480.5%16 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools1350.3%<1 MB40Commercial tools that sell data about websites.
Possibly people1040.2%<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.
No name given40.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
ElevenlabsCrawlerOther named bots2,872
GooglebotSearch engines269
ClaudeBotAI crawlers266
PetalBotSearch engines232
bingbotSearch engines181
OAI-SearchBotAI crawlers127
GPTBotAI crawlers83
ApplebotSearch engines76
SeznamBotSearch engines67
QlyzeBotOther named bots65
CCBotAI crawlers64
KimiBotOther named bots63
Claude-SearchBotAI crawlers62
ExaSearchBotOther named bots61
DuckAssistBotOther named bots60

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/80
/news/3
/sources/3
/videos/2
/resources/2
/live/2
/rss-api2

How people arrived

Referring siteHuman visitors
www.google.com38
m.baidu.com19
austintweet.com13
duckduckgo.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
192.42.0.0/1620231
102.129.0.0/16641
185.220.0.0/16589
5.60.0.0/16452
20.115.0.0/16451
66.190.0.0/16411
5.102.0.0/16382
148.135.0.0/16331

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2389971941,49251,81598%
Oct 241014881991,400191,73597%
Oct 25344351401,88782,47899.4%
Oct 2610174811624,590155,26599.4%
Oct 2714191931954,754225,18799.1%
Oct 288101201441,276161,57498%
Oct 29810611272610111,51599%
Oct 3013148362036,790317,88599.3%
Oct 31587941761,25342,24199.2%
Nov 114211,4789825,614308,18099%
Nov 2894361942,577183,24399%
Nov 3463551872,187242,76099%
Nov 4672151021,093141,43498%
Nov 51019128133957341,30493%
Nov 667169671,14491,40698%

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.