Bot traffic: austintexascoworking.com

all sites · all domains · last 15 days

All sites · All Domains · Visit austintexascoworking.com

Who is really visiting austintexascoworking.com?

Between Oct 23 and Nov 6, austintexascoworking.com received 30,757 requests. About 98% came from automated software and about 1.2% look like real people.

That works out to about 108 human visitors, roughly 7 a day, who opened 165 pages between them. 46 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 7,321 requests, of which 22 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
108human visitors (estimate)
165pages opened by people
30,757total requests, 15 days

Where the requests came from

People 1.2%Named bots 10%Disguised bots 8.3%Scanners 80%Unclear 0.6%

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.

07142128Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 30,757ShareData sentBlockedby the serverWhat this means
Break-in scanners20,37366%15 MB9,079Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers4,17614%12 MB37Other requests from an address also caught probing for weak spots.
Disguised scrapers2,3137.5%17 MB1Claims 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.
Other named bots1,0873.5%6 MB18Any other software that identifies itself as a bot.
AI crawlers1,0253.3%4 MB49AI companies gathering pages or answering a user's question, and saying so.
Search engines8582.8%5 MB7Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Likely people2941.0%16 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scripts and tools2370.8%2 MB2Programs such as curl or Python, or anything with an unrecognizable name.
Unclear1920.6%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools1150.4%<1 MB67Commercial tools that sell data about websites.
Possibly people840.3%<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.
No name given30.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines295
GooglebotSearch engines214
ClaudeBotAI crawlers166
OAI-SearchBotAI crawlers151
bingbotSearch engines94
GPTBotAI crawlers88
SemrushBotSEO and marketing tools62
HunyuanOther named bots61
ChatGLM-SpiderOther named bots61
QlyzeBotOther named bots59
Claude-SearchBotAI crawlers56
OAI-AdsBotSearch engines55
ApplebotSearch engines53
ChatGPT-UserAI crawlers52
Meta-ExternalFetcherAI crawlers52

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/67
/best-coworking-spaces/9
/news/3
/live/3
/resources/2
/rss-api2
/social/2
/sitemap/2
/index261027.html2
/videos/2
/about/2

How people arrived

Referring siteHuman visitors
www.google.com30
m.baidu.com18
www.baidu.com2

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
192.42.0.0/1626636
93.123.0.0/16741
185.220.0.0/166512
45.138.0.0/16593
173.46.0.0/16562
102.129.0.0/16551
66.249.0.0/16494
5.102.0.0/16413

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 238102302753611690296%
Oct 241115692003172065290%
Oct 25348712473830294%
Oct 26356031354,10254,85099.8%
Oct 27610971841,01411,30799.1%
Oct 2855192157770211,16896%
Oct 294667226779141,10397%
Oct 308113411426,801157,32199.5%
Oct 3191595118726596897%
Nov 125346202964,320275,34298%
Nov 25111501901,33381,71498%
Nov 311191271592,246132,58898%
Nov 456128821311437491%
Nov 5571041911,25591,57399%
Nov 647175743211659396%

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.