Bot traffic: texascowork.com

all sites · all domains · last 15 days

All sites · All Domains · Visit texascowork.com

Who is really visiting texascowork.com?

Between Oct 23 and Nov 6, texascowork.com received 53,361 requests. About 99.3% came from automated software and about 0.4% look like real people.

That works out to about 78 human visitors, roughly 5 a day, who opened 127 pages between them. 45 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.

99.3%of requests from bots
78human visitors (estimate)
127pages opened by people
53,361total requests, 15 days

Where the requests came from

People 0.4%Named bots 13%Disguised bots 11%Scanners 75%Unclear 0.3%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,5003,0004,5006,000Oct 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 53,361ShareData sentBlockedby the serverWhat this means
Break-in scanners35,20966%59 MB22,768Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers4,9329.2%22 MB30Other requests from an address also caught probing for weak spots.
Disguised scrapers4,7488.9%29 MB13Claims 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 engines3,1675.9%16 MB7Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots1,6983.2%9 MB61Any other software that identifies itself as a bot.
Scripts and tools1,1592.2%3 MB8Programs such as curl or Python, or anything with an unrecognizable name.
AI crawlers1,0662.0%5 MB38AI companies gathering pages or answering a user's question, and saying so.
SEO and marketing tools1,0121.9%5 MB47Commercial tools that sell data about websites.
Unclear1580.3%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1430.3%1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people620.1%<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 given50.0%<1 MB0Requests that give no software name at all.
Calendar and feed apps20.0%<1 MB0Software fetching a feed for someone who subscribed.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines1,324
Amzn-SearchBotSearch engines711
bingbotSearch engines458
ElevenlabsCrawlerOther named bots385
serpstatbotSEO and marketing tools378
SeznamBotSearch engines377
QlyzeBotOther named bots374
SERankingBacklinksBotSEO and marketing tools357
OAI-SearchBotAI crawlers352
ClaudeBotAI crawlers260
BarkrowlerSEO and marketing tools229
ReflectionbotOther named bots142
PerplexityBotAI crawlers132
GooglebotSearch engines100
ibou-searchOther named bots82

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/34
/directory/11
/tyler-coworking/3
/space/urban-office-san-antonio/2
/best-coworking-houston/2
/coworking/24-7-coworking-katy/2
/lubbock-coworking/2
/round-rock-coworking/2
/space/geekdom-san-antonio/2
/dallas-coworking/2

How people arrived

Referring siteHuman visitors
www.google.com18
m.baidu.com17
duckduckgo.com7
www.bing.com3

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
158.69.0.0/162632
74.125.0.0/161176
66.249.0.0/161083
192.42.0.0/169128
45.138.0.0/16803
141.94.0.0/165613
102.129.0.0/16503
72.14.0.0/16483

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23007244243,80564,95999.9%
Oct 24583242663,43734,04399.6%
Oct 25003181743,45263,95099.8%
Oct 26356772011,79972,69299.4%
Oct 277122983351,47572,13499%
Oct 28669678852,671104,54699.5%
Oct 29462552902,235302,82299%
Oct 307102733333,23593,86999.3%
Oct 31355253282,57873,44399.7%
Nov 1593231,4172,234204,00799.2%
Nov 29173173104,49175,15599.3%
Nov 38132232962,29562,84299.0%
Nov 4795701991,224182,02399%
Nov 57119962491,655172,93599%
Nov 69161552053,55553,94199.3%

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.