Bot traffic: texascoliving.com

all sites · all domains · last 15 days

All sites · All Domains · Visit texascoliving.com

Who is really visiting texascoliving.com?

Between Oct 23 and Nov 6, texascoliving.com received 52,454 requests. About 99.2% came from automated software and about 0.3% look like real people.

That works out to about 71 human visitors, roughly 5 a day, who opened 108 pages between them. 31 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.

99.2%of requests from bots
71human visitors (estimate)
108pages opened by people
52,454total requests, 15 days

Where the requests came from

People 0.3%Named bots 7.6%Disguised bots 9.0%Scanners 83%Unclear 0.5%

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 52,454ShareData sentBlockedby the serverWhat this means
Break-in scanners36,62270%33 MB19,921Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers6,68413%29 MB51Other requests from an address also caught probing for weak spots.
Disguised scrapers3,5996.9%25 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 crawlers1,3692.6%2 MB94AI companies gathering pages or answering a user's question, and saying so.
Search engines1,2182.3%5 MB14Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Scripts and tools1,1312.2%4 MB14Programs such as curl or Python, or anything with an unrecognizable name.
Other named bots1,1132.1%5 MB16Any other software that identifies itself as a bot.
SEO and marketing tools2730.5%1 MB60Commercial tools that sell data about websites.
Unclear2730.5%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1280.2%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people390.1%<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.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines438
ClaudeBotAI crawlers425
GooglebotSearch engines296
bingbotSearch engines180
OAI-SearchBotAI crawlers167
GPTBotAI crawlers123
BytespiderAI crawlers94
ibou-searchOther named bots81
BarkrowlerSEO and marketing tools81
Amzn-SearchBotSearch engines76
SeznamBotSearch engines75
ElevenlabsCrawlerOther named bots72
ChatGLM-SpiderOther named bots68
SERankingBacklinksBotSEO and marketing tools67
serpstatbotSEO and marketing tools65

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/37
/directory/7
/about/4
/videos/3
/news/2
/rss-api2
/sources/2

How people arrived

Referring siteHuman visitors
m.baidu.com19
www.google.com1
offgridder.com1
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
192.42.0.0/1615028
171.22.0.0/16663
66.249.0.0/166411
54.183.0.0/164525
43.157.0.0/163619
5.102.0.0/16363
148.135.0.0/16361
43.130.0.0/163423

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23235152352,740143,50899.5%
Oct 24791623413,617154,14999.3%
Oct 25114422183,264163,94299.5%
Oct 26353312446,241126,83399.8%
Oct 27581603441,161171,69298%
Oct 2855168349813281,36797%
Oct 2968195301812141,33698%
Oct 30552522682,692273,25099%
Oct 31351282392,800113,18599.4%
Nov 115243531,1143,010184,53399%
Nov 2331402085,091175,46399.6%
Nov 36111531953,030193,41299.0%
Nov 4686632372,470253,40799%
Nov 5232382631,991232,51999%
Nov 6710731793,574173,85899.2%

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.