Bot traffic: texasfridaynights.com

all sites · all domains · last 15 days

All sites · All Domains · Visit texasfridaynights.com

Who is really visiting texasfridaynights.com?

Between Oct 23 and Nov 6, texasfridaynights.com received 15,708 requests. About 98% came from automated software and about 1.3% look like real people.

That works out to about 94 human visitors, roughly 6 a day, who opened 108 pages between them. 14 of them read more than one page.

The biggest source is bots that say who they are. Most of those are normal and some, like search engines, help people find the site.

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
94human visitors (estimate)
108pages opened by people
15,708total requests, 15 days

Where the requests came from

People 1.3%Named bots 48%Disguised bots 22%Scanners 27%Unclear 1.2%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
05001,0001,5002,000Oct 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 15,708ShareData sentBlockedby the serverWhat this means
Disguised scrapers3,15620%29 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 engines3,08620%22 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots2,83018%17 MB30Any other software that identifies itself as a bot.
Break-in scanners2,32115%<1 MB0Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers1,92712%5 MB3Other requests from an address also caught probing for weak spots.
AI crawlers8995.7%5 MB2AI companies gathering pages or answering a user's question, and saying so.
SEO and marketing tools7424.7%4 MB79Commercial tools that sell data about websites.
Scripts and tools3232.1%2 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear1901.2%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people1711.1%1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Possibly people330.2%<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 given300.2%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines1,338
Amzn-SearchBotSearch engines823
RiverBotOther named bots588
QlyzeBotOther named bots587
ElevenlabsCrawlerOther named bots513
bingbotSearch engines498
DataForSeoBotSEO and marketing tools307
SERankingBacklinksBotSEO and marketing tools284
YouBotAI crawlers268
OAI-SearchBotAI crawlers220
DuckDuckBotSearch engines184
ibou-searchOther named bots178
SofyaBotOther named bots169
GPTBotAI crawlers161
facebook.comOther named bots150

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/37
/cast/23
/schedule/18
/westlaketravis/6
/cast/minka-kelly/2
/cast/reunion/2
/videos/2

How people arrived

Referring siteHuman visitors
www.bing.com16
www.google.com15
duckduckgo.com13
m.baidu.com10
search.yahoo.com9
teams.public.onecdn.static.microsoft1
oceanhero.today1
uk.search.yahoo.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
172.93.0.0/161441
192.42.0.0/1613328
158.173.0.0/161023
43.130.0.0/167433
43.157.0.0/167430
43.165.0.0/166016
43.153.0.0/165827
170.106.0.0/165129

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23111374541799131,30197%
Oct 241012412348883101,67998%
Oct 258824529949991,06898%
Oct 265629213921947396%
Oct 2711124772871871398896%
Oct 288970523523221,00396%
Oct 29333902162101083298%
Oct 305740721796873698%
Oct 3144386183197978198%
Nov 1115501752143397397%
Nov 267431234198587898%
Nov 36884319327181,33198%
Nov 410105982301281598997%
Nov 500626232141388599%
Nov 6784501041,208131,79198%

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.