Bot traffic: tvawardshows.com

all sites · all domains · last 15 days

All sites · All Domains · Visit tvawardshows.com

Who is really visiting tvawardshows.com?

Between Oct 23 and Nov 6, tvawardshows.com received 64,370 requests. About 88% came from automated software and about 9.7% look like real people.

That works out to about 952 human visitors, roughly 63 a day, who opened 1,190 pages between them. 118 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.

88%of requests from bots
952human visitors (estimate)
1,190pages opened by people
64,370total requests, 15 days

Where the requests came from

People 9.7%Named bots 44%Disguised bots 28%Scanners 15%Unclear 2.7%

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.

0255075100Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 64,370ShareData sentBlockedby the serverWhat this means
Disguised scrapers15,73724%388 MB145Claims 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 bots12,24819%612 MB50Any other software that identifies itself as a bot.
Search engines10,77717%271 MB1Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Break-in scanners6,2949.8%7 MB813Probing for WordPress logins, password files and other common weak spots.
Likely people6,0799.4%1978 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scanners posing as browsers3,6135.6%108 MB11Other requests from an address also caught probing for weak spots.
AI crawlers3,4885.4%53 MB48AI companies gathering pages or answering a user's question, and saying so.
SEO and marketing tools2,1123.3%23 MB124Commercial tools that sell data about websites.
Unclear1,7452.7%335 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools1,7262.7%247 MB14Programs such as curl or Python, or anything with an unrecognizable name.
Automated browsers2770.4%2 MB0Loads images like a browser, but too fast for a person or with a faked browser name.
Possibly people1770.3%5 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 given950.1%<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
ExaSearchBotOther named bots4,294
PetalBotSearch engines4,109
QlyzeBotOther named bots2,924
bingbotSearch engines2,511
Amzn-SearchBotSearch engines1,779
PerplexityBotAI crawlers1,538
WordPressPostCheckerOther named bots1,104
RiverBotOther named bots761
serpstatbotSEO and marketing tools714
SERankingBacklinksBotSEO and marketing tools608
BarkrowlerSEO and marketing tools597
ApplebotSearch engines596
ChatGPT-UserAI crawlers569
SofyaBotOther named bots472
ShapBotOther named bots461

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/oscars/winners.html186
/167
/emmys/24
/calendar/19
/shows/snl.html18
/emmys/2026.html17
/oscars/2026.html15
/youtube.html13
/calendar.html11
/sag/1996.html9
/emmys/1986.html8
/festivals/venice/2019.html8

How people arrived

Referring siteHuman visitors
duckduckgo.com101
www.bing.com98
www.google.com86
tvnight.com65
search.yahoo.com37
m.baidu.com22
www.ecosia.org12
uk.search.yahoo.com9
ca.search.yahoo.com5
tvshowdb.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
43.173.0.0/16669472
77.69.0.0/165611
5.102.0.0/165252
104.207.0.0/164441
158.69.0.0/164193
43.172.0.0/16359270
192.42.0.0/1621748
141.94.0.0/1617514

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2365791,2119709791383,73085%
Oct 2467882,1966412191263,58285%
Oct 2557711,5461,060264863,30787%
Oct 2668741,8671,2723,6251107,35592%
Oct 2756941,755591841042,95382%
Oct 2873973,2031,363321145,23788%
Oct 2965762,2927566851164,19789%
Oct 3056591,6917771541183,07685%
Oct 3167751,5141,6372521563,94286%
Nov 1921211,6018336071293,86879%
Nov 272772,6271,3116101935,12489%
Nov 348701,8951,478249694,02890%
Nov 4911001,6531,553791173,97983%
Nov 547522,4011,6631,237775,68593%
Nov 654571,1751,930831924,30791%

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.