Bot traffic: globalfilmfests.com

all sites · all domains · last 15 days

All sites · All Domains · Visit globalfilmfests.com

Who is really visiting globalfilmfests.com?

Between Oct 23 and Nov 6, globalfilmfests.com received 765,261 requests. About 99% came from automated software and about 0.2% look like real people.

That works out to about 423 human visitors, roughly 28 a day, who opened 719 pages between them. 98 of them read more than one page.

The biggest source is software pretending to be ordinary web browsers. It usually comes from thousands of rotating addresses to avoid being blocked, and it takes content without sending any readers back.

The busiest day was Oct 31, with 204,729 requests, of which 285 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.

99%of requests from bots
423human visitors (estimate)
719pages opened by people
765,261total requests, 15 days

Where the requests came from

People 0.2%Named bots 27%Disguised bots 71%Scanners 0.6%Unclear 0.8%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
062,500125,000187,500250,000Oct 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 765,261ShareData sentBlockedby the serverWhat this means
App link sweepers340,55145%466 MB0Touches only login, app or embed links and no actual content.
Disguised scrapers200,98426%400 MB12Claims 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 bots118,61015%338 MB1,784Any other software that identifies itself as a bot.
Search engines72,8589.5%230 MB4Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
SEO and marketing tools14,3531.9%44 MB80Commercial tools that sell data about websites.
Unclear6,3860.8%42 MB27Browser name, but fetched only an image or data file and no page. Could be either.
AI crawlers4,2560.6%26 MB6AI companies gathering pages or answering a user's question, and saying so.
Break-in scanners2,9480.4%<1 MB0Probing for WordPress logins, password files and other common weak spots.
Scripts and tools1,4860.2%29 MB300Programs such as curl or Python, or anything with an unrecognizable name.
Likely people1,4730.2%56 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
Scanners posing as browsers1,2740.2%14 MB3Other requests from an address also caught probing for weak spots.
Possibly people730.0%<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.
Automated browsers50.0%<1 MB0Loads images like a browser, but too fast for a person or with a faked browser name.
No name given40.0%<1 MB0Requests that give no software name at all.

Named bots

Botas it names itselfTypeRequests
Amzn-SearchBotSearch engines30,799
meta-webindexerOther named bots30,250
QlyzeBotOther named bots29,370
ReflectionbotOther named bots21,236
AionBotOther named bots19,416
ApplebotSearch engines18,119
ElevenlabsCrawlerOther named bots16,227
PetalBotSearch engines14,875
SERankingBacklinksBotSEO and marketing tools14,166
bingbotSearch engines6,475
PerplexityBotAI crawlers3,317
YandexBotSearch engines1,279
SeznamBotSearch engines681
OAI-SearchBotAI crawlers631
SofyaBotOther named bots509

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/85
/calendar/15
/news/13
/map/8
/enter/6
/f/uk-jewish-film-festival/5
/data/5
/videos/5
/f/rengo-international-film-festival/4
/submit/4
/f/international-film-festival-rotterdam/4
/country/turkey/3

How people arrived

Referring siteHuman visitors
www.google.com68
duckduckgo.com5
www.bing.com4
noai.duckduckgo.com3
www.ecosia.org3
m.baidu.com2
www.google.de1
www.baidu.com1
www.wholetech.com1
firth.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
47.79.0.0/16122,2211,359
47.82.0.0/1681,8282,999
206.68.0.0/1614,172885
139.100.0.0/1611,3512,993
45.204.0.0/1610,9871,954
154.199.0.0/1610,8911,994
154.222.0.0/1610,4741,822
195.172.0.0/168,798708

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 2341497,70173,06822073881,81999%
Oct 24191917,77838,03851532956,69399.4%
Oct 255518,95935,04139930354,73199.4%
Oct 262910713,41916,68813016530,62199%
Oct 27779,8269,7492257219,88799.6%
Oct 2813216,38115,48410711722,14299.2%
Oct 29183346,57125,0281905771,93399.8%
Oct 3038875,99325,59914718032,08399%
Oct 319010224,663178,450689642204,72999.5%
Nov 124266,21223,41911746330,27098%
Nov 223285,23514,1631,05153821,05997%
Nov 3283912,75120,51410074734,19398%
Nov 455616,93310,41424536918,09297%
Nov 5249622,15033,8032887856,99698%
Nov 633395,50523,5725978830,01397%

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 22:44 UTC from 15 log files.