Bot traffic: officefurniture.wholereach.com

all sites · all domains · last 15 days

All sites · All Domains · Visit officefurniture.wholereach.com

Who is really visiting officefurniture.wholereach.com?

Between Oct 23 and Nov 6, officefurniture.wholereach.com received 3,879 requests. About 97% came from automated software and about 1.8% look like real people.

That works out to about 57 human visitors, roughly 4 a day, who opened 59 pages between them. 2 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.

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.

97%of requests from bots
57human visitors (estimate)
59pages opened by people
3,879total requests, 15 days

Where the requests came from

People 1.8%Named bots 37%Disguised bots 40%Scanners 20%Unclear 0.9%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
0100200300400Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

Same days, people only, on their own scale so they are visible.

09182736Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 3,879ShareData sentBlockedby the serverWhat this means
Disguised scrapers1,50639%52 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 engines57315%18 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Break-in scanners46612%5 MB0Probing for WordPress logins, password files and other common weak spots.
Other named bots44712%20 MB7Any other software that identifies itself as a bot.
Scanners posing as browsers3238.3%4 MB0Other requests from an address also caught probing for weak spots.
AI crawlers2686.9%6 MB0AI companies gathering pages or answering a user's question, and saying so.
SEO and marketing tools1463.8%3 MB45Commercial tools that sell data about websites.
Possibly people481.2%2 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.
Scripts and tools461.2%2 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear340.9%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Likely people220.6%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines361
ClaudeBotAI crawlers136
ElevenlabsCrawlerOther named bots112
SERankingBacklinksBotSEO and marketing tools99
OAI-SearchBotAI crawlers96
ApplebotSearch engines92
meta-webindexerOther named bots74
Amzn-SearchBotSearch engines71
SofyaBotOther named bots55
DomainStatsBotOther named bots53
RiverBotOther named bots41
bingbotSearch engines35
SemrushBot-BASEO and marketing tools32
MSIE 8.0Other named bots28
ExaSearchBotOther named bots26

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/13

How people arrived

Referring siteHuman visitors
www.google.com47
m.baidu.com1
vertexaisearch.cloud.google.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
43.159.0.0/161004
88.99.0.0/16581
158.173.0.0/16512
212.47.0.0/16372
192.42.0.0/162115
179.48.0.0/16151
68.119.0.0/16141
47.79.0.0/161312

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23005412016799%
Oct 2411106740118299%
Oct 25001191326225999.2%
Oct 26111511990535798%
Oct 276610842122127997%
Oct 28001411980534499%
Oct 29001391475329499%
Oct 30231321090124798%
Oct 31221122110232998%
Nov 1007339160427699%
Nov 211657384122599%
Nov 34491147143339098%
Nov 43434498213218279%
Nov 56652192119993%
Nov 6114268235234999%

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 22:41 UTC from 15 log files.