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Scarlet Boots

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Price

Last scan Nov 6, 2026, 00:00 UTC

Last seen price on Akama (US)

857,816g 1s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
857,816g 1s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 134 scans
How prices are measured
  • Scarlet Boots
  • Item Level: 20
  • Binds when equipped
  • FeetMail
  • Required Level: 13
  • Sell price: 3g 33s 18c
Sources: dropped by 2 sources

Sources

  • Drops from 2 sources.

Dropped by, 2 sources

  • Scarlet Judicator
  • Scarlet Zealot

Most sources come from published game data.

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Market

Akama (US)

Price History

Akama (US)
Low
350,000g 81s 0c
Average
1,126,819g 4s 69c
High
1,745,207g 51s 0c
Samples
134
The 7-day average needs at least a week of history; pick a wider range than 1D.Show the 7-day average market price
Price history for Scarlet Boots, 1 week, Akama (US)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 00900,369g900,369g1
Mar 2, 00900,369g900,369g2
Mar 3, 00900,369g900,369g1
Mar 4, 00900,369g900,369g1
Mar 8, 00940,168g940,168g1
Mar 9, 00941,245g941,245g1
Mar 11, 00941,245g941,245g1
Mar 13, 00956,289g956,289g1
Mar 17, 001,000,642g1,000,642g1
Mar 19, 001,000,642g1,000,642g2
Mar 21, 001,000,642g1,000,642g1
Mar 23, 001,005,820g1,005,820g1
Mar 27, 00699,999g699,999g2
Apr 1, 00942,351g942,351g2
Apr 3, 00942,351g942,351g1
Apr 6, 00944,396g944,396g1
Apr 7, 00944,396g944,396g1
Apr 10, 00932,716g932,716g1
Apr 11, 00932,716g932,716g1
Apr 12, 00934,692g934,692g1
Apr 13, 00934,692g934,692g1
Apr 14, 00940,413g940,413g1
Apr 15, 00940,413g940,413g1
Apr 16, 00940,413g940,413g1
Apr 17, 00940,413g940,413g2
Apr 18, 00940,413g940,413g1
Apr 19, 00940,413g940,413g1
Apr 20, 00958,514g958,514g1
Apr 21, 00958,514g958,514g2
Apr 22, 00958,514g958,514g1
Apr 23, 00945,040g945,040g1
Apr 24, 00945,040g945,173g1
Apr 25, 00946,109g946,109g1
Apr 26, 00946,109g946,109g1
Apr 27, 00945,153g945,153g1
Apr 28, 00945,153g945,153g1
Apr 29, 00998,164g998,164g1
Apr 30, 00998,164g998,164g1
May 1, 00998,164g998,164g1
May 5, 00984,126g984,126g1
May 6, 00984,126g984,126g1
May 7, 001,014,512g1,014,512g2
May 8, 001,014,512g1,014,512g2
May 9, 001,014,512g1,014,512g2
May 10, 001,141,479g1,141,479g1
May 11, 001,141,479g1,141,479g1
May 12, 001,141,479g1,141,479g1
May 13, 001,173,041g1,173,041g1
May 14, 001,173,041g1,173,041g1
May 16, 001,151,382g1,151,382g1
May 17, 001,151,382g1,151,382g1
May 18, 001,151,382g1,151,382g1
May 20, 001,151,382g1,151,382g1
May 21, 001,151,382g1,151,382g1
May 22, 001,151,382g1,156,522g1
May 23, 001,159,091g1,159,091g1
May 24, 001,159,091g1,159,091g2
May 25, 001,159,091g1,159,091g2
May 26, 001,159,091g1,159,091g1
May 29, 001,156,927g1,156,927g1
May 30, 001,156,927g1,156,927g1
May 31, 001,156,950g1,156,950g1
Jun 2, 001,140,468g1,140,468g1
Jun 4, 001,180,000g1,180,000g1
Jun 5, 001,180,000g1,180,000g2
Jun 6, 001,180,000g1,180,000g1
Jun 8, 001,169,277g1,169,277g1
Jun 9, 001,169,277g1,169,277g1
Jun 11, 001,169,277g1,188,458g1
Jun 12, 001,226,821g1,226,821g2
Jun 13, 001,226,821g1,226,821g2
Jun 14, 001,143,994g1,143,994g1
Jun 17, 001,159,347g1,159,347g1
Jun 18, 001,159,347g1,159,347g1
Jun 19, 001,224,418g1,224,418g1
Jun 20, 001,224,418g1,342,792g1
Jun 21, 001,382,250g1,382,250g2
Jun 25, 001,448,541g1,448,541g1
Jun 26, 001,448,541g1,448,541g1
Jun 28, 001,632,441g1,632,441g1
Jun 29, 001,632,441g1,632,441g1
Jun 30, 001,632,441g1,632,441g1
Jul 1, 001,745,208g1,745,208g1
Jul 2, 001,745,208g1,745,208g1
Jul 3, 001,745,208g1,745,208g1
Jul 8, 001,673,415g1,673,415g1
Jul 9, 001,673,415g1,673,415g1
Jul 10, 001,673,415g1,673,415g1
Jul 11, 001,673,415g1,673,415g1
Jul 22, 001,488,729g1,488,729g1
Jul 23, 001,488,729g1,488,729g1
Jul 25, 00700,001g700,001g1
Jul 26, 00700,001g700,001g1
Jul 30, 00350,001g350,001g1
Jul 31, 00350,001g350,001g1
Aug 1, 00350,001g350,001g1
Aug 4, 001,653,092g1,653,092g1
Aug 5, 001,653,092g1,653,092g2
Aug 6, 001,653,092g1,653,092g1
Aug 7, 001,613,170g1,613,170g1
Aug 8, 001,613,170g1,613,170g1
Aug 9, 001,613,170g1,613,170g1
Aug 20, 00500,001g500,001g1
Aug 21, 00500,001g500,001g1
Aug 22, 00500,001g500,001g1
Aug 23, 00750,001g750,001g1
Aug 24, 00750,001g750,001g1
Aug 25, 00750,001g750,001g1
Aug 27, 001,446,606g1,446,606g1
Aug 28, 001,446,606g1,446,606g1
Aug 29, 001,446,606g1,446,606g1
Aug 30, 00650,001g650,001g1
Aug 31, 00650,001g650,001g1
Sep 3, 001,447,643g1,447,643g2
Sep 4, 001,447,643g1,447,643g2
Sep 5, 001,447,643g1,447,643g2
Sep 6, 001,480,735g1,480,735g1
Sep 7, 001,480,735g1,480,735g1
Sep 8, 001,480,735g1,480,735g1
Sep 11, 00850,001g850,001g1
Sep 12, 00850,001g850,001g1
Sep 13, 00850,001g850,001g1
Sep 30, 001,519,809g1,519,809g1
Oct 1, 001,519,809g1,519,809g1
Oct 2, 001,519,809g1,519,809g1
Oct 7, 001,521,477g1,521,477g1
Oct 8, 001,521,477g1,521,477g1
Oct 9, 001,521,477g1,521,477g1
Oct 25, 00987,879g987,879g1
Oct 26, 00987,879g987,879g1
Oct 27, 00987,879g987,879g1
Nov 4, 00857,816g857,816g1
Nov 5, 00857,816g857,816g1
Nov 6, 00857,816g857,816g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Scarlet Boots
Day (UTC)AverageUnits listed
Nov 6857,816g 1s 0c1
Nov 5857,816g 1s 0c1
Nov 4857,816g 1s 0c1
Oct 27987,879g 41s 0c1
Oct 26987,879g 41s 0c1
Oct 25987,879g 41s 0c1
Oct 91,521,477g 14s 0c1
Oct 81,521,477g 14s 0c1
Oct 71,521,477g 14s 0c1
Oct 21,519,808g 93s 0c1
Oct 11,519,808g 93s 0c1
Sep 301,519,808g 93s 0c1
Sep 13850,000g 81s 0c1
Sep 12850,000g 81s 0c1
Sep 11850,000g 81s 0c1
Sep 81,480,734g 53s 0c1
Sep 71,480,734g 53s 0c1
Sep 61,480,734g 53s 0c1
Sep 51,447,643g 25s 0c2
Sep 41,447,643g 25s 0c2
Sep 31,447,643g 25s 0c2
Aug 31650,000g 81s 0c1
Aug 30650,000g 81s 0c1
Aug 291,446,606g 29s 0c1
Aug 281,446,606g 29s 0c1
Aug 271,446,606g 29s 0c1
Aug 25750,000g 81s 0c1
Aug 24750,000g 81s 0c1
Aug 23750,000g 81s 0c1
Aug 22500,000g 81s 0c1

Sparse data for 1 week: showing all available history.

Trading hours: the cheaper and dearer hours of the week, in UTC

Trading Hours

See when Scarlet Boots tends to trade below or above its usual price, based on the last 30 days.

The grid follows the auction week in UTC.

Loading trading hours
Cheaper than usualTypicalMore expensive than usualLimited data