SKU: 7129419487

Westin Molded Step Board lighted 72 in - Black

Sale price$267.30 Regular price$297.00
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Description

Westin Molded Step Board lighted 72 in - BlackOE style design. UV resistant black molded polymer. Extruded aluminum base board. Cradle mounted boards. Customized mounting brackets sold separately. Adds perfect finishing touch to vehicle. 5 year warranty. This Part Fits: Year Make Model Submodel 1997 1999 Chevrolet Blazer Base 1997 2004 Chevrolet Blazer LS 1997 2001 Chevrolet Blazer LT 1999 2001 Chevrolet Blazer Trailblazer 2000 2003 Chevrolet S10 Base 1997 2003 Chevrolet S10 LS 1999 2003

OE style design. UV resistant black molded polymer. Extruded aluminum base board. Cradle mounted boards. Customized mounting brackets sold separately. Adds perfect finishing touch to vehicle. 5 year warranty.

This Part Fits:

Year Make Model Submodel
1997-1999 Chevrolet Blazer Base
1997-2004 Chevrolet Blazer LS
1997-2001 Chevrolet Blazer LT
1999-2001 Chevrolet Blazer Trailblazer
2000-2003 Chevrolet S10 Base
1997-2003 Chevrolet S10 LS
1999-2003 Chevrolet S10 Xtreme
1997-2003 Chevrolet S10 ZR2
1995-1999 Chevrolet Tahoe Base
1995-1999 Chevrolet Tahoe LS
1995-1999 Chevrolet Tahoe LT
2008 Chevrolet Trailblazer Base
2002-2007 Chevrolet Trailblazer LS
2002-2009 Chevrolet Trailblazer LT
2002-2003 Chevrolet Trailblazer LTZ
2002-2004 Chevrolet Trailblazer North Face
2006-2009 Chevrolet Trailblazer SS
2021-2025 Ford Bronco Badlands
2021-2023,2025 Ford Bronco Base
2021-2025 Ford Bronco Big Bend
2021-2024 Ford Bronco Black Diamond
2022-2024 Ford Bronco Everglades
2021 Ford Bronco First Edition
2023-2025 Ford Bronco Heritage Edition
2023-2024 Ford Bronco Heritage Limited Edition
2021-2025 Ford Bronco Outer Banks
2022-2025 Ford Bronco Raptor
2021-2024 Ford Bronco Wildtrak
1995-2001 Ford Explorer Eddie Bauer
1995-2001 Ford Explorer Limited
1995-1999 Ford Explorer XL
2000-2001 Ford Explorer XL Fleet
1999-2001 Ford Explorer XLS
1995-2001 Ford Explorer XLT
1997-2000 Ford F-150 Base
2004 Ford F-150 FX4
2000 Ford F-150 Harley-Davidson Edition
2002-2003 Ford F-150 King Ranch
1997-2004 Ford F-150 Lariat
2004 Ford F-150 STX
1997-2004 Ford F-150 XL
1997-2004 Ford F-150 XLT
2004 Ford F-150 Heritage XL
2004 Ford F-150 Heritage XLT
1997-1999 Ford F-250 Base
1997-1999 Ford F-250 Lariat
1997-1999 Ford F-250 XL
1997-1999 Ford F-250 XLT
2001-2002 Ford Ranger Edge
1998 Ford Ranger Splash
1998-2002 Ford Ranger XL
1998-2002 Ford Ranger XLT
2005-2009 GMC Envoy Denali
2002-2009 GMC Envoy SLE
2002-2009 GMC Envoy SLT
2000-2001 GMC Jimmy Diamond Edition
1998-2000 GMC Jimmy Envoy
1997-1999,2001 GMC Jimmy SL
1997-2001 GMC Jimmy SLE
1997-1998 GMC Jimmy SLS
1997-2001 GMC Jimmy SLT
2000-2003 GMC Sonoma SL
1997-2001 GMC Sonoma SLE
1997-2003 GMC Sonoma SLS
1996-1997 GMC Yukon SL
1996-1997 GMC Yukon SLE
1996-1997 GMC Yukon SLT
2003,2006 Isuzu Ascender Base
2003-2005 Isuzu Ascender Limited
2003-2006 Isuzu Ascender LS
2004-2005,2007-2008 Isuzu Ascender S
1994-2004 Jeep Grand Cherokee Laredo
2005-2012 Nissan Pathfinder LE
2006-2012 Nissan Pathfinder S
2005-2010 Nissan Pathfinder SE
2005-2009 Nissan Pathfinder SE Off-Road
2011-2012 Nissan Pathfinder Silver Edition
2011-2012 Nissan Pathfinder SV
2005 Nissan Pathfinder XE
2004-2010 Nissan TITAN LE
2008-2015 Nissan TITAN PRO-4X
2011-2015 Nissan TITAN S
2004-2010 Nissan TITAN SE
2011-2015 Nissan TITAN SV
2004-2010 Nissan TITAN XE
2002-2004 Oldsmobile Bravada Base
2002-2005 Saturn Vue Base
2004-2005 Saturn Vue Red Line
2023 Toyota 4Runner 40th Anniversary Edition
2006-2024 Toyota 4Runner Limited
2020-2021 Toyota 4Runner Nightshade
2006-2009 Toyota 4Runner Sport
2006-2024 Toyota 4Runner SR5
2018-2024 Toyota 4Runner SR5 Premium
2010-2016,2021-2022 Toyota 4Runner Trail
2017-2024 Toyota 4Runner TRD Off-Road
2018-2024 Toyota 4Runner TRD Off-Road Premium
2015-2024 Toyota 4Runner TRD Pro
2022-2024 Toyota 4Runner TRD Sport
2020-2021 Toyota 4Runner Venture
2001-2007 Toyota Highlander Base
2001-2007 Toyota Highlander Limited
2006-2007 Toyota Highlander Sport
1999-2015 Toyota Tacoma Base
1999-2000,2023 Toyota Tacoma Limited
1999-2015 Toyota Tacoma Pre Runner
2001-2004 Toyota Tacoma S-Runner
2016-2023 Toyota Tacoma SR
1999-2000,2016-2023 Toyota Tacoma SR5
2023 Toyota Tacoma Trail Special Edition
2016-2023 Toyota Tacoma TRD Off-Road
2015,2023 Toyota Tacoma TRD Pro
2016-2023 Toyota Tacoma TRD Sport
2005-2013 Toyota Tacoma X-Runner
2000-2006 Toyota Tundra Limited
2000-2006 Toyota Tundra SR5
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SKU: 7129419487

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4.5 ★★★★★
Based on 15 reviews
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Product Reviews
S
Verified Purchase
Sherrie Walling
Massapequa, US
★★★★★ 3
Cheap
Color: Carbonized Brown
Cheaply made
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 18, 2026
M
Verified Purchase
Michelle Barcus
Draper, US
★★★★★ 5
Very well built
Color: White
Yes it was really nice my granddaughter love's the jewelery box
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 18, 2025
B
BlueTeej
Bozeman, US
★★★★★ 4
Lots of storage space, great mirrors, has paint scent
Color: White
You can store a lot in this! There are a lot of good things to say about this. It's cute, has tons of mirror space and room to store jewelry, seems pretty sturdy as far as the wood parts go, and could also be used as Barbie furniture for a girl with a little imagination--a perfect armoire! It's the perfect height for a Barbie doll. So, there is space for non-dangly earrings to be placed in holes, a section under that for necklaces or bigger earrings, four small spots on top for necklaces or other chains, a larger section there, five drawers, four long necklace spots to hang them with catch sections underneath, and a space for a lot of rings. There are also eight hangers for short chains or earrings. Quality wise, it is decent, but maybe not fantastic. Most of the wood aspects seem strong and built well, except the part that stores rings comes out completely and can be a tiny bit of a challenge to put back in a way that it fits right. The cardboard inserts are a little flimsy. I think if a child used this and pulled down on one of the necklace holders, it might not spring back into place, and then would be useless after that. The cardboard insert on the top for the stud earrings also seems like it will get misshapen pretty easily. The biggest negative, and is one I am not sure I can get beyond, but time will tell, is the strong paint odor of it. It smells like a bedroom smells immediately after it gets painted--that kind of smell that tells you perhaps you should sleep somewhere else for a night. That smell fades, though. I hope this smell also fades because it seems too strong to give to a child, and this is advertised as for a woman or girl (which I assume is a child.) So, size wise and usage is generally good for this. If the paint smell fades, I will be fully satisfied with it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 18, 2025
K
Kirsten
Los Angeles, US
★★★★★ 5
Holds a decent amount of jewelry!
Color: Carbonized Brown, Color: Carbonized Brown
I was quite impressed with this little jewelry box. Although it is on the smaller side, it utilizes every bit of the storage space available really well. I’d ultimately love to get a bigger armoire- as it is, this jewelry box contains what I wear most often, but I have a larger collection than this particular jewelry box can hold- my plan is to find a larger jewelry armoire that resembles what my mother had because I loved that one and then passed this one down to my daughter who loves it. For its size, it does absolutely hold a lot. I definitely underestimated how much it would hold. I love that there are drawers and well. I would love to see the ring area hinged so that I don’t have to reposition it when I’m done grabbing my rings, I think it’s a really cool, unique way to approach that particular area. I love that every little bit at this jewelry box is designed to have utility. I hate wasting space and time and I love good organization so it’s been really nice being able to pack as much as I can in there. The top opens up to space for earrings and other miscellaneous items. There are both open and more structured components. And the space for bracelets rotates, which is really nice- I didn’t realize that it rotated and I was a little bit worried that I was gonna constantly knock things down while I was reaching through or something. There is lots of room inside both doors for necklaces, and it fits a lot more than I thought it would. The wood stain is a really pretty kind of ashy natural stain- the sort of grey tint is really nice and it’s gorgeous. I’m not a huge fan of mirrors as far as the front goes, but I do have an artist in house who is really good at coming up with stuff for this, just a little ways to put art in your every day, so I’ll probably have her paint over. The jewelry box also doesn’t take much space up at all. While I am looking for something with a little bit larger footprint, I don’t necessarily want to waste a bunch of real estate in the meantime so I’m really pleased with how compact it is. This is a great little jewelry box - as I mentioned it doesn’t house all of my jewelry, but that’s because my collection is mostly heirloom and I don’t want to take it out from where it is right now. If it were larger, I would probably do so but for now it just houses my everyday items and a little bit extra. I think it’s great and I’m super happy with it!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 17, 2026
X
Verified Purchase
0x00000000:00000000
Los Angeles, US
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier. Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas. However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon). As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful. Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics). I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book. In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 18, 2017

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