Price: $16.99 - $9.34
(as of Nov 26, 2024 22:18:48 UTC – Details)
From the author of the #1 New York Times bestselling Goodnight, Goodnight, Construction Site series. More than two million copies have sold across the series!
Created for lovers of Goodnight, Goodnight, Construction Site, as well as fans of Sherri Duskey Rinker’s storytelling and AG Ford’s art, this beautiful holiday picture book shows Excavator, Bulldozer, Crane, Dump Truck and Cement Mixer building a new home for fire engines. As they finish their big, important job, they get their own Christmas surprises. Your kids will have fun discovering the special surprise awaiting each vehicle as much as they will love rhyming along with the story. This cute book is sure to be a classic!
Art by illustrator AG Ford.
• A Christmas tale with a great message
• Teaches kids the joy of giving and the value of work
• Rhythmic patterns make reading fun
Fans of Goodnight, Goodnight, Construction Site, Mighty, Mighty Construction Site, and Excavator’s 123 will be excited about this children’s holiday book.
• Ideal Christmas gift for little ones
• Perfect book for children who like construction, trucks, fire engines, cars, and building things
• Parents, grandparents, and teachers will have fun reading this action-packed story to kids
From the brand
Bestsellers
Beloved Series
Picture Books
Early Readers
ASIN : 1452139113
Publisher : Chronicle Books; Illustrated edition (October 16, 2018)
Language : English
Hardcover : 40 pages
ISBN-10 : 9781452139111
ISBN-13 : 978-1452139111
Reading age : 2 – 4 years, from customers
Lexile measure : AD590L
Grade level : Preschool and up
Item Weight : 2.31 pounds
Dimensions : 9.95 x 0.45 x 10.4 inches
Customers say
Customers find the illustrations beautiful, cute, and engaging. They say the rhymes are fun and keep kids engaged and entertained. Readers describe the story as non-banal, warm, and fuzzy. They also mention the writing is well-written and easy to read. Overall, customers say the book is a wonderful gift for Christmas.
AI-generated from the text of customer reviews
