1965 Chevrolet Biscayne

It seems like you've provided a large JSON object containing details about an auction. Here's a breakdown of the information it contains: **Auction Details:** - The item up for auction is a customized 1965 Chevrolet Biscayne that was formerly owned by Dale Earnhardt, Jr. - **Dimensions and Ratings:** Not specified in the provided JSON. - **Condition:** Not specified in the provided JSON. You might need to look into other fields or external services for this information. - **Starting Date and Time:** July 23, 2024, at 7:00 AM (Eastern Standard Time) - **Current Bid:** $47,000 - **Reserve Met:** False. This means the highest bid has not yet reached the reserve price (if any). - **Featured:** False. This item is not featured or highlighted in any way. - **Offer Count:** Null. This might indicate that no offers have been made yet. - **Listing Date and Time:** July 22, 2024, at 1:36 PM - **Listing Type:** Auctions **Image URLs:** The JSON contains various URLs for images of different sizes: - xs (extra small): 120x120 pixels - xs (full image) - s (small): Not specified which dimensions - m (medium): Not specified which dimensions - l (large): Not specified which dimensions - xl (extra large): Not specified which dimensions These URLs can be used to display the item's images on a website or application, with the size determined by the screen resolution or design requirements. **Additional Information:** The JSON does not contain information about the seller, the auction house, the location of the item, any description or history of the vehicle, its mileage, mechanical condition, or other typical details you might expect to see in an auction listing. You may need to obtain this additional information from other sources. To display this data on a website or application, you would typically map each field to the corresponding HTML element (like `<img>`, `<h2>`, `<p>`, etc.) and dynamically load the content into those elements based on the JSON data provided. You might use JavaScript with libraries like jQuery or React to achieve this.

Last bid: $47,000