1966 GMC C10
What we know:
1966
Gmc
It seems like you've provided a JSON object that contains information about a vehicle listing, likely for an auction or sales platform. Here's how you might extract relevant details from this data:
1. **Vehicle Information:**
- Year/Make/Model: 1966 GMC C10 Pickup
- Engine: 383 Stroker V8 (custom)
- Description: Custom 1966 GMC C10 Pickup with a 383 Stroker V8 engine.
2. **Listing Status:**
- Listing Type: Auctions
- Listing Date: August 22, 2024 at 7:52 AM
- Start Date/Time of Auction: August 28, 2024 at 7:00 AM (Eastern Time)
3. **Bid/Price Information:**
- Current Bid: Not yet placed (null)
- Reserve Met: False (reserve price has not been met)
- Has Reserve: True (there is a reserve price set by the seller)
- Offer Count: Not available (null)
- Current Price: Not yet set (null)
4. **Image Links:**
The JSON object includes various image links with different aspect ratios for both desktop and mobile devices. You can use these to display images on your platform accordingly.
To use this data in a real-world application, you might want to parse the JSON and create variables or objects containing the extracted information. Here's a simplified example using Python:
```python
import json
json_data = '''
{
"images": {
...
},
"long_title": "Custom 1966 GMC C10 Pickup With a 383 Stroker V8",
"start_date": "2024-08-28T07:00:00-04:00",
...
}
'''
data = json.loads(json_data)
# Now you can access the data like this:
title = data['long_title']
auction_start = data['start_date']
print(f"Title: {title}")
print(f"Auction Start Date/Time: {auction_start}")
```
Last bid:
$34,000