Used Nissan cars for sale near Doncaster
Prices from just £12,998
Search 6 carsUsed Nissan cars available in Doncaster
Used Nissan cars in stock near Doncaster
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2023 (23) Nissan Leaf 160kW e+ N-Connecta 59kWh 5dr Auto
- 34,637 miles
- Used
- Electric
Only £12,998£249 Deposit + £235.91 Per month -
2025 (25) Nissan Juke 1.0 DiG-T Tekna 5dr DCT
- 14,193 miles
- Used
- Petrol
Only £18,298£249 Deposit + £314.79 Per month -
Why choose Arnold Clark?
- We offer the UK's best used car deals, guaranteed.
- Reserve your car online for a deposit of just £99.
- No hidden fees - the price you see is the price you pay.
- Click & Collect and home delivery now available.
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2025 (25) Nissan Qashqai 1.3 DiG-T MH N-Connecta 5dr
- 17,784 miles
- Used
- Petrol
Only £20,498£249 Deposit + £349.22 Per month -
2024 (24) Nissan Juke 1.0 DiG-T N-Connecta 5dr
- 33,950 miles
- Used
- Petrol
Only £13,698£249 Deposit + £229.45 Per month -
2023 (23) Nissan Qashqai 1.3 DiG-T MH N-Connecta 5dr
- 27,332 miles
- Used
- Petrol
Only £16,198£249 Deposit + £281.93 Per month -
2025 (25) Nissan Qashqai 1.3 DiG-T MH N-Connecta 5dr
- 18,026 miles
- Used
- Petrol
Only £20,498£249 Deposit + £349.41 Per month
What our customers say on Trustpilot
| Monthly Payment | £235.91 |
|---|---|
| Deposit | £249 |
| Term (Months) | 48 |
| Cash Price | £12998 |
| Credit Amount | £12749.0 |
| Completion Fee | £1 |
| Total Amount Payable | £16,466 |
| Fixed Interest Rate | 5.1% |
| Representative APR | 9.9% |
Arnold Clark Automobiles Limited is authorised and regulated by the Financial Conduct Authority (308092) for general insurance and consumer credit purposes. We act as a credit broker sourcing credit to assist with your purchase from a carefully selected panel of lenders. Lenders will pay us a fee for these introductions (click here for details including our panel of lenders and disclosure statement). Offers subject to status, terms and conditions.
* MPG figures are obtained in laboratory testing and intended for comparisons between vehicles. Please be aware they’re not intended to represent real world efficiency.