# newolddkprice

**"Should I buy it used?"** — DBA vs PriceRunner price comparator with verdicts.

Searches [DBA](https://www.dba.dk) for used listings and [PriceRunner](https://www.pricerunner.dk) for new prices, then gives you a side-by-side comparison with a **buy / wait / buy-new** recommendation.

## Quick start

```bash
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

# The go-to command:
python3 dba_pricerunner_scraper.py "playstation 5 konsol" --pricerunner --compare --verdict
```

Output:

```
==================================================
  SHOULD I BUY IT USED? — playstation 5 konsol
==================================================
  🤔 DECENT DEAL
  Used is only 12% cheaper (~3,500 kr vs 3,995 kr new).
  Decent savings but you lose warranty & returns.
  savings: [███░░░░░░░░░░░░░░░░░░░░░░░░░░░] 12%
  new: 3,995 kr   used median: 3,500 kr   range: 198–4,500 kr
==================================================
```

## Verdicts

| Verdict | When | Meaning |
|---------|------|---------|
| ✅ **BUY USED** | ≥20% savings | Great deal, buy used |
| 🤔 **DECENT DEAL** | 5–20% savings | Some savings, but you lose warranty |
| 🏷️ **BUY NEW** | <5% savings | Barely any savings — new is worth the premium |
| ⏳ **WAIT** | Used ≥ new | Something's off, wait for better deals |

## Options

| Flag | Description |
|------|-------------|
| `--pricerunner` | Also fetch PriceRunner (new) prices |
| `--compare` | Show side-by-side comparison table |
| `--verdict` | Add the "should I buy it used?" recommendation |
| `--format` | `text` (default), `markdown`, or `grid` |
| `--top N` | Show top N results |
| `--min-price` / `--max-price` | Filter by price (e.g. `--min-price 2000`) |
| `--from` | Your location for distance calculation (e.g. `--from Farum`) |
| `--json` | Output raw JSON |
| `--engine selenium` | Use Selenium instead of requests (for JS-heavy pages) |

## Examples

```bash
# Quick check: is it worth buying used?
python3 dba_pricerunner_scraper.py "iphone 15" --pricerunner --verdict

# Full comparison with markdown table (great for pasting into docs)
python3 dba_pricerunner_scraper.py "samsung galaxy s24" --pricerunner --compare --verdict --format markdown

# Filter out accessories: only look at items 2000–5000 kr
python3 dba_pricerunner_scraper.py "playstation 5 konsol" --pricerunner --compare --verdict --min-price 2000 --max-price 5000

# Show distances from your location (e.g. Farum)
python3 dba_pricerunner_scraper.py "iphone 15" --from "Farum" --pricerunner --compare --verdict

# ASCII grid for terminal
python3 dba_pricerunner_scraper.py "xbox series x konsol" --pricerunner --compare --verdict --format grid

# Just top 5 DBA listings (no PriceRunner)
python3 dba_pricerunner_scraper.py "playstation 5" --top 5
```

## How it works

1. **DBA** — scrapes search results via `requests` (or Selenium). Extracts title, price, location, and URL from each `<article>` card.
2. **PriceRunner** — extracts embedded product JSON from the search results page. Gets the lowest new price for each product.
3. **Verdict** — compares the **median used price** (DBA) against the **lowest new price** (PriceRunner) and computes savings %.

> **Tip:** Use specific search terms (e.g. "playstation 5 konsol" not "playstation 5") to avoid accessories and games polluting the comparison.

## Requirements

- Python 3.10+
- `requests`, `beautifulsoup4`, `lxml` (see `requirements.txt`)
- Optional: `selenium` + `webdriver-manager` for the `--engine selenium` path

## License

MIT — do whatever you want with it.