243bc9b6f5
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- Geocodes listing locations via Photon (Komoot) API - no rate limits - Shows distance in km next to location in all output formats - Uses geodesic distance (geopy) for accurate km calculation - Caches geocoded locations to avoid repeated API calls - Works with --top, --compare, --verdict, and default output - Example: --from "Farum" shows 'København V (20 km)', 'Korsør (94 km)' - Added geopy to requirements.txt
93 lines
3.6 KiB
Markdown
93 lines
3.6 KiB
Markdown
# newolddkprice
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**"Should I buy it used?"** — DBA vs PriceRunner price comparator with verdicts.
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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.
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## Quick start
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```bash
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python3 -m venv .venv && source .venv/bin/activate
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pip install -r requirements.txt
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# The go-to command:
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python3 dba_pricerunner_scraper.py "playstation 5 konsol" --pricerunner --compare --verdict
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```
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Output:
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```
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==================================================
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SHOULD I BUY IT USED? — playstation 5 konsol
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==================================================
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🤔 DECENT DEAL
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Used is only 12% cheaper (~3,500 kr vs 3,995 kr new).
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Decent savings but you lose warranty & returns.
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savings: [███░░░░░░░░░░░░░░░░░░░░░░░░░░░] 12%
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new: 3,995 kr used median: 3,500 kr range: 198–4,500 kr
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==================================================
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```
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## Verdicts
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| Verdict | When | Meaning |
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|---------|------|---------|
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| ✅ **BUY USED** | ≥20% savings | Great deal, buy used |
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| 🤔 **DECENT DEAL** | 5–20% savings | Some savings, but you lose warranty |
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| 🏷️ **BUY NEW** | <5% savings | Barely any savings — new is worth the premium |
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| ⏳ **WAIT** | Used ≥ new | Something's off, wait for better deals |
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## Options
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| Flag | Description |
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|------|-------------|
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| `--pricerunner` | Also fetch PriceRunner (new) prices |
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| `--compare` | Show side-by-side comparison table |
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| `--verdict` | Add the "should I buy it used?" recommendation |
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| `--format` | `text` (default), `markdown`, or `grid` |
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| `--top N` | Show top N results |
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| `--min-price` / `--max-price` | Filter by price (e.g. `--min-price 2000`) |
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| `--from` | Your location for distance calculation (e.g. `--from Farum`) |
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| `--json` | Output raw JSON |
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| `--engine selenium` | Use Selenium instead of requests (for JS-heavy pages) |
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## Examples
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```bash
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# Quick check: is it worth buying used?
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python3 dba_pricerunner_scraper.py "iphone 15" --pricerunner --verdict
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# Full comparison with markdown table (great for pasting into docs)
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python3 dba_pricerunner_scraper.py "samsung galaxy s24" --pricerunner --compare --verdict --format markdown
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# Filter out accessories: only look at items 2000–5000 kr
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python3 dba_pricerunner_scraper.py "playstation 5 konsol" --pricerunner --compare --verdict --min-price 2000 --max-price 5000
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# Show distances from your location (e.g. Farum)
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python3 dba_pricerunner_scraper.py "iphone 15" --from "Farum" --pricerunner --compare --verdict
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# ASCII grid for terminal
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python3 dba_pricerunner_scraper.py "xbox series x konsol" --pricerunner --compare --verdict --format grid
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# Just top 5 DBA listings (no PriceRunner)
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python3 dba_pricerunner_scraper.py "playstation 5" --top 5
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```
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## How it works
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1. **DBA** — scrapes search results via `requests` (or Selenium). Extracts title, price, location, and URL from each `<article>` card.
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2. **PriceRunner** — extracts embedded product JSON from the search results page. Gets the lowest new price for each product.
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3. **Verdict** — compares the **median used price** (DBA) against the **lowest new price** (PriceRunner) and computes savings %.
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> **Tip:** Use specific search terms (e.g. "playstation 5 konsol" not "playstation 5") to avoid accessories and games polluting the comparison.
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## Requirements
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- Python 3.10+
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- `requests`, `beautifulsoup4`, `lxml` (see `requirements.txt`)
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- Optional: `selenium` + `webdriver-manager` for the `--engine selenium` path
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## License
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MIT — do whatever you want with it.
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