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Add --from flag: travel distance from your location

- 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

2026-08-28 16:04:11 +02:00

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newolddkprice

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

Searches DBA for used listings and PriceRunner for new prices, then gives you a side-by-side comparison with a buy / wait / buy-new recommendation.

Quick start

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

# 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

DBA — scrapes search results via requests (or Selenium). Extracts title, price, location, and URL from each <article> card.
PriceRunner — extracts embedded product JSON from the search results page. Gets the lowest new price for each product.
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.

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