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August 21, 2026 12:41
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Amazon price watcher in 40 lines — ASINs to a CSV history with movers, QuanticData collectors https://quanticdata.io/blog/how-to-price-watch-on-amazon/
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| """Append today's Amazon prices to a CSV and print what moved since last run. | |
| pip install requests | |
| export QD_API_KEY=qd_live_... | |
| python3 qd_price_watch.py B09XS7JWHH B09HM94VDS us | |
| The CSV is the whole database. Run it from cron; `price_value` is the numeric field | |
| (`price` keeps Amazon's formatting, which differs per marketplace). | |
| $0.003 per product. https://quanticdata.io/collectors/amazon-product-api/ | |
| Guide: https://quanticdata.io/blog/how-to-price-watch-on-amazon/ | |
| """ | |
| import csv | |
| import os | |
| import pathlib | |
| import sys | |
| import time | |
| from datetime import date | |
| import requests | |
| asins = [a for a in sys.argv[1:] if len(a) == 10] | |
| country = next((a for a in sys.argv[1:] if len(a) == 2), "us") | |
| if not asins: | |
| sys.exit("usage: python3 qd_price_watch.py <ASIN> [ASIN…] [country]") | |
| BASE = "https://api.quanticdata.io/v1" | |
| H = {"Authorization": f"Bearer {os.environ['QD_API_KEY']}"} | |
| HISTORY = pathlib.Path("prices.csv") | |
| run = requests.post(f"{BASE}/scraper/collectors/amazon_product/run", headers=H, timeout=300, | |
| json={"asins": asins, "country": country, "max_results": len(asins)}).json() | |
| if run.get("type") == "error": | |
| sys.exit(run["message"]) | |
| run = run["payload"] | |
| while run.get("status") in ("queued", "running"): | |
| time.sleep(3) | |
| run = requests.get(f"{BASE}/scraper/collectors/runs/{run['run_id']}", | |
| headers=H, timeout=60).json()["payload"] | |
| previous = {} | |
| if HISTORY.exists(): | |
| for row in csv.DictReader(HISTORY.open(encoding="utf-8")): | |
| previous[row["asin"]] = (row["date"], float(row["price_value"] or 0)) | |
| else: | |
| with HISTORY.open("w", newline="", encoding="utf-8") as fh: | |
| csv.writer(fh).writerow(["date", "asin", "price_value", "availability", "title"]) | |
| today = date.today().isoformat() | |
| with HISTORY.open("a", newline="", encoding="utf-8") as fh: | |
| w = csv.writer(fh) | |
| for p in run.get("results") or []: | |
| price = p.get("price_value") | |
| if price is None: | |
| continue | |
| w.writerow([today, p["asin"], price, p.get("availability"), (p.get("title") or "")[:80]]) | |
| was = previous.get(p["asin"]) | |
| if was and was[1] and was[1] != price: | |
| delta = 100 * (price - was[1]) / was[1] | |
| print(f"{'▲' if price > was[1] else '▼'} {p['asin']} {was[1]} → {price} " | |
| f"({delta:+.1f}% since {was[0]}) {(p.get('title') or '')[:50]}") | |
| else: | |
| print(f" {p['asin']} {price} {(p.get('title') or '')[:50]}") |
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