Quick verdict: For Amazon-specific tracking, Camelcamelcamel (free) and Keepa ($19/mo) are the standards. For cross-retailer monitoring, Honey (free, extension-based) covers hundreds of stores and Visualping tracks any URL. For unlimited tracking at scale, a DIY Python tracker through rotating residential proxies beats the paid tools on cost above ~1,000 SKUs.
This guide compares the 9 best price tracking tools in 2026 on retailer coverage, alert speed, historical data, pricing, and browser-extension support, plus a working DIY tracker pattern for high-volume use.
| Tool | Free? | Paid start | Coverage | Update freq |
|---|---|---|---|---|
| Camelcamelcamel | Yes (full) | N/A | Amazon (US/UK/EU) | ~hourly |
| Keepa | Limited | $19/mo | Amazon (international) | 15-30 min |
| Honey (PayPal) | Yes | N/A | ~30K stores | On-demand |
| Visualping | 2 checks/day | $13/mo | Any URL | Hourly |
| ChangeTower | 3 pages | $15/mo | Any URL | Hourly |
| Pricepulse | Free tier | $5/mo | Amazon, Walmart, eBay | ~hourly |
| PriceTracker.io | Trial | $29/mo | B2B multi-retailer | 15 min |
| Slickdeals | Yes | N/A | Community-curated multi-retailer | Real-time |
| DIY Python + residential proxy | ~$5-30/mo | N/A | Anything | As fast as you build |
Free, no account required. Full historical price chart for any Amazon ASIN. Email alerts on price drops. Coverage: US, UK, several EU markets. Update frequency: hourly-ish. The standard tool for casual Amazon shoppers.
$19/mo unlocks the API and 15-min update frequency. Longer historical depth than Camelcamelcamel, more reliable backfill, supports every Amazon marketplace (Japan, India, Brazil included). Browser extension overlays price history on every product page. Standard tool for Amazon FBA sellers and resellers.
Tracks Amazon, Walmart, and eBay in one dashboard. Cheaper than Keepa ($5-15/mo) but less depth. Good for arbitrage workflows where you compare prices across the Big-3 marketplaces.
Browser extension that auto-applies coupon codes at checkout AND tracks prices via "Droplist". Free, works on ~30K retailers. Trade-off: privacy (it sees your shopping behavior), and PayPal's 2024 acquisition has shifted product priorities.
Treats any URL as a tracked page. Emails you when the visual content changes. Works on retailers no specialized tracker covers — small e-commerce, B2B catalogs, niche marketplaces. $13/mo for 5,000 checks/day. Less specialized than Keepa for Amazon, but unmatched for the long tail.
Similar to Visualping. Free for 3 pages, $15/mo for 100 pages. Better diff visualization (side-by-side highlighting). Good for monitoring competitor product page updates, not just price.
SaaS for retailers tracking competitor prices at scale. $29-$299/mo depending on volume. Includes scraping infrastructure, dashboard, alerts. Skips the DIY work for mid-market retailers.
For unlimited custom tracking — any retailer, any frequency, any alert logic — build your own:
import requests, time, sqlite3
from bs4 import BeautifulSoup
from datetime import datetime
PROXY = "http://USER:[email protected]:8080"
proxies = {"https": PROXY}
PRODUCTS = [
("https://www.amazon.com/dp/B08N5WRWNW", "Echo Dot 5th Gen"),
("https://www.walmart.com/ip/...", "Sample"),
]
conn = sqlite3.connect("prices.db")
conn.execute(
"CREATE TABLE IF NOT EXISTS prices "
"(url TEXT, name TEXT, price REAL, ts TEXT)"
)
def amazon_price(soup):
el = soup.select_one("span.a-price > span.a-offscreen")
if not el: return None
return float(el.get_text().replace("$", "").replace(",", ""))
for url, name in PRODUCTS:
r = requests.get(url, proxies=proxies, headers={
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/130.0.0.0",
}, timeout=20)
soup = BeautifulSoup(r.text, "lxml")
p = amazon_price(soup)
if p:
conn.execute("INSERT INTO prices VALUES (?,?,?,?)",
(url, name, p, datetime.utcnow().isoformat()))
# Compare to previous
prev = conn.execute(
"SELECT price FROM prices WHERE url=? ORDER BY ts DESC LIMIT 1 OFFSET 1", (url,)
).fetchone()
if prev and p < prev[0] * 0.9:
print(f"PRICE DROP: {name} {prev[0]} -> {p}")
time.sleep(2)
conn.commit()
Cost math: 1,000 products checked hourly = 24,000 checks/day = 720,000/month. At ~25 KB per Amazon product page = 18 GB/month = $50/month at $2.75/GB residential. Compare to Keepa API at $19/mo for limited volume — DIY wins above ~5K SKUs.
For higher volumes, see our rotating proxies with Python requests guide and Amazon scraping without getting blocked for the anti-bot pattern.
| Use case | Pick |
|---|---|
| Casual Amazon shopper | Camelcamelcamel (free) |
| Amazon FBA seller / reseller | Keepa ($19/mo) |
| Multi-retailer arbitrage | Pricepulse + Honey |
| B2B price monitoring | PriceTracker.io or DIY |
| Tracking custom URLs (B2B catalogs etc) | Visualping |
| 5K+ SKUs across many retailers | DIY Python + residential proxies |