Christmas Price Tracker: When to Buy Gifts Cheapest

To buy Christmas gifts at the lowest price, track each gift's price from early November, compare every new price with that gift's own season low and 30-day median, and buy when it's within about 5% of the low or the shipping cut-off is a few days away. In 2026, USPS recommends shipping by 17-19 December for delivery by Christmas.

The rest of this page covers the December-specific part of holiday price tracking: the dates that matter in the US and UK, why a gift watchlist works better than deal pages, a script that turns your snapshots into "buy now" or "wait", and a schedule. For the full season calendar, see the retail sales calendar.

The Christmas timeline for 2026

Retailers publish their own Christmas delivery cut-offs, which can differ from the postal service's; use the earliest one that applies to your order. In the UK, Royal Mail publishes its last posting dates on its website each autumn; check the current year's table rather than last year's, because the weekdays change.

Why a watchlist beats deal pages

Deal pages and "top 50 gifts" lists change every day, so you can't compare them over time. A watchlist is a fixed set of product URLs you check on a schedule. It gives you three things a deal page can't:

1. A price history per gift, so you know whether today's "20% off" is lower than what it cost two weeks ago.
2. Stock-outs. Popular toys and gadgets can sell out in December. If a gift flips to out-of-stock at one store, you see it the same day and can buy elsewhere.
3. A comparison across stores. The same LEGO set at Target and Walmart is two URLs in the same list.

Keep the watchlist to the products you'd actually buy, plus one or two alternatives for each gift in case the first choice sells out.

Capture snapshots of the watchlist

Any scraper that returns price, stock and a timestamp per URL works. The example below uses the E-commerce Product Scraper Pro actor through Apify's run-sync API with plain fetch (Node 18+). Monitor mode compares each run with the previous run of the same input and labels each row.

// Node 18+ (built-in fetch). Run: APIFY_TOKEN=... node gift_watch.mjs
const input = {
  listingUrls: [
    { url: "https://www.target.com/s?searchTerm=lego" },
    { url: "https://www.walmart.com/search?q=lego" },
  ],
  monitorMode: true,      // compare with the previous run of this exact input
  onlyChanges: false,     // keep every row, so each run is a full snapshot
  maxItemsPerStartUrl: 2,
  maxProductResults: 4,
};
const url = "https://api.apify.com/v2/acts/constructive_calm~ecommerce-product-scraper-pro/run-sync-get-dataset-items"
  + "?maxTotalChargeUsd=0.10&fields=site,name,price,currency,inStock,changeType,previousPrice";
const res = await fetch(url, {
  method: "POST",
  headers: { "Content-Type": "application/json", Authorization: `Bearer ${process.env.APIFY_TOKEN}` },
  body: JSON.stringify(input),
});
const rows = await res.json();
console.table(rows.map((r) => ({ ...r, name: r.name.slice(0, 40) })));

Real output from 2026-10-20. The same input had run two days earlier, so every row is compared with that run:

┌─────────┬──────────────┬────────────────────────────────────────────┬───────┬──────────┬─────────┬─────────────┬───────────────┐
│ (index) │ site         │ name                                       │ price │ currency │ inStock │ changeType  │ previousPrice │
├─────────┼──────────────┼────────────────────────────────────────────┼───────┼──────────┼─────────┼─────────────┼───────────────┤
│ 0       │ 'target'     │ 'LEGO Minifigures Shrek Series Mystery Bo' │ 4.99  │ 'USD'    │ true    │ 'unchanged' │ 4.99          │
│ 1       │ 'target'     │ 'LEGO Marvel Spider-Man vs. Anti-Venom He' │ 4.99  │ 'USD'    │ true    │ 'unchanged' │ 4.99          │
│ 2       │ 'walmart-us' │ 'LEGO Creator 3 in 1 Cute Hamster with a ' │ 9.97  │ 'USD'    │ true    │ 'unchanged' │ 9.97          │
│ 3       │ 'walmart-us' │ 'LEGO Creator 3 in 1 Turtle with a Water ' │ 7.99  │ 'USD'    │ true    │ 'unchanged' │ 7.99          │
└─────────┴──────────────┴────────────────────────────────────────────┴───────┴──────────┴─────────┴─────────────┴───────────────┘

Search pages are handy to discover candidates. For the real watchlist, paste the chosen product URLs into detailsUrls instead, because search results reorder from day to day. Two practical notes from the actor's README:

• Monitor state is keyed by the exact set of input URLs. Add or remove one URL and the next run starts a fresh comparison, so settle the list before 1 November, or run late additions as a second list.
• changeType is one of new, price-up, price-down, back-in-stock, out-of-stock, changed, unchanged or removed. For gifts, out-of-stock is the one to alert on.

Turn snapshots into "buy now" or "wait"

Export each run's rows (date, gift, price) into one CSV. This script compares the latest price with the season low and the 30-day median, and switches to "buy" once the shipping deadline is close. The CSV values below are made-up examples to show the logic, not real prices.

date,gift,price
2026-11-02,lego-set,49.99
2026-11-09,lego-set,49.99
2026-11-16,lego-set,44.99
2026-11-27,lego-set,34.99
2026-12-04,lego-set,39.99
2026-12-09,lego-set,39.99
2026-11-02,headphones,199.00
2026-11-09,headphones,199.00
2026-11-16,headphones,179.00
2026-11-27,headphones,149.00
2026-12-04,headphones,169.00
2026-12-09,headphones,159.00

import csv
from collections import defaultdict
from datetime import date
from statistics import median

TODAY = date(2026, 12, 9)
ORDER_BY = date(2026, 12, 17)   # your carrier's/retailer's last safe order date

history = defaultdict(list)
for row in csv.DictReader(open("gift_history.csv")):
    history[row["gift"]].append((date.fromisoformat(row["date"]), float(row["price"])))

days_left = (ORDER_BY - TODAY).days
for gift, points in history.items():
    points.sort()
    now = points[-1][1]
    low = min(p for _, p in points)
    base = median(p for d, p in points if (TODAY - d).days <= 30)
    gap = (now - low) / low * 100
    if days_left <= 3:
        verdict = "buy now: shipping window closing"
    elif gap <= 5:
        verdict = "buy: within 5% of the season low"
    else:
        verdict = f"wait: {gap:.0f}% above the season low, {days_left} days left"
    print(f"{gift:<11} now {now:>7.2f}  low {low:>7.2f}  30-day median {base:>7.2f}  -> {verdict}")

lego-set    now   39.99  low   34.99  30-day median   39.99  -> wait: 14% above the season low, 8 days left
headphones  now  159.00  low  149.00  30-day median  169.00  -> wait: 7% above the season low, 8 days left

Tune the two thresholds to your own patience: 5% and 3 days are starting points. If a gift goes out-of-stock at your preferred store while it's in stock elsewhere, that overrides "wait".

A Christmas schedule

To get the price-down and out-of-stock rows to your phone, connect the run to email or Slack; the price drop alerts guide shows how.

Which stores this covers

The actor's supported-sites matrix decides where the watchlist works. For Christmas shopping in the US, Amazon, Walmart and Target are supported, and so is any Shopify or WooCommerce gift shop. Best Buy, Costco, Kohl's, Barnes & Noble and eBay are listed as unsupported, so track those by hand or with another tool. In the UK, John Lewis and Marks & Spencer are supported and amazon.co.uk is best-effort; Argos, Smyths Toys, Boots and Next are unsupported.

What it costs

Pricing is pay per event; the README lists every event per tier. On the FREE tier: $0.0048 per product row, $0.0012 per unchanged product with onlyChanges, $0.005 per run start. Target, Walmart and amazon.com pages go through datacenter connections, so there's no residential traffic fee on them.

Worked example, 60 gift URLs on Target and Walmart, FREE tier:

• 4 weekly full snapshots in November: 4 × (60 × $0.0048 + $0.005) = 4 × $0.293 = $1.172
• 19 daily checks in December with onlyChanges, if nothing changes: 19 × (60 × $0.0012 + $0.005) = 19 × $0.077 = $1.463
• Each product that does change in a December run costs $0.0048 instead of $0.0012.

So about $2.64 for the season before changes, inside Apify's free plan ($5 of usage every month, no credit card required). The actor has no free trial of its own. On GOLD, the same rows are $0.0008 and $0.0002.

If you'd rather not write code, the free e-commerce price tracker query builder builds the input for you and shows a fixed example of the output shape.

Related guides

• Retail sales calendar 2026-2027
• Black Friday price tracker
• Back in stock alerts
• Boxing Day sales tracker (UK)

Disclosure: I built the Apify actor and this site. The buy-or-wait script works on prices from any source.

Sources: USPS: 2026 holiday shipping dates, GOV.UK bank holidays, Wikipedia: Green Monday, the actor's README (supported sites, monitor mode, pricing table), and a live actor run on 2026-10-20.