How to Build a Notification System for High-Value Deals (Power Stations, Monitors, ETBs)
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How to Build a Notification System for High-Value Deals (Power Stations, Monitors, ETBs)

UUnknown
2026-02-21
11 min read
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Save on big-ticket tech: a 2026 technical guide to building alerts for power stations, monitors and ETBs using free tools and automations.

Never miss a blowout on big-ticket tech: build a notification system for power stations, monitors and ETBs

Hunting a deep discount on a power station, a high-end monitor, or a hot Pokémon ETB and losing the sale to an expired promo or scalper is one of the fastest ways to waste time and money. If you buy big-ticket items occasionally, you need a reliable alert stack that sifts noise, confirms legitimacy, and pushes only the wins. Below is a practical, technical guide — from free browser extensions to DIY scripts and webhook automations — to create a dependable deal alerts setup in 2026.

Executive summary — what to build first (the most important pieces)

  1. Price tracker + history (Keepa/CamelCamelCamel or retailer API) — immediate price context.
  2. Push-ready alerts (browser extension + phone push / Telegram / Slack) — real-time delivery.
  3. Filter layer (percent or absolute thresholds, seller checks) — reduce noise.
  4. Verification step (quick checks for stock, warranty, seller rating) — stop scams.
  5. Automation & stacking (IFTTT/Zapier/webhooks + cashback) — apply coupons/cashback fast.

Why 2026 is different — and why you need a smarter stack

Retailers accelerated dynamic and personalized pricing in 2024–2025, and by 2026 AI-driven flash sales and headless commerce endpoints are commonplace. Browser extension ecosystems also shifted: many formerly free extensions adopted hybrid models and tightened background scanning because of platform changes. That means you can still catch major discounts, but you must combine multiple signals (price history, inventory changes, deal posts) and use modern delivery channels (push notifications, webhooks, Telegram bots) to act fast.

  • Retailers use AI to trigger short, targeted flash discounts — alerts must be real-time.
  • Extensions moved to hybrid models under Manifest V3 constraints; pick those with reliable server-side monitors or pair multiple tools.
  • Marketplaces (Amazon, Best Buy, Walmart) make price graphs and APIs more available; use them for verification.
  • Collectibles (ETBs) and high-demand items are still volatile — low-stock triggers outperform small percent-drop alerts.

Start free. Below are the categories and tools we recommend. Mix & match depending on whether you want zero-code or a DIY approach.

Price history & trackers

  • Keepa — best for Amazon price graphs and historical context; free browser extension + paid API tier. Use the free browser plugin for quick checks, and the free alerts for basic drops.
  • CamelCamelCamel — simple Amazon price alerts and email notifications.
  • Price tracking for non-Amazon retailers: use store-specific trackers (BestBuy API, B&H API) or universal tools like OctoPrice/OctoTrack (or built-in retailer RSS feeds).

Browser extensions & on-page monitors

  • Honey / RetailMeNot — coupon autoupdaters and price history overlays.
  • Distill (Distill.io) — page-change monitoring with browser extension, reliable for product pages that lack price APIs; supports push, email, Slack, webhooks.
  • VisualPing and PageProbe — lightweight page monitors for specific DOM price elements.

Deal aggregator feeds and community signals

  • Slickdeals and Reddit (r/buildapcsales / r/GameSale / r/TCGDeals) — early community posts and verified deals.
  • RSS feeds from deal sites — convert to push via IFTTT or webhooks.

Automation & delivery

  • IFTTT / Zapier — glue between triggers (RSS, webhook) and notifications (push, SMS, Slack).
  • Telegram bot or Slack — near-instant delivery and ability to add action buttons (open link, mark as claimed).
  • Pushbullet / Pushover — phone push for instant attention.

DIY monitoring (advanced)

  • Lightweight scripts in Python (Requests + BeautifulSoup) or Node.js (Axios + Cheerio).
  • Host on a cheap VPS or serverless (Cloud Run / AWS Lambda) for frequent checks.
  • Send webhooks to Telegram or Slack via Bot API.

Step-by-step builds: from zero-code to pro

Zero-code: Quick stack to catch most deals (under 30 minutes)

  1. Install Keepa and Distill.io browser extensions. Use Keepa for Amazon price history; use Distill for pages without APIs (brand storefronts, small retailers).
  2. On Amazon product pages, enable Keepa price alerts for your desired absolute price or percent drop.
  3. On retailer product pages (e.g., EcoFlow, Jackery, Best Buy), set a Distill monitor pointed at the price DOM selector. Configure the sensitivity to match numeric changes only.
  4. Connect Distill alerts to email and your phone via Pushover or the Distill mobile app. For redundancy, add an IFTTT applet that forwards new RSS items from Slickdeals to your phone.
  5. Create a simple checklist template (saved note) you can open from the notification: verify seller, check final price incl. shipping, apply coupon, confirm return policy.
  1. Keep Keepa + Distill, and add CamelCamelCamel as a backup for Amazon alerts.
  2. Set up an RSS aggregator: add Slickdeals, deal site RSS, and specific product feeds (many retailers provide product RSS or JSON endpoints). Use IFTTT/Zapier to forward matched items to Slack or Telegram.
  3. In Zapier, add filters: price <= target OR percentage drop >= 20% OR low stock. Only forward filtered results.
  4. Create a dedicated Slack channel (private) or Telegram group for your alerts. Use action buttons (link, ignore) to triage quickly.
  5. Set up a simple Google Sheet webhook (Zapier → Google Sheets) that logs alerts for quick historical review. Add columns for final price, shipping, coupon, and buy/dismiss decision.

Pro/DYI: Custom monitor + Telegram bot + multi-check verification

For serious buyers of power stations and monitors, a custom solution reduces false positives and catches complex signals like bundle discounts and limited-time coupons.

  1. Write a small monitor script (Python or Node). Key components:
    • Fetch product page via Requests / Axios.
    • Parse price from the exact DOM element (use selectors that match only numbers).
    • Query Keepa or the retailer API for historical comparison (optional but recommended).
    • If criteria match (absolute price threshold OR percent drop OR low-stock flag), call a webhook to your Telegram bot.
  2. Host checks every 3–10 minutes on a small VPS or use serverless cron. For high-value items, 3–5 minute cadence is appropriate.
  3. Telegram bot message should include: price, shipping estimate, seller, time-stamped keepa graph link, and two inline buttons: "Open Listing" and "Verify Seller" (the latter calls a second API that pulls seller rating and return policy text).
  4. Add a second-layer check: when the inline "Verify" is clicked, run a headless fetch (Puppeteer or Playwright) to confirm the final price at checkout (inc. shipping and tax estimate where possible) before you commit.
Real-world example: using a Keepa+Distill+Telegram stack, one of our readers picked up a Jackery HomePower 3600 bundle at an exclusive price drop within 12 minutes of a vendor flash endpoint change.

Product-specific tactics

Power stations (Jackery, EcoFlow, Bluetti)

  • Watch manufacturer storefronts and brand flash sales — many bundles (panel + unit) appear briefly and then vanish.
  • Set an alert on both SKU and bundle pages; many times the standalone unit and bundles have different SKUs and different discount patterns.
  • Use low-stock and bundle price thresholds: target absolute target price (example: HomePower 3600 ≤ $1,300) rather than small percentage drops.
  • Confirm warranty transferability and authorized seller — high-value units often come with dealer warranties that matter.

Monitors (Samsung Odyssey G5 / S-series and pro displays)

  • Monitors see frequent one-day or open-box reductions. Add alerts for "open-box" listings on Best Buy and Amazon Warehouse.
  • Use percent-drop alerts (≥25–30%) and absolute price thresholds. For example, set an alert if the 32" monitor dips below your max budget (e.g., $300) or drops 30% from typical price.
  • Monitor product model numbers (G50D, G5, G7) and firmware-related SKU differences — sometimes a lesser SKU will be in clearance while the one you want is not.

ETBs and collectibles (Pokémon TCG etc.)

  • Low-stock alerts beat percent-drop alerts. For ETBs, restocks and under-market listings are rare and fleeting.
  • Track both Amazon and specialty marketplaces (TCGplayer, eBay) and set alerts for price under market median.
  • Be wary of bundle/autoship listings and scalpers. Always check seller rating and return policy; for sealed collectibles, condition and authenticity matter.

How to tune alerts to reduce noise (do this first)

  1. Set a reasonable threshold: use absolute price targets for big-ticket buys and percent-drop thresholds for mid-range items.
  2. Use AND-logic in Zapier/IFTTT: price threshold AND seller rating >= 95% AND shipping <= $X.
  3. Limit frequency: for low-priority items, poll every 30–60 minutes. For high-priority, 3–10 minutes.
  4. Whitelist sellers and retailer domains you trust; blacklist marketplaces with high fraud incidence for high-dollar items.

Verifying deals quickly (the four checks to avoid false wins)

  1. Price history check — open Keepa/CamelCamelCamel to ensure this is not a temporary misprice or listing error.
  2. Seller check — marketplace rating, past complaints, return policy.
  3. Final checkout total — calculate shipping, taxes, and coupon exclusions (sometimes a coupon applies only at cart or to selected SKUs).
  4. Warranty & support — confirm if manufacturer warranty applies when bought from this seller.

Saving more: stacking coupons, cashback and credit card perks

  • Auto-apply coupon extensions (Honey, Capital One Shopping) but verify the coupon's expiration and exclusions.
  • Use cashback portals (Rakuten, Swagbucks) when applicable — add this as a last quick check before checkout.
  • Check credit-card portal offers (Amex Offers, Chase Offers) — often additional statement credits stack with discounts.

Advanced: sample minimal Python monitor (pseudo)

Below is a compact logic overview (not full code). Use it as a blueprint for reliable alerts.

  1. Fetch product page. Parse price.
  2. Query Keepa/price history API for 30-day median.
  3. If price <= target OR (median - price) >= threshold: send Telegram message with links and keepa graph.
  4. Log event to Google Sheet via webhook.

Common mistakes and how to avoid them

  • Relying on a single signal — always combine price history + seller + stock.
  • Setting too-low thresholds — you’ll miss legitimate flash bundles. Use absolute targets informed by past lows.
  • Not accounting for shipping and taxes — a printed discount can evaporate at checkout.
  • Ignoring return/warranty terms — expensive items can be a headache if the seller is sketchy.

Checklist before you hit buy

  • Confirm final price at checkout (include shipping & tax).
  • Confirm seller’s return policy & warranty transfer.
  • Apply cashback/coupons and re-check final total.
  • Double-check SKU and model number.
  • Decide within your pre-set purchase time window (e.g., buy within 15 minutes of alert for flash deals).

Example workflows — three real scenarios

Scenario A: Jackery/EcoFlow power station flash bundle

  1. Keepa shows a sudden dip; Distill flags a storefront price change; Zapier filter checks the drop & forwards to Telegram.
  2. Telegram message includes link, keepa graph, and a button to run the headless check (confirm final checkout price). If final price OK, buy immediately and log to Google Sheets.

Scenario B: Samsung Odyssey 32" monitor (Amazon 42% off)

  1. CamelCamelCamel triggers an email; Distill monitors the Amazon listing for the "open-box" flag; Slack alert arrives with seller info.
  2. Quick checks: Keepa historical lows, Amazon Warehouse seller rating, and verify return window. If all clear, apply coupon + cashback and complete checkout.

Scenario C: Pokémon ETB historic low

  1. Low-stock alert from marketplace + Slickdeals community post. Telegram fires with price below market median from TCGplayer API.
  2. Because collectibles are volatile, buy immediately after checking seller authenticity and shipping protection (insured shipping).

Final notes on privacy and cost

Many free tools impose limits. For heavy monitoring, consider modest paid tiers (Keepa API, Distill pro) — the subscription cost can be trivial compared to a single big-ticket save. Also, review extension permissions and choose reputable vendors because you're granting them access to product pages and some browsing signals.

Actionable takeaways — what to do right now

  1. Install Keepa and Distill.io.
  2. Set a price history alert for one target product (power station or monitor) and a Distill monitor on its product page.
  3. Connect Distill/Keepa alerts to Telegram or your phone and define a single absolute target price you’d buy at.
  4. Run one quick verification checklist on the first alert you get to refine thresholds.

Why this matters in 2026

Retailers will keep experimenting with dynamic pricing and micro-flash discounts. A smart alert stack that combines price history, page-change monitors, and fast delivery to your phone or chat app gives you the edge — especially on infrequent, high-value buys like power stations or collectible ETBs.

Ready to build your system?

Start with the zero-code stack and upgrade iteratively: add Slack/Telegram automation, then a verification headless check, then a small VPS to run frequent, reliable checks. If you'd like, we publish pre-built Zapier templates and Telegram bot snippets for ScanBargains readers — sign up and get the starter bundle we use to catch exclusive lows on power stations and monitors.

Build the alerts, set the thresholds, and never miss a blowout again.

Want our starter automation pack for free? Join our alerts list or follow ScanBargains on Telegram to get pre-configured Zapier/Distill templates and a beginner-friendly Python monitor script.

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2026-02-22T09:37:38.162Z