Multi Store Price Tracker Amazon EBay Newegg Shopify
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Multi Store Price Tracker Amazon EBay Newegg Shopify
Under maintenanceMonitor Amazon, eBay, Newegg & Shopify prices and stock in one run. Detect price drops, restocks, and changes. Build history, filter alerts, and send results to Slack, Sheets, or Zapier.
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from $2.00 / 1,000 results
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Chidubem Aneke
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Track prices on Amazon, eBay, Newegg & Shopify
Stop refreshing product pages manually. This Actor watches your products for price changes, stock changes, and restocks — then saves the results and flags what matters.
Works on Amazon, eBay, Newegg, and Shopify product pages.
Who is this for?
- Deal hunters waiting for a price drop
- Sellers tracking competitors
- Dropshippers monitoring source costs
- Researchers building price datasets
What you get
Every run checks each product and returns:
- Current price and was price
- In stock or out of stock
- Price changed? and by how much (%)
- Alert flag when something important happened
- Price history (low / high / average) over time
- Title, seller, ratings, reviews, and images when available
Rows with alert = true are the ones worth acting on — price drops, restocks, or stock changes you configured.
Alerts & webhooks
When a run finds a meaningful change, the product row gets alert = true. Use that to notify yourself or pipe data elsewhere:
- Open your Actor → Integrations → Add webhook.
- Trigger on Actor run succeeded.
- In the payload filter or downstream step, keep only dataset items where alert is true.
- Send to Slack, email, Google Sheets, Zapier, or any HTTP endpoint.
Tip: Schedule daily runs so alerts compare today’s prices against yesterday’s baseline.
Supported stores
| Store | Product URL | Search by keyword |
|---|---|---|
| Amazon | ✅ | ✅ |
| eBay | ✅ | ✅ |
| Newegg | ✅ | ✅ |
| Shopify | ✅ | — |
For Shopify, paste the product link from any store (/products/… in the URL).
How to run it
- Input → Product page URLs — paste the links you want to watch.
- Optional: add Keyword searches to find products on Amazon, eBay, or Newegg.
- Proxy settings — keep Residential + United States (default).
- Click Start.
- Run again later (or Schedule daily) to detect changes.
Important: The first run only saves baseline prices — alerts start on the second run.
Input quick guide
| Field | What to do |
|---|---|
| Product page URLs | Paste Amazon / eBay / Newegg / Shopify product links |
| Keyword searches | Optional — search a store and track top results |
| Save price history | Leave on to track min/max/avg prices |
| Alert when price drops | Leave on; set Minimum price drop % (e.g. 5) |
| Alert when back in stock | Leave on if you want restock notifications |
| Proxy settings | Use US Residential (default) |
Recommended run settings: memory depends on how many products you monitor (see below). 2 GB is the safe default in Console; smaller jobs can use 1 GB to save cost.
Memory & cost (dynamic sizing)
This Actor scales with how many product pages it opens:
| Products to check (URLs + search results) | Recommended memory | Typical timeout |
|---|---|---|
| 1–5 | 1024 MB (1 GB) | 10 min |
| 6–25 | 2048 MB (2 GB) | 15 min |
| 26–50 | 2048 MB (2 GB) | 15 min |
| 50+ | 4096 MB (4 GB) | 20 min |
Console: use Run options → Memory and pick the tier for your input. The run log warns if memory looks too low or suggests 1 GB when you can save ~50% compute cost.
API / schedules: use npm run start-apify-run -- your-input.json (sets memory and timeout automatically from input size).
Example workflows
Catch a deal on Amazon
Add the /dp/… URL → set 5% drop threshold → schedule once per day.
Track a competitor on eBay
Add their listing URLs → enable “Alert on any price change”.
Monitor PC parts on Newegg
Search “Samsung SSD” or paste part URLs directly.
Watch a Shopify brand
Add that store’s /products/… links.
FAQ
Why no alert the first time?
Nothing to compare yet. Run it at least twice.
Do I need my own proxies?
No — enable Apify Proxy (US Residential) in Input.
Can I monitor any Shopify store?
Yes, with a public product URL.
Tips
- Start with 5–10 products, then scale up.
- Schedule daily or twice daily for best results.
- Filter your dataset for alert = true to see only changes that matter.
Questions? Visit our GitHub repo.
Use responsibly and follow each store’s terms of service.