Multi Store Price Tracker Amazon EBay Newegg Shopify avatar

Multi Store Price Tracker Amazon EBay Newegg Shopify

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Multi Store Price Tracker Amazon EBay Newegg Shopify

Multi Store Price Tracker Amazon EBay Newegg Shopify

Under maintenance

Monitor 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.

Pricing

from $2.00 / 1,000 results

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Chidubem Aneke

Chidubem Aneke

Maintained by Community

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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:

  1. Open your Actor → IntegrationsAdd webhook.
  2. Trigger on Actor run succeeded.
  3. In the payload filter or downstream step, keep only dataset items where alert is true.
  4. 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

StoreProduct URLSearch by keyword
Amazon
eBay
Newegg
Shopify

For Shopify, paste the product link from any store (/products/… in the URL).


How to run it

  1. Input → Product page URLs — paste the links you want to watch.
  2. Optional: add Keyword searches to find products on Amazon, eBay, or Newegg.
  3. Proxy settings — keep Residential + United States (default).
  4. Click Start.
  5. 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

FieldWhat to do
Product page URLsPaste Amazon / eBay / Newegg / Shopify product links
Keyword searchesOptional — search a store and track top results
Save price historyLeave on to track min/max/avg prices
Alert when price dropsLeave on; set Minimum price drop % (e.g. 5)
Alert when back in stockLeave on if you want restock notifications
Proxy settingsUse 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 memoryTypical timeout
1–51024 MB (1 GB)10 min
6–252048 MB (2 GB)15 min
26–502048 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.