PriceRadar — Universal Competitor Price Tracker

Automated competitor price monitoring, price comparison, and market positioning for any product URL. Paste a product link from Amazon, Walmart, Target, Best Buy, Fnac, eBay, Shopify or your own store — get back every competitor selling the same item, their current price, your rank in the market, and a suggested pricing action. One row per competitor, ready for Excel, Google Sheets, BI tools, or your own pricing engine.

Works on the biggest retailers worldwide:

🛒 Amazon (US, UK, DE, FR, IT, ES, CA, JP, …) · 🏬 Walmart · 🎯 Target · 🔵 Best Buy · 🇫🇷 Fnac · 🇫🇷 Cdiscount · 🇩🇪 Otto · 🇬🇧 Argos · 🇬🇧 Currys · 🇺🇸 Home Depot · 🇺🇸 Lowe's · 🇺🇸 Costco · 🇺🇸 Newegg · 🛍️ eBay · Shopify stores · WooCommerce stores · Etsy · AliExpress · plus any independent retailer Google can find.

Built for ecommerce sellers, brand managers, repricing teams, MAP-policy enforcement, and dropshippers who need a real answer to "who else is selling this and for how much?" — without manually searching Google.

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Why use this actor

• Universal product matching — works on any retailer, not a hardcoded list. Returns true product matches, not lookalikes.
• Currency-safe — competitor prices in other currencies are dropped, never silently converted. Your numbers are always comparable.
• Decision-ready output — every row includes your rank, % vs market average, % vs cheapest, and a suggested action (e.g. Cheapest in market, Above market avg).
• Handles Amazon, Walmart, Target, Best Buy, Fnac, eBay & Cloudflare-protected stores — see the API key section below.
• Resumable — re-running the same input picks up where it stopped. No wasted credits.
• Parallel by default — every product URL runs concurrently; each one streams matches to the dataset live.

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How to use it (60 seconds)

1. Paste one or more product URLs into the productUrls field.
   • Use canonical product pages, e.g. https://www.amazon.com/dp/B08N5WRWNW.
   • Avoid /offer-listing/ URLs — they have no stable price.
2. Add a Scraper API Key (see the next section — this is the single most important setting).
3. (Optional) Pick a country and currency. The country controls both Google geo-targeting and proxy country.
4. Click Start.
5. Open the Dataset tab when the run finishes — one row per competitor match, sortable/filterable in the Apify UI or exportable to CSV / Excel / JSON / API.

Defaults are tuned to work out of the box.

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The Scraper API Key (please read)

Strongly recommended — required if you want most major retailers to actually be scraped.

Without a Scraper API Key the actor can only fetch sites through residential proxy. That works on small/medium shops but is reliably blocked by Amazon, Walmart, Target, Best Buy, Fnac, eBay, and most Cloudflare-protected stores — you will get empty results for them.

With a key, those sites are routed through the scrape.do API and come back clean.

Get a free key (1000 credits/month) via my referral link: 👉 https://scrape.do/?fpr=automationbyexperts

Sign up, copy your token from the dashboard, and paste it into the scrapedoApiKey field. Done.

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Input fields

Field	Required	Default	Description
productUrls	yes	–	Reference product URLs to track. Each one runs in parallel.
scrapedoApiKey	strongly recommended	–	Free key here. Without it, Amazon / Walmart / Target / Best Buy / Fnac / eBay etc. cannot be scraped.
country	no	us	ISO country code. Controls SERP geo AND residential proxy country.
currency	no	USD	ISO-4217 target. Competitor prices in other currencies are dropped, not converted.
maxCompetitors	no	10	Stop searching once this many confirmed matches are found per product.
maxPages	no	2	Google SERP pages to scan per product (~10 URLs per page).
includedDomains	no	[]	Restrict the search to these domains only (e.g. amazon.com, walmart.com).
excludedDomains	no	[]	Extra domains to skip on top of the built-in social/review blocklist.
model	no	meta-llama/llama-3.1-8b-instruct	Pick from the curated dropdown. Cheapest accurate option by default.
customModel	no	–	Any OpenRouter model ID — overrides the dropdown when set.

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What you get in the output

One row per (reference product, matched competitor). The reference identity + market aggregates repeat on every row so you can filter and sort on any column.

Section	Fields
Reference identity	reference_url, reference_title, reference_brand, reference_model, reference_identifiers, reference_price, reference_currency, reference_availability
Market aggregate	matches_found, urls_checked, min_comp_price, avg_comp_price, max_comp_price, your_rank, price_position, pct_vs_avg_market, pct_vs_cheapest, suggested_action
Per-competitor	competitor_domain, competitor_url, competitor_product_name, comp_price, comp_currency, comp_vs_you_abs, comp_vs_you_pct, market_rank, confidence, shipping_rules, reasoning, is_cheapest
Status	OK / No matches / error string

Export to CSV, Excel, JSON, or pull via the Apify dataset API into Looker, Power BI, n8n, Make, or your own backend.

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Use cases

• Repricing & MAP monitoring — flag any competitor selling below your floor or violating MAP policy.
• New product launches — see who else lists your SKU before you commit to a price.
• Brand protection — discover unauthorized resellers on marketplaces.
• Dropshipping & arbitrage — find the cheapest supplier per product across the open web.
• Market research — capture the full distribution of prices, not just the top 3 Google Shopping results.
• AI agents (MCP) — call this actor from an LLM agent to answer "what's the cheapest price online for X?" with grounded, fresh data.

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Free vs paid tier

Free Apify users are capped at 1 product URL, 1 SERP page, and 3 competitors per product. Paid users get whatever they put in the input.

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Tips

• Stuck on Amazon / Walmart / Target / Best Buy / Fnac / eBay? Add the Scraper API Key — free here.
• Want to compare prices against a specific list of retailers? Fill in includedDomains — only those domains pass the filter.
• A specific domain keeps timing out? Add it to excludedDomains to stop burning retries on it.
• Running on a tight budget? Lower maxPages to 1 and maxCompetitors to 5. The defaults are tuned for quality, not minimum cost.

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FAQ

Does this work outside the US? Yes. Set country to any ISO code (e.g. gb, de, fr, ca, au) — both Google SERP and the residential proxy follow.

Can I track my own Shopify / WooCommerce store? Yes. Any public product URL works as the reference input.

How fresh are the prices? Live — every run fetches each competitor page in real time. No cached data.

Can I schedule this? Yes — use Apify Schedules to run daily / hourly / weekly. Combine with webhook integrations to push price changes into Slack, Google Sheets, or your database.

Is it MCP / AI-agent friendly? Yes. The actor exposes a clean JSON dataset; call it from any MCP-compatible client to ground LLM answers about competitor pricing in fresh, structured data.

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