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⇱ AI Product Opportunity Finder Β· Apify


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from $1.00 / 1,000 reviews

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AI Product Opportunity Finder

The AI Product Opportunity Finder scrapes real customer reviews from Amazon product pages and uses AI to surface top strengths, repeated complaints, unmet needs, listing improvements, marketing angles, and cross-product comparisons β€” ideal for Amazon sellers, brands, and product researchers.

Pricing

from $1.00 / 1,000 reviews

Rating

0.0

(0)

Developer

πŸ‘ FalconScrape

FalconScrape

Maintained by Community

Actor stats

1

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1

Monthly active users

3 months ago

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🧠 AI Product Opportunity Finder

Turn real customer reviews into decision-ready product insights. The AI Product Opportunity Finder scrapes reviews from product listings and uses an LLM to surface top strengths, repeated complaints, unmet needs, listing ideas, and (optionally) a competitor comparison across up to 5 products. Amazon is supported today β€” more review sources coming.

✨ Features

  • πŸ” Real review extraction β€” pulls customer reviews embedded on each Amazon product page.
  • 🧠 AI-powered insights β€” repeated strengths, repeated complaints, unmet needs, themes with sentiment, listing suggestions, and marketing angles.
  • βš”οΈ Competitor comparison β€” optional cross-product summary with common complaints across the market and differentiation opportunities.
  • πŸ›‘οΈ Graceful failure β€” one bad URL doesn't stop the run; failed products emit an error row.
  • 🌍 Any output language β€” set outputLanguage to get summaries in your preferred language.

πŸ› οΈ How It Works

  1. Paste Amazon product URLs – 1 to 5 /dp/ASIN URLs.
  2. Run the actor – it scrapes each product, extracts reviews, and calls the LLM for analysis.
  3. Read the insights – structured JSON rows land in the run's dataset, ready to download or integrate.

πŸ“₯ Input

FieldTypeDefaultDescription
productUrlsstring[] (1–5)β€”Amazon product URLs in /dp/ASIN format. Required.
maxReviewsPerProductinteger (1–50)20Cap on reviews analyzed per product. Amazon embeds ~6–8 reviews per product page, so larger values rarely change the output.
sortBy"recent" | "helpful""recent"Review sort order on Amazon.
analysisMode"product_insights" | "competitor_comparison""product_insights"Set to competitor_comparison to also get a cross-product comparison row.
outputLanguagestring"English"Language for AI-generated summaries.

Example input:

{
"productUrls":[
"https://www.amazon.com/dp/B09B8V1LZ3"
],
"maxReviewsPerProduct":20,
"analysisMode":"product_insights",
"outputLanguage":"English"
}

πŸ“Š Sample Output Data

The actor pushes three row types to the dataset, distinguished by type: raw_review, product_insights, and (optionally) competitor_comparison. Example product_insights row:

{
"type":"product_insights",
"productId":"amazon:B09B8V1LZ3",
"asin":"B09B8V1LZ3",
"productTitle":"Amazon Echo Dot (newest model)",
"brand":"Amazon",
"source":"amazon",
"reviewCountAnalyzed":6,
"overallSummary":"Customers appreciate the sound quality and ease of setup, but some feel it's overpriced and miss the audio jack.",
"topStrengths":[
"Clear and vibrant sound quality",
"Easy and quick setup process",
"Good integration with Alexa and smart home devices"
],
"topComplaints":[
"Perceived as overpriced for the features",
"Missing 3.5mm audio jack"
],
"unmetNeeds":[
"Reintroduction of the audio jack",
"More competitive pricing"
],
"themes":[
{"theme":"Sound Quality","sentiment":"positive","summary":"Customers are impressed with the sound clarity and volume."}
],
"listingSuggestions":[
"Highlight sound quality and setup ease in the product description"
],
"marketingAngles":[
"Perfect for music lovers and smart home enthusiasts"
]
}

πŸ’° Pricing

This actor uses Pay Per Event (PPE) pricing with two chargeable events:

EventWhen it firesPrice
review-scrapedCharged once per Amazon review successfully extracted and pushed to the dataset.$1.00 / 1000 reviews
insights-generatedCharged once per successful AI output row β€” one per product, plus one more row if competitor_comparison mode is used with β‰₯2 products.$20.00 / 1000 rows

A typical run of 3 products (~6 reviews each) costs roughly 18 Γ— $0.001 + 3 Γ— $0.02 β‰ˆ $0.08. Failed products and fallback AI rows (emitted when the LLM call fails) are not charged.

Uncover your next product opportunity with AI Product Opportunity Finder today! πŸš€

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