Who this is for
E-commerce operators running private label on Amazon, brand managers monitoring reviews across SKUs, competitive intelligence teams tracking prices, product research teams validating a niche before launch, and due-diligence buyers evaluating an Amazon aggregator acquisition target.
What we extract per ASIN
- Product data: title, brand, ASIN, category path, bullet points, description, variants, image URLs.
- Pricing: current price, list price, discount %, Buy Box price, lowest new, lowest used.
- Ranking: BSR in main category + sub-categories, category snapshot at time of pull.
- Reviews: individual review texts (up to full history), date, rating, verified purchase, reviewer name.
- Seller: seller name, seller ID, seller rating, FBA flag, country.
- Inventory: estimated stock signal (via add-to-cart max-quantity trick), availability status.
- Ads: sponsored slots on the search page, Amazon Choice badge, Best Seller badge, Prime flag.
Typical extraction scenarios
- Review sentiment: all reviews across 150 SKUs of a beauty brand, monthly, for sentiment drift tracking.
- Competitor pricing: 500 competitor ASINs, hourly price pull for 14 days during Prime Week.
- Niche research: top 100 BSR products in "portable solar chargers" with reviews, to validate a launch idea.
- Seller audit: all ASINs for a specific seller, with reviews and pricing, for acquisition due-diligence.
- Private label monitoring: own SKU reviews + competitor SKU reviews, for weekly QA and response triage.
How the delivery works
- Brief: ASIN list, category, seller page URL, search keyword or Best Sellers list.
- Extraction: distributed pull across our proxy infrastructure, handling captchas and rotation.
- Deduplication: variants are grouped under parent ASIN, duplicate reviews dropped.
- Enrichment (optional): sentiment scoring, ReviewMeta-style fake-review flagging, category benchmarking.
- Delivery: one-shot CSV / Google Sheet, or daily/hourly feed into your S3, BigQuery, Airtable.
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