What is the Amazon Seller Info Scraper?

Scrape Amazon seller data at scale. This Actor collects seller identifiers, business details, contact info (when available), ratings, and profile text to power lead generation, compliance checks, and competitive analysis.

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Quick Start

1. Input one or more Seller IDs.
2. Run the Actor.
3. Download results as JSON/CSV from the dataset.

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What This Scraper Does

• Extracts Amazon seller information from seller profile pages (business name, address, phone, ratings, about text).
• Returns clean, structured JSON ready for CRMs, spreadsheets, or pipelines.
• Built for lead generation, vendor verification, and market research.

Example Output

{
  "sellerId": "A294P4X9EWVXLJ",
  "sellerName": "AnkerDirect",
  "businessName": "FANTASIA TRADING LLC",
  "businessAddress": "5350 ONTARIO MILLS PKWY STE 100 | ONTARIO | CA | 91764-5137 | US",
  "sellerContactPhone": "800-988-7973",
  "storefrontUrl": "/s?ie=UTF8&marketplaceID=ATVPDKIKX0DER&me=A294P4X9EWVXLJ",
  "aboutSellerData": "About AnkerDirect Anker Innovations is a global leader in smart charging...",
  "starRating": 5,
  "positiveFeedbackPercentage": 96,
  "totalRatings": 37486
}

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Input

This Actor accepts an array of Amazon Seller IDs.

{
  "sellerIds": ["A294P4X9EWVXLJ", "A1MCYUGJD2ILFU"]
}

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Output Fields

Each record includes fields such as:

• sellerId, sellerName, storefrontUrl
• businessName, businessAddress, sellerContactPhone
• aboutSellerData, starRating, positiveFeedbackPercentage, totalRatings

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Dataset View (Store Overview)

The Overview table shows:

• Seller ID · Seller Name · Business Name · Seller Contact Phone
• Business Address · Star Rating · Total Ratings · About Seller

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Usage Ideas

• Lead generation: Build outreach lists with verified business details.
• Compliance & vendor checks: Validate seller entities before onboarding.
• Competitive analysis: Track ratings and reputation trends by niche.
• Data enrichment: Attach seller metadata to product, review, or ASIN datasets.

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API & Integrations

Use the Apify API or official clients for Node.js/Python to schedule runs and fetch datasets. Connect with Make, Zapier, webhooks, and Google Sheets for end‑to‑end automation.