Amazon Seller Scraper & Merchant Intelligence API
Extract merchant profiles, business names, verified addresses, feedback ratings, FBA inventories, and contact metrics at scale.
How Our Amazon Seller Scraper Solves Extraction Challenges
Enterprise data pipelines engineered to bypass Amazon anti-bot systems and deliver reliable, validated data feeds.
Understanding third-party sellers is essential for lead generation, supplier discovery, unauthorized merchant enforcement, and competitive market research.
Our Amazon Seller Scraper extracts full merchant profiles directly from Amazon storefront pages. We capture legal business names, registered corporate addresses, historical customer feedback ratings, product inventory counts, and fulfillment preferences.
Build high-value B2B lead lists, identify top distributors in your niche, and audit unauthorized resellers with automated seller data feeds.
Complete Extracted Field Specifications
Every extraction delivers normalized, type-safe data fields structured for immediate SQL, BigQuery, or Pandas ingestion.
| Field Name | Data Type | Source Selector / Path | Description | Sample Value |
|---|---|---|---|---|
| seller_id | String | seller= / merchantID | Unique Amazon merchant identification string. | "A2N1XYZ987654" |
| storefront_name | String | h1#sellerName | Public display name of the seller's storefront. | "Apex Retail Direct" |
| business_name | String | span.seller-business-name | Legal registered corporate name of the merchant. | "Apex Global Commerce LLC" |
| business_address | String | div.seller-address | Official business registration street address and country. | "123 Commerce Way, Suite 400, Austin, TX 78701, US" |
| positive_feedback_percent | Integer | span#seller-feedback-summary | Percentage of positive feedback ratings over last 12 months. | 98 |
| total_ratings_count | Integer | span#seller-feedback-count | Lifetime count of customer feedback ratings. | 14250 |
| is_fba_seller | Boolean | div.storefront-products | Indicates whether the merchant utilizes Fulfillment by Amazon. | true |
| inventory_count | Integer | span.storefront-catalog-count | Total active product listings in the seller's storefront. | 1280 |
| brands_carried | Array<String> | div.storefront-brands-list | List of major manufacturer brands sold by this merchant. | ["Sony","Anker","Logitech"] |
Storefront & Merchant Extraction Architecture
Extracting complete seller catalogs and registered corporate data without triggering rate limits.
Deep Storefront Catalog Traversal
We paginate through complete seller inventory storefronts, matching each listed ASIN with its current pricing and Buy Box status.
Cross-Marketplace Seller Linking
Identify when a single merchant operates across US, UK, European, and Canadian Amazon storefronts under unified corporate entities.
Enterprise Use Cases & Implementation Workflows
How high-growth eCommerce brands, hedge funds, and SaaS platforms leverage our amazon seller scraper.
B2B Lead Generation for SaaS & Agencies
Unauthorized Seller & Counterfeit Takedowns
Distributor & Wholesaler Discovery
Competitor Market Share Mapping
Production-Ready API Code Examples
Integrate our amazon seller scraper API into your existing Python, Node.js, or cURL data pipelines in under 5 minutes.
import requests
API_KEY = "YOUR_API_KEY"
url = "https://api.amazonscraping.com/v1/sellers"
payload = {
"seller_id": "A2N1XYZ987654",
"marketplace": "amazon.com"
}
headers = {"Authorization": f"Bearer {API_KEY}"}
response = requests.post(url, json=payload, headers=headers)
seller = response.json()
print(f"Store: {seller['storefront_name']}")
print(f"Legal Name: {seller['business_name']}")
print(f"Address: {seller['business_address']}")
print(f"Rating: {seller['positive_feedback_percent']}% ({seller['total_ratings_count']} ratings)")Frequently Asked Questions
Everything you need to know about our Amazon scraping services. Can't find the answer? Contact us.
Yes. Amazon publicly displays verified registered business names and corporate street addresses on merchant profile pages, which we extract and structure.
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View Service →Ready to Start Scraping Amazon?
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