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Amazon Seller By URL

01KBMK64CYPBTN4A44SC6RJFCV
Maintained by CafeScraper
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Our Amazon seller data scraper extracts key details post-scraping: profile URL, unique ID, name, overview, full details, feedback volume, average rating, email, phone number, product count, business address, shipping rates, etc. Download structured data in multiple formats.

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How many results can the Amazon scraping tool return?

Although the Amazon scraping tool can return a large number of results on average per request, it cannot provide an exact number due to various variables in the scraping process, such as:
Different input types/values yield different result counts
Internal Amazon site restrictions that no scraping tool can bypass

Use cases for scraped Amazon seller data?

Widely applied in competitor intelligence gathering, platform seller audits, supply chain management, brand protection monitoring, and more. Seller data helps quickly identify quality sellers, optimize supply chains, and monitor potential partners or competitors, enhancing compliance and market competitiveness.

Yes, fully compliant and legal. The tool only collects information publicly displayed on Amazon seller pages and does not use any illegal methods like hacking or intrusion. Data comes from publicly available Amazon info such as seller emails, phone numbers, addresses, supporting legal and compliant business analysis and market research.

Result

This is an example of how scraping tool results will look like.

json Copy
[
  {
    "url": "https://www.amazon.com/sp?seller=ADZ7LD48GVFQJ",
    "seller_id": "ADZ7LD48GVFQJ",
    "seller_name": "YOHOWA",
    "description": "YOHOWA is committed to providing each customer with the highest standard of customer service.",
    "detailed_info": [
      {
        "title": "Business Name",
        "value": "Xuchang Aogu Trading Co.,Ltd"
      }
    ],
    "feedbacks": [
      {
        "date": "By Rob Florida on May 25, 2025.",
        "stars": "1 out of 5 stars",
        "text": "Listing says the material is silk but its only 80% silk and 20% polyester!!! Total scam!!!! I will be returning this item"
      },
      {
        "date": "By Ronald Moore on May 25, 2025.",
        "stars": "5 out of 5 stars",
        "text": "Thanks!"
      }
    ],
    "stars": "4.9out of 5",
    "return_policy": "",
    "shipping_policies": "",
    "privacy_security": "Amazon knows that you care how information about you is used and shared, and we appreciate your trust that we will do so carefully and sensibly. By visiting Amazon.com, you are accepting the practices described in \n            Amazon.com's Privacy Policy\n        . In addition, we want you to be aware that Amazon.com will provide YOHOWA with information related to your transactions involving their products (including, for example, your name, address, products you purchase, and transaction amount), and that such information will be subject to YOHOWA's Privacy Policy.",
    "privacy_policy": "YOHOWA values the privacy of your personal data.",
    "tax_info": null,
    "help_content": "For questions about a charge that has been made to your credit card, please contact Amazon. Questions about how to place an order? Search Amazon Help.",
    "products_link": "https://www.amazon.com/s?ie=UTF8&marketplaceID=ATVPDKIKX0DER&me=ADZ7LD48GVFQJ",
    "business_name__DUPLICATE": "Xuchang Aogu Trading Co.,Ltd",
    "business_address__DUPLICATE": "新兴路蓝湾佳苑16幢9层B座西向南起第5间, 许昌市, 东城区, 河南, 461000, CN",
    "rating_positive": "100%",
    "brands": null,
    "feedbacks_percentages": {
      "star5": "89%",
      "star4": "10%",
      "star3": "0%",
      "star2": "0%",
      "star1": "1%"
    },
    "rating_count_m12": "235",
    "rating_count_m3": "65",
    "rating_count_lifetime": "2,406",
    "rating_count_m1": "22",
    "country": "CN",
    "email": "",
    "timestamp": "2025-05-26T08:46:00.497Z",
    "seller_phone_number": "",
    "rating_count": "2,406",
    "delivery_rates": "",
    "products_count": "0",
    "input": {
      "url": "https://www.amazon.com/sp?ie=UTF8&seller=ADZ7LD48GVFQJ&asin=B07H56J7K1&ref_=dp_merchant_link&isAmazonFulfilled=1"
    },
    "error": null,
    "error_code": null,
    "warning": null,
    "warning_code": null
  }
]

Dictionary

Column name Description Data type
seller_id Unique identifier for the seller Text
url The link to the seller's page on Amazon Url
seller_name Name of the Amazon seller Text
description Brief overview or summary of the seller Text
detailed_info Comprehensive information about the seller Array
stars Average star rating based on feedback Text
feedbacks Total received feedbacks Array
return_policy Information about the seller's return policy Array
shipping_policies Details about the seller's shipping policies Text
privacy_security Information about the seller's privacy and security practices Text
privacy_policy The seller's privacy policy details Text
tax_info Information regarding the seller's tax-related policies Text
help_content Content or resources provided for customer assistance Text
products_link Link or reference to the seller's products Text
business_name Official name of seller's business Text
business_address Physical address of the seller's business Text
rating_positive Percentage of positive ratings received Text
brands Brands associated with the seller Array
feedbacks_percentages Percentage breakdown of feedback types Object
rating_count_m12 Total rating count for the last 12 months Number
rating_count_m3 Total rating count for the last 3 months Number
rating_count_lifetime Total lifetime rating count Number
rating_count_m1 Total rating count for the last 1 month Number
country The country associated with the seller Country
email Email of the seller Text
seller_phone_number The contact phone number provided by a third-party seller Text
rating_count The number of customer ratings for the product Number
delivery_rates The shipping costs or options for a product Text
products_count The total number of unique products Number
timestamp Date/time of product action/data update on Amazon Text
input Data or query for Amazon search or order processing. Object
error Error message Text
error_code A unique identifier associated with an error message Number
warning Warning message Text
warning_code A unique identifier associated with a warning message Number

Input

URLs url Required Text
Description: Target URL to be scraped