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Amazon Seller Scraper API
Scrape Amazon seller profiles and collect data such as seller ID, seller name, storefront URL, description, detailed info, stars, feedback count, return policy, business address, and product listings.
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Explore thousands of production-ready scrapers
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Amazon Seller Scraper API Pricing
Only pay for what’s successfully delivered. No hidden fees, no charges for failed deliveries.
- Pay only for success, no hidden fees
- Start free with 5,000 monthly credits
- No upfront commitment, cancel anytime
- 24/7 expert support and enterprise features
From zero to Amazon Seller data in 3 steps
-
Pick a scraper
Choose from the Amazon Seller scrapers above or create your own with AI in minutes.
-
Call the API
One API call with up to 5,000 target URLs. Python and Node.js SDKs, CLI, MCP server, or any HTTP client.
-
Get structured data
Receive clean, parsed Amazon Seller data in JSON, NDJSON, or CSV. Delivered via API, webhook, or cloud storage.
curl -H "Authorization: Bearer API_TOKEN" -H "Content-Type: application/json" -d '[{"url":"https://www.amazon.com/sp?seller=A33W53J5GVPZ8K"},{"url":"https://www.amazon.com/sp?seller=A33YXLPENB0JBD"},{"url":"https://www.amazon.com/sp?seller=A33ZG27WW2U3E6"}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_lhotzucw1etoe5iw1k&format=json&uncompressed_webhook=true"
[
{
"timestamp": "2026-11-05",
"seller_id": "A34ZGIT0OU19PD",
"url": "https:\/\/www.amazon.com\/sp?seller=A34ZGIT0OU19PD",
"seller_name": "Clive H**e",
"description": "Wel***e t***ur *********\r. *********************ish*********************************************************************...",
"detailed_info": [
{
"title": "Business Name",
"value": "Huu Duc Tran"
},
{
"title": "Business Address",
"value": "97 Park Street, BINGHAMTON, NY, 13905, US"
}
],
"stars": "5 out of 5 stars",
"feedbacks": [
{
"date": "By ***zon***sto*********tob***************",
"stars": "5 out of 5 stars",
"text": "This is my second time ordering from this seller, and both experiences have been great! My package arrived earlier than ..."
},
{
"date": "By ***nh ***ch *********r 1*********",
"stars": "5 out of 5 stars",
"text": "This seller went above and beyond to help me when I asked if I could change my order. This seller is a credit to Amazon...."
},
{
"date": "By ***nie***Kis*********cto***************",
"stars": "5 out of 5 stars",
"text": "The coffee tastes absolutely wonderful! I really love the flavor and quality. It’s delicious and exactly what I was hopi..."
},
{
"date": "By ***gbi***on *********, 2******",
"stars": "5 out of 5 stars",
"text": "This order was ultimately cancelled due to issues beyond the seller\u0027s control. However, the communication from and profe..."
},
{
"date": "By ***c H***n S*********30,*********",
"stars": "5 out of 5 stars",
"text": "Smoothly. Arrived on time, packaging was good and the item was exactly as described. Happy with my order!"
},
{
"date": "Aug*** 2,***26",
"stars": "5 out of 5 stars",
"text": "Super fast shipping and fantastic prices! This is my second order from this seller, and they’ve been consistently excell..."
},
{
"date": "Jul***, 2***",
"stars": "5 out of 5 stars",
"text": "Very happy! Responded quickly to a couple questions, and shipped the item right away after I ordered it. Great service! ..."
},
{
"date": "Jul***, 2***",
"stars": "5 out of 5 stars",
"text": "I’m really happy with my purchase! Very nice seller, friendly and helpful! The item as described, new, unopened, quick s..."
}
]
},
{
"timestamp": "2026-11-05",
"seller_id": "AQEMUNHNLWVX4",
"url": "https:\/\/www.amazon.com\/sp?seller=AQEMUNHNLWVX4",
"seller_name": "Maks B****r",
"description": "Mak***ook***is ********* to*********************mer************************************************",
"detailed_info": [
{
"title": "Business Name",
"value": "MAKS BOOKER LLC"
},
{
"title": "Business Address",
"value": "1024 DODGE AVE, UNIT A, EVANSTON, IL, 60202, US"
}
],
"stars": "4.5 out of 5 stars",
"feedbacks": [
{
"date": "By ***ksa***a P*********n N******************",
"stars": "5 out of 5 stars",
"text": "Very good experience with this order. The copy was better than expected and delivery was quick and hassle-free."
},
{
"date": "By ***zon***sto*********tob***************",
"stars": "5 out of 5 stars",
"text": "Very happy with this seller experience."
},
{
"date": "By ***la ***ler*********er ************",
"stars": "1 out of 5 stars",
"text": "It says this textbook was delivered but as of this date, my child has not received the textbook. Still waiting on delive..."
},
{
"date": "By ***ve ***nga*********obe************",
"stars": "5 out of 5 stars",
"text": "Fast delivery and a beautifully preserved copy."
},
{
"date": "By ***ksa***a P*********n O******************",
"stars": "5 out of 5 stars",
"text": "Really pleased with this order. The book arrived quickly, was securely packaged, and was in excellent condition."
},
{
"date": "Oct***r 1***202***",
"stars": "5 out of 5 stars",
"text": "Better condition than expected. Arrived right on time."
},
{
"date": "Oct***r 1***202***",
"stars": "5 out of 5 stars",
"text": "Excellent copy and surprisingly quick delivery."
},
{
"date": "Oct***r 8***026***",
"stars": "5 out of 5 stars",
"text": "Excellent book and remarkably fast delivery."
}
]
},
{
"timestamp": "2026-11-05",
"seller_id": "A1YAT6W1AGUUXD",
"url": "https:\/\/www.amazon.com\/sp?seller=A1YAT6W1AGUUXD",
"seller_name": "uni***ed",
"description": "As ***t o***he *********e c********************* 20*********************************************************************...",
"detailed_info": [
{
"title": "Business Name",
"value": "PHI Automotive Group, Inc"
},
{
"title": "Business Address",
"value": "1600 Enterprise Dr, Kingston, NY, 12401, US"
}
],
"stars": "5 out of 5 stars",
"feedbacks": [
{
"date": "By ***k A***n J********* 20******",
"stars": "5 out of 5 stars",
"text": "License plate frames are as described on the item\u0027s page."
},
{
"date": "By ***g S***n D*********, 2******",
"stars": "5 out of 5 stars",
"text": "Had concerns about shipping, seller was very professional found the order and rerouted through FedEx. Arrived as expecte..."
},
{
"date": "By ***n C***sso*********st ************",
"stars": "5 out of 5 stars",
"text": "Product exceeded expectations. Awesome. Thank You."
},
{
"date": "By *** on***ril*********.",
"stars": "4 out of 5 stars",
"text": "Quality product…received as advertised"
},
{
"date": "By ***an ***kma*********l 1*********",
"stars": "5 out of 5 stars",
"text": "Came on time and was what I ordered."
}
]
},
{
"timestamp": "2026-11-05",
"seller_id": "A6API6QK0Y877",
"url": "https:\/\/www.amazon.com\/sp?seller=A6API6QK0Y877",
"seller_name": "******",
"description": "Fou***d i***974*********e C*********************now*********************************************************************...",
"detailed_info": [
{
"title": "Business Name",
"value": "Alliance Sports Group, LP"
},
{
"title": "Business Address",
"value": "700 Henrietta Creek Rd, ROANOKE, TX, 76262, US"
}
],
"stars": "4.5 out of 5 stars",
"feedbacks": [
{
"date": "By ***l M***n N*********, 2******",
"stars": "5 out of 5 stars",
"text": "Love Nebo"
},
{
"date": "By ***ari*** No********* 20******",
"stars": "5 out of 5 stars",
"text": "Excellent"
},
{
"date": "By ***d78***on *********3, ******",
"stars": "5 out of 5 stars",
"text": "Muy buen trabajo"
},
{
"date": "By ***a S***ana*********ber************",
"stars": "1 out of 5 stars",
"text": "Box was torn open, not sure how many pieces were in there 😡"
},
{
"date": "By ***lle***7 o*********r 1*********",
"stars": "5 out of 5 stars",
"text": "Love the flashlights. Great quality. Fast shipping."
},
{
"date": "Nov***er ***202***",
"stars": "5 out of 5 stars",
"text": "Matched advertising, quick delivery."
},
{
"date": "Oct***r 3***202***",
"stars": "5 out of 5 stars",
"text": "Packaged securely. Arrived as scheduled"
},
{
"date": "Oct***r 3***202***",
"stars": "5 out of 5 stars",
"text": "The flashlight was as promised. Great light."
}
]
},
{
"timestamp": "2026-11-05",
"seller_id": "A25P1478O14GU1",
"url": "https:\/\/www.amazon.com\/sp?seller=A25P1478O14GU1",
"seller_name": "ALL G***t D***s",
"description": "ALL***eat***als*********tte*********************ust******************************************************",
"detailed_info": [
{
"title": "Business Name",
"value": "Kevin M McCurdy"
},
{
"title": "Business Address",
"value": "6200 Peachtree Pl NE, Albuquerque, NM, 87111, US"
}
],
"stars": "4.5 out of 5 stars",
"feedbacks": [
{
"date": "By ***ldo*** on*********30,*********",
"stars": "5 out of 5 stars",
"text": "Great little system.but late on arrival"
},
{
"date": "By ***San*** on********* 20******",
"stars": "5 out of 5 stars",
"text": "Quick to ship, and the steamer cleaning fluid did the trick!"
},
{
"date": "By ***.C.*** Ap*********24.***",
"stars": "5 out of 5 stars",
"text": "If you have a Jiffy Steamer you need this. Use periodically to keep it steaming well."
},
{
"date": "By ***dio***ern*********Feb***************",
"stars": "4 out of 5 stars",
"text": "Item was delivered on time no damages very nice service"
},
{
"date": "By ***lC ***Jan*********202***",
"stars": "5 out of 5 stars",
"text": "arrived as expected"
}
]
}
]
Tell your agent:
Read https://brightdata.com/SKILL.md and get structured JSON for this Amazon seller via the Web Scraper API (gd_lhotzucw1etoe5iw1k): https://www.amazon.com/sp?seller=A33W53J5GVPZ8KOr run it yourself:
curl -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '[{"url":"https://www.amazon.com/sp?seller=A33W53J5GVPZ8K"}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_lhotzucw1etoe5iw1k&format=json"Or connect over MCP:
https://mcp.brightdata.com/mcp?token=YOUR_API_KEYPlug Amazon scrapers into your agent
Your agent picks from Amazon scrapers we already maintain. Let it run whenever you need, and every run delivers real-time web data straight to your storage. Works in Claude Code, Codex, Cursor and any other coding agent.
- Runs with npx, nothing to install
- bdata login opens browser auth, no key to paste
- Name a scraper, get JSON back
- Delivers to AWS · GCP · Azure · Snowflake · Webhook
Everything you need, built in
Go straight to the source
Scale to millions of pages instantly
Scrapers auto-fix when sites change
Thousands of verified scrapers
Pay per result, nothing extra
Compliant and fully supported
Start collecting Amazon Seller data in minutes
Explore more Amazon scrapers
Amazon Seller data scraping use cases
Monitor seller catalogs
Identify top sellers
Track seller reputation
Unauthorised reseller detection
Web Scraper API vs other providers
Leading the way in ethical web data collection
Only publicly available data. ISO 27001 certified, SOC 2 controls, GDPR & CCPA compliant. Every use case is reviewed by a dedicated Compliance & Ethics team, backed by a documented Know Your Customer process and Acceptable Use Policy.
Amazon Seller Scraper API FAQs
What is the Amazon Seller Scraper API?
The Amazon Seller Scraper API is a powerful tool designed to automate data extraction from the Amazon Seller website, allowing users to efficiently gather and process large volumes of data for various use cases.
How does the Amazon Seller Scraper API work?
The Amazon Seller Scraper API works by sending automated requests to targeted website, extracting the necessary data points, and delivering them in a structured format. This process ensures accurate and quick data collection.
Is the Amazon Seller Scraper API compliant with data protection regulations?
Yes, the Amazon Seller Scraper API is designed to comply with data protection regulations, including GDPR and CCPA. It ensures that all data collection activities are performed ethically and legally.
Can I use the Amazon Seller Scraper API for competitive analysis?
Absolutely! The Amazon Seller Scraper API is ideal for competitive analysis, allowing you to gather insights into your competitors' activities, trends, and strategies.
How can I integrate the Amazon Seller Scraper API with my existing systems?
The Amazon Seller Scraper API offers flawless integration with various platforms and tools. You can use it with your existing data pipelines, CRM systems, or analytics tools to improve your data processing capabilities.
Is there a free tier available for the Amazon Seller Scraper API?
Yes! Every new Bright Data account automatically includes 5,000 free credits per month (approximately $7.50 in value) — no credit card required, no promo code, no commitment. These credits apply to Scrapers (including the Amazon Seller Scraper API), as well as the Unlocker API and SERP API. Credits renew on the 1st of each month, and you can start making API calls immediately after signing up.
What happens when my free credits run out while using the Amazon Seller Scraper API?
When your 5,000 free monthly credits are exhausted, behavior depends on your account balance. If you have pre-deposited funds, usage continues seamlessly at standard PAYG rates with no interruption. If you have no deposited funds, requests will return an error until you add funds or until your credits renew on the 1st of the following month. Note that unused free credits do not roll over.
To avoid interruptions, you can enable auto-recharge in your billing settings at brightdata.com/cp/billing/settings.
What are the usage limits for the Amazon Seller Scraper API?
There are no specific usage limits for the Amazon Seller Scraper API, offering you the flexibility to scale as needed.
Do you provide support for the Amazon Seller Scraper API?
Yes, we offer dedicated support for the Amazon Seller Scraper API. Our support team is available 24/7 to assist you with any questions or issues you may encounter while using the API.
What delivery methods are available?
Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP.
What file formats are available?
JSON, NDJSON, JSON lines, CSV, and .gz files (compressed).
Can AI agents use the Amazon Seller Scraper API?
Yes. Connect any agent through the hosted MCP server, point a coding agent at brightdata.com/SKILL.md to set itself up, or use the CLI. Agents authenticate once with browser OAuth and can run any of the Amazon Seller scrapers.