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.

5K free records/month · Credit card not required

Available Amazon scrapers

Pick an Amazon Seller scraper and call it. Every Amazon Seller scraper lists its output fields, delivery volume, and live success rate.

Explore thousands of production-ready scrapers

Pay only for successful results, no surprises – Proxies, unlocking, browsers and retries are built in.

#1

Ranked (by AIMultiple)

99.2%

Avg. success rate

100M+

Requests weekly

400M+

Proxy IPs built in

GDPR & CCPA

Compliant
Pricing

Amazon Seller Scraper API Pricing

Only pay for what’s successfully delivered. No hidden fees, no charges for failed deliveries.

CALCULATE YOUR COST
Records per month: 5K
$/mo
$ per 1,000 records
Your whole bill. Proxies, unblocking, parsing included.
Get started
5K
10K
50K
100K
500K
1M
5M
  • 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
Free Tier
5K
records
Start free
  • 5K records per month
  • No credit card required
  • Expert support
Pay as you go
$1.5/1K record
Start free
  • Pay only for success
  • Set monthly spend limits
  • Unlimited concurrency
  • Expert support
Scale
$499 /month
Start free
  • 384,000 records included
  • $1.3/1K additional records
  • Unlimited concurrency
  • Cancel anytime
  • Expert support
Enterprise
Custom
Talk to sales
  • Volume discounts
  • Account manager
  • Premium SLA
  • Priority support
  • SSO
Most platforms stack extra charges on top of the per-record rate. With Bright Data, the record price is the whole bill:
Compute / runtime units
commonly billed per scraper runtime hour or compute unit
Included
Residential proxy bandwidth
commonly billed per GB
Included
Storage & dataset retention
commonly billed per GB-month
Included
Data transfer / egress
commonly billed per GB out
Included
Unblocking & CAPTCHA solving
commonly a paid add-on
Included
Parsing to structured JSON
commonly your own code
Included
We accept these payment methods:
How it works

From zero to Amazon Seller data in 3 steps

No proxies to configure, no infrastructure to manage. Pick, call, and receive.
  1. Pick a scraper

    Choose from the Amazon Seller scrapers above or create your own with AI in minutes.

  2. 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.

  3. Get structured data

    Receive clean, parsed Amazon Seller data in JSON, NDJSON, or CSV. Delivered via API, webhook, or cloud storage.

Scraper API Call
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"
Response payload
[
  {
    "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"
      }
    ]
  }
]
Start free
TERMINAL

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=A33W53J5GVPZ8K

Or 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_KEY
Get your token-filled URL in the control panel
For coding Agents

Plug 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
World's #1 scraping platform

Everything you need, built in

You pay for results. Proxies, rendering, concurrency, and delivery are always included, on every plan.

Go straight to the source

Every request runs on Bright Data infrastructure. 400M+ IPs, unlocking and browsers are built in.

Scale to millions of pages instantly

Send unlimited concurrent requests - no infrastructure to manage, no configs to change.

Scrapers auto-fix when sites change

AI-powered self-healing detects site changes and repairs scrapers. Your pipelines keep running.

Thousands of verified scrapers

Every scraper is built, tested, and maintained by Bright Data. No community guesswork.

Pay per result, nothing extra

One price per record . Proxies, retries, rendering, unblocking - all included, no surprises.

Compliant and fully supported

GDPR & CCPA compliant. 24/7 human support on every plan, including free.

Amazon Seller data scraping use cases

Real-time Amazon Seller intelligence for your business.

Monitor seller catalogs

Sellers
Catalog
Prices
Scrape Amazon seller storefronts and seller-linked listings to collect structured data on catalog coverage, category mix, pricing, discounts, and ratings signals (when visible). Use this to benchmark assortment strategy, spot gaps, and track how sellers change their offerings over time.

Identify top sellers

Sellers
Rankings
Ratings
Use Amazon seller scraping to discover high-performing sellers and the products that drive their success. Track bestseller positions (when visible), review velocity, and pricing patterns to generate sourcing ideas, prioritize competitive research, or identify sellers for partnership and marketplace recruitment.

Track seller reputation

Ratings
Feedback
Reviews
Scrape seller-level signals such as ratings, review themes on seller products, and customer feedback patterns (where available) to monitor reputation and trust. Detect sudden rating drops, recurring complaints, or policy-risk signals early to protect brand reputation and customer experience.

Unauthorised reseller detection

Sellers
Offers
Brands
Scrape the sellers listing against your own brand to see who is actually selling your products. Collect seller IDs, names and offer prices to surface unauthorised resellers and grey-market activity.
Compare Bright Data to others

Web Scraper API vs other providers

Capability
Other scraping providers
Auto-scaling infrastructure
Unlimited
Partial
Anti-bot & CAPTCHA bypass
Built-in
Partial
Residential proxy network
400M+ IPs
Limited pool
Pre-built scrapers
1,400+
50–200
Auto-maintenance (site changes)
24/7
Depends on who built it
Pricing model
One all-in price per record
Compute, proxy, and storage metered separately
Failed requests
Free, pay only for success
Often billed
Custom sites (no pre-built scraper)
AI builds it in minutes, self-healing included
Community-built scrapers, no SLA
Compliance (GDPR, CCPA, SOC 2)
Full
Partial
Structured output (JSON/CSV)
Automatic
Support
24/7 experts, even on the free tier
Community forum
Free tier
5K records/mo
Varies
compliance

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.



Bright Data is used by world's top brands

Amazon Seller Scraper API FAQs

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.

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.

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.

Absolutely! The Amazon Seller Scraper API is ideal for competitive analysis, allowing you to gather insights into your competitors' activities, trends, and strategies.

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.

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.

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.

There are no specific usage limits for the Amazon Seller Scraper API, offering you the flexibility to scale as needed.

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.

Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP.

JSON, NDJSON, JSON lines, CSV, and .gz files (compressed).

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.

The easiest way to scrape Amazon Seller data at scale