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": "2026-10-15",
    "seller_id": "A1TV4OVGNS5SQV",
    "url": "https:\/\/www.amazon.com\/sp?seller=A1TV4OVGNS5SQV",
    "seller_name": "Got***de-***a",
    "description": "Got***de-***a i*********ed *********************tom***************************************************",
    "detailed_info": [
      {
        "title": "Business Name",
        "value": "Jhon freddy araujo mondragon"
      },
      {
        "title": "Business Address",
        "value": "Carrera 73b #5s 73b, Segundo piso, Buenaventura, Valle del Cauca, 764501, CO"
      }
    ],
    "stars": "4 out of 5 stars",
    "feedbacks": [
      {
        "date": "By ***her*** te********* Fe******************",
        "stars": "1 out of 5 stars",
        "text": "Nothing worked for me. I bought it because I had previously purchased it from a different distributor, and it had worked..."
      },
      {
        "date": "By ***uel*** Ja*********202***",
        "stars": "5 out of 5 stars",
        "text": "Excelente"
      },
      {
        "date": "By ***zon***sto*********cem***************",
        "stars": "5 out of 5 stars",
        "text": "Thank you so much"
      },
      {
        "date": "By ***ber***Jos*********ez *********************5.",
        "stars": "5 out of 5 stars",
        "text": "Bien"
      },
      {
        "date": "By ***her***agn*********ly ************",
        "stars": "1 out of 5 stars",
        "text": "Primero llegaba para el 8 de julio después para el 10 de julio y ahora para el 16 de julio, no sé si el problema es el v..."
      }
    ]
  },
  {
    "timestamp": "2026-10-15",
    "seller_id": "A37MTLMOUEML50",
    "url": "https:\/\/www.amazon.com\/sp?seller=A37MTLMOUEML50",
    "seller_name": "ALI***ECA***",
    "description": "ALI***ECA***is ********* to*********************mer************************************************",
    "detailed_info": [
      {
        "title": "Business Name",
        "value": "yiwushijuyidianzishangwuyouxiangongsi"
      },
      {
        "title": "Business Address",
        "value": "义乌市下王三区31栋3单元306, 义乌市下王三区31栋3单元306, 金华市, 浙江, 322000, CN"
      }
    ],
    "stars": "4.5 out of 5 stars",
    "feedbacks": [
      {
        "date": "By ***wne*** on*********11,*********",
        "stars": "5 out of 5 stars",
        "text": "I gave these necklaces to two of my daughters and they both really liked them."
      },
      {
        "date": "By ***dy ***lle*********n O******************",
        "stars": "3 out of 5 stars",
        "text": "I ordered the aquar colored stone foe December and received the sapphire which is September"
      },
      {
        "date": "By ***ria***Ram*********ugu***************",
        "stars": "5 out of 5 stars",
        "text": "Mi nieta le encanto mucho gracias"
      },
      {
        "date": "By ***shm*** on********* 20******",
        "stars": "5 out of 5 stars",
        "text": "Thank you! In a time when one expects to be at least slightly disappointed you delivered a charming necklace that is bey..."
      },
      {
        "date": "By ***phe***urr*********ly ************",
        "stars": "5 out of 5 stars",
        "text": "None"
      },
      {
        "date": "Jan***y 1***202***",
        "stars": "5 out of 5 stars",
        "text": "🤟🤝"
      },
      {
        "date": "Jan***y 2***026***",
        "stars": "5 out of 5 stars",
        "text": "Great!"
      },
      {
        "date": "Dec***er *** 20***",
        "stars": "5 out of 5 stars",
        "text": "For it being a great price, the box and care is amazing. Recommend the purchase."
      }
    ]
  },
  {
    "timestamp": "2026-10-15",
    "seller_id": "A2WMJ13P1439PR",
    "url": "https:\/\/www.amazon.com.mx\/sp?seller=A2WMJ13P1439PR",
    "seller_name": "Agua M*******a ** ***",
    "description": "Agu***ara***la ********* co*********************odu*********************************************************************...",
    "detailed_info": [
      {
        "title": "Nombre comercial",
        "value": "Agua Maravilla By Ars"
      },
      {
        "title": "Dirección",
        "value": "Avenida TRES #73, INT 101 , San Pedro de los Pinos, Benito Juarez, Mexico, Mexico City, 03800, MX"
      }
    ],
    "stars": "4.5 de 5 estrellas",
    "feedbacks": [
      {
        "date": "Por***REN***el *********ero************",
        "stars": "5 de 5 estrellas",
        "text": "El bote me vino sin tapa pero no estaba el pump usado.. Excelente producto"
      },
      {
        "date": "Por***nit***amo*********mil*********************025***",
        "stars": "5 de 5 estrellas",
        "text": "Excelente producto"
      },
      {
        "date": "Por***ren*** de*********el *********************",
        "stars": "5 de 5 estrellas",
        "text": "Excelente! Todo en orden"
      },
      {
        "date": "Por***gél*** Ba*********26 *********************",
        "stars": "5 de 5 estrellas",
        "text": "Me encanta súper hidratada la piel"
      },
      {
        "date": "Por***a r***l 4*********o d*********",
        "stars": "5 de 5 estrellas",
        "text": "Me gusta"
      }
    ]
  },
  {
    "timestamp": "2026-10-15",
    "seller_id": "A3FAHWP0OZCMY1",
    "url": "https:\/\/www.amazon.com\/sp?seller=A3FAHWP0OZCMY1",
    "seller_name": "pan***uxi***",
    "description": "pan***uxi***s c*********to *********************er ************************************************",
    "detailed_info": [
      {
        "title": "Business Name",
        "value": "langfangxiuxiamaotongkejiyouxianzerengongsi"
      },
      {
        "title": "Business Address",
        "value": "经济技术开发区东方大学城, 孔雀城大学里西区21-3-2904, 廊坊市, 河北, 065001, CN"
      }
    ],
    "stars": "4 out of 5 stars",
    "feedbacks": [
      {
        "date": "By ***a i***s o*********23,*********",
        "stars": "1 out of 5 stars",
        "text": "Item said delivered at my address but never received."
      },
      {
        "date": "By ***ah ***Jun*********6.",
        "stars": "1 out of 5 stars",
        "text": "This item is not how it is described. It does not match the videos posted on the page. It is super small. There is no ba..."
      },
      {
        "date": "By ***esa***eib*********ch *********",
        "stars": "2 out of 5 stars",
        "text": "My husband bought this for me for Christmas and the snap has already broken. I don’t even use the snap. Now there’s a ho..."
      },
      {
        "date": "By ***Tor*** on********* 7,*********",
        "stars": "5 out of 5 stars",
        "text": "In love"
      },
      {
        "date": "By ***zon***sto*********bru***************",
        "stars": "5 out of 5 stars",
        "text": "Gorgeous beautiful bag. Packaged very well"
      },
      {
        "date": "Jan***y 2***202***",
        "stars": "5 out of 5 stars",
        "text": "Gorgeous bag. Excellently packaged on arrival. Very impressed with the materials and finished look of this looks so expe..."
      },
      {
        "date": "Dec***er *** 20***",
        "stars": "5 out of 5 stars",
        "text": "The seller shipped the item very quickly, the product quality is excellent, and the packaging was very careful."
      },
      {
        "date": "Nov***er *** 20***",
        "stars": "5 out of 5 stars",
        "text": "Fast delivery, and product is nicely packaged."
      }
    ]
  },
  {
    "timestamp": "2026-10-15",
    "seller_id": "A3DWXALEE4G1DF",
    "url": "https:\/\/www.amazon.co.uk\/sp?seller=A3DWXALEE4G1DF",
    "seller_name": "Mia***yKi***",
    "description": "Mia***yKi***is ********* to*********************mer************************************************",
    "detailed_info": [
      {
        "title": "Business Name",
        "value": "MIABABY LIMITED"
      },
      {
        "title": "Business Type",
        "value": "Privately-owned business"
      },
      {
        "title": "Trade Register Number",
        "value": "15900803"
      },
      {
        "title": "Business Address",
        "value": "UNIT 1C3-427, 4 RAVEN ROAD, London, London, E18 1HB, GB"
      }
    ],
    "stars": "5 out of 5 stars",
    "feedbacks": [
      {
        "date": "By ***ree***oke*********ept************",
        "stars": "5 out of 5 stars",
        "text": "Just perfect all round"
      },
      {
        "date": "By ***A. ***lor*********ril*********",
        "stars": "5 out of 5 stars",
        "text": "Arrived well packaged and in good condition"
      }
    ]
  }
]
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