Amazon Seller Data Extractor

Amazon Seller Data Extractor

Amazon Seller Data Extractor is a purpose-built Amazon seller data scraper that extracts structured seller profiles, storefront details, ratings, and feedback directly from public Amazon pages. It solves the tedious, error-prone task of manually collecting seller information by turning ASINs, seller IDs, or seller URLs into clean JSON you can analyze and export at scale. Ideal for marketers, developers, analysts, and researchers, this Amazon seller information extractor doubles as an Amazon ASIN to seller mapping scraper, enabling faster competitive research, lead qualification, and marketplace insights.

What data / output can you get?

Below are the exact JSON fields this Amazon marketplace seller data extraction actor pushes to the dataset. Example values are illustrative.

Data type	Description	Example value
url	The processed seller or product URL used to extract data	https://www.amazon.com/sp?seller=A33W53J5GVPZ8K
seller_id	Seller identifier parsed from the URL or page	A33W53J5GVPZ8K
seller_name	Seller display name (if found on the page)	Peckomatic
description	“About seller” text (expanded content if available)	Peckomatic is committed to providing each customer...
detailed_info	Structured list of labeled items like Business Name and Business Address	[{"title":"Business Name","value":"Francis Kunnumpurath"}]
feedbacks	Array of recent feedback entries with stars, text, and date	[{"stars":"5 out of 5 stars","text":"Great service","date":"By John on Jan 2, 2026."}]
stars	Overall star rating text from the feedback summary	4.5 out of 5 stars
rating_positive	“Positive rating” summary text from the page	88% positive
feedbacks_percentages	Star distribution percentages (1–5 stars)	{"star_5":"79%","star_4":"10%","star_3":"7%","star_2":"0%","star_1":"5%"}
rating_count_lifetime	Lifetime ratings count (parsed integer when present)	42
products_link	Direct link to the seller’s product listings (constructed if seller_id is known)	https://www.amazon.com/s?ie=UTF8&marketplaceID=ATVPDKIKX0DER&me=A33W53J5GVPZ8K
shipping_policies	Shipping policy text block when present	Ships within two business days unless otherwise noted...
privacy_security	Privacy and security text block when present	Amazon knows that you care how information about you is used...
privacy_policy	Seller-provided privacy policy text when present	We value the privacy of your personal data...
help_content	Returns/refunds/help contact snippet when present	For questions about a charge, please contact Amazon...
rating_count_m12	Ratings in the last 12 months (if present, otherwise 0)	0
rating_count_m3	Ratings in the last 3 months (if present, otherwise 0)	0
rating_count_m1	Ratings in the last 1 month (if present, otherwise 0)	0
country	Marketplace country code (default “US”)	US
timestamp	ISO timestamp when the record was created	2026-04-16T12:34:56.000Z
return_policy	Reserved for return policy (array, currently empty if not present)	[]
seller_phone_number	Phone number (null by default if not present)	null

Notes:

• Results are available in Apify datasets and can be exported to JSON, CSV, or Excel.
• Some fields may be empty strings, empty objects/arrays, or null when not present on the page.

Key features

• 🏠 Always‑on residential proxy (auto‑configured) The actor enforces Apify Residential proxy usage irrespective of user selection, optionally honoring a proxy country. This boosts resilience for the Amazon seller profile scraper workflow.

• 🔗 ASIN → Seller mapping Paste ASINs to extract the seller link from product pages and continue scraping seller details. Perfect for Amazon ASIN to seller mapping scraper use cases.

• ⚙️ Robust, async scraping with retries Built on aiohttp with exponential backoff, graceful retry on 5xx/timeouts, and bounded concurrency. Balances speed with stability to scrape Amazon seller details reliably.

• 🎛️ Flexible inputs Accepts ASINs, seller IDs/usernames, and seller page URLs. Input normalization handles IDs and URLs cleanly for your Amazon seller list extractor pipelines.

• 🧰 Tunable depth and throughput Control maxComments to limit feedback extraction and maxConcurrency to fit your risk profile.

• 📤 Clean exports Structured Amazon seller analytics data export via Apify datasets — download as JSON, CSV, or Excel for further analysis.

• 👨‍💻 Developer‑friendly Run programmatically via Apify (SDK/API) and integrate results into internal systems for Amazon marketplace seller data extraction workflows.

• 🧾 Transparent logging Detailed logs show normalization steps, limits applied, and per‑URL progress — helpful for QA and monitoring at scale.

Note: Keyword-based discovery via keywordInputs is acknowledged but not yet implemented (inputs are logged and skipped).

How to use Amazon Seller Data Extractor - step by step

1. Sign in to Apify Create or log in to your Apify account.

2. Open the actor Find “Amazon Seller Data Extractor” in the Apify Store and click Try for free or Run.

3. Add your inputs

   • asinInputs: paste ASINs like B00P8XQPY4 to map products to sellers.
   • usernameInputs: paste seller IDs/usernames like A33W53J5GVPZ8K.
   • startUrls: paste full seller URLs like https://www.amazon.com/sp?seller=... .
   • keywordInputs: currently logged as “not yet fully implemented” and skipped.

4. Configure settings (optional)

   • amazonDomain: choose marketplace domain (e.g., amazon.com).
   • language: set a locale code or leave empty for default.
   • proxyCountry: choose a country or use AUTO.
   • useCaptchaSolver: toggle in UI (logged only).
   • sortOrder: set review/feedback sort preference (logged only).
   • maxComments: limit number of feedback items per seller (0 = all).
   • maxConcurrency: bound parallel requests for stability.

5. Start the run Click Start. The log shows normalization, proxy setup (always residential), and progress for seller/product URLs.

6. Monitor progress Watch logs for feedback count limits and any skipped inputs (e.g., keywords).

7. Review and export results Go to the run’s Dataset. Export to JSON, CSV, or Excel and feed your CRM/BI workflow for Amazon seller analytics data export.

Pro Tip: Use Apify’s API or scheduling to automate Amazon merchant data scraper tool runs and keep seller datasets fresh.

Use cases

Use case name	Description
Sales ops – seller lead lists	Build structured records of seller IDs, names, ratings, and “About” text for outreach using an Amazon seller leads scraper.
Competitive benchmarking	Track seller ratings, feedback trends, and profile changes across time using an Amazon store data scraper.
ASIN-to-seller mapping	Convert product ASINs into seller profiles to understand merchant coverage with an Amazon ASIN to seller mapping scraper.
Marketplace research	Aggregate sellers by domain and profile attributes for category/region analysis with an Amazon vendor data extraction tool.
Data enrichment pipelines	Enrich internal catalogs with products_link and rating summaries for downstream analytics via API.
Academic/analyst studies	Export structured seller profiles for research into marketplace dynamics with an Amazon seller directory scraper.

Why choose Amazon Seller Data Extractor?

Built for precision and reliability, this Amazon seller information extractor focuses on structured, resilient data collection at scale.

• ✅ Accurate, structured fields aligned to public seller pages
• 🌍 Residential proxy preconfigured for resilient crawling (optional country pinning)
• 📈 Scale controls with maxConcurrency and retry/backoff strategy
• 👩‍💻 Developer access via Apify platform for automation and pipelines
• 🧩 Easy exports (JSON/CSV/Excel) for BI, CRM, or data warehouses
• 🔒 Ethical-by-design: targets public pages only; no login or private data
• 🆚 Scraper tool vs. fragile browser extensions: production-ready, cloud-hosted reliability

In short, it’s a production-ready Amazon seller data scraper built for teams that value clean fields, dependable runs, and workflow integration.

Is it legal / ethical to use Amazon Seller Data Extractor?

Yes — when used responsibly. This actor extracts data from publicly available Amazon seller pages and does not access private or authenticated content.

Guidelines:

• Only process publicly accessible pages and fields.
• Comply with applicable regulations (e.g., GDPR, CCPA) and organizational policies.
• Be mindful of Amazon’s terms of service and acceptable use.
• Avoid personal data collection and use results responsibly.
• Consult your legal team for edge cases or jurisdiction-specific questions.

Input parameters & output format

Example JSON input

{
  "asinInputs": ["B00P8XQPY4"],
  "usernameInputs": ["A33W53J5GVPZ8K"],
  "keywordInputs": [],
  "startUrls": ["https://www.amazon.com/sp?seller=A2N5Q13T20FFT2"],
  "amazonDomain": "amazon.com",
  "language": "",
  "proxyCountry": "AUTO",
  "useCaptchaSolver": false,
  "sortOrder": "recent",
  "maxComments": 10,
  "maxConcurrency": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Parameters

Field	Type	Required	Default	Description
asinInputs	array	No	–	List of Amazon ASINs (e.g., B00P8XQPY4). The actor will extract seller information from product pages.
usernameInputs	array	No	–	List of Amazon seller usernames or seller IDs (e.g., A33W53J5GVPZ8K).
keywordInputs	array	No	–	List of keywords to search for sellers (e.g., “electronics seller”, “bookstore”). Logged as not yet fully implemented and skipped.
startUrls	array	No	–	List of Amazon seller page URLs (e.g., https://www.amazon.com/sp?seller=A33W53J5GVPZ8K).
amazonDomain	string	No	amazon.com	Amazon domain to use (e.g., amazon.com, amazon.co.uk, amazon.de).
language	string	No	""	Language for Amazon pages (e.g., en-US, en-GB, de-DE). Leave empty for default.
proxyCountry	string	No	AUTO	Country for proxy selection. Use “AUTO” for automatic selection.
useCaptchaSolver	boolean	No	false	Enable captcha solver (warning: may incur additional costs). Logged only.
sortOrder	string	No	recent	Sort order for feedbacks (if applicable). Options: “recent”, “helpful”, “rating”. Logged only.
maxComments	integer	No	10	Maximum number of feedback comments to extract per seller (0 = all available).
maxConcurrency	integer	No	10	Maximum number of seller/product pages fetched in parallel. Lower values are safer for avoiding blocks and instability on Amazon.
proxyConfiguration	object	No	–	This actor always uses residential proxy regardless of your selection. Option is available for compatibility but will be overridden.

Example JSON output

{
  "url": "https://www.amazon.com/sp?seller=A33W53J5GVPZ8K",
  "seller_id": "A33W53J5GVPZ8K",
  "seller_name": "Peckomatic",
  "description": "Peckomatic is committed to providing each customer with the highest standard of customer service.",
  "detailed_info": [
    { "title": "Business Name", "value": "Francis Kunnumpurath" },
    { "title": "Business Address", "value": "2612 state route 80, Lafayette, NY, 13084, US" }
  ],
  "feedbacks": [
    {
      "stars": "5 out of 5 stars",
      "text": "Arrived in great condition.",
      "date": "By Kao y. on November 16, 2021."
    }
  ],
  "stars": "4.5 out of 5 stars",
  "return_policy": [],
  "shipping_policies": "Unless noted otherwise in the ordering pipeline, ships within two days of receiving an order...",
  "privacy_security": "Amazon knows that you care how information about you is used and shared...",
  "privacy_policy": "We value the privacy of your personal data.",
  "help_content": "For questions about a charge that has been made to your credit card, please contact Amazon...",
  "products_link": "https://www.amazon.com/s?ie=UTF8&marketplaceID=ATVPDKIKX0DER&me=A33W53J5GVPZ8K",
  "rating_positive": "88% positive",
  "feedbacks_percentages": {
    "star_5": "79%",
    "star_4": "10%",
    "star_3": "7%",
    "star_2": "0%",
    "star_1": "5%"
  },
  "rating_count_m12": 0,
  "rating_count_m3": 0,
  "rating_count_lifetime": 42,
  "rating_count_m1": 0,
  "country": "US",
  "timestamp": "2026-04-16T12:34:56.000Z",
  "seller_phone_number": null
}

Notes:

• Many fields depend on page availability. If a section is missing on the seller page, the field may be an empty string, empty array/object, 0, or null.
• products_link is constructed only when seller_id is known.

FAQ

Is there a free tier or trial?

Yes. You can run the actor on Apify and use the trial minutes available on the platform. For ongoing use, refer to the Apify Store listing for current pricing.

Do I need to log in to Amazon?

No. The Amazon store data scraper operates on publicly accessible seller pages and does not require Amazon login.

Can I integrate this with my stack or use an API?

Yes. Run it via the Apify platform and access results through the dataset API. Developers often pipe JSON to warehouses or CRMs for Amazon seller analytics data export.

Can it find the seller from an ASIN?

Yes. Provide ASINs in asinInputs and the actor will locate the seller link from the product page, acting as an Amazon ASIN to seller mapping scraper.

Does keyword search work?

Not yet. keywordInputs are currently logged as “not yet fully implemented” and skipped. Use ASINs, seller IDs, or seller URLs for now.

What Amazon regions are supported?

You can set amazonDomain for input normalization and logging. Note that certain internal links (e.g., products_link) are constructed for the US domain when seller_id is detected.

How do proxies work?

Residential proxies are always enforced, regardless of the proxyConfiguration you select. You may set proxyCountry for targeting; the actor logs and applies the country when provided.

What data formats can I export?

Results are stored in an Apify dataset. Export your Amazon seller directory scraper results as JSON, CSV, or Excel.

Closing thoughts

Amazon Seller Data Extractor is built to turn seller pages and ASINs into clean, structured marketplace intelligence. With resilient residential proxies, tunable depth and concurrency, and export-ready datasets, it’s a reliable Amazon merchant data scraper tool for marketers, developers, analysts, and researchers. Run it on a schedule, pull results via API, and plug them into your analytics or CRM to automate your Amazon seller profile scraper workflow. Start extracting smarter, structured seller insights today.