Amazon Seller Data Extractor

Amazon Seller Data Extractor

Amazon Seller Data Extractor is a fast, reliable Amazon seller data scraper that collects public seller information at scale — including seller IDs, storefront URLs, ratings, feedback, product links, and more. It solves the pain of manual lookups by turning ASINs, seller IDs, and seller URLs into structured records you can use for market research, competitor analysis, and lead generation. Built for marketers, developers, data analysts, and researchers, this Amazon seller information extractor enables bulk collection, clean exports, and automation-ready pipelines for large-scale insights. 🚀

What data / output can you get?

Below are the exact JSON fields this Amazon seller storefront scraper produces and pushes to the Apify dataset. Each field reflects the live structure used by the actor.

Data type	Description	Example value
url	The seller or product page URL used for extraction	https://www.amazon.com/sp?seller=A33W53J5GVPZ8K
seller_id	Amazon seller ID parsed from URL or page	A33W53J5GVPZ8K
seller_name	Display name from the seller page (if present)	Peckomatic
description	“About Seller” text content	Peckomatic is committed to providing each customer with the highest standard of customer service.
detailed_info	Structured details like Business Name and Business Address	[{"title":"Business Name","value":"Francis Kunnumpurath"},{"title":"Business Address","value":"2612 state route 80, Lafayette, NY, 13084, US"}]
feedbacks	Parsed recent feedback entries with stars, text, and date	[{"stars":"5 out of 5 stars","text":"…","date":"By Kao y. on November 16, 2021."}]
stars	Overall seller rating text (if present)	4.5 out of 5 stars
return_policy	Reserved for return policy data (currently an empty array)	[]
shipping_policies	Shipping policies paragraph (if present)	Ships all items within two days of receiving an order…
privacy_security	Privacy & security notice text (if present)	Amazon knows that you care how information about you is used and shared…
privacy_policy	Seller privacy policy content (if present)	Peckomatic values the privacy of your personal data.
help_content	Help/returns/refund contact text (if present)	For questions about a charge…
products_link	Direct link to seller’s product listings	https://www.amazon.com/s?ie=UTF8&marketplaceID=ATVPDKIKX0DER&me=A33W53J5GVPZ8K
rating_positive	Positive rating percentage summary (if present)	88% positive
feedbacks_percentages	Star rating distribution (1–5)	{"star_5":"79%","star_4":"10%","star_3":"7%","star_2":"0%","star_1":"5%"}
rating_count_m12	Ratings count (last 12 months, if present)	0
rating_count_m3	Ratings count (last 3 months, if present)	0
rating_count_lifetime	Total lifetime ratings (if present)	42
rating_count_m1	Ratings count (last 1 month, if present)	0
country	Marketplace country tag (default set)	US
timestamp	ISO timestamp of extraction	2026-04-02T16:04:44.397Z
seller_phone_number	Seller phone number (reserved; null by default)	null

Notes:

• Results are saved to the Apify dataset and can be downloaded in common formats like JSON, CSV, or Excel from the Apify platform.
• Some fields may be empty or null if not present on a specific seller page.

Key features

• 🔗 Bold normalization for IDs & ASINs
  Turn ASINs into product pages and auto-discover seller links. Convert seller IDs/usernames into normalized storefront URLs. This Amazon seller ID extractor streamlines input variability at scale.

• 🧵 Async engine with retry resilience
  Uses aiohttp with exponential backoff and status-aware retries for robust scraping on Amazon. Designed for reliability across large batches.

• 🧠 Feedback collection with limits
  Extracts public feedback entries and lets you cap the number with maxComments (0 = all). Ideal for controlling volume in bulk runs.

• 🌍 Marketplace/domain control
  Choose your marketplace via amazonDomain (e.g., amazon.com, amazon.co.uk, amazon.de) and optionally pass language hints.

• 🛡 Residential proxies always-on
  Automatically configures and uses Apify residential proxy for every run. Optionally pin a proxyCountry for geolocation needs. Stability without extra setup.

• 🧰 Bounded concurrency for safety
  Control parallelism with maxConcurrency to balance speed and reduce the risk of blocks on Amazon.

• 💾 Structured dataset exports
  Output is a well-structured, tabular JSON you can export from Apify as JSON/CSV/Excel for dashboards, CRMs, and analytics.

• 🧩 Developer-friendly workflows
  Run on Apify, chain with APIs, and integrate the dataset into pipelines. Perfect for automation-driven Amazon seller data scraping software and research workflows.

• 📝 Transparent settings
  Includes sortOrder and useCaptchaSolver inputs for compatibility. Note: keywordInputs are accepted but currently skipped (logged as “not yet fully implemented”).

How to use Amazon Seller Data Extractor - step by step

1. Create or log in to your Apify account.
2. Open the Amazon Seller Data Extractor actor in Apify.
3. Add inputs:
   • asinInputs: paste ASINs like B00P8XQPY4.
   • usernameInputs: paste seller IDs like A33W53J5GVPZ8K.
   • startUrls: paste seller URLs like https://www.amazon.com/sp?seller=A33W53J5GVPZ8K.
   • keywordInputs: accepted but currently skipped (logged).
4. Configure settings:
   • amazonDomain to target a marketplace (e.g., amazon.com).
   • language for page language hints (optional).
   • proxyCountry to pin residential proxy location or keep AUTO.
   • maxComments to limit collected feedbacks (0 = all).
   • sortOrder (recent/helpful/rating) for future compatibility.
   • maxConcurrency to tune speed and safety.
5. Start the run. The actor will normalize inputs, fetch pages, and extract public seller data.
6. Monitor logs for progress, retries, and any normalization notes.
7. Download/export results from the run’s Dataset in JSON, CSV, or Excel.

Pro Tip: Use Apify’s API and scheduling to operationalize this Amazon marketplace seller data extractor in your data pipelines or enrichment workflows.

Use cases

Use case name	Description
Market research + benchmarking	Aggregate ratings, reviews, and product links to quantify seller quality and category presence across marketplaces.
Competitor tracking for e‑commerce	Monitor competitor storefronts with this Amazon seller data scraping tool and analyze rating trends and feedback content.
Lead generation for vendors	Build a list of active sellers with IDs and product links using this Amazon seller leads extractor for outreach and enrichment.
Amazon FBA operations insight	Use the Amazon FBA seller data extractor to map sellers’ feedback profiles and prioritize partner/supplier evaluation.
Data enrichment for analytics	Feed structured seller profiles into BI tools and CRMs; export from the dataset as JSON/CSV/Excel.
API-driven pipelines	Run on a schedule, pull datasets via API, and power dashboards or alerts using this Amazon sellers database scraper.
Academic & policy research	Analyze public seller data distributions, feedback sentiment proxies, and marketplace dynamics across domains.

Why choose Amazon Seller Data Extractor?

Purpose-built for precision, automation, and reliability, this Amazon seller lookup scraper combines robust normalization, residential proxy stability, and clean JSON outputs.

• 🎯 Accurate field mapping: Extracts clearly defined fields (IDs, ratings, feedbacks, product links, policies) with a stable HTML parsing strategy.
• 🌐 Marketplace-aware: Select your amazonDomain and optional language hints for multi-region coverage.
• ⚡ Scalable & safe: Control throughput with maxConcurrency and benefit from built-in retries and residential proxies.
• 👩‍💻 Developer-ready: Runs on Apify with dataset outputs and API access for easy downstream integration.
• 🔒 Public data focus: Scrapes publicly available seller info without logins or cookies.
• 💸 Cost‑effective automation: Cloud-native workflow reduces maintenance vs. ad-hoc scripts or browser extensions.
• 🧱 Production-minded: Enforced residential proxies and retry logic offer higher resilience than unstable alternatives.

In short: a production-ready Amazon seller data scraper that prioritizes stability, structure, and scale.

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

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

Guidelines to follow:

• Scrape only public seller information and respect Amazon’s Terms of Service.
• Ensure compliance with applicable data regulations (e.g., GDPR, CCPA).
• Use outputs responsibly for permitted business purposes.
• Consult your legal team for edge cases or jurisdiction-specific requirements.

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

Parameter	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. Note: currently 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). Present for compatibility; not directly integrated in the current code path.
sortOrder	string	No	"recent"	Sort order for feedbacks (if applicable). Options: "recent", "helpful", "rating".
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	(none; prefill: {"useApifyProxy": false})	Compatibility field. Note: The actor always uses residential proxy regardless of your selection and may add proxyCountry if set.

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": "It say not to exceed 10ths total but I did anyway...",
      "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, Peckomatic ships all items within two days of receiving an order...",
  "privacy_security": "Amazon knows that you care how information about you is used and shared...",
  "privacy_policy": "Peckomatic values 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": "2026-04-02T16:04:44.397Z",
  "seller_phone_number": null
}

Notes:

• Some fields (e.g., seller_name, stars, percentages) depend on page availability and may be empty.
• return_policy is currently an empty array; seller_phone_number defaults to null.

FAQ

Is there a free trial?

Yes. You can run the actor on Apify with a trial period/minutes depending on your plan and the actor’s pricing settings. Check the Apify listing to see current trial availability before subscribing.

Do I need to log in to Amazon?

No. The actor fetches publicly available seller and product pages without using Amazon logins or cookies.

Can I run it via API or integrate with Python?

Yes. As an Apify actor, it can be triggered via the Apify API, and results can be fetched programmatically to integrate with your pipelines or Python workflows.

Does it support multiple Amazon regions?

Yes. Set amazonDomain (e.g., amazon.com, amazon.co.uk, amazon.de) to target different marketplaces. You can also pass language hints via the language input.

Can it extract sellers starting from ASINs?

Yes. Provide ASINs in asinInputs and the actor will visit each product page, detect the seller link, and then scrape the seller’s storefront.

What about keyword-based discovery?

The actor accepts keywordInputs, but keyword search is not yet fully implemented in the current version. Keywords are logged and skipped so you retain a consistent configuration for future updates.

How does it handle CAPTCHAs and blocking?

The actor enforces residential proxies for every run and supports a proxyCountry pin for better locality. There is a useCaptchaSolver flag in the input, but the current code path does not directly integrate a solver; enabling it may incur additional costs if used in future-compatible setups.

What export formats are available?

Data is stored in the Apify dataset, from which you can export to JSON, CSV, or Excel. This makes it easy to power CRMs, dashboards, and analytics pipelines.

Is it suitable for Amazon FBA or seller lead lists?

Yes. As an Amazon seller list extractor and Amazon FBA seller data extractor, it’s ideal for building structured seller datasets, tracking feedback, and compiling product listing links for research and outreach.

Closing thoughts

Amazon Seller Data Extractor is built to turn ASINs, seller IDs, and storefront URLs into clean, structured seller intelligence at scale. With enforced residential proxies, robust retries, and bounded concurrency, it delivers reliable extractions and ready-to-use datasets for marketers, developers, analysts, and researchers. Use the Apify API to automate runs, export datasets to your warehouse, and integrate this Amazon seller data scraping software into your enrichment workflows. Start extracting smarter seller insights today.