Amazon Product Detail logo

Amazon Product Detail

OrganizationPopular
browser-act
amazon-product-detail

Amazon product detail page scraper: extract full product data from any open Amazon product detail URL (any /dp/{asin} or /gp/product/{asin} page across all Amazon regional TLDs) — returns asin, url, title, brand, price, listPrice, stars, reviewsCount, starsBreakdown (5/4/3/2/1 star percentages), answeredQuestions, inStock, inStockText, delivery, fastestDelivery, returnPolicy, breadCrumbs, features (bullet points), description, bookDescription, thumbnailImage, highResolutionImages, galleryThumbnails, productOverview (Brand/Model/etc.), attributes (tech spec table), attributesMapped (flat key-value), bestsellerRanks (rank + category + url), variantAttributes (currently selected color/size/style), variantAsins, seller (name + id + url), isAmazonChoice, amazonChoiceText, monthlyPurchaseVolume, hasAPlusContent, hasBrandStory, aiReviewsSummary, reviewsLink, productPageReviews (sample), videosCount, locationText, loadedCountryCode. Works on amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, amazon.com.mx, amazon.com.br, amazon.nl, amazon.se, amazon.sg, amazon.ae, amazon.sa, amazon.pl, amazon.tr, amazon.eg. Use when user mentions Amazon product page, Amazon /dp/, Amazon dp URL, Amazon ASIN scraper, Amazon product detail, Amazon PDP, Amazon product data, Amazon product info, Amazon product fields, Amazon product attributes, Amazon full field extraction, Amazon per-ASIN enrichment, Amazon rating breakdown, Amazon stars breakdown, Amazon bestseller rank, Amazon BSR, Amazon variants, Amazon variant ASINs, Amazon color size options, Amazon feature bullets, Amazon A+ content, Amazon brand story, Amazon AI review summary, Amazon bought in past month, Amazon monthly sales volume, Amazon Amazon's Choice badge, Amazon seller info, scrape Amazon product, enrich Amazon ASIN, Amazon ASIN details, Amazon product review data. Also applies to bulk ASIN enrichment from a list of URLs, competitive product research, brand catalog audits, price and stock monitoring per AS

Overview

Publisherbrowser-act
Repositoryskills
Skill nameamazon-product-detail
Stars
5.9K
Forks
295
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by browser-act on GitHub. Read the source before you install it.

Installation

Install the Amazon Product Detail AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/solutions/ecommerce/amazon-product-detail .claude/skills/amazon-product-detail
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Product Detail in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Amazon Product Detail on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Amazon Product Detail is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Amazon — Product Detail

Input any Amazon product URL → output full product record (100+ fields).

Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Extract the complete product record from any Amazon detail page URL across all Amazon regional TLDs, including price, ratings breakdown, attributes, variants, bestseller ranks, seller info, delivery, and sample reviews.

Prerequisites

  • Target page is already open in the browser: any Amazon product URL (e.g. https://www.amazon.com/dp/{ASIN}, https://www.amazon.com/gp/product/{ASIN}, https://www.amazon.co.uk/dp/{ASIN}, or the canonical SEO-slug URL https://www.amazon.com/{slug}/dp/{ASIN})
  • No login required

Pre-execution Checks

1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

Capability Components

This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf — the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the scripts/ directory, invoked via browser-act --session {name} eval "$(python scripts/xxx.py {params})". The $(...) is bash command substitution — it runs the python script, captures its printed JS text, and hands that JS string as a single argument to browser-act eval. Do not run eval "$(python ...)" as a bare shell command; that would ask bash to execute the JS as shell, which fails.

DOM: extract full product detail from current product page

Amazon detail pages are server-rendered HTML — no XHR/fetch API for detail data. All fields come from stable DOM selectors:

  1. navigate {any Amazon product URL, e.g. https://www.amazon.com/dp/{ASIN}}
  2. wait stable
  3. Extract: browser-act --session {name} eval "$(python scripts/extract-product-detail.py)"

On error paths, the script returns:

  • {"error": true, "message": "product_not_found: 404 page"} when the URL resolves to Amazon's not-found page
  • {"error": true, "message": "productTitle not found - page may not be a product detail page"} when the URL resolves to a non-detail page (e.g. search results, homepage)

Output example:

json
{
  "asin": "B09S3HNMHF",                                // parsed from /dp/{ASIN} or /gp/product/{ASIN} path segment
  "url": "https://www.amazon.com/dp/B09S3HNMHF",       // canonical origin + pathname
  "title": "Samsung 14\" Galaxy Chromebook Go ...",    // #productTitle
  "brand": "Samsung",                                  // #bylineInfo, falls back to attributesMapped.Brand/Manufacturer
  "price": {"value": 179.99, "currencyRaw": "$", "raw": "$179.99"},   // current buybox price, null when no offer
  "listPrice": {"value": 190.99, "currencyRaw": "$", "raw": "$190.99"}, // strike-through list price, null when absent
  "stars": 4.3,                                        // 0-5 average rating, null when no reviews
  "reviewsCount": 632,                                 // total review count, null when no reviews
  "starsBreakdown": {"5 star": 70, "4 star": 13, "3 star": 5, "2 star": 3, "1 star": 9},  // percentage per star bucket
  "answeredQuestions": null,                           // number, null when absent or non-numeric
  "inStock": true,                                     // derived from availability text, null when unclear
  "inStockText": "In Stock",                           // raw #availability text
  "delivery": "FREE delivery Wednesday, July 15",      // primary delivery message, null when absent
  "fastestDelivery": null,                             // secondary/fastest delivery, null when absent
  "returnPolicy": "30-day return period",              // null when absent
  "breadCrumbs": "Electronics > Computers > Laptops > Traditional Laptops",  // joined with ' > ', "" when absent
  "features": ["Slim design", "12-hour battery", "..."],  // #feature-bullets bullet points
  "description": "A+ in performance and value...",     // #productDescription, null when absent
  "bookDescription": null,                             // #bookDescription_feature_div for books, null otherwise
  "thumbnailImage": "https://m.media-amazon.com/images/I/51...jpg",
  "highResolutionImages": ["https://m.media-amazon.com/images/I/51...SY450_.jpg", "..."],  // from #imgTagWrapperId data-a-dynamic-image JSON
  "galleryThumbnails": ["https://m.media-amazon.com/images/I/41...jpg", "..."],
  "productOverview": [{"key": "Brand", "value": "Samsung"}, {"key": "Model Name", "value": "XE340XDA-KA2US"}],  // #productOverview_feature_div table
  "attributes": [{"key": "Color", "value": "Silver"}, {"key": "Item Weight", "value": "3.2 pounds"}],  // technical spec tables
  "attributesMapped": {"Brand": "Samsung", "Item Weight": "3.2 pounds"},  // flat merged key-value
  "bestsellerRanks": [
    {"rank": 44, "category": "Computers & Accessories", "url": "https://www.amazon.com/gp/bestsellers/pc/..."},
    {"rank": 5, "category": "Traditional Laptop Computers", "url": "https://www.amazon.com/gp/bestsellers/pc/13896615011/..."}
  ],
  "variantAttributes": [{"key": "Color", "value": "Silver"}],  // currently selected variant dimensions
  "variantAsins": ["B09S3HNMHF", "B0G4WBD45V", "B0GG2CPM1K"],  // all variant ASINs from swatches, empty [] when no variants
  "seller": {"name": "Amazon.com", "id": "ATVPDKIKX0DER", "url": "https://www.amazon.com/sp?seller=..."},  // null when no seller link
  "isAmazonChoice": false,                             // .ac-badge-rectangle presence
  "amazonChoiceText": null,                            // Amazon's Choice label text, null when badge absent
  "monthlyPurchaseVolume": "6K+ bought in past month", // #social-proofing-faceout-title-tk_bought, null when absent
  "hasAPlusContent": true,                             // #aplus presence
  "hasBrandStory": false,                              // #brand-snapshot_feature_div presence
  "aiReviewsSummary": null,                            // AI-generated review summary text, null when absent
  "reviewsLink": "https://www.amazon.com/product-reviews/B09S3HNMHF",
  "productPageReviews": [
    {"username": "Jane D.", "ratingScore": 5, "reviewTitle": "Great product!", "reviewDescription": "Really happy with this purchase.", "date": "Reviewed in the United States on January 15, 2025"}
  ],
  "videosCount": null,                                 // count of gallery video slots, null when none
  "locationText": "Update location",                   // #glow-ingress-line2 delivery-location display
  "loadedCountryCode": "com"                           // amazon.{tld} suffix used to detect region (com, co.uk, de, co.jp, etc.)
}

Success Criteria

response.error is not present AND response.asin matches /^[A-Z0-9]{10}$/ AND response.title is a non-empty string

Known Limitations

  • answeredQuestions is null on many pages because Amazon's Q&A widget layout varies; when present, the field surfaces the numeric count.
  • aiReviewsSummary is populated only on products with sufficient reviews and Amazon's AI summary feature enabled.
  • variantAsins covers ASINs visible in swatch elements (data-defaultasin, data-asin, data-dp-url); large twister structures whose variants are lazy-loaded via XHR only surface the visible subset on first render.
  • productPageReviews returns the sample reviews Amazon renders on the detail page (typically 6-10 items) — for full review pagination use a separate review-scraping capability.
  • Prices, delivery, and stock reflect the browsing session's inferred country/zip; use a proxy in the target region to fetch localized values.
  • CAPTCHA / anti-bot interstitials will cause the script to return productTitle not found — surface this to the caller so it can retry with a fresh session or proxy.
  • Bestseller ranks are only populated when the product page renders the "Best Sellers Rank" row in detail bullets or product-details tables.
  • Amazon A/B experiments occasionally reorder DOM containers; on failure to extract a specific field, inspect page structure and open an issue rather than assuming Amazon-wide breakage.

Execution Efficiency

  • Batch orchestration: Write a bash script iterating ASINs serially inside one browser session; do not parallelize inside one browser. Insert a 3-6 second delay between ASINs to reduce anti-scraping pressure. For higher throughput, open multiple stealth sessions (different fingerprints/proxies) and shard the ASIN list.
  • Test before batch execution: After writing the batch script, first test with 2-3 ASINs before running the full enrichment. Never skip testing.
  • Reduce redundant pre-operations: Reuse the same browser session across ASINs — only navigate + wait stable + eval per item, no need to re-open.
  • Error resumption: Persist per-ASIN JSON as it completes so a partial crash resumes from the failed ASIN.

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/amazon-scraper-amazon-product-detail.memory.md (working directory is determined by the Agent running the Skill, typically the project root or current working directory)

Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.

After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line: {YYYY-MM-DD}: {what happened} → {conclusion}

Normal execution does not write to the file. Do not record what keywords were used or how many results were returned — those are task outputs, not experience.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Amazon Product Detail AI skill do?

Amazon product detail page scraper: extract full product data from any open Amazon product detail URL (any /dp/{asin} or /gp/product/{asin} page across all Amazon regional TLDs) — returns asin, url, title, brand, price, listPrice, stars, reviewsCount, starsBreakdown (5/4/3/2/1 star percentages), answeredQuestions, inStock, inStockText, delivery, fastestDelivery, returnPolicy, breadCrumbs, features (bullet points), description, bookDescription, thumbnailImage, highResolutionImages, galleryThumbnails, productOverview (Brand/Model/etc.), attributes (tech spec table), attributesMapped (flat key...

Why use Amazon Product Detail on TypingMind?

Because you install it once and use it with any model. Amazon Product Detail is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Amazon Product Detail in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browser-act/skills/tree/main/solutions/ecommerce/amazon-product-detail. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Amazon Product Detail?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Amazon Product Detail?

As many as you like. As long as a model supports skills, you can use Amazon Product Detail with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Amazon Product Detail AI skill free?

Yes. It is published on GitHub by browser-act under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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