
Amazon Product Detail
FreeExtract comprehensive product data from Amazon pages.
Free · Opens the source repo
What Amazon Product Detail does
The Amazon Product Detail skill allows users to scrape detailed product information from any open Amazon product page. By simply providing a URL that follows Amazon's standard format, users can retrieve a wealth of data including the product's ASIN, title, brand, pricing, star ratings, reviews count, and much more. This skill is particularly useful for developers and researchers who need to analyze or aggregate product information for various applications, such as competitive analysis, price monitoring, or cataloging.
The skill operates by leveraging the existing data displayed on Amazon's product detail pages. It does not require any special permissions or logins, making it straightforward to use. Users can extract over 100 fields of information, which includes not only basic product details but also intricate data like bestseller ranks, variant attributes, seller information, and customer reviews. The output is provided in a structured JSON format, making it easy to integrate into other applications or workflows.
This skill is designed for anyone who frequently interacts with Amazon product data, including e-commerce analysts, developers building price comparison tools, or marketers conducting product research. It streamlines the process of gathering product information, saving users significant time and effort compared to manual data collection.
However, it is important to note that the skill can only extract information from pages that are already loaded in the browser. It cannot access data behind logins or navigate to different pages autonomously. Therefore, users should ensure that the desired product page is open and accessible before invoking the skill.
When to use it
Use this skill when you need to gather detailed product information from Amazon for analysis or reporting.
When not to use it
This skill is not suitable for extracting data from pages that require authentication or for scraping content from non-product pages.
What you can build with it
Competitive Product Research
Gather detailed information about competitor products to analyze pricing and features.
E-commerce Cataloging
Automate the process of building a normalized dataset of products for an online store.
Price Monitoring
Track price changes over time for specific ASINs to inform purchasing decisions.
How to install Amazon Product Detail
View source1. Install with the skills CLI
npx skills add browser-act/skills/amazon-product-detail --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by browser-actAmazon — 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 URLhttps://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 viabrowser-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 tobrowser-act eval. Do not runeval "$(python ...)"as a bare shell command; that would ask bash to execute the JS as shell, which fails.
DOM: extract full product detail from current product page
Amazon detail pages are server-rendered HTML — no XHR/fetch API for detail data. All fields come from stable DOM selectors:
navigate {any Amazon product URL, e.g. https://www.amazon.com/dp/{ASIN}}wait stable- Extract:
browser-act --session {name} eval "$(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:
{
"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
answeredQuestionsisnullon many pages because Amazon's Q&A widget layout varies; when present, the field surfaces the numeric count.aiReviewsSummaryis populated only on products with sufficient reviews and Amazon's AI summary feature enabled.variantAsinscovers 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.productPageReviewsreturns 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+evalper 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.
Frequently asked questions about Amazon Product Detail
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