本文へ移動
cccskills
無料GitHub で公開

amazon-asin-lookup-api-skill

This skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.

browser-act/skills
インストール方法を見る

含まれるファイル（2）

  • SKILL.md5.8 KB
  • scripts/amazon_asin_lookup_api.py4.2 KB

SKILL.md（原文）

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Amazon ASIN Lookup Skill

📖 Introduction

This skill utilizes BrowserAct's Amazon ASIN Lookup API template to provide a seamless way to retrieve comprehensive product information from Amazon. By simply providing an ASIN, you can extract structured data including title, price, ratings, brand, and detailed descriptions directly into your application without manual scraping.

✨ Features

  1. No Hallucinations: Pre-set workflows avoid AI generative hallucinations, ensuring stable and precise data extraction.
  2. No Captcha Issues: No need to handle reCAPTCHA or other verification challenges.
  3. No IP Restrictions: No need to handle regional IP restrictions or geofencing.
  4. Faster Execution: Tasks execute faster compared to pure AI-driven browser automation solutions.
  5. Cost-Effective: Significantly lowers data acquisition costs compared to high-token-consuming AI solutions.

🔑 API Key Setup

Before running, check the BROWSERACT_API_KEY environment variable. If not set, do not take other measures; ask and wait for the user to provide it. Agent must inform the user:

"Since you haven't configured the BrowserAct API Key, please visit the BrowserAct Console to get your Key."

🛠️ Input Parameters

The agent should configure the following parameters based on user requirements:

  1. ASIN (Amazon Standard Identification Number)
    • Type: string
    • Description: The unique identifier for the Amazon product.
    • Required: Yes
    • Example: B07TS6R1SF

🚀 Usage

The agent should execute the following script to get results in one command:

# Example Usage
python -u ./scripts/amazon_asin_lookup_api.py "ASIN_VALUE"

⏳ Execution Monitoring

Since this task involves automated browser operations, it may take some time (several minutes). The script will continuously output status logs with timestamps (e.g., [14:30:05] Task Status: running). Agent Instructions:

  • While waiting for the script result, keep monitoring the terminal output.
  • As long as the terminal is outputting new status logs, the task is running normally; do not mistake it for a deadlock or unresponsiveness.
  • Only if the status remains unchanged for a long time or the script stops outputting without returning a result should you consider triggering the retry mechanism.

📊 Data Output

Upon success, the script parses and prints the structured product data from the API response, which includes:

  • product_title: Full title of the product.
  • ASIN: The provided ASIN.
  • product_url: URL of the Amazon product page.
  • brand: Brand name.
  • price_current_amount: Current price.
  • price_original_amount: Original price (if applicable).
  • price_discount_amount: Discount amount (if applicable).
  • rating_average: Average star rating.
  • rating_count: Total number of ratings.
  • featured: Badges like "Amazon's Choice".
  • color: Color variant (if applicable).
  • compatible_devices: List of compatible devices (if applicable).
  • product_description: Full product description.
  • special_features: Highlighted features.
  • style: Style attribute (if applicable).
  • material: Material used (if applicable).

⚠️ Error Handling & Retry

If an error occurs during script execution (e.g., network fluctuations or task failure), the Agent should follow this logic:

  1. Check Output Content:

    • If the output contains "Invalid authorization", it means the API Key is invalid or expired. Do not retry; guide the user to re-check and provide the correct API Key.
    • If the output does not contain "Invalid authorization" but the task failed (e.g., output starts with Error: or returns empty results), the Agent should automatically try to re-execute the script once.

  2. Retry Limit:

    • Automatic retry is limited to one time. If the second attempt fails, stop retrying and report the specific error information to the user.

🌟 Typical Use Cases

  1. Product Data Enrichment: Retrieve full details for a list of ASINs to update an e-commerce database.
  2. Price Comparison: Lookup current Amazon prices for specific ASINs to compare with other retailers.
  3. Review Monitoring: Track changes in rating averages and review counts for key products.
  4. Availability Checks: Automatically verify if a specific product is currently in stock on Amazon.
  5. Brand Analysis: Identify the brand and manufacturer of products identified by ASIN.
  6. Detailed Specifications: Fetch material, style, and color information for catalog management.
  7. Feature Highlighting: Extract "special features" and detailed descriptions for marketing copy.
  8. Compatibility Verification: Check "compatible devices" for electronics or accessories.
  9. Market Research: Analyze featured badges like "Amazon's Choice" for specific product IDs.
  10. URL Resolution: Convert a list of ASINs into full Amazon product page URLs.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

ログインしてレビューを書く

同じリポジトリのスキル

概要と使いどころ

1688-product-detail

無料

Extracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1332026年8月24日 更新

airbnb-listing-detail

無料

Fetches complete Airbnb listing details for a given numeric listing ID via the internal GraphQL API, returning title, room type, description, amenities, photos, coordinates, city, house rules, highlights, ratings, review count, bedroom configuration, and property overview. Use when user mentions Airbnb listing details, Airbnb property info, Airbnb room details, get Airbnb listing data, Airbnb amenities list, Airbnb house rules, Airbnb property description, Airbnb detail page scraper, Airbnb rooms detail, Airbnb property page data, Airbnb listing info, fetch Airbnb room details, pull Airbnb listing.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1332026年8月24日 更新

airbnb-search-listing

無料

Extracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page extraction, Airbnb search by destination.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1332026年8月24日 更新

amazon-alexa-qa

無料

Amazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1332026年8月24日 更新

amazon-best-selling-products-finder-api-skill

無料

This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1332026年8月24日 更新

amazon-bestseller-listing

無料

Amazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers (zgbs) or /gp/bestsellers/ category page — returns rank (position on chart), asin, title, url, image, imageAlt, price, stars, reviewCount, ratingRaw per item, plus category metadata (categoryName, categoryFullName, categoryUrl) and pagination state (currentPage, hasNextPage, nextPageUrl). Works across all Amazon regional TLDs (amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, etc.). Use when user mentions Amazon Best Sellers, Amazon bestsellers, Amazon top 100, Amazon zgbs, Amazon /zgbs/, Amazon /gp/bestsellers/, Amazon Best Sellers Rank, Amazon BSR, Amazon top ranked products, Amazon top-selling products, Amazon chart, Amazon category ranking, Amazon best sellers by category, Amazon best sellers electronics, Amazon best sellers kitchen, Amazon best sellers toys, scrape Amazon bestsellers, extract Amazon top 100, Amazon rank scraper, Amazon best seller list, Amazon leaderboard, Amazon trending products, discover trending Amazon products, Amazon niche discovery, Amazon top ranked ASINs. Also applies to competitive intelligence via ranking snapshots, spotting up-and-coming products, sourcing bestseller ASINs for further enrichment, tracking rank changes over time, and building bestseller-per-category datasets.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1332026年8月24日 更新

browser-act のスキルをすべて見る

このスキルの問題を報告する