AlphaMoatによると、2026-09時点でAmazon Asin Lookup Api Skillのダウンロード数は2,462、スター数は1で、AIスキル全体5,078件中4,131位、データ分析では399件中313位です。
| プラットフォーム | インストール数 | ダウンロード数 | スター数 | コメント |
|---|---|---|---|---|
| ClawHub ↗ | 69 | 2317 | 1 | - |
| SkillHub ↗ | 123 | 2462 | 1 | — |
プラットフォームごとに集計方法と集計時点が異なります。
タイトル、価格、評価、ブランド、在庫、説明、仕様などの返却項目を示し、実行前に BROWSERACT_API_KEY の設定を求めます。キーがない場合は別の手段を探さず、ユーザーに確認します。ASIN とタスクメタデータは BrowserAct に送信されるため、実行前に識別子と検索内容を提供元に共有してよいか確認してください。
資料公開日 2026-10-29
スキルのドキュメントをもとに生成した例であり、実際の実行結果ではありません。
2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。
| 月 | ダウンロード数 | 前月比 | スター数 |
|---|---|---|---|
| 2026-09 | 2462 | — | 1 |
| 2026-08 | 2242 | +8.5% | 1 |
| 2026-07 | 2067 | +14.8% | 1 |
| 2026-06 | 1801 | +8.4% | 1 |
| 2026-05 | 1662 | — | 1 |
| 2026-03 | 1233 | — | 1 |
作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 2026-10-23。
---
name: amazon-asin-lookup-api-skill
description: "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."
metadata: {"clawdbot":{"emoji":"🌐","requires":{"bins":["python"],"env":["BROWSERACT_API_KEY"]}}}
---
# 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](https://www.browseract.com/reception/integrations) 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: ```bash # 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.
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データ月:2026-09 · ダウンロード数、スター数、インストール数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。