pangolinfo-amazon-scraper
Scrape Amazon product data using Pangolin APIs. Use this skill when the user wants to: look up Amazon products by ASIN, search Amazon by keyword, check bestsellers/new releases, get product reviews or pricing, compare products across Amazon regions, browse categories, or research sellers. Requires PANGOLIN_EMAIL + PANGOLIN_PASSWORD env vars (or PANGOLIN_API_KEY).
DeepseekModel
Curated skill
Quality Excellent · 90
v1.0.0
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name pangolinfo-amazon-scraper description Scrape Amazon product data using Pangolin APIs. Use this skill when the user wants to: look up Amazon products by ASIN, search Amazon by keyword, check bestsellers/new releases, get product reviews or pricing, compare products across Amazon regions, browse categories, or research sellers. Requires PANGOLIN_EMAIL + PANGOLIN_PASSWORD env vars (or PANGOLIN_API_KEY). Pangolinfo Amazon Scraper Scrape Amazon product data via Pangolin's structured APIs. Returns parsed JSON with product details, search results, rankings, reviews, and more across 13 Amazon regions. When to Use This Skill Activate this skill when the user's intent matches any of these patterns: Intent (English) Intent (Chinese) Action Look up an Amazon product / ASIN 查一下亚马逊上的这个商品 / ASIN Product detail lookup Search Amazon for a keyword 在亚马逊搜索关键词 Keyword search Show bestsellers in a category 看看某个类目的畅销榜 Bestsellers Show new releases 看看最新上架的商品 New releases Browse a category on Amazon 浏览亚马逊某个分类 Category products Find products from a seller 查看某个卖家的商品 Seller products Get reviews for a product 看看这个产品的评论 Product reviews Compare prices across regions 对比不同国家亚马逊的价格 Multi-region lookup Check seller/variant options 查看其他卖家选项 Follow seller Keywords that trigger this skill: Amazon, ASIN, B0-prefixed codes, product reviews, bestseller, new release, Amazon category, Amazon seller, amz_us/amz_uk/etc., product detail, Amazon search, price comparison across Amazon sites. Prerequisites Required Python 3.8+ (uses only the standard library -- zero external dependencies) Pangolin account at pangolinfo.com Environment variables (one of the following): PANGOLIN_API_KEY -- API key (skips login), OR PANGOLIN_EMAIL + PANGOLIN_PASSWORD -- auto-login with caching macOS SSL Certificate Fix On macOS, Python may fail with CERTIFICATE_VERIFY_FAILED because it ships without root certificates by default. Symptoms: The script exits with error code SSL_CERT . Solutions (pick one): Run the certificate installer bundled with Python: /Applications/Python\ 3.x/Install\ Certificates. command (Replace 3.x with your Python version, e.g., 3.11 ) Set SSL_CERT_FILE from the certifi package: pip3 install certifi export SSL_CERT_FILE=$(python3 -c "import certifi; print(certifi.where())" ) Add the export to your shell profile ( ~/.zshrc or ~/.bashrc ) so it persists. First-Time Setup Guide When a user tries to use this skill and authentication fails (error code MISSING_ENV ), do not just repeat the error hint . Instead, walk the user through the full setup process interactively: Step 1: Explain what's needed Tell the user (in their language): To use this skill, you need a Pangolin API account. Pangolin provides Amazon product data scraping through its APIs. 使用本技能需要 Pangolin API 账号。Pangolin 提供亚马逊商品数据抓取的 API 服务。 Step 2: Guide registration Go to pangolinfo.com and create an account After login, find your API Key in the dashboard 访问 pangolinfo.com 注册账号 登录后在控制台找到你的 API Key Step 3: Collect credentials and authenticate automatically When the user provides their credentials, you (the AI agent) should configure them securely . The script will automatically cache the API key at ~/.pangolin_api_key for all future calls. If user provides an API key (recommended): Write it directly to the cache file — avoids shell history entirely: echo "<api_key>" > ~/.pangolin_api_key chmod 600 ~/.pangolin_api_key 2>/dev/null python3 scripts/pangolin.py --auth-only If user provides email + password: Set env vars in the session and clean up after auth: export PANGOLIN_EMAIL= "user@example.com" export PANGOLIN_PASSWORD= "their-password" python3 scripts/pangolin.py --auth-only unset PANGOLIN_EMAIL PANGOLIN_PASSWORD This avoids passwords appearing in shell history (unlike inline VAR=x command syntax) and cleans up credentials after the API key is cached. Both methods cache the API key automatically. After this one-time setup, no environment variables are needed — all future calls will use the cached API key at ~/.pangolin_api_key . Step 4: Confirm and proceed After auth returns "success": true : Tell the user: "认证成功!API Key 已自动缓存,后续使用无需再次输入。" / "Authentication successful! API Key cached — no need to enter credentials again." Immediately retry their original request. Important The user only needs to provide credentials ONCE — the script caches the API key permanently at ~/.pangolin_api_key Do not ask the user to manually edit .bashrc or .zshrc — the script handles persistence automatically If the user doesn't have an account yet, explain Pangolin's credit system (1 credit per Amazon json request, 5 credits per review page) and direct them to pangolinfo.com If auth succeeds but credits are exhausted (error code 2001 ), tell the user to top up at pangolinfo.com The API key is permanent and does not expire unless the account is deactivated Script Execution The script is located at scripts/pangolin.py relative to this skill's root directory. Path resolution: When invoking the script, resolve the absolute path from the skill directory. For example, if this skill is installed at /path/to/pangolinfo-amazon-scraper/ : python3 /path/to/pangolinfo-amazon-scraper/scripts/pangolin.py --content B0DYTF8L2W --mode amazon --site amz_us Intent-to-Command Mapping 1. Product Detail by ASIN User says: "Look up B0DYTF8L2W on Amazon" / "查一下 B0DYTF8L2W 这个产品" python3 scripts/pangolin.py --content B0DYTF8L2W --mode amazon --site amz_us # Or using the --asin shortcut: python3 scripts/pangolin.py --asin B0DYTF8L2W --site amz_us The script auto-detects 10-character alphanumeric codes as ASINs and selects amzProductDetail . The --asin flag is a convenience shortcut that sets --content and defaults to amzProductDetail parser automatically. 2. Keyword Search User says: "Search Amazon for wireless mouse" / "在亚马逊搜索无线鼠标" python3 scripts/pangolin.py --q "wireless mouse" --mode amazon --site amz_us Non-ASIN text auto-selects amzKeyword parser. 3. Bestsellers User says: "Show me electronics bestsellers" / "看看电子产品畅销榜" python3 scripts/pangolin.py --content "electronics" --mode amazon --parser amzBestSellers --site amz_us 4. New Releases User says: "What's new in toys on Amazon?" / "亚马逊玩具类有什么新品?" python3 scripts/pangolin.py --content "toys" --mode amazon --parser amzNewReleases --site amz_us 5. Category Products User says: "Browse category 172282 on Amazon" / "浏览亚马逊分类 172282" python3 scripts/pangolin.py --content "172282" --mode amazon --parser amzProductOfCategory --site amz_us 6. Seller Products User says: "Show products from seller A1B2C3D4E5" / "查看卖家 A1B2C3D4E5 的商品" python3 scripts/pangolin.py --content "A1B2C3D4E5" --mode amazon --parser amzProductOfSeller --site amz_us 7. Follow Seller (Variant / Seller Options) User says: "Show other seller options for B0G4QPYK4Z" / "查看 B0G4QPYK4Z 的其他卖家选项" python3 scripts/pangolin.py --asin B0G4QPYK4Z --parser amzFollowSeller --site amz_us Uses a dedicated API endpoint ( /api/v1/scrape/follow-seller ). Returns variant options including price, delivery, fulfillment, and seller info for the given ASIN. 8. Product Reviews User says: "Get critical reviews for B00163U4LK" / "看看 B00163U4LK 的差评" python3 scripts/pangolin.py --content B00163U4LK --mode review --site amz_us --filter-star critical Star filter mapping: User says (EN) User says (CN) --filter-star value all reviews 所有评论 all_stars 5-star / excellent 五星 / 好评 five_star 4-star 四星 four_star 3-star 三星 three_star 2-star 两星 two_star 1-star / terrible 一星 / 最差评 one_star positive / good 好评 / 正面评价 positive critical / negative / bad 差评 / 负面评价 critical Sort mapping: User says (EN) User says (CN) --sort-by value newest / most recent 最新的 recent most helpful / top 最有帮助的 helpful Multiple pages: Add --pages N (each page costs 5 credits). 9. Product by URL (Legacy) User says: "Scrape this Amazon page: https://www.amazon.com/dp/B0DYTF8L2W " python3 scripts/pangolin.py --url "https://www.amazon.com/dp/B0DYTF8L2W" --mode amazon The site code is auto-inferred from the URL domain. 10. Different Region User says: "Check price on Amazon Japan" / "看看日本亚马逊的价格" Region mapping: User says (EN) User says (CN) --site code US / America 美国 amz_us UK / Britain 英国 amz_uk Canada 加拿大 amz_ca Germany 德国 amz_de France 法国 amz_fr Japan 日本 amz_jp Italy 意大利 amz_it Spain 西班牙 amz_es Australia 澳大利亚 amz_au Mexico 墨西哥 amz_mx Saudi Arabia 沙特 amz_sa UAE 阿联酋 amz_ae Brazil 巴西 amz_br Smart Defaults The script automatically: Detects ASINs -- 10-character alphanumeric strings like B0DYTF8L2W auto-select amzProductDetail Detects keywords -- non-ASIN text like "wireless mouse" auto-selects amzKeyword Defaults to amz_us if no --site is provided Switches to review mode if --filter-star is used or --parser amzReviewV2 is set Infers site from URL when using --url with an Amazon domain You generally only need --parser for bestsellers, new releases, category, and seller lookups. Output Format Amazon Mode (product/keyword/ranking/category/seller) { "success" : true , "task_id" : "02b3e90810f0450ca6d41244d6009d0f" , "url" : "https://www.amazon.com/dp/B0DYTF8L2W" , "metadata" : { "executionTime" : 1791 , "parserType" : "amzProductDetail" , "parsedAt" : "2026-01-13T06:42:01.861Z" } , "results" : [ ... ] , "results_count" : 1 } Review Mode Same envelope structure. Each result object contains review fields: date , country , star , author , title , content , purchased , vineVoice , helpful , reviewId . Error Output All errors use a unified envelope written to stderr: { "success" : false , "error" : { "code" : "ERROR_CODE" , "message" : "Human-readable description" , "hint" : "Actionable suggestion" } } See references/output-schema.md for complete field documentation. Response Presentation When presenting results to the user, follow these guidelines per parser type. Always match the user's language (respond in Chinese if the user wrote in Chinese, etc.). Product Detail ( amzProductDetail ) Present as a structured product card: Title and brand Price (include strikethrough/coupon if present) Rating : star rating + number of reviews Stock status and delivery estimate Key features (bullet list, up to 5) Bestseller rank and category Include the product image if available Note Amazon's Choice badge if acBadge is present Keyword Search ( amzKeyword ) Present as a numbered list of products: Title -- price -- star rating (N reviews) -- delivery info ... Highlight sponsored results. Show the total results count. If the user asked about a specific need, recommend the best match. Bestsellers / New Releases ( amzBestSellers / amzNewReleases ) Present as a ranked list : #1: Title -- price -- star rating #2: ... Emphasize rank position. Note trends if multiple queries are compared. Category / Seller Products ( amzProductOfCategory / amzProductOfSeller ) Present as a numbered product list similar to keyword search. Group by price range or rating if the user is comparing. Follow Seller ( amzFollowSeller ) Present variant options clearly: Option 1: price, delivery, ships from, sold by Option 2: ... Help the user compare variants (color, size, seller). Reviews ( amzReviewV2 ) Present as: Summary : average sentiment, common themes, verified purchase ratio Individual reviews (top 3-5): star + title + excerpt + date + verified badge Pattern analysis : recurring praise/complaints Empty Results If results_count is 0: Suggest checking the ASIN/keyword spelling Suggest trying a different Amazon region Suggest broadening the search terms Error Results If success is false: Present the error message in friendly, non-technical language Provide the hint from the error object Offer to retry or suggest an alternative approach All CLI Options | Flag | Description | Default |
Keywords that activate this skill. Click one to copy it.
This skill does not provide trigger words.
The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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