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Ecommerce Seller Info

作者 BrowserAct · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
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当前安装
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在 OpenClaw 中安装
/install ecommerce-seller-info
功能描述
Extract seller or merchant profile data from marketplace platform seller pages. Returns seller name, rating, review count, positive feedback percentage, join...
使用说明 (SKILL.md)

E-commerce — Seller Info

Seller/merchant profile URL → seller name, rating, review count, feedback, joined date, return policy

Language

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

Objective

Extract seller profile information from marketplace platform seller or storefront pages using JSON-LD structured data and platform-specific DOM patterns.

Prerequisites

  • Target browser is open and connected
  • No login required for public seller profile pages

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. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". Use the bash tool for execution.

DOM: Extract seller profile from current seller page

Navigate to the seller profile URL first, then extract:

eval "$(python scripts/extract-seller.py)"

Output example:

{
  "url": "https://www.amazon.com/shops/seller/A1234567890",
  "name": "TechGadgets Store",
  "description": "Premium electronics accessories since 2015",
  "rating": 4.8,
  "review_count": 12450,
  "positive_feedback_pct": "98% positive feedback",
  "joined": "Member since: January 2015",
  "return_policy": "30-day returns accepted",
  "image": null,
  "_platform": "amazon"
}

Composite: Amazon seller URL patterns

Amazon seller pages follow these URL patterns:

Seller page type URL
Seller storefront https://www.amazon.com/shops/{seller_id}
Seller feedback (from product page) Click "Sold by {seller_name}" link on a product page
Third-party seller ratings https://www.amazon.com/gp/seller/{seller_id}/ref=dp_byline_sr

To find a seller from a product page:

  1. Navigate to product page → wait stable
  2. eval "document.querySelector('#sellerProfileTriggerId, #merchant-info a')?.href" to get the seller URL
  3. navigate {seller_url}wait stable
  4. eval "$(python scripts/extract-seller.py)"

Composite: eBay seller URL patterns

Seller page type URL
eBay seller storefront https://www.ebay.com/str/{seller_username}
eBay seller feedback https://www.ebay.com/usr/{seller_username}

To find seller from an eBay listing:

  1. Navigate to eBay item page → wait stable
  2. eval "document.querySelector('.x-sellercard-atf__data a[href*=\"/usr/\"]')?.href" to get seller URL
  3. Navigate and extract

Success Criteria

result.name != null

Known Limitations

  • Amazon seller pages may require navigating from https://www.amazon.com first on fresh sessions to avoid bot detection
  • eBay seller pages may require navigating from https://www.ebay.com first
  • Seller description and return policy availability depends on whether the seller has filled in their profile
  • Rating scale differs by platform: Amazon uses 1–5 stars, eBay uses percentage of positive feedback; both are preserved in their native format

Execution Efficiency

  • Batch orchestration: Loop through seller URLs serially; add 1–2 second intervals between navigations
  • Test before batch execution: Test with 1–2 sellers before running the full batch
  • Error resumption: Save results item by item; on failure, resume from the breakpoint

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/ecommerce-scraper-ecommerce-seller-info.memory.md

Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions; 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}

如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ecommerce-seller-info
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ecommerce-seller-info 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release — enables extraction of seller/merchant profile data from popular e-commerce platform pages. - Extracts seller name, rating, review count, positive feedback, join date, and return policy from Amazon and eBay seller pages, plus similar profiles on other e-commerce sites. - Supports navigating from product pages to seller profiles using platform-specific DOM selectors. - Handles both Amazon (by stars) and eBay (by percentage) native rating schemes. - Performs extraction using Python scripts via shell (`eval "$(python ...)"`). - Documents execution efficiency best practices and known limitations for reliable use.
元数据
Slug ecommerce-seller-info
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ecommerce Seller Info 是什么?

Extract seller or merchant profile data from marketplace platform seller pages. Returns seller name, rating, review count, positive feedback percentage, join... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 8 次。

如何安装 Ecommerce Seller Info?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ecommerce-seller-info」即可一键安装,无需额外配置。

Ecommerce Seller Info 是免费的吗?

是的,Ecommerce Seller Info 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ecommerce Seller Info 支持哪些平台?

Ecommerce Seller Info 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ecommerce Seller Info?

由 BrowserAct(@browseractskills)开发并维护,当前版本 v1.0.0。

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