
E-commerce Seller Info
FreeExtract detailed seller profiles from e-commerce platforms.
Free · Opens the source repo
What E-commerce Seller Info does
The E-commerce Seller Info skill enables users to extract comprehensive seller or merchant profile data directly from various e-commerce platforms, including Amazon and eBay. By leveraging JSON-LD structured data and platform-specific DOM patterns, this skill is designed for developers and data analysts who need to gather seller information efficiently. It retrieves key details such as seller name, rating, review count, positive feedback percentage, joined date, and return policy without requiring any login credentials for public profiles.
To utilize the skill, users must first navigate to the desired seller profile page. The skill then executes a Python script that extracts the relevant data, providing a structured JSON output. This process is straightforward and can be executed in a browser environment where the seller profile is publicly accessible. The skill is particularly useful for market research, competitor analysis, or any scenario where understanding seller performance and reputation is critical.
The skill is designed to work seamlessly with both Amazon and eBay seller pages, offering predefined URL patterns for easy navigation. Users can also batch process multiple seller profiles, although it is recommended to test the extraction with a few sellers first to ensure the process runs smoothly. The output is reliable as long as the seller has filled out their profile, but users should be aware of potential limitations, such as changes in page design or anti-scraping measures that may affect data retrieval.
Overall, the E-commerce Seller Info skill is an effective tool for anyone needing to analyze seller data across major e-commerce platforms, providing a simple and efficient way to gather insights into seller performance and customer feedback.
When to use it
Use this skill when you need to extract detailed seller information from Amazon or eBay for analysis or research purposes.
When not to use it
This skill may not be suitable for private seller profiles or platforms that require authentication to access seller data.
What you can build with it
Market Research Analysis
Gather seller data from multiple profiles to analyze market trends and seller performance.
Competitor Seller Insights
Extract and compare seller ratings and feedback to assess competitor strengths and weaknesses.
E-commerce Data Aggregation
Collect seller information for a comprehensive database of seller profiles across platforms.
How to install E-commerce Seller Info
View source1. Install with the skills CLI
npx skills add browser-act/skills/ecommerce-seller-info --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-actE-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 viaeval "$(python scripts/xxx.py {params})". Use the bash tool for execution.
DOM: Extract seller profile from current seller page
Navigate to the seller profile URL first, then extract:
eval "$(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:
- Navigate to product page →
wait stable eval "document.querySelector('#sellerProfileTriggerId, #merchant-info a')?.href"to get the seller URLnavigate {seller_url}→wait stableeval "$(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:
- Navigate to eBay item page →
wait stable eval "document.querySelector('.x-sellercard-atf__data a[href*=\"/usr/\"]')?.href"to get seller URL- Navigate and extract
Success Criteria
result.name != null
Known Limitations
- Amazon seller pages may require navigating from
https://www.amazon.comfirst on fresh sessions to avoid bot detection - eBay seller pages may require navigating from
https://www.ebay.comfirst - 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}
Frequently asked questions about E-commerce Seller Info
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