# amazon-scraper-v2

> amazon-scraper-v2 — apiguru-app-amazon-scraper-v2. Use this tool when you need to extract real-time Amazon product data, including details, offers, reviews, and seller information, across multiple marketplaces. It solves problems related to e-commerce data collection, market research, and competitor analysis by providing batch ASIN processing, search, and best seller data. It accepts ASIN inputs and returns detailed product information via HTTP or code integration, ideal for use cases requiring up-to-date Amazon product insights.

Canonical page: https://skillsregistry.net/skills/apiguru-app-amazon-scraper-v2  
JSON: https://api.skillsregistry.net/v1/skills/apiguru-app-amazon-scraper-v2

## Description

Agent-ready Amazon Scraper API: real-time product details (batch ASIN), offers & stock, reviews, search, best sellers, deals and seller data across 20 marketplaces. One pasted line for Claude Code / Codex / Cursor, an MCP server, or plain HTTP with 3 free calls a day and no key. Python examples inside.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/apiguru-app/amazon-scraper-v2)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "apiguru-app-amazon-scraper-v2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apiguru-app-amazon-scraper-v2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apiguru-app-amazon-scraper-v2/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt