# 亚马逊销量估算技能

> 面向卖家和研究人员的亚马逊销量估算器：根据BSR排名、ASIN码或关键词估算月销量、收入及市场规模。无需API密钥，免费开始。

- Canonical: https://nanoskill.ai/zh/skills/amazon-sales-estimator-skill-c219
- Markdown: https://nanoskill.ai/zh/skills/amazon-sales-estimator-skill-c219.md
- Author: nexscope-ai
- Published: 2026-07-13T04:09:11.102Z
- Updated: 2026-07-17T03:19:51.481Z
- Language: zh-CN
- Source type: github
- Popularity signal: 340

## Sources

- https://github.com/nexscope-ai/Amazon-Skills/blob/main/amazon-sales-estimator

## Install

```shell
npx skills add https://github.com/nexscope-ai/Amazon-Skills/blob/main/amazon-sales-estimator
```

## About

亚马逊销量估算技能帮助卖家和产品研究人员根据BSR排名、ASIN码或关键词数据，即时估算12个市场的月销量、收入和市场规模。它通过直接在工作流程中提供快速、可操作的销售情报，解决了无需昂贵工具即可评估产品机会的问题。

与复杂的SaaS平台不同，该技能无需API密钥，并提供三种估算模式：基于排名的BSR计算器、针对特定产品的ASIN查询，以及用于评估利基市场和基准竞争对手的关键词市场分析。它会自动根据类别乘数和市场差异进行调整，为您提供考虑情境的数据。

产品研究人员在采购前使用它验证需求，卖家监控竞争对手表现，营销人员评估关键词市场规模以优先发布。通过与关键词研究和listing优化等其他技能集成，您可以构建一个端到端的亚马逊分析工作流程，从市场规模评估开始，到收入预测结束。

## Key features

- **基于BSR的销量预测**: 亚马逊销量估算器使用按类别调整的公式，将任何最佳卖家排名转化为可靠的月销量和收入数据。
- **ASIN查询与自动抓取**: 输入ASIN或产品链接，亚马逊销量估算器会自动抓取当前数据，生成包含上下文的完整销量估算。
- **关键词市场规模分析**: 分析任何亚马逊搜索词的总市场销量、顶级竞争对手和价格分布，以评估机会规模。
- **竞争基准测试**: 通过销量细分和类别背景，了解市场集中度并识别顶级卖家与长尾分布。
- **多市场支持**: 支持12个亚马逊市场，包括美国、英国、德国、日本，转换因子针对每个区域量身定制。

## Use cases

- **根据BSR估算产品销量**: 快速将任何最佳卖家排名转化为任何亚马逊类别的月销量和收入估算，非常适合竞争研究。
- **通过ASIN查询销量**: 输入产品ASIN或URL，即可获得包含定价和评论背景的即时销量估算，非常适合产品采购。
- **评估关键词市场规模**: 分析关键词的总市场销量、顶级卖家和价格分布，以评估利基机会规模。
- **竞争对手收入基准测试**: 比较竞争对手的销量估算，以了解市场份额并识别您所在利基市场中的高绩效产品。

## Result preview

探索由该技能生成的亚马逊销量估算报告实例。

![Cover page of an Amazon US market intelligence report titled 'WIRELESS HEADPHONES MARKET PULSE.' The layout is split into a white editorial panel on the left and a bold yellow graphic panel on the right. A black rounded label at the top-left reads 'AMAZON US MARKET INTELLIGENCE.' The main headline uses large uppercase sans-serif typography, with 'WIRELESS HEADPHONES' in black and 'MARKET PULSE' in bright yellow. Below, the subtitle states, 'BSR-based demand modeling, competitor economics and a practical entry thesis.' Near the lower-left, a keyword line reads 'KEYWORD / “BLUETOOTH WIRELESS HEADPHONES”.' A wide yellow market snapshot card displays estimated demand of approximately '85K units/mo' and approximately '$2.7M revenue/mo.' The right side features a large abstract illustration of over-ear headphones with thick black outlines, yellow ear cushions and headband accents, positioned over a pale gray rounded rectangle and a vertical yellow stripe. White text across the illustration reads 'DATA-DRIVEN CATEGORY ESTIMATE.' Minimal modern design with a high-contrast black, white and yellow palette, bold geometric forms and a professional market research presentation style.](https://file.nanoskill.ai/sales-estimator-outcome1.png)

![Slide from an Amazon US wireless headphones market intelligence report, page 02/06, titled 'Product, BSR & Sales Estimates' under the section label '01 / ESTIMATION LOGIC.' Subtitle: 'Marketplace: Amazon US. Category: Electronics / Headphones. All unit and revenue figures are modeled estimates, not Seller Central actuals.' The top section contains four KPI cards: 'KEYWORD SAMPLE' with '48 tracked' and note 'third-party snapshot'; 'AVG. TOP-10 PRICE' with '$26.78' and note 'April 2026 signal'; 'AVG. TOP-10 RATING' with '4.5 stars' and note 'mature review market'; and 'MODELED MARKET' with '$2.7M/mo' and note 'top-20 extrapolation.' The 'Triangulated sales logic' section presents three numbered methods: 1 'BSR BENCHMARK' — 'US BSR band × Electronics 1.2 multiplier.' 2 'VISIBLE VELOCITY' — '“Bought past month” / third-party unit signals.' 3 'RECONCILIATION' — 'Use a range; select midpoint after inconsistency check.' A large lower panel titled 'BSR-TO-SALES REFERENCE • AMAZON US ELECTRONICS' maps sales rank bands to estimated monthly unit sales: '#1-100' equals '3.6K-12K+ units/mo'; '#101-500' equals '1.2K-3.6K units/mo'; '#501-2K' equals '360-1.2K units/mo'; '#2K-10K' equals '120-360 units/mo'; '#10K-50K' equals '36-120 units/mo'; and '#50K+' equals '<36 units/mo.' Footer note: 'Formula baseline from Amazon Sales Estimator skill; marketplace factor 1.0, Electronics multiplier 1.2.' Clean white editorial layout with a yellow top border, bold black serif heading, rounded white KPI cards, yellow, blue, green and orange accents, and page number '02 / 06' in the bottom-right corner.](https://file.nanoskill.ai/sales-estimator-outcome2.png)

![Slide from an Amazon US wireless headphones market intelligence report, page 04/06, titled 'Price Segments & Market Concentration' under the section label '03 / MARKET STRUCTURE.' Subtitle: 'The category is large but winner-heavy. Price alone is not a moat: reviews, brand trust, ANC and battery-life proof drive conversion.' The left side presents a horizontal bar chart titled 'Modeled sales by price band.' The '$15-25 VALUE' segment accounts for 34% and 29K units, shown with a blue bar. The '$26-45 CORE' segment leads with 43% and 37K units, shown with a yellow bar. The '$46-80 STEP-UP' segment represents 16% and 14K units, shown with an orange bar. The '$80+ PREMIUM' segment represents 7% and 6K units, shown with a short black bar. On the right, a panel titled 'SALES CONCENTRATION • MODELED' contains a yellow donut chart showing '40% TOP 3 SHARE,' with supporting figures: Top 3 at 40%, Next 7 at 30%, and Long tail at 30%. A white callout titled 'PRICING GAP' recommends a $44-49 price point supported by credible hybrid ANC, 60H+ battery life, multipoint connection and a hard case, creating a stronger value ladder than competing directly at $19.99. A yellow callout titled 'LONG-TAIL OPENING' highlights opportunities including travel ANC headphones, small-head fit, work-call microphone, low-latency TV mode and colorful giftable variants. Footer note: 'Market concentration is modeled from the representative sample and top-20 extrapolation; it is not Amazon Brand Analytics data.' Clean editorial layout with an off-white background, bright yellow top border, bold black serif heading, color-coded data bars, rounded panels and page number '04 / 06' in the bottom-right corner.](https://file.nanoskill.ai/sales-estimator-outcome3.png)

![Slide from an Amazon US wireless headphones market intelligence report, page 05/06, titled 'Market Opportunities & Entry Risks' under the section label '04 / ENTRY THESIS.' Subtitle: 'A viable entrant needs a specific customer problem and proof architecture; “good sound at a low price” is already owned by review-rich incumbents.' The main section presents four opportunity cards in a two-by-two grid. Top-left card, accented with green, is labeled 'TRAVEL VALUE' and recommends 'Hybrid ANC + case at $44-49,' with the note 'Clear step-up from low-cost models.' Top-right card, accented with blue, is labeled 'FIT DIFFERENTIATION' and recommends 'Small-head / glasses-friendly design,' with the note 'Addresses a recurring comfort gap.' Bottom-left card, accented with yellow, is labeled 'CALL QUALITY' and recommends 'Mic demo + wind-noise proof,' with the note 'Owns work and commute use cases.' Bottom-right card, accented with orange, is labeled 'COLOR SYSTEM' and recommends 'Vibrant coordinated accessories,' with the note 'Improves click-through and gifting.' Below, a 'Risk register' section lists four risks with severity labels: 'HIGH — Review moat,' noting '40K-66K+ reviews on leaders'; 'HIGH — Promo volatility,' noting 'Deal pricing compresses margins'; 'MED — Feature parity,' noting 'ANC / battery claims are commoditized'; and 'MED — Return exposure,' noting 'Fit, comfort and sound are subjective.' Footer note: 'Entry recommendation assumes compliant electronics certification, realistic landed cost and sufficient review-generation runway.' Clean editorial layout with an off-white background, bright yellow top border, bold black serif heading, rounded white cards, green, blue, yellow and orange accents, and page number '05 / 06' in the bottom-right corner.](https://file.nanoskill.ai/sales-estimator-outcome4.png)

## Result walkthrough

### 安装

将亚马逊销量估算技能添加到您的AI代理。

![Screenshot of an AI chat interface showing the installation of the Amazon Sales Estimator skill from Nexscope's Amazon-Skills GitHub repository. At the top, a dark blue user message contains the command 'npx skills add https://github.com/nexscope-ai/Amazon-Skills/blob/main/amazon-sales-estimator.' Below, a large light-gray assistant response explains the installation workflow: loading the relevant monorepo installation skill, recognizing that the supplied GitHub link is a blob page rather than a raw SKILL.md file, checking the raw URL, retrying after a timeout, fetching the file directly, installing it with the proper npx repository format, and verifying the Hermes symlink. The confirmation states that the 'amazon-sales-estimator' skill is installed and enabled at '~/.agents/skills/amazon-sales-estimator/' with a symlink from '~/.hermes/skills/amazon-sales-estimator.' The response lists three operating modes: 'A — BSR Calculator,' which estimates sales from BSR, category, and price; 'B — ASIN Lookup,' which automatically fetches product data and estimates sales; and 'C — Keyword Market Analysis,' which evaluates niche market opportunities. The interface has a white background, rounded message panels, a Hermes-style icon beside the assistant response, a token counter reading '2,658,554 tokens' near the top, and a message input field at the bottom.](https://file.nanoskill.ai/sales-estimator-install.png)

### 描述任务

输入商品ASIN码、BSR排名、类别、价格、市场或目标关键词，以估算日销量、月销量和收入。

![Screenshot of an AI chat interface showing a detailed prompt for creating a data-driven Amazon sales estimation and market intelligence report. The large dark blue user message instructs the AI to act as an award-winning Amazon Market Intelligence Director from a world-class e-commerce strategy agency. The requirements include analyzing the marketplace, product category, Best Sellers Rank or BSR, selling price, ASIN, keyword search results, ratings, review volume, and available competitor data. It asks the AI to estimate daily sales, monthly sales, and monthly revenue using BSR-based benchmarks while clearly explaining all assumptions; compare leading products, price ranges, sales concentration, and long-tail opportunities; identify market opportunities, pricing gaps, entry risks, and positioning recommendations; and clearly distinguish estimates from actual Seller Central data. The prompt also requires the initial estimates to be critiqued and refined before exporting the final result as a visually striking six-page PDF. The requested page structure includes: Cover and Market Snapshot; Product, BSR, and Sales Estimates; Competitor Sales and Revenue Comparison; Price Segments and Market Concentration; Market Opportunities and Entry Risks; and Final Findings and Recommended Action Plan. The final report is expected to feature transparent estimation logic, bold data visualization, scorecards, charts, commercial insights, and actionable recommendations. Below, a light-gray assistant response says it will load the relevant skill, search for actual Amazon product data, and select a fast-moving, competitive but accessible consumer product category for the analysis. Clean white interface with rounded message panels, dark blue prompt block, black sans-serif text, and a professional AI market research workflow presentation.](https://file.nanoskill.ai/sales-estimator-task.png)

### 生成结果

获取有关竞争对手表现、价格分段、市场集中度、进入机会和销售风险的可操作洞察。

![Cover page of an Amazon US market intelligence report titled 'WIRELESS HEADPHONES MARKET PULSE.' A black rounded label at the top reads 'AMAZON US MARKET INTELLIGENCE.' The main headline uses bold uppercase sans-serif typography, with 'WIRELESS HEADPHONES' in black and 'MARKET PULSE' in bright yellow. Below, the subtitle states, 'BSR-based demand modeling, competitor economics and a practical entry thesis.' A keyword line reads 'KEYWORD / “BLUETOOTH WIRELESS HEADPHONES”.' Near the bottom, a wide yellow market snapshot card displays estimated demand of approximately '85K units/mo' and approximately '$2.7M revenue/mo.' The right side contains a cropped abstract headphone-inspired graphic with thick black outlines, yellow bands and rounded geometric forms on a pale gray panel. Minimal white background, high-contrast black-and-yellow palette, bold editorial typography and modern market research presentation style.](https://file.nanoskill.ai/sales-estimator-outcome.png)

## Skill definition

---
name: amazon-sales-estimator
description: "面向卖家和产品研究人员的亚马逊销量估算器。通过BSR（畅销排名）、ASIN或关键词估算月销量和收入。三种模式：(A) BSR计算器 — 输入BSR + 市场 + 价格 + 类别，即时获取销量估算，(B) ASIN查询 — 输入ASIN自动获取数据并估算销量，(C) 关键词市场分析 — 输入关键词分析总体市场规模和竞争。涵盖12个亚马逊市场。无需API密钥。使用场景：(1) 估算某产品每月销量，(2) 评估市场或利基机会规模，(3) 分析竞争对手销售表现，(4) 比较不同价格点的销量，(5) 识别头部卖家与长尾分布。"
metadata: {"nexscope":{"emoji":"📊","category":"amazon"}}
---

# 亚马逊销量估算器 📊

通过BSR估算月销量，分析市场规模，并衡量竞争对手表现。无需API密钥——开箱即用。

## 安装

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -g
```

## 三种模式

| 模式 | 使用场景 | 输入 | 输出 |
|------|-------------|-------|--------|
| **A — BSR计算器** | 通过已知BSR快速估算 | BSR + 市场 + 价格 + 类别 | 月销量，月收入 |
| **B — ASIN查询** | 为特定产品估算销量 | ASIN或产品URL | 自动获取数据 + 销量估算 |
| **C — 关键词市场分析** | 评估利基机会规模 | 关键词（+ 可选市场） | 总市场销量，头部卖家，价格分布 |

## 功能

- **BSR到销量转换**：使用类别特定公式从畅销排名估算月销量
- **收入计算**：月销量 × 价格 = 估算月收入
- **市场规模衡量**：汇总关键词搜索下的产品销量
- **价格区间分析**：不同价格区间的销量分布
- **竞争拆解**：头部卖家与长尾分布
- **多市场**：美国、英国、德国、法国、意大利、西班牙、日本、加拿大、澳大利亚、印度、墨西哥、巴西

## 处理不完整输入

若用户意图不明确或信息缺失，请用所有选项和所需输入进行引导：

**用户说：** `"帮我估算亚马逊销量"` 或 `"我想查看销量"`

**智能体应回复：**

> 我可以通过3种方式帮您估算亚马逊销量。请选择一种并提供所需信息：
>
> **A. BSR计算器** — 从BSR数字快速估算
> - BSR（必填）：例如 1500
> - 类别（必填）：例如 家居与厨房
> - 价格（必填）：例如 $24.99
> - 市场（选填，默认美国）
>
> **B. ASIN查询** — 检查特定产品销量
> - ASIN或URL（必填）：例如 B09V3KXJPB
> - 市场（选填，默认美国）
>
> **C. 市场分析** — 评估关键词/利基机会规模
> - 关键词（必填）：例如 "瑜伽垫"
> - 市场（选填，默认美国）
> - 筛选条件（选填）：价格区间，最低评论数
>
> 示例："模式A：BSR 1500，家居与厨房，$24.99" 或 "模式B：B09V3KXJPB"

---

## 模式A — BSR计算器

### 输入

| 字段 | 必填 | 描述 | 示例 |
|-------|----------|-------------|---------|
| **BSR** | ✅ | 畅销排名数字 | 1500 |
| **市场** | ✅ | 亚马逊站点 | 美国、英国、德国、日本... |
| **标价** | ✅ | 产品价格 | $24.99 |
| **类别** | ✅ | 产品类别 | 家居与厨房 |

### 使用示例

```
估算BSR 1500在美国家居与厨房类别，售价$24.99的销量
```

```
BSR 500，类别电子产品，德国市场，价格€39.99
```

```
排名#10,000的运动户外类产品，售价$15.99，月销量是多少？
```

### 工作流程

1. **接收输入**：BSR，类别，价格，市场
2. **查找基准销量**：使用对应市场的BSR-销量参考表
3. **应用类别乘数**：基于类别调整（电子产品1.2倍，服装0.8倍等）
4. **计算月销量**：基准销量 × 类别乘数
5. **计算收入**：月销量 × 价格
6. **输出结果**：月销量，日销量，月收入

### 输出

```
# 📊 销量估算

**输入：**
- BSR：家居与厨房类 #1,500
- 市场：亚马逊美国
- 价格：$24.99

**结果：**

| 指标 | 估算值 |
|--------|----------|
| **估算月销量** | ~450 件 |
| **估算月收入** | ~$11,246 |
| **估算日销量** | ~15 件 |

*基于所选类别和市场的BSR-销量转换公式估算。*
```

---

## 模式B — ASIN查询

### 输入

| 字段 | 必填 | 描述 | 示例 |
|-------|----------|-------------|---------|
| **ASIN** | ✅ | 亚马逊产品ID或URL | B09V3KXJPB |
| **市场** | 选填 | 默认美国 | 英国、德国、日本... |

### 使用示例

```
估算ASIN B09V3KXJPB的月销量
```

```
这个产品销量有多少？ https://www.amazon.com/dp/B0D72TSM62
```

```
在亚马逊德国获取B0CPY1GFVZ的销量估算
```

### 工作流程

1. **获取产品数据** 使用 `web_fetch` 访问亚马逊产品页面
2. **提取**：标题，价格，BSR，类别，评分，评论数
3. **应用BSR-销量公式** 针对类别和市场
4. **计算收入**：月销量 × 价格

### 输出

```
# 📊 销量估算：B09V3KXJPB

## 产品信息
- **标题：** [产品标题]
- **价格：** $24.99
- **BSR：** 家居与厨房类 #1,500
- **评分：** 4.5★ (1,234 评论)

## 销量估算

| 指标 | 估算值 |
|--------|----------|
| **估算月销量** | ~450 件 |
| **估算月收入** | ~$11,246 |
| **估算日销量** | ~15 件 |

## 竞争背景
- 在家居与厨房类中排名**前0.5%**
- 在$20-30价格段高于平均水平
```

---

## 模式C — 关键词市场分析

### 输入

| 字段 | 必填 | 描述 | 示例 |
|-------|----------|-------------|---------|
| **关键词** | ✅ | 搜索词 | 瑜伽垫 |
| **市场** | 选填 | 亚马逊站点（默认：美国） | 英国、德国、日本... |
| **筛选条件** | 选填 | 价格区间，最低评论数 | $15-$40，100+评论 |

### 使用示例

```
分析美亚“瑜伽垫”的市场规模
```

```
“便携榨汁杯”关键词的月总销量是多少？
```

```
评估“狗衬衫”在美亚的市场规模。展示头部卖家和价格分布。
```

### 工作流程

1. **搜索产品** 使用 `web_search` 针对 `site:amazon.com "{关键词}"`
2. **抓取前10-20个产品页面** 获取BSR数据
3. **采用模式A公式估算每个产品销量**
4. **汇总** 总市场规模
5. **分析** 价格分布和竞争

### 输出

```
# 📊 市场分析：“瑜伽垫”

**市场：** 亚马逊美国 | **分析产品数：** 25

## 市场规模

| 指标 | 数值 |
|--------|-------|
| **估算月总销量** | ~85,000 件 |
| **估算月总收入** | ~$2.1M |
| **平均价格** | $24.50 |

## 前5名卖家

| # | ASIN | 价格 | BSR | 估算月销量 |
|---|------|-------|-----|---------------|
| 1 | B0XX... | $22.99 | #45 | ~8,500 |
| 2 | B0YY... | $29.99 | #78 | ~6,200 |
| 3 | B0ZZ... | $18.99 | #120 | ~4,800 |
| ... | ... | ... | ... | ... |

## 市场集中度

- **前3名：** 占总销量的23%
- **前10名：** 占总销量的52%
- **长尾：** 占总销量的48%

→ **分散市场** — 新进入者有机会

## 价格分布

| 价格带 | 销量占比 |
|------------|------------|
| $0 - $20 | 25% |
| $20 - $35 | 55% |
| $35+ | 20% |

**甜蜜点：** $20-$35
```

---

## BSR-销量参考

### 亚马逊美国 — 基准（家居与厨房）

| BSR区间 | 估算月销量 |
|-----------|-------------------|
| 1-100 | 3,000 - 10,000+ |
| 100-500 | 1,000 - 3,000 |
| 500-2,000 | 300 - 1,000 |
| 2,000-10,000 | 100 - 300 |
| 10,000-50,000 | 30 - 100 |
| 50,000-100,000 | 10 - 30 |
| 100,000+ | < 10 |

### 类别乘数

| 类别 | 乘数 |
|----------|------------|
| 电子产品 | 1.2倍 |
| 家居与厨房 | 1.0倍 |
| 玩具 | 1.1倍 |
| 运动户外 | 0.9倍 |
| 服装 | 0.8倍 |
| 图书 | 0.7倍 |

### 市场调整

| 市场 | 系数 |
|-------------|--------|
| 美国 | 1.0倍 |
| 日本 | 0.6倍 |
| 德国 | 0.5倍 |
| 英国 | 0.4倍 |
| 加拿大 | 0.3倍 |
| 其他 | 0.2倍 |

---

## 与其他技能集成

本技能可与[Nexscope Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills)和[eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills)仓库中的其他技能链接使用。

### 与amazon-keyword-research结合

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -g
```

```
步骤1："研究瑜伽垫的关键词"
   → amazon-keyword-research 返回带有搜索量的关键词列表

步骤2："现在分析顶部关键词的市场规模"
   → amazon-sales-estimator 模式C评估机会规模
```

### 与amazon-listing-optimization结合

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization -g
```

```
步骤1："估算竞争对手的销量：B0ABC，B0XYZ"
   → amazon-sales-estimator 模式B提供基准数据

步骤2："创建一个能击败这些竞争对手的Listing"
   → amazon-listing-optimization 生成优化文案
```

### 与amazon-ppc-campaign结合

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-ppc-campaign -g
```

```
步骤1："估算我产品的月销量"
   → amazon-sales-estimator 提供收入基准

步骤2："构建目标ACoS为30%的PPC广告活动"
   → amazon-ppc-campaign 基于您的收入数据计算出价
```

### 更多技能

浏览所有可用技能：
- **Amazon Skills：** https://github.com/nexscope-ai/Amazon-Skills
- **eCommerce Skills：** https://github.com/nexscope-ai/eCommerce-Skills

---

## 局限性

本技能使用来自亚马逊产品页面的公开数据。无法访问历史BSR数据、实际卖家销售数据或PPC转化指标。如需深入分析和历史趋势，请查看 **[Nexscope](https://www.nexscope.ai/?co-from=skill)** — 您更智能的电商决策AI助手。

---

**由[Nexscope](https://www.nexscope.ai/?co-from=skill)构建** — 用AI研究、验证并把握电商机会。

## FAQ

### 什么是亚马逊销量估算技能？

这项技能通过使用BSR、ASIN或关键词输入，在12个市场中估算亚马逊上的月销量和收入，无需API密钥。

### 销量估算有多准确？

估算基于公开的BSR到销量转换公式和类别乘数。它们提供可靠的近似值，但不是确切的卖家数据，因为实际销售数据并不公开。

### 使用此技能需要API密钥吗？

不需要API密钥。该技能开箱即用，通过获取公开的亚马逊数据来工作。

### 支持哪些亚马逊市场？

美国、英国、德国、法国、意大利、西班牙、日本、加拿大、澳大利亚、印度、墨西哥、巴西。

### 如何使用BSR编号估算销量？

选择模式A，提供BSR、市场、价格和类别。该技能将输出估算的月销量和收入。

### 我可以通过关键词分析市场吗？

是的，模式C允许您输入关键词，以获取总市场规模、顶级卖家和价格分布。