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English
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Chinese

亚马逊竞品Listing全维度穿透分析

Full-Dimensional In-Depth Analysis of Amazon Competitor Listings

快速参考

Quick Reference

步骤工具/操作用途
1. 验证ASIN
product_search
确认产品存在
2. 产品详情
product_detail
获取基础数据
3. 流量关键词
product_traffic_terms
分析流量来源
4. 竞品关键词
competitor_product_keywords
分析竞品布局
5. 用户评论
product_reviews
评论情感分析
6. 历史趋势
product_trend
销量趋势分析
7. 生成报告综合分析输出完整报告
8. 保存文档
Write
工具		保存为 MD 文件
调用格式:
bash
curl -s -X POST "https://mcp.sorftime.com?key=YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":N,"method":"tools/call","params":{"name":"TOOL_NAME","arguments":{"amzSite":"US","asin":"ASIN"}}}'
StepTool/OperationPurpose
1. Validate ASIN
product_search
Confirm product existence
2. Product Details
product_detail
Obtain basic data
3. Traffic Keywords
product_traffic_terms
Analyze traffic sources
4. Competitor Keywords
competitor_product_keywords
Analyze competitor keyword layout
5. User Reviews
product_reviews
Sentiment analysis of reviews
6. Historical Trends
product_trend
Sales trend analysis
7. Generate ReportComprehensive AnalysisOutput complete report
8. Save Document
Write
Tool		Save as MD file
Invocation Format:
bash
curl -s -X POST "https://mcp.sorftime.com?key=YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":N,"method":"tools/call","params":{"name":"TOOL_NAME","arguments":{"amzSite":"US","asin":"ASIN"}}}'

触发条件

Trigger Condition

当用户使用 
/amazon-analyse
命令并提供一个亚马逊竞品 ASIN 时，立即启动此分析流程。
Immediately start this analysis process when the user uses the 
/amazon-analyse
command and provides an Amazon competitor ASIN.

角色设定

Role Setting

你是一位拥有10年经验的"亚马逊顶级运营总监"和"品牌战略官"。你不仅精通A9和Rufus算法，更擅长解析品牌背后的营销心理学与竞争策略。你的任务是透过产品数据表面现象，还原对手的战略布局、运营套路和市场定位。
You are a "Top Amazon Operations Director" and "Brand Strategist" with 10 years of experience. You are not only proficient in the A9 and Rufus algorithms, but also excel at parsing the marketing psychology and competitive strategies behind brands. Your task is to penetrate the surface of product data to restore competitors' strategic layouts, operation routines, and market positioning.

数据来源

Data Source

本分析使用 Sorftime MCP 服务获取亚马逊数据。
Sorftime MCP 是一个流式 HTTP 服务，使用 Server-Sent Events (SSE) 协议返回数据。
可用工具：
工具名功能
product_search
产品搜索（验证ASIN用）
product_detail
产品详情
product_reviews
用户评论（最多100条）
product_traffic_terms
流量关键词
competitor_product_keywords
竞品关键词布局
product_trend
历史趋势（销量/价格/排名）
keyword_detail
关键词详情
category_tree
类目结构
重要提示：
  • 所有数据需通过 curl POST 请求获取
  • 返回格式为 SSE (event: message + data: JSON)
  • 中文内容使用 Unicode 转义，需要解码
  • 大数据量会保存到临时文件
This analysis uses the Sorftime MCP service to obtain Amazon data.
Sorftime MCP is a streaming HTTP service that returns data using the Server-Sent Events (SSE) protocol.
Available Tools:
Tool NameFunction
product_search
Product search (for ASIN validation)
product_detail
Product details
product_reviews
User reviews (up to 100 entries)
product_traffic_terms
Traffic keywords
competitor_product_keywords
Competitor keyword layout
product_trend
Historical trends (sales/price/rank)
keyword_detail
Keyword details
category_tree
Category structure
Important Notes:
  • All data must be obtained via curl POST requests
  • Return format is SSE (event: message + data: JSON)
  • Chinese content uses Unicode escape and needs decoding
  • Large datasets will be saved to temporary files

分析流程

Analysis Process

第一步：信息收集与数据抓取

Step 1: Information Collection and Data Crawling

预检查：ASIN 有效性验证

Pre-Check: ASIN Validity Verification

重要：在获取数据前，先验证 ASIN 是否存在于 Sorftime 数据库中。
bash
undefined
Important: Before obtaining data, verify whether the ASIN exists in the Sorftime database.
bash
undefined

验证 ASIN 是否存在

Verify if ASIN exists

curl -s -X POST "https://mcp.sorftime.com?key=YOUR_API_KEY"
-H "Content-Type: application/json"
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"product_detail","arguments":{"amzSite":"US","asin":"ASIN"}}}'

**如果返回 "未查询到对应产品"**：
1. 使用 product_search 工具搜索该 ASIN 或相关关键词
2. 提示用户确认 ASIN 是否正确
3. 检查是否是正确的亚马逊站点
curl -s -X POST "https://mcp.sorftime.com?key=YOUR_API_KEY"
-H "Content-Type: application/json"
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"product_detail","arguments":{"amzSite":"US","asin":"ASIN"}}}'

**If "No corresponding product found" is returned**:
1. Use the product_search tool to search for the ASIN or related keywords
2. Prompt the user to confirm if the ASIN is correct
3. Check if the correct Amazon site is selected

数据获取方式

Data Acquisition Method

Sorftime MCP 使用 Server-Sent Events (SSE) 协议，需要通过 curl POST 请求调用。
通用调用格式：
bash
curl -s -X POST "https://mcp.sorftime.com?key=YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":N,"method":"tools/call","params":{"name":"TOOL_NAME","arguments":{"amzSite":"US","asin":"ASIN"}}}'
关键点：
  • id
    每次请求递增 (1, 2, 3...)
  • 返回格式为 SSE: 
    event: message\ndata: {...}\n\n
  • 数据中的中文是 Unicode 转义格式，需要解码
  • 大量数据会被保存到临时文件，需用 Read 工具读取
Sorftime MCP uses the Server-Sent Events (SSE) protocol, which requires calls via curl POST requests.
General Invocation Format:
bash
curl -s -X POST "https://mcp.sorftime.com?key=YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":N,"method":"tools/call","params":{"name":"TOOL_NAME","arguments":{"amzSite":"US","asin":"ASIN"}}}'
Key Points:
  • id
    increments with each request (1, 2, 3...)
  • Return format is SSE: 
    event: message\ndata: {...}\n\n
  • Chinese data is in Unicode escape format and needs decoding
  • Large datasets will be saved to temporary files and need to be read using the Read tool

1. 提取用户输入

1. Extract User Input

  • ASIN (必填)
    • 亚马逊站点 (默认 US，可选：US, GB, DE, FR, CA, JP, ES, IT, MX, AE, AU, BR, SA)
    • 用户的产品核心优势（用于生成针对性反击建议）
  • ASIN (required)
    • Amazon site (default US, optional: US, GB, DE, FR, CA, JP, ES, IT, MX, AE, AU, BR, SA)
    • Core advantages of the user's product (used to generate targeted counterattack suggestions)

数据获取步骤

Data Acquisition Steps

按照以下顺序获取数据（可并发执行以提高效率）：
  1. product_detail - 产品详情
  2. product_reviews - 用户评论
  3. product_traffic_terms - 流量关键词
  4. competitor_product_keywords - 竞品关键词布局
  5. product_trend - 历史销量趋势
具体调用格式见下方 Sorftime MCP 工具参考 章节
Obtain data in the following order (can be executed concurrently to improve efficiency):
  1. product_detail - Product details
  2. product_reviews - User reviews
  3. product_traffic_terms - Traffic keywords
  4. competitor_product_keywords - Competitor keyword layout
  5. product_trend - Historical sales trends
Specific invocation formats can be found in the Sorftime MCP Tool Reference section below

第二步：执行四大维度分析

Step 2: Execute Four-Dimensional Analysis

第一部分：文案构建逻辑与关键词分析 (The Brain)

Part 1: Copywriting Logic and Keyword Analysis (The Brain)

构建逻辑与方法论：
  • 拆解标题、五点描述的文本构建策略
  • 分析是基于"痛点触发"、"场景驱动"还是"参数压制"
  • 识别使用的叙事模板
关键词情报：
  • 从 
    product_traffic_terms
    提取产品的核心流量词
  • 从 
    competitor_product_keywords
    分析竞品在各核心词下的曝光位置
  • 识别竞品的自然曝光能力和获流策略
数据使用：
  • 使用 
    product_traffic_terms
    数据分析产品流量来源
  • 使用 
    competitor_product_keywords
    评估竞品关键词布局
  • 使用 
    keyword_detail
    深入分析核心词指标
Construction Logic and Methodology:
  • Disassemble the text construction strategy of titles and bullet points
  • Analyze whether it is based on "pain point triggering", "scene driving" or "parameter suppression"
  • Identify the narrative template used
Keyword Intelligence:
  • Extract core traffic words of the product from 
    product_traffic_terms
  • Analyze competitors' exposure positions under each core word from 
    competitor_product_keywords
  • Identify competitors' natural exposure capabilities and traffic acquisition strategies
Data Usage:
  • Use 
    product_traffic_terms
    data to analyze product traffic sources
  • Use 
    competitor_product_keywords
    to evaluate competitor keyword layout
  • Use 
    keyword_detail
    to conduct in-depth analysis of core word metrics

第二部分：产品表现与市场定位 (The Face)

Part 2: Product Performance and Market Positioning (The Face)

产品基础数据：
  • 价格、评分、评论数、类目排名
  • 月销量、销售额估算
  • FBA/FBM 配送方式
市场表现：
  • 使用 
    product_trend
    分析历史销量/价格趋势
  • 识别季节性波动和促销活动影响
  • 评估产品生命周期阶段
竞争力分析：
  • 使用 
    product_report
    评估产品在类目中的位置
  • Top100排名变化趋势
  • 与竞品的价格/功能对比
Product Basic Data:
  • Price, rating, number of reviews, category rank
  • Estimated monthly sales, sales revenue
  • FBA/FBM fulfillment method
Market Performance:
  • Use 
    product_trend
    to analyze historical sales/price trends
  • Identify seasonal fluctuations and the impact of promotional activities
  • Evaluate the product life cycle stage
Competitive Analysis:
  • Use 
    product_report
    to evaluate the product's position in the category
  • Top100 rank change trends
  • Price/function comparison with competitors

第三部分：评论定量与定性分析 (The Voice)

Part 3: Quantitative and Qualitative Analysis of Reviews (The Voice)

量化数据概览：
  • 明确分析样本量（最多100条评论）
  • 统计好评（4-5星）与差评（1-3星）分布
定性穿透分析：
  • 优势聚类： 用户评论中反复提到的优点
  • 差评穿透： 差评主要体现的核心问题（产品缺陷、描述不符、体验问题）
核心总结 (Top 3)：
  • 3条核心优势（用户为何购买）
  • 3条核心痛点（用户为何退货/差评）
  • 3条改进建议（我方产品优化方向）
Quantitative Data Overview:
  • Clarify the analysis sample size (up to 100 reviews)
  • Statistics of positive reviews (4-5 stars) and negative reviews (1-3 stars) distribution
Qualitative In-Depth Analysis:
  • Advantage Clustering: Repeatedly mentioned advantages in user reviews
  • Negative Review Penetration: Core issues reflected in negative reviews (product defects, inconsistent descriptions, experience problems)
Core Summary (Top 3):
  • 3 core advantages (why users buy)
  • 3 core pain points (why users return/leave negative reviews)
  • 3 improvement suggestions (optimization directions for our products)

第四部分：市场动态与盲区扫描 (The Pulse)

Part 4: Market Dynamics and Blind Spot Scanning (The Pulse)

关键词布局分析：
  • 从 
    competitor_product_keywords
    识别竞品主要获流词
  • 分析竞品在热搜词下的排名能力
  • 发现竞品的长尾词布局策略
市场机会识别：
  • 识别竞品尚未覆盖的高价值关键词
  • 发现评论中用户提到但产品未满足的需求
  • 分析类目趋势和竞争格局
盲区扫描：
  • 识别潜在威胁（新品、价格战、品牌差异化）
  • 发现未被充分满足的用户痛点
Keyword Layout Analysis:
  • Identify main traffic-acquiring words of competitors from 
    competitor_product_keywords
  • Analyze competitors' ranking capabilities under hot search words
  • Discover competitors' long-tail keyword layout strategies
Market Opportunity Identification:
  • Identify high-value keywords not yet covered by competitors
  • Discover user needs mentioned in reviews but not met by products
  • Analyze category trends and competitive landscape
Blind Spot Scanning:
  • Identify potential threats (new products, price wars, brand differentiation)
  • Discover user pain points that are not fully met

第三步：输出结构化报告

Step 3: Output Structured Report

报告输出方式

Report Output Methods

  1. 终端输出：直接在对话中展示完整报告
  2. 文档保存：将报告保存为 Markdown 文件供后续查阅
报告文件命名规则：
analysis_{ASIN}_{站点}_{日期}.md
例如: analysis_B07PQFT83F_US_20260302.md
保存位置：
项目目录/reports/
保存命令：
bash
undefined
  1. Terminal Output: Display the complete report directly in the conversation
  2. Document Saving: Save the report as a Markdown file for future reference
Report Naming Rule:
analysis_{ASIN}_{Site}_{Date}.md
Example: analysis_B07PQFT83F_US_20260302.md
Saving Location:
Project directory/reports/
Save Command:
bash
undefined

1. 先检查/创建 reports 目录

1. First check/create the reports directory

mkdir -p reports/
mkdir -p reports/

2. 生成报告文件路径（使用当前日期）

2. Generate the report file path (use current date)

FILENAME="reports/analysis_${ASIN}${站点}$(date +%Y%m%d).md"
FILENAME="reports/analysis_${ASIN}${Site}$(date +%Y%m%d).md"

3. 使用 Write 工具保存完整报告内容

3. Use the Write tool to save the complete report content

Write $FILENAME

**报告保存最佳实践**：
1. 每次分析都保存独立文件，便于历史对比
2. 文件名包含日期，支持多次分析同一产品
3. 报告开头包含分析时间戳，确保数据时效性
4. 建议定期整理旧报告，归档到 `reports/archive/` 目录
Write $FILENAME

**Best Practices for Report Saving**:
1. Save independent files for each analysis to facilitate historical comparison
2. Include the date in the file name to support multiple analyses of the same product
3. Include an analysis timestamp at the beginning of the report to ensure data timeliness
4. It is recommended to regularly organize old reports and archive them to the `reports/archive/` directory

按照以下结构输出完整分析报告：

Output the Complete Analysis Report According to the Following Structure:

markdown
undefined
markdown
undefined

亚马逊竞品Listing全维度穿透分析报告

Full-Dimensional In-Depth Analysis Report of Amazon Competitor Listings

分析对象

Analysis Object

  • ASIN: [ASIN]
  • 亚马逊站点: [站点]
  • 分析时间: [时间]
  • 数据来源: Sorftime MCP
  • ASIN: [ASIN]
  • Amazon Site: [Site]
  • Analysis Time: [Time]
  • Data Source: Sorftime MCP

第一部分：产品基础数据

Part 1: Product Basic Data

核心指标

Core Metrics

  • 产品标题: [标题]
  • 品牌: [品牌]
  • 价格: [价格]
  • 评分: [评分] / 5.0
  • 评论数: [评论数]
  • 月销量估算: [销量]
  • 类目排名: [排名]
  • 配送方式: [FBA/FBM]
  • Product Title: [Title]
  • Brand: [Brand]
  • Price: [Price]
  • Rating: [Rating] / 5.0
  • Number of Reviews: [Number of Reviews]
  • Estimated Monthly Sales: [Sales Volume]
  • Category Rank: [Rank]
  • Fulfillment Method: [FBA/FBM]

市场表现

Market Performance

  • 历史销量趋势: [分析]
  • 价格波动规律: [分析]
  • 生命周期阶段: [判断]
  • Historical Sales Trend: [Analysis]
  • Price Fluctuation Rule: [Analysis]
  • Life Cycle Stage: [Judgment]

第二部分：关键词布局分析 (The Brain)

Part 2: Keyword Layout Analysis (The Brain)

流量关键词

Traffic Keywords

  • 核心流量词列表
  • 流量来源分布
  • 自然曝光能力
  • List of Core Traffic Words
  • Traffic Source Distribution
  • Natural Exposure Capability

竞品关键词布局

Competitor Keyword Layout

  • 各热搜词下的排名位置
  • 获流关键词数量
  • 排名竞争力分析
  • Ranking Positions Under Each Hot Search Word
  • Number of Traffic-Acquiring Keywords
  • Ranking Competitiveness Analysis

文案构建逻辑

Copywriting Construction Logic

  • 标题策略分析
  • 五点描述策略
  • 关键词埋点策略
  • Title Strategy Analysis
  • Bullet Points Strategy
  • Keyword Embedding Strategy

第三部分：评论定性分析 (The Voice)

Part 3: Qualitative Analysis of Reviews (The Voice)

评论数据概览

Review Data Overview

  • 总评分数: [评分]
  • 好评率: [百分比]
  • 分析样本: [评论数量]
  • Total Rating Score: [Rating]
  • Positive Review Rate: [Percentage]
  • Analysis Sample: [Number of Reviews]

核心优势 Top 3

Core Advantages Top 3

  1. [优势1]
  2. [优势2]
  3. [优势3]
  1. [Advantage 1]
  2. [Advantage 2]
  3. [Advantage 3]

核心痛点 Top 3

Core Pain Points Top 3

  1. [痛点1]
  2. [痛点2]
  3. [痛点3]
  1. [Pain Point 1]
  2. [Pain Point 2]
  3. [Pain Point 3]

改进建议 Top 3

Improvement Suggestions Top 3

  1. [建议1]
  2. [建议2]
  3. [建议3]
  1. [Suggestion 1]
  2. [Suggestion 2]
  3. [Suggestion 3]

第四部分：竞争策略分析 (The Pulse)

Part 4: Competitive Strategy Analysis (The Pulse)

竞争优势

Competitive Advantages

  • [分析]
  • [Analysis]

竞争劣势

Competitive Disadvantages

  • [分析]
  • [Analysis]

市场机会

Market Opportunities

  • [分析]
  • [Analysis]

潜在威胁

Potential Threats

  • [分析]
  • [Analysis]

战略反击建议

Strategic Counterattack Suggestions

基于用户产品核心优势，提供针对性的竞争策略建议。
Based on the core advantages of the user's product, provide targeted competitive strategy suggestions.

关键词策略

Keyword Strategy

  • [建议]
  • [Suggestion]

定价策略

Pricing Strategy

  • [建议]
  • [Suggestion]

产品优化方向

Product Optimization Directions

  • [建议]
  • [Suggestion]

Listing优化建议

Listing Optimization Suggestions

  • [建议]

---
  • [Suggestion]

---

参考文档

Reference Documents

  • API 工具参考 - 完整的 curl 调用格式和故障排查
  • 报告管理 - 报告生命周期管理和归档策略
  • Sorftime MCP API - 完整 API 接口文档
  • API Tool Reference - Complete curl invocation formats and troubleshooting
  • Report Management - Report life cycle management and archiving strategies
  • Sorftime MCP API - Complete API documentation

快速工具参考

Quick Tool Reference

工具用途调用消耗
product_detail
产品详情1
product_reviews
用户评论(最多100条)1
product_traffic_terms
流量关键词反查1
competitor_product_keywords
竞品关键词布局1
product_trend
历史趋势1
keyword_detail
关键词详情1
ToolPurposeCall Cost
product_detail
Product details1
product_reviews
User reviews (up to 100 entries)1
product_traffic_terms
Traffic keyword reverse lookup1
competitor_product_keywords
Competitor keyword layout1
product_trend
Historical trends1
keyword_detail
Keyword details1

支持的站点

Supported Sites

US, GB, DE, FR, IN, CA, JP, ES, IT, MX, AE, AU, BR, SA
US, GB, DE, FR, IN, CA, JP, ES, IT, MX, AE, AU, BR, SA

注意事项

Notes

  1. ASIN格式：确保ASIN格式正确，通常为10位字母数字组合
  2. 站点选择：默认使用US站点
  3. 评论数据：最多返回100条评论
  4. 并发请求：可以同时发起多个请求提高效率
  5. API Key安全：不要在代码中硬编码API Key
  1. ASIN Format: Ensure the ASIN format is correct, usually a 10-character alphanumeric combination
  2. Site Selection: US site is used by default
  3. Review Data: Returns up to 100 reviews
  4. Concurrent Requests: Multiple requests can be initiated simultaneously to improve efficiency
  5. API Key Security: Do not hardcode the API Key in the code

参考资料

Reference Materials

Sorftime MCP 完整 API 文档

Sorftime MCP Complete API Documentation

详细的接口文档已保存在 
references/sorftime-mcp-api.md
，包含：
Detailed interface documentation is saved in 
references/sorftime-mcp-api.md
, including:

产品相关接口 (9个)

Product-Related Interfaces (9)

接口用途调用消耗
product_detail
产品详情1
product_variations
产品子体明细1
product_trend
历史(销量/价格/排名)趋势1
product_reviews
用户评论(最多100条)1
product_traffic_terms
流量关键词反查1
competitor_product_keywords
竞品关键词布局1
product_keyword_rank_trend
关键词排名趋势1
product_search
产品搜索/筛选1
potential_product_search
潜力产品搜索1
InterfacePurposeCall Cost
product_detail
Product details1
product_variations
Product child item details1
product_trend
Historical (sales/price/rank) trends1
product_reviews
User reviews (up to 100 entries)1
product_traffic_terms
Traffic keyword reverse lookup1
competitor_product_keywords
Competitor keyword layout1
product_keyword_rank_trend
Keyword ranking trend1
product_search
Product search/filtering1
potential_product_search
Potential product search1

类目相关接口 (7个)

Category-Related Interfaces (7)

接口用途调用消耗
category_name_search
类目名称搜索(获取nodeid)1
category_tree
类目树结构5
category_report
类目实时报告(Top100)1
category_history_report
类目历史报告(最长40天)1
category_trend
类目趋势(11种趋势类型)1
category_market_search
类目市场搜索/筛选1
category_keywords
类目核心关键词1
InterfacePurposeCall Cost
category_name_search
Category name search (obtain nodeid)1
category_tree
Category tree structure5
category_report
Real-time category report (Top100)1
category_history_report
Historical category report (up to 40 days)1
category_trend
Category trends (11 trend types)1
category_market_search
Category market search/filtering1
category_keywords
Core category keywords1

关键词相关接口 (4个)

Keyword-Related Interfaces (4)

接口用途调用消耗
keyword_detail
关键词详情1
keyword_search_result
关键词搜索结果自然位1
keyword_trend
关键词历史趋势1
keyword_related_words
关键词延伸词/长尾词1
InterfacePurposeCall Cost
keyword_detail
Keyword details1
keyword_search_result
Natural positions of keyword search results1
keyword_trend
Historical keyword trends1
keyword_related_words
Keyword extensions/long-tail words1

关键词词库管理 (5个)

Keyword Library Management (5)

接口用途调用消耗
add_keyword
添加关键词收藏1
move_keyword
移动到收藏夹1
remove_keyword
删除关键词1
query_keyword_dict_list
查询收藏夹列表1
query_keyword_dict
查询收藏的词1
InterfacePurposeCall Cost
add_keyword
Add keyword to favorites1
move_keyword
Move to favorites folder1
remove_keyword
Delete keyword1
query_keyword_dict_list
Query favorites folder list1
query_keyword_dict
Query saved keywords1

1688 供货平台 (1个)

1688 Supply Platform (1)

接口用途调用消耗
products_1688
1688产品搜索/采购成本分析1
InterfacePurposeCall Cost
products_1688
1688 product search/purchase cost analysis1

TikTok 电商平台 (8个)

TikTok E-Commerce Platform (8)

接口用途调用消耗
tiktok_product_search
TikTok产品搜索1
tiktok_product_detail
TikTok产品详情1
tiktok_product_videos
TikTok带货视频1
tiktok_product_influencers
TikTok带货达人分析1
tiktok_product_trend
TikTok产品趋势1
tiktok_influencer_search
TikTok达人搜索1
tiktok_category_name_search
TikTok类目搜索1
tiktok_category_report
TikTok类目报告1
InterfacePurposeCall Cost
tiktok_product_search
TikTok product search1
tiktok_product_detail
TikTok product details1
tiktok_product_videos
TikTok product promotion videos1
tiktok_product_influencers
TikTok influencer analysis1
tiktok_product_trend
TikTok product trends1
tiktok_influencer_search
TikTok influencer search1
tiktok_category_name_search
TikTok category search1
tiktok_category_report
TikTok category report1

调研维度与接口对照表

Research Dimension and Interface Comparison Table

当用户需要调研特定维度时，使用以下接口：
When users need to research specific dimensions, use the following interfaces:

亚马逊产品调研

Amazon Product Research

调研维度使用接口关键参数
产品基础信息
product_detail
asin
销量/价格趋势
product_trend
asin, productTrendType
用户评价
product_reviews
asin, reviewType
流量来源
product_traffic_terms
asin
竞品关键词布局
competitor_product_keywords
asin
关键词排名监控
product_keyword_rank_trend
asin, keyword
子体明细
product_variations
asin
Research DimensionInterface UsedKey Parameters
Product Basic Information
product_detail
asin
Sales/Price Trends
product_trend
asin, productTrendType
User Reviews
product_reviews
asin, reviewType
Traffic Sources
product_traffic_terms
asin
Competitor Keyword Layout
competitor_product_keywords
asin
Keyword Ranking Monitoring
product_keyword_rank_trend
asin, keyword
Child Item Details
product_variations
asin

亚马逊关键词调研

Amazon Keyword Research

调研维度使用接口关键参数
关键词数据分析
keyword_detail
keyword
关键词搜索结果
keyword_search_result
searchKeyword
关键词历史趋势
keyword_trend
searchKeyword
长尾词挖掘
keyword_related_words
searchKeyword
Research DimensionInterface UsedKey Parameters
Keyword Data Analysis
keyword_detail
keyword
Keyword Search Results
keyword_search_result
searchKeyword
Historical Keyword Trends
keyword_trend
searchKeyword
Long-Tail Word Mining
keyword_related_words
searchKeyword

亚马逊类目调研

Amazon Category Research

调研维度使用接口关键参数
类目搜索(获nodeid)
category_name_search
searchName
类目分析
category_report
nodeId
类目趋势
category_trend
nodeId, trendIndex
类目关键词
category_keywords
nodeId
类目市场筛选
category_market_search
多种筛选参数
Research DimensionInterface UsedKey Parameters
Category Search (Obtain nodeid)
category_name_search
searchName
Category Analysis
category_report
nodeId
Category Trends
category_trend
nodeId, trendIndex
Category Keywords
category_keywords
nodeId
Category Market Filtering
category_market_search
Multiple filtering parameters

亚马逊选品调研

Amazon Product Selection Research

调研维度使用接口关键参数
产品搜索/筛选
product_search
searchName + 筛选参数
潜力产品挖掘
potential_product_search
searchName, price_range等
Research DimensionInterface UsedKey Parameters
Product Search/Filtering
product_search
searchName + filtering parameters
Potential Product Mining
potential_product_search
searchName, price_range, etc.

TikTok 跨平台调研

TikTok Cross-Platform Research

调研维度使用接口关键参数
相似产品分析
tiktok_product_search
site, searchName
TikTok产品详情
tiktok_product_detail
site, productId
带货视频分析
tiktok_product_videos
site, productId
带货达人分析
tiktok_product_influencers
site, productId
产品趋势追踪
tiktok_product_trend
site, productId
达人搜索
tiktok_influencer_search
site, searchName
TikTok类目分析
tiktok_category_report
site, nodeId
Research DimensionInterface UsedKey Parameters
Similar Product Analysis
tiktok_product_search
site, searchName
TikTok Product Details
tiktok_product_detail
site, productId
Promotion Video Analysis
tiktok_product_videos
site, productId
Influencer Analysis
tiktok_product_influencers
site, productId
Product Trend Tracking
tiktok_product_trend
site, productId
Influencer Search
tiktok_influencer_search
site, searchName
TikTok Category Analysis
tiktok_category_report
site, nodeId

供应链成本调研

Supply Chain Cost Research

调研维度使用接口关键参数
1688采购成本
products_1688
searchName
Research DimensionInterface UsedKey Parameters
1688 Purchase Cost
products_1688
searchName

支持的平台站点

Supported Platform Sites

平台站点数量支持站点
亚马逊14个US, GB, DE, FR, IN, CA, JP, ES, IT, MX, AE, AU, BR, SA
TikTok6个US, GB, MY, PH, VN, ID
1688-国内批发采购平台
本技能文档版本: v2.2 | 最后更新: 2026-03-03
PlatformNumber of SitesSupported Sites
Amazon14US, GB, DE, FR, IN, CA, JP, ES, IT, MX, AE, AU, BR, SA
TikTok6US, GB, MY, PH, VN, ID
1688-Domestic wholesale procurement platform
This skill document version: v2.2 | Last updated: 2026-03-03