linkfox-google-trends-keyword

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

Google Trends Keyword Trend Analysis

Google Trends关键词趋势分析

This skill guides you on how to query and analyze Google Trends keyword search interest data, helping users understand how keyword popularity changes over time across different regions.

本技能将指导您如何查询和分析Google Trends关键词搜索兴趣数据，帮助您了解不同区域内关键词热度随时间的变化情况。

Core Concepts

核心概念

Google Trends provides normalized search interest data (0-100 scale) reflecting how popular a given search term is relative to its peak popularity in the selected region and time range. A value of 100 represents peak popularity, 50 means the term is half as popular as its peak, and 0 means insufficient data.

Important language rule: Keywords must be in the language of the target country. For example, use English keywords for the US, German keywords for Germany, Japanese keywords for Japan. If the user provides keywords in the wrong language, translate them before querying.

Google Trends提供归一化的搜索兴趣数据（0-100刻度），反映特定搜索词相对于所选区域和时间范围内峰值热度的流行程度。数值100代表峰值热度，50表示该词的热度为峰值的一半，0表示数据不足。

重要语言规则：关键词必须使用目标国家的语言。例如，针对美国使用英文关键词，针对德国使用德文关键词，针对日本使用日文关键词。如果用户提供的关键词语言不正确，需先翻译再进行查询。

Parameters

参数

Parameter	Type	Required	Description
keyword	string	Yes	The search keyword to analyze (max 100 characters). Must be in the target country's language.
region	string	No	Country/region code. Defaults to `US` .
dayRangeStart	string	No	Start date for the time range (format: YYYY-MM-DD, from 2004 onward).
dayRangeEnd	string	No	End date for the time range (format: YYYY-MM-DD, from 2004 onward).

When both

dayRangeStart

and

dayRangeEnd

are provided, the custom time range takes priority.

参数	类型	是否必填	描述
keyword	string	是	要分析的搜索关键词（最多100字符）。必须使用目标国家的语言。
region	string	否	国家/地区代码。默认值为 `US` 。
dayRangeStart	string	否	时间范围的开始日期（格式：YYYY-MM-DD，从2004年起）。
dayRangeEnd	string	否	时间范围的结束日期（格式：YYYY-MM-DD，从2004年起）。

当同时提供

dayRangeStart

和

dayRangeEnd

时，自定义时间范围优先生效。

Supported Regions

支持的区域

US (United States), GB (United Kingdom), JP (Japan), CA (Canada), MX (Mexico), DE (Germany), FR (France), IT (Italy), ES (Spain), NL (Netherlands), AU (Australia), SG (Singapore), AE (United Arab Emirates), BR (Brazil), IN (India), TR (Turkey), PL (Poland), SE (Sweden)

Default region is US. Use US when the user doesn't specify a region.

US（美国）、GB（英国）、JP（日本）、CA（加拿大）、MX（墨西哥）、DE（德国）、FR（法国）、IT（意大利）、ES（西班牙）、NL（荷兰）、AU（澳大利亚）、SG（新加坡）、AE（阿联酋）、BR（巴西）、IN（印度）、TR（土耳其）、PL（波兰）、SE（瑞典）

默认区域为US。当用户未指定区域时，使用US。

API Usage

API使用说明

This tool calls the LinkFox tool gateway API. See

references/api.md

for calling conventions, request parameters, and response structure. You can also execute

scripts/google_trends_keyword.py

directly to run queries.

本工具调用LinkFox工具网关API。调用规范、请求参数和响应结构请参考

references/api.md

。您也可以直接执行

scripts/google_trends_keyword.py

来运行查询。

How to Build Queries

如何构建查询

Principles for Effective Queries

有效查询原则

Use the correct language: Always ensure keywords match the target region's language. Translate first if needed.
Specify a region: Default is US, but always confirm the user's intended market.
Use date ranges for focused analysis: For seasonal trends or specific event analysis, provide
```
dayRangeStart
```
and
```
dayRangeEnd
```
.
Keep keywords concise: Google Trends works best with short, focused search terms.

使用正确的语言：确保关键词与目标区域的语言匹配，如有需要先进行翻译。
指定区域：默认是美国，但请始终确认用户的目标市场。
使用日期范围进行聚焦分析：针对季节性趋势或特定事件分析，请提供
```
dayRangeStart
```
和
```
dayRangeEnd
```
。
保持关键词简洁：Google Trends最适用于简短、聚焦的搜索词。

Usage Examples

使用示例

1. Basic Keyword Trend (Default Region & Time)

json

{"keyword": "wireless charger"}

Query the overall search interest trend for "wireless charger" in the US.

2. Keyword Trend in a Specific Region

json

{"keyword": "Ladekabel", "region": "DE"}

Query the search interest for "Ladekabel" (charging cable) in Germany.

3. Custom Date Range Analysis

json

{"keyword": "christmas gifts", "region": "US", "dayRangeStart": "2024-09-01", "dayRangeEnd": "2025-01-31"}

Analyze the seasonal trend of "christmas gifts" in the US from September 2024 through January 2025.

4. Year-over-Year Comparison

json

{"keyword": "sunscreen", "region": "AU", "dayRangeStart": "2023-01-01", "dayRangeEnd": "2025-12-31"}

Compare multi-year seasonality of "sunscreen" in Australia.

5. Regional Market Research

json

{"keyword": "yoga mat", "region": "GB"}

Check the popularity trend of "yoga mat" in the United Kingdom.

6. Emerging Trend Detection

json

{"keyword": "AI glasses", "region": "US", "dayRangeStart": "2024-01-01", "dayRangeEnd": "2025-12-31"}

Track the rise of "AI glasses" search interest over the past two years in the US.

1. 基础关键词趋势（默认区域和时间）

json

{"keyword": "wireless charger"}

查询美国地区“wireless charger”的整体搜索兴趣趋势。

2. 特定区域的关键词趋势

json

{"keyword": "Ladekabel", "region": "DE"}

查询德国地区“Ladekabel”（充电线）的搜索兴趣。

3. 自定义日期范围分析

json

{"keyword": "christmas gifts", "region": "US", "dayRangeStart": "2024-09-01", "dayRangeEnd": "2025-01-31"}

分析美国地区2024年9月至2025年1月期间“christmas gifts”的季节性趋势。

4. 同比对比

json

{"keyword": "sunscreen", "region": "AU", "dayRangeStart": "2023-01-01", "dayRangeEnd": "2025-12-31"}

对比澳大利亚地区“sunscreen”的多年季节性变化。

5. 区域市场调研

json

{"keyword": "yoga mat", "region": "GB"}

查看英国地区“yoga mat”的热度趋势。

6. 新兴趋势检测

json

{"keyword": "AI glasses", "region": "US", "dayRangeStart": "2024-01-01", "dayRangeEnd": "2025-12-31"}

追踪美国地区过去两年“AI glasses”搜索兴趣的上升趋势。

Display Rules

展示规则

Present data clearly: Show trend data in well-formatted tables or describe the trend curve. Include key data points such as peak values, troughs, and notable changes.
Explain the scale: Remind users that Google Trends values are on a 0-100 normalized scale, where 100 = peak popularity in the selected scope.
Highlight patterns: Point out seasonal patterns, sudden spikes, or sustained growth/decline when visible in the data.
Chart data availability: When the response includes
```
chartOption
```
, mention that visualization data is available and describe the trend shape.
Error handling: When a query fails, explain the reason and suggest adjustments (e.g., check keyword spelling, try a different date range, ensure the keyword is in the correct language).

清晰呈现数据：使用格式规范的表格展示趋势数据，或描述趋势曲线。包含关键数据点，如峰值、谷值和显著变化。
解释刻度含义：提醒用户Google Trends的数值采用0-100的归一化刻度，其中100表示所选范围内的峰值热度。
突出模式特征：当数据中出现季节性模式、突然飙升或持续增长/下降时，需指出这些特征。
图表数据可用性：当响应包含
```
chartOption
```
时，说明可视化数据可用，并描述趋势形状。
错误处理：当查询失败时，解释原因并建议调整方案（例如，检查关键词拼写、尝试不同的日期范围、确保关键词使用正确语言）。

Important Limitations

重要限制

No secondary SQL processing: Results from this tool are unstructured and cannot be fed into dynamic query tools for secondary analysis.
Normalized values: Trend values are relative (0-100), not absolute search volumes.
Data availability: Data is available from 2004 onward, but very niche terms may have sparse data.
Single keyword per call: Each API call handles one keyword. For multi-keyword comparisons, make separate calls and compare results.
Language requirement: Keywords must match the target region's language for accurate results.

不支持二次SQL处理：本工具的结果是非结构化的，无法输入到动态查询工具进行二次分析。
归一化数值：趋势值是相对值（0-100），而非绝对搜索量。
数据可用性：数据从2004年起可用，但非常小众的词汇可能数据稀疏。
单次调用单个关键词：每个API调用仅处理一个关键词。如需多关键词对比，需进行多次调用并对比结果。
语言要求：关键词必须与目标区域的语言匹配才能获得准确结果。

User Expression & Scenario Quick Reference

用户表述与场景速查

Applicable -- Queries about keyword search popularity trends:

User Says	Scenario
"How popular is XX keyword on Google"	Basic trend lookup
"Is XX trending up or down"	Trend direction analysis
"When does XX peak in searches"	Seasonal peak detection
"Compare popularity of XX across months"	Seasonal pattern analysis
"Is XX gaining traction in Germany"	Regional trend check
"What's the search trend for XX over the past year"	Historical trend analysis
"Holiday search trends for XX"	Seasonal / event-driven analysis

Not applicable -- Needs beyond Google Trends search interest data:

Google Ads keyword planner or bid/CPC data
Absolute search volume numbers (Google Trends provides relative, not absolute data)
Social media trending topics (Twitter/X, TikTok, etc.)
Amazon-specific search term data (use ABA Data Explorer instead)
Website traffic analytics (Google Analytics, SimilarWeb, etc.)
Keyword ranking on search engine result pages (SEO rank tracking)

Boundary judgment: When users say "keyword research" or "market trend analysis", if it specifically relates to search interest popularity over time from Google's perspective, this skill applies. If they want absolute traffic numbers, advertising metrics, or e-commerce-platform-specific data, it does not apply.

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

The functionality or purpose described in this skill does not match actual behavior
The skill's results do not match the user's intent
The user expresses dissatisfaction or praise about this skill
Anything you believe could be improved

Call the feedback API as specified in

references/api.md

. Do not interrupt the user's flow.

For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.

适用场景 -- 关于关键词搜索热度趋势的查询：

用户表述	场景
"XX关键词在Google上的热度如何"	基础趋势查询
"XX的热度是上升还是下降"	趋势方向分析
"XX的搜索峰值出现在什么时候"	季节性峰值检测
"对比XX在不同月份的热度"	季节性模式分析
"XX在德国的热度是否在上升"	区域趋势检查
"过去一年XX的搜索趋势如何"	历史趋势分析
"XX的节日搜索趋势"	季节性/事件驱动分析

不适用场景 -- 超出Google Trends搜索兴趣数据的需求：

Google Ads关键词规划师或出价/CPC数据
绝对搜索量数值（Google Trends提供的是相对数据，而非绝对数据）
社交媒体热门话题（Twitter/X、TikTok等）
亚马逊专属搜索词数据（请使用ABA Data Explorer）
网站流量分析（Google Analytics、SimilarWeb等）
搜索引擎结果页的关键词排名（SEO排名追踪）

边界判断：当用户提到“关键词研究”或“市场趋势分析”时，如果具体涉及Google视角下的搜索兴趣热度随时间变化，则适用本技能。如果用户需要绝对流量数据、广告指标或电商平台专属数据，则不适用。

反馈：

当出现以下任一情况时，自动检测并通过Feedback API提交反馈：

本技能描述的功能或用途与实际行为不符
本技能的结果不符合用户意图
用户表达了对本技能的不满或赞扬
任何您认为可以改进的地方

请按照

references/api.md

中的指定方式调用反馈API，不要中断用户的流程。

如需更多高质量、专业的跨境电商技能，请访问LinkFox Skills。