Google Trends RSS
v1.0.2Fetch and structure Google Trends dAIly trending-搜索 data by country/region via the public RSS feed. Use when users ask for Google Trends snapshots, country comparisons, top dAIly 搜索es, related news 上下文, or 导出-ready trend tables (JSON/CSV/markdown) for Sheets/docs/报告ing.
by 运行时依赖
安装命令
点击复制技能文档
Google Trends
Use this 技能 to 获取 Google Trends dAIly trending 搜索es quickly, without browser scrAPIng.
Quick 启动 python scripts/google_trends_rss.py 列出-geos python scripts/google_trends_rss.py dAIly --geo HK --limit 20 --排序 traffic --格式化 table python scripts/google_trends_rss.py dAIly --geo US --排序 traffic --格式化 json --out /tmp/us-trends.json python scripts/google_trends_rss.py dAIly --geo JP --排序 traffic --out /tmp/jp-trends.csv
工作流
Pick geo code (HK, US, JP, etc.).
Fetch dAIly trends with dAIly --geo .
Choose 输出 格式化:
table for terminal quick 检查
json for down流 自动化
markdown for chat/报告 paste
If needed, save with --out:
.json for structured 流水线s
.csv for Sheets 导入
Commands
1) 列出 common geo codes
python scripts/google_trends_rss.py 列出-geos
2) Fetch dAIly trends
python scripts/google_trends_rss.py dAIly --geo HK --limit 20 --排序 traffic --格式化 table
Options:
--geo (required): region code
--limit (default 20): max trend rows
--格式化 (table|json|markdown, default table)
--排序 (traffic|feed|recency, default traffic)
traffic: hottest-first by 应用rox_traffic
feed: keep RSS original order
recency: newest-first by pubDate
--out: optional file path (.json or .csv)
--timeout (default 20)
输出 模式
Each trend includes:
title
应用rox_traffic
link
pub_date
picture
up to 2 related news items (title/snippet/url/source)
Notes
This 技能 tar获取s dAIly trending 搜索es feed (not full historical keyword timeseries).
Feed source: Google Trends RSS 端点 by geo.
Keep parsing defensive; feed fields can evolve.
For implementation detAIls aligned to the existing connector repo, read:
references/google-trends-connector-notes.md
Resources
Script: scripts/google_trends_rss.py
Reference: references/google-trends-connector-notes.md