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Google Trends TR Volume Fetcher

Data & Research web

Combines Turkey-specific search demand from Google Trends + Trendyol/Hepsiburada suggestions + estimated monthly volume into a row-by-row JSON data table.

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About the skill

Google Trends TR Volume Fetcher

This skill turns the Turkey-specific search-demand signal for a product/topic list into a standardized data table. It gathers, in one place, the interest score and trend direction from Google Trends Turkey, real buyer intent from the autocomplete suggestions of Trendyol and Hepsiburada, and an estimated monthly search volume via Keyword Planner proxy logic. The difference from the generic web-research skill: it always produces output in the same schema, row by row, as machine-processable JSON.

Each row contains the keyword, category, estimated monthly searches, trend direction (rising/stable/declining/seasonal), year-over-year change percentage, competition level, average cost per click (TL), seasonality window, Trendyol and Hepsiburada suggestions, related rising query, and TR interest score (0-100).

When to use it: When you want to validate demand before bringing a product into the Turkish market, make an import/stock decision, pick a niche for content or SEO, plan seasonal campaign timing, or compare the search volume of competing categories. Import-decision hubs and niche-opportunity scouts can call this skill as a signal source.

Output: The estimates are proxies (not official ad-account data); they give direction and order of magnitude, not precision. Requires WebFetch/WebSearch permission.

How do I use this skill?

You don't "run" a skill — after installing it you just tell the agent your task (e.g. ask for the relevant job), and the skill kicks in by itself when its description matches.

Upload the google-trends-tr-fetcher.zip you downloaded as-is — no packaging needed, the format is already correct (folder at root).

  1. Open Settings → Customize → Skills
  2. Upload → select the google-trends-tr-fetcher.zip you downloaded
  3. Claude reads SKILL.md; the name + description appear. Ready ✅

Scripts run in Anthropic's code-execution environment (sandbox) — not on your machine.