YouTube search volume and trending videos over time. Free key at trendsapi.ai
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YouTube trend data as clean JSON: search interest time series for any keyword, growth rates, and the live trending videos feed from one REST endpoint. No Google Cloud project, no quota math.
One endpoint. One API key. One normalized 0-100 trend score you can compare against 14 other platforms.
Docs: https://trendsapi.ai/#quickstart Β· llms.txt: https://trendsapi.ai/llms.txt Β· Free API key (100 req/mo): https://trendsapi.ai/#get-key
1. Get a free API key at https://trendsapi.ai/#get-key - 100 requests/month, no credit card.
2. Make your first call:
Python:
Node.js:
| Mode | What it returns | Needs a keyword? |
|---|---|---|
get_time_series | Historical search volume as a normalized 0-100 series | yes |
get_growth | Growth % over 3M / 6M / 12M / 5Y windows | yes |
get_top_trends | Live trending feeds (21 of them) | no |
| YouTube Data API | Trends API | |
|---|---|---|
| Setup | Google Cloud project + OAuth | one API key |
| Search interest metric | not exposed | normalized 0-100 series |
| Trending videos feed | separate endpoint | included, one call |
| Quota management | yes, units per call | flat: 1 request = 1 call |
| Free tier | 10k units/day | 100 requests/month |
The same API key powers the Trends API MCP server, so Claude, Cursor, VS Code, ChatGPT and any MCP-compatible client can query this data in natural language.
Cursor / Windsurf / Cline (~/.cursor/mcp.json or equivalent):
VS Code / GitHub Copilot (.vscode/mcp.json):
Claude Desktop (claude_desktop_config.json):
Claude.ai (browser): Settings -> Connectors -> Add custom connector -> https://api.trendsapi.ai/mcp
Then ask things like:
| Source | source value | What it measures |
|---|---|---|
| Google Search | google search | Search volume |
| Google Images | google images | Image search volume |
| Google News | google news | News search volume |
| Google Shopping | google shopping | Shopping search volume |
| YouTube | youtube | Search volume |
| TikTok | tiktok | Hashtag volume |
reddit | Subreddit subscribers | |
| Amazon | amazon | Product search volume |
| Wikipedia | wikipedia | Page views |
| News volume | news volume | Article mention volume |
| News sentiment | news sentiment | Positive / negative score |
| App downloads | app downloads | Android downloads (AppBrain) |
| App rankings | app rankings | Android chart position |
| npm | npm | Weekly package downloads |
| Steam | steam | Concurrent players (monthly) |
get_top_trends, no keyword needed)| Feed | type value |
|---|---|
| Google Trends | Google Trends |
| Google News Top News | Google News Top News |
| TikTok Trending Hashtags | TikTok Trending Hashtags |
| TikTok Trending Searches | TikTok Trending Searches |
| TikTok Shop Hot Products | TikTok Shop Hot Products |
| YouTube Trending | YouTube Trending |
| X (Twitter) Trending | X (Twitter) Trending |
| Reddit Hot Posts | Reddit Hot Posts |
| Reddit World News | Reddit World News |
| Wikipedia Trending | Wikipedia Trending |
| Amazon Best Sellers Top Rated | Amazon Best Sellers Top Rated |
| Amazon Best Sellers by Category | Amazon Best Sellers by Category |
| App Store Top Free | App Store Top Free |
| App Store Top Paid | App Store Top Paid |
| Google Play | Google Play |
| Top Websites | Top Websites |
| Spotify Top Podcasts | Spotify Top Podcasts |
| Steam Most Played | Steam Most Played |
| GitHub Trending Repos | GitHub Trending Repos |
| IMDb MOVIEmeter | IMDb MOVIEmeter |
| Open Library Trending Books | Open Library Trending Books |
Keyword search volume over time (normalized 0-100), growth over 3M/6M/12M/5Y windows, and the live YouTube Trending feed of top videos right now.
The YouTube Data API returns video and channel metadata but no search-interest metric. Trends API gives you the demand side: how often people search for a topic, plus a normalized score you can compare against TikTok, Google and 13 other sources.
No. One Trends API key, one POST endpoint, no OAuth and no quota-unit accounting.
The trending feed updates continuously through the day. Keyword series are pulled on demand at request time; every response carries its own timestamp.
Yes. Make one get_growth call per source with the same keyword and compare the percentages directly - both are on the same normalized scale.
MIT - see LICENSE. Data is served by Trends API; usage of the API itself is subject to the plan limits on your key.
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