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FlashData Google Search & YouTube APIs

Google Search and YouTube search, subtitles, metadata and download APIs for AI assistants

FlashData • Hong Kong
Active
Updated Nov 12, 2026
Paid
Free Plan: No
Starting at
Free
Free Trial: No
  • ✓ 15 task-specific APIs with documented inputs and structured outputs
  • ✓ Open-source MCP and Agent Skills clients for AI assistant workflows

Cons

  • ✕ Requires API key and paid Credits; existing subtitles only, no ASR or translation

Features

Google search data

Search, News, Images, Shopping, Videos and Places results.

YouTube research data

Search, Extended Search, Metadata, existing Transcript/Captions, Trainability labels, Channel and Suggestions.

Authorized async YouTube downloads

Deliver media to supported user storage when the user has the necessary rights.

Overview & Review

FlashData provides task-specific Google Search and YouTube data APIs for developers, research assistants and AI agents. Google capabilities cover organic Search, News, Images, Shopping, Videos and Places. YouTube capabilities cover standard Search, Extended Search, video Metadata, Transcript, Captions, license/Creative Commons label lookup (Trainability), Channel details, Suggestions and asynchronous Download. Connect through documented HTTP APIs, the open-source MCP client or task-specific Agent Skills. Supply a query, video URL/ID or channel identifier to the matching endpoint, then use structured results in a research workflow. Transcript and Captions read existing subtitle tracks; they do not perform speech recognition or translation. License labels do not grant media or training rights. Download requires rights to the media and supported user storage. An API key and paid Credits are required; there is no free API tier. The MCP/Skills client is MIT licensed. Docs: https://flashdata.dev/docs . Source: https://github.com/rocosen/flashdata-mcp .

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Verified Review EEAT Compliant ✓

Written & Evaluated by 姚辉

AI directory specialist and technical evaluator at AITrendr. Focused on independent hands-on testing, benchmark validation, and pricing transparency.

Fact-Checked By: AITrendr Fact-Check Team • Last Verified: Nov 12, 2026 • Methodology: Independent Hands-On Testing
Listed by its maker 姚辉

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