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FlashData Google Search & YouTube APIs

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FlashData Google Search & YouTube APIs — Google Search and YouTube data APIs, MCP and 15 task Skills

About FlashData Google Search & YouTube APIs

FlashData provides Google web, news, images, shopping, videos and places APIs, plus YouTube search, extended search, metadata, existing transcripts, uploader captions, license-label checks, channels, autocomplete and downloads to your own storage. Developers and AI assistants can use REST APIs, an MIT MCP/CLI client and 15 task Skills for source research and video-data workflows. Bring your own API key and paid Credits; there is no free API tier. Existing subtitle tracks only: no ASR or translation. License labels do not grant media rights. Media delivery requires the user’s rights and storage setup. Docs: https://flashdata.dev/mcp . Source: https://github.com/rocosen/flashdata-mcp . Submitted by the FlashData maintainer; one combined product.

Who it is for
Developers and AI assistants building source research and YouTube data workflows.
Problem it solves
Research workflows need structured search results, video metadata and existing subtitle tracks without building separate integrations for each task.
The solution
FlashData provides Google web, news, images, shopping, videos and places APIs, plus YouTube search, extended search, metadata, existing transcripts, uploader captions, license-label checks, channels, autocomplete and downloads to your own storage. Developers and AI assistants can use REST APIs, an MIT MCP/CLI client and 15 task Skills for source research and video-data workflows. Bring your own API key and paid Credits; there is no free API tier. Existing subtitle tracks only: no ASR or translation. License labels do not grant media rights. Media delivery requires the user’s rights and storage setup. Docs: https://flashdata.dev/mcp . Source: https://github.com/rocosen/flashdata-mcp . Submitted by the FlashData maintainer; one combined product.
What makes it unique
One REST API family plus an MIT MCP/CLI client and 15 task Skills covering six Google and nine YouTube workflows. API usage requires an API key and paid Credits.

Features

  • Google Search APIs

    Search Google web, news, images, shopping, videos and places.

  • YouTube data and media workflows

    Search, extended search, metadata, existing transcripts, captions, license labels, channels, autocomplete and downloads to your own storage.

Details

Platforms
  • API
  • CLI
Pricing
  • Paid
  • Usage-based
  • Open source
Built for

Developers and AI assistants building source research and YouTube data workflows.

Building since

2026

Technology

Website performance

Recorded mobile lab measurements and finalized weekly standings from IndieTools Speed.

FlashData Google Search & YouTube APIs website speed overview

89
Performance scoreNeeds improvement

In IndieTools' mobile lab test on November 14, 2026, the FlashData Google Search & YouTube APIs website scored 89 out of 100 (needs improvement). Largest Contentful Paint took 1.20 s, rated good.

Measured (UTC)

LCPLargest Contentful Paint
1.20 s
Good
TBTTotal Blocking Time
434 ms
Needs improvement
CLSCumulative Layout Shift
0.000
Good
FCPFirst Contentful Paint
1.20 s
Good

Not ranked in a finalized week yet.

Stored lab observations from controlled test runs, not real-user Core Web Vitals or a guarantee of search rankings. Weekly standings remain attached to their finalized edition.Method psi-mobile-two-sample-mean-v1, 2 samples per reading. Lab results can vary between runs.

DR4 (primary model)
1

First DR4 reading

DR3
16

First DR3 reading

Model difference−15. DR4 is 15 points lower than DR3.

Measured · flashdata.dev

What do DR4, DR3 and the model difference mean?
DR4:
Ahrefs' newer model. It gives more weight to links from sites with organic search traffic and rates a subdomain on its own links.
DR3:
The previous model, shown in the Ahrefs app until 1 December 2026.
Model difference:
DR4 minus DR3 for the same domain. The models calculate differently, so this is not growth or a drop; the “since” lines compare each model with itself.

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