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YouTube Transcript Scraper

youtube_transcript_scraper
Read-only

Scrape YouTube transcripts in bulk — text, timestamps, any language. Scrape YouTube transcripts in bulk — text, timestamps, any language. Videos, channels, playlists. No API key. $10 per 1,000.

Input Schema

NameRequiredDescriptionDefault
inputNoInput for YouTube Transcript Scraper. See https://apify.com/noniner/youtube-transcript-scraper.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations only cover readOnlyHint and openWorldHint; the description adds real behavioral context beyond that — no API key required (auth profile) and a $10 per 1,000 pricing/cost signal, plus what the payload contains. It stops short of stating rate limits, pagination, or failure behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is duplicated verbatim ('Scrape YouTube transcripts in bulk — text, timestamps, any language.' appears twice), which is pure waste and pushes the genuinely informative bits ($10 per 1,000, no API key) past redundant text. Short overall, but the repetition is a clear structural defect.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only bulk scraper with no output schema and a link-only input schema, the description covers what is returned (text, timestamps, language) but leaves the input contract opaque — no URL/handle formats, no indication of limits per video or channel. Adequate but with visible gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one nested 'input' object whose schema description is merely a URL pointing outward, so the schema adds almost no semantic content despite the nominal 100% coverage. The description partially compensates by naming accepted target types (videos, channels, playlists), but gives no syntax for those values.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete verb+resource ('Scrape YouTube transcripts') and enumerates both output (text, timestamps, any language) and input scope (videos, channels, playlists). This distinguishes it from sibling scrapers like amazon_reviews_scraper or reddit_insights, though it never explicitly names an alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'in bulk' and 'Videos, channels, playlists' imply the intended scraping context, so usage is inferable, but there is no explicit when-to-use/when-not guidance or prerequisite section. An agent must infer the batch orientation on its own.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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