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Youtube Text, AI & Metadata Scraper

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Extract YouTube transcripts, AI summary, subtitles, video metadata, hashtags, thumbnails, views, duration, and release dates from YouTube videos using either a search query or a list of direct YouTube URLs. It helps you turn YouTube search results and specific video links into structured JSON data

Pricing

from $2.40 / 1,000 results

Rating

0.0

(0)

Developer

Fabio Borsotti

Actor stats

Bookmarked

Total users

Monthly active users

4.6 hours

Issues response

16 days ago

Last modified

[Unreleased]

Added

PARALLEL environment variable - Parallel video processing support
- Type: integer, Default: 1
- Controls the number of videos to process in parallel
- Implementation: Uses asyncio.Semaphore to limit concurrent operations + asyncio.to_thread() for I/O-bound operations
- Location: src/main.py:105-160 and main() function
- Usage: Set PARALLEL=N where N is the number of concurrent videos (e.g., PARALLEL=3, PARALLEL=20)
- Note: Transcript extraction runs in thread pool via asyncio.to_thread() to prevent event loop blocking
- Performance impact: Reduces total execution time significantly with concurrent requests; e.g., 20 parallel jobs ~3-4x faster than sequential
- Reason: Allow users to leverage multiple concurrent requests to speed up large batch processing
enableMetadata flag - New optional input to fetch video metadata and subtitles
- Type: boolean, Default: false
- When enableMetadata=false (default): behavior identical to previous version, backward compatible
- When enableMetadata=true: fetches complete metadata and list of available subtitles
- Event emission: when enabled, emits an Apify apify-actor-metadata event (via Actor.charge(event_name='apify-actor-metadata')) at the end of execution
- Event emitted only once per run, after completion of all processing
- Implementation date: 2026-06-29
- Reason: allow users to choose between optimized mode (default) and complete metadata mode
- Performance impact: ~3-5x increase in proxy credit consumption when enabled

Changed

Async implementation - All video processing now uses async/await pattern
- process_direct_urls() - Now async, returns awaitable coroutine
- search_videos() - Now async, returns awaitable coroutine
- _process_single_video() - New async method for processing individual videos
- extract_transcript() calls - Now wrapped with asyncio.to_thread() to run in thread pool
- Reason: Enable concurrent processing with asyncio.Semaphore for better parallelization; thread pool prevents event loop blocking on I/O operations
- Backward compatibility: Changes require updating all call sites with await keyword

Restored (Feature Reactivation)

get_video_metadata() - Method restored and made controllable via enableMetadata flag
- Location: src/main.py:207-245
- Fetches: channel name/URL, views, duration, release_date, thumbnail, hashtags
- Resilient: fallback to None if error occurs
- Execution: only if enableMetadata=true
get_available_subtitles() - Method restored and made controllable via enableMetadata flag
- Location: src/main.py:182-205
- Fetches: list of available languages with metadata (language, code, generated/manual, translatable)
- Resilient: fallback to [] if error occurs
- Execution: only if enableMetadata=true
Restored imports: import asyncio, from datetime import datetime, from pytubefix import YouTube, from youtube_transcript_api.proxies import GenericProxyConfig
- Required for get_video_metadata(), get_available_subtitles() methods, and async processing

Changed

Input schema - Added optional enableMetadata field
- Type: boolean
- Default: false
- Editor: checkbox
- Description: "If true, also fetches video metadata and available subtitles (consumes more proxy credits)..."
Documentation (README.md) - New "Metadata Retrieval Strategy" section
- Explains default behavior vs metadata mode
- Notes on performance and credit consumption
- Usage example
- Note in "What data does the Actor extract?" section
Method signatures:
- process_direct_urls() - Added optional parameter enable_metadata=False
- search_videos() - Added optional parameter enable_metadata=False
- Helper _get_optional_metadata() - New method to reduce duplication
main() function - Added support for reading and passing the enableMetadata flag
- Normalized reading to boolean with default false
- Flag propagation to processing functions (process_direct_urls(), search_videos())
- Apify event emission via Actor.charge(event_name='apify-actor-metadata') at end of execution
- Event emitted only if enableMetadata=true, after results saved to dataset and key-value store
- Resilient error handling: warning log if charging fails, execution not interrupted

Disabled (Token Optimization)

get_video_metadata() - Method disabled to save Scrape.do credits
- Previously fetched: views, duration, release_date, thumbnail, hashtags, channel info
- Location: src/main.py:199-237
- Disable date: Before 2026-06-29
- Impact: Significant reduction in proxy requests
get_available_subtitles() - Method disabled to save Scrape.do credits
- Previously fetched: metadata on available subtitles (language, generated/manual, translatable)
- Location: src/main.py:170-193
- Disable date: Before 2026-06-29
- Impact: Reduction in proxy requests per video
Commented import: from datetime import datetime
- No longer necessary since video metadata is disabled
- Location: src/main.py:5

Changed

Proxy Configuration: Full Scrape.do proxy usage restored for all contexts
- extract_transcript(): Proxy enabled via requests session
- search_videos(): Proxy enabled for YouTube searches
- process_direct_urls(): Proxy enabled for transcription
- Date: 2026-06-29
- Reason: Ensure stability and prevent blocking on all sensitive operations

[1.0.0] - Baseline

Initial Release

Core implementation of YouTube scraper with Apify Actor
Support for video search and direct URLs
Transcript extraction with multi-language support
Scrape.do proxy configuration
Input/Output schema for Apify Console

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Youtube Text, AI & Metadata Scraper

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