Youtube Scraper Fast

Turn YouTube into structured, high-volume intelligence in minutes.

Youtube scraper fast is built for teams that need more than basic exports. It collects public YouTube data from searches, channels, playlists, videos, Shorts, and streams, then returns production-ready records you can use for analytics, automation, monitoring, and AI workflows.

If your goal is to move from manual research to scalable data collection, this actor is designed for speed, flexibility, and clean outputs.

Why teams choose Youtube scraper fast

• High-volume extraction with separate limits for videos, Shorts, and streams.
• Broad source coverage: query-based discovery plus direct URL scraping.
• Deep Search mode for wider historical coverage when regular search depth is not enough.
• Rich, structured fields for BI dashboards, data warehouses, and LLM pipelines.
• Subtitles support for transcript analysis, topic modeling, and content intelligence.

What you can scrape

Youtube scraper fast supports:

• Search queries
• Video URLs
• Shorts URLs
• Stream/watch URLs
• Channel URLs and handles
• Playlist URLs
• Hashtag URLs
• YouTube search result URLs

The output can include detailed records for:

• video
• shorts
• stream
• channel
• playlist
• error

Built for real business workflows

Use this actor to power:

• Competitor intelligence on video strategy and engagement trends.
• Brand monitoring across titles, channels, and content categories.
• Creator scouting and benchmarking by topic, format, and performance.
• Shorts trend tracking for emerging topics and rapid content signals.
• SEO and content planning based on velocity, metadata, and publishing patterns.
• Subtitle-enabled enrichment for NLP classification and AI assistants.

Core features

1) Multi-source acquisition

Run from keywords, direct URLs, or both. This lets you combine discovery mode and precision mode in one workflow.

2) Parallel extraction by content type

Set independent caps for regular videos, Shorts, and streams:

• maxResults
• maxResultsShorts
• maxResultStreams

This gives you precise control over dataset composition.

3) Deep Search mode

Enable isDeepSearch when you need broader historical retrieval and more complete coverage for demanding research projects.

4) Subtitle retrieval

Download public subtitle tracks and optionally save subtitle files to KVS for downstream automations.

5) Advanced filtering options

Use search filters to narrow your crawl by date, duration, and content features when available.

Quick start

1. Open Youtube scraper fast in Apify Console.
2. Add searchQueries or startUrls.
3. Set content limits by type.
4. Enable subtitles if needed.
5. Run the actor.
6. Download your dataset in JSON, CSV, Excel, or consume via API.

Input examples

Keyword discovery run

{
  "searchQueries": ["nvidia ai", "open source llm"],
  "maxResults": 100,
  "maxResultsShorts": 50,
  "maxResultStreams": 20
}

URL-driven extraction run

{
  "startUrls": [
    { "url": "https://www.youtube.com/@NVIDIA/videos" },
    { "url": "https://www.youtube.com/playlist?list=PLsyeobzWxl7poL9JTVyndKe62ieoN-MZ3" },
    { "url": "https://www.youtube.com/shorts/jA193AvEZew" }
  ],
  "maxResults": 120,
  "maxResultsShorts": 80,
  "maxResultStreams": 30
}

Subtitles-focused run

{
  "searchQueries": ["machine learning tutorial"],
  "maxResults": 20,
  "downloadSubtitles": true,
  "saveSubsToKVS": true,
  "subtitlesLanguage": "en",
  "subtitlesFormat": "vtt",
  "preferAutoGeneratedSubtitles": true
}

Deep Search run

{
  "searchQueries": ["climate tech"],
  "maxResults": 500,
  "maxResultsShorts": 200,
  "maxResultStreams": 100,
  "isDeepSearch": true
}

Main input fields

• searchQueries: list of search queries.
• startUrls: list of supported YouTube URLs.
• maxResults: maximum regular videos.
• maxResultsShorts: maximum Shorts.
• maxResultStreams: maximum streams.
• downloadSubtitles: download public subtitles.
• saveSubsToKVS: store subtitle files in KVS.
• subtitlesLanguage: preferred subtitle language (any, en, es, and more).
• subtitlesFormat: srt, vtt, xml, plaintext.
• sortingOrder, dateFilter, lengthFilter: search-level filtering controls.
• isLive, is4K, isHD, is360, isVR180, is3D, isCreativeCommons, hasSubtitles, isHDR, hasLocation: advanced feature filters.
• oldestPostDate: date cutoff for channel tabs.
• testMode: strict session validation mode.

Example output record

{
  "type": "video",
  "id": "Q7_sKH5Lq04",
  "url": "https://www.youtube.com/watch?v=Q7_sKH5Lq04",
  "title": "Example title",
  "thumbnailUrl": "https://i.ytimg.com/.../maxresdefault.jpg",
  "viewCount": 123456,
  "likes": 7890,
  "commentsCount": 321,
  "date": "2026-05-20T10:22:00.000Z",
  "duration": "00:12:34",
  "channelName": "Example Channel",
  "channelUrl": "https://www.youtube.com/@example",
  "channelId": "UCxxxxxxxx",
  "numberOfSubscribers": 1000000,
  "description": "...",
  "descriptionLinks": [],
  "hashtags": ["#ai", "#youtube"],
  "subtitles": [],
  "fromYTUrl": "https://www.youtube.com/results?search_query=example"
}

What makes it commercially useful

• Faster research cycles for marketing and analyst teams.
• Better signal coverage by combining videos, Shorts, and streams.
• Cleaner handoff to internal tools, CRMs, warehouses, and automation platforms.
• Less manual work, fewer ad-hoc exports, and more repeatable processes.

Important notes

• This actor extracts publicly available YouTube data.
• Field availability can vary by video or channel.
• When an input has no results, an error-type item may be emitted with context.

Support

Need a ready-to-run preset for your use case (brand monitoring, competitor tracking, Shorts-first intelligence, or subtitle enrichment)?

Open an issue and request a recommended input template.