π¬ YouTube Video Summarizer β AI-Powered Summaries
Pricing
$19.99/month + usage
π¬ YouTube Video Summarizer β AI-Powered Summaries
π¬ YouTube Video Summarizer delivers AI-powered summaries, key takeaways, timestamps, transcripts, chapters, and keywords from any YouTube video or playlist. β‘ Save time on research, notes, and SEO. π Ideal for creators, marketers, educators, and teams.
Pricing
$19.99/month + usage
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Scraply
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π¬ YouTube Video Summarizer β AI-Powered Summaries
The π¬ YouTube Video Summarizer β AI-Powered Summaries is an Apify actor that extracts rich video metadata and transcripts, then generates concise and long-form AI summaries for YouTube videos. It solves the βtoo long; didnβt watchβ problem by turning videos into digestible insights using OpenAI or Azure OpenAI. Built for marketers, developers, analysts, and researchers, this YouTube video summarizer doubles as a YouTube transcript summarizer and AI video summary generator for YouTube, enabling scalable, automated insights across multiple URLs.
What data / output can you get?
| Data field | Description | Example value |
|---|---|---|
| type | Item type indicator | "video" |
| url | Canonical YouTube watch URL | "https://www.youtube.com/watch?v=dQw4w9WgXcQ" |
| id | Video ID (alias of video_id) | "dQw4w9WgXcQ" |
| video_id | YouTube video ID | "dQw4w9WgXcQ" |
| title | Video title | "Never Gonna Give You Up" |
| description | Full description text | "The official video for βNever Gonna Give You Upβ by..." |
| published_date | ISO date derived from upload_date | "1987-10-25" |
| relativeDate | Human-friendly relative date | "36 year(s) ago" |
| duration_seconds | Video length in seconds | 213 |
| views | View count | 1300000000 |
| likes | Like count (if available) | 9800000 |
| comment_count | Total comments (if available) | 540000 |
| tags | List of tags | ["rickroll", "80s", "pop"] |
| thumbnails | Map of thumbnail sizes to URLs | {"high":"https://i.ytimg.com/vi/.../hqdefault.jpg"} |
| channel | Channel object with metadata | {"id":"UC38IQsAvIsxxjztdMZQtwHA","name":"RickAstleyVEVO","handle":"RickAstleyVEVO","url":"https://www.youtube.com/@RickAstleyVEVO","subscriberCount":"3500000 subscribers","logo":["https://yt3.ggpht.com/..."],"badges":["Verified"]} |
| transcript | List of transcript entries with timestamps | [{"start":"0.000","dur":"3.200","text":"We're no strangers to love"}] |
| category | Primary category if available | "Music" |
| language | Detected language code | "en" |
| live_status | Live status | "none" |
| engagement_rate | (likes + comments) / views | 0.0123 |
| hashtags | Extracted hashtag list (if any) | [] |
| upload_type | Upload type | "normal" |
| resolution | Reported resolution string (if any) | "1080p" |
| summary | Concise 3β4 sentence AI summary | "The video presents..." |
| long_summary | Structured markdown summary | "# Never Gonna Give You Up\n\n## Overview..." |
| summary_source | Source used to generate summary | "transcript" |
| status | Processing status | "ok" |
| error | Error message when status = "error" | "OPENAI_API_KEY not configured; summaries disabled." |
Notes:
- Results stream into the Apify dataset as each URL is processed. You can export in JSON, CSV, or Excel from the dataset.
- On failure, items include status="error" and error fields. In some error cases, the output includes only {"inputUrl", "status", "error"}.
Key features
-
π€ AI-powered summaries (OpenAI/Azure OpenAI) Generate a concise TLDR and a detailed markdown summary from transcripts when available, or fall back to title/description. Ideal for βTLDR for YouTube videosβ and a practical YouTube notes generator.
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π Transcript extraction with timestamps Automatically fetches subtitles/auto-captions when available and returns a transcript with start/duration for each segment. Great for a YouTube transcript summarizer or YouTube video key points extractor workflow.
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π Rich metadata via resilient extraction Collects views, likes, comments, duration, tags, thumbnails, channel info, language, category, and engagement_rate. A robust foundation for analytics and a YouTube video summarization API pipeline.
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π‘οΈ Smart proxy fallback & retries Starts DIRECT, optionally uses your user proxy, and auto-falls back to RESIDENTIAL if blocked. Built-in exponential backoff and multiple extraction strategies improve stability at scale.
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π Batch-friendly processing Paste multiple video URLs and the actor processes them one by one, streaming results as theyβre ready β perfect to summarize YouTube videos with AI at scale.
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π§ Developer-ready on Apify Access results via the Apify API, export as JSON/CSV/Excel, and integrate with your workflows. Works well with automation platforms in broader pipelines.
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β±οΈ Sensible limits for fast turnaround AI summaries are generated for videos up to 1 hour (<= 3,600 seconds). Longer videos are extracted with metadata and surface a clear error for summarization.
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βοΈ Clean, consistent output schema Every item contains a status field ("ok" or "error"), with error details when applicable β making this a reliable YouTube video summary tool online for programmatic use.
How to use π¬ YouTube Video Summarizer β AI-Powered Summaries β step by step
-
Sign in to Apify
Create or log in to your Apify account. -
Open the actor
Find βyoutube-video-summarizerβ in your workspace or the Apify Store. -
Add your input URLs
Paste one or more full YouTube video URLs in urls (accepts https://www.youtube.com/watch?v=... or https://youtu.be/...). -
(Optional) Configure a proxy
Set proxyConfiguration to use Apify Proxy. The actor starts DIRECT and automatically falls back to RESIDENTIAL if blocked, but you can prioritize a specific group. -
Adjust retry behavior
Use maxRetries (1β10, default 3) to control resilience to transient failures (timeouts, temporary blocks). -
Enable AI summaries
Set environment variables for OpenAI or Azure OpenAI. Summaries require OPENAI_API_KEY or the Azure variables (AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_API_KEY, AZURE_OPENAI_DEPLOYMENT, AZURE_OPENAI_API_VERSION). -
Run the actor
Start the run. Results stream live to the dataset β one item per URL β making it a practical AI video summary generator for YouTube. -
Export your data
From the runβs Dataset tab, export in JSON, CSV, or Excel. You can also pull results programmatically via the Apify API.
Pro Tip: Automate downstream processing by reading the dataset with the Apify API or webhooks and sending summaries into your CMS, search index, or analytics stack. Ideal for building a podcast and YouTube summarizer workflow.
Use cases
| Use case | Description |
|---|---|
| Marketing + SEO insights | Extract key points and engagement stats to repurpose content and inform SEO quickly. |
| Content research at scale | Process lists of video URLs to build a searchable index of summaries, tags, and categories. |
| Education & lectures | Turn long lectures into TLDRs and markdown notes; perfect for study guides and course prep. |
| Podcast analysis | Treat YouTube podcast uploads as sources for structured summaries and timestamped transcripts. |
| Competitive monitoring | Track new uploads from competitors and generate automated briefs for your team. |
| Data enrichment pipeline (API) | Feed structured outputs into BI tools, data warehouses, or knowledge graphs via the Apify API. |
| Social media planning | Quickly extract themes and talking points to schedule posts across channels. |
Why choose π¬ YouTube Video Summarizer β AI-Powered Summaries?
- π― Precision-first summaries: Built around transcripts with structured, markdown-friendly outputs.
- π§ Reliable metadata & transcripts: Multiple extraction strategies with yt-dlp and robust fallbacks.
- π Scales with your workflow: Paste multiple URLs and stream results for bulk analysis.
- π» Developer-friendly: Apify API access, consistent schema, and ready-to-export formats.
- π‘οΈ Resilient by design: Smart proxy fallback (DIRECT β USER β RESIDENTIAL) plus exponential backoff.
- πΈ Cost-aware automation: Summarizes videos up to 1 hour for efficiency and predictable runtimes.
- π Integration ready: Use with your existing pipelines for a ChatGPT YouTube summarizer or YouTube video summarization API use case.
Compared to brittle browser extensions or manual copy-paste, this production-grade YouTube video summary tool online delivers structured results, status-aware error handling, and repeatable automation.
Is it legal / ethical to use this tool?
Yes β when done responsibly. This actor accesses publicly available YouTube video pages and caption endpoints to retrieve metadata and transcripts. It does not log in or access private content.
Guidelines for responsible use:
- Only process content youβre permitted to analyze under applicable terms and laws.
- Avoid accessing private, age-restricted, or premium-only content.
- Comply with data protection regulations (e.g., GDPR, CCPA) and your organizationβs policies.
- Consult your legal team for edge cases or jurisdiction-specific questions.
Input parameters & output format
Example input
{"urls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]},"maxRetries": 3}
Parameters
- urls (array of strings) β Required. Enter one or more full YouTube video URLs to summarize. Each URL is processed for metadata, transcript, and AI summary.
- proxyConfiguration (object) β Optional. Apify proxy settings. Leave empty to start DIRECT; the actor auto-falls back to RESIDENTIAL if blocked or you can enable Apify proxy first.
- maxRetries (integer) β Optional. Default: 3. Retries per URL for transient failures (1β10).
Example dataset item (success)
{"type": "video","video_id": "dQw4w9WgXcQ","title": "Never Gonna Give You Up","description": "The official video for βNever Gonna Give You Upβ by Rick Astley...","channel_id": "RickAstleyVEVO","channel_name": "Rick Astley","published_date": "1987-10-25","duration_seconds": 213,"views": 1300000000,"likes": 9800000,"comment_count": 540000,"tags": ["rickroll", "80s", "pop"],"thumbnails": {"high": "https://i.ytimg.com/vi/dQw4w9WgXcQ/hqdefault.jpg"},"channel": {"id": "UC38IQsAvIsxxjztdMZQtwHA","name": "Rick Astley","handle": "RickAstleyVEVO","url": "https://www.youtube.com/@RickAstleyVEVO","subscriberCount": "3500000 subscribers","logo": ["https://yt3.ggpht.com/abc123=s88-c-k-c0x00ffffff-no-rj"],"badges": ["Verified"]},"transcript": [{ "start": "0.000", "dur": "3.200", "text": "We're no strangers to love" }],"category": "Music","language": "en","live_status": "none","engagement_rate": 0.0123,"hashtags": [],"upload_type": "normal","resolution": "1080p","url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ","id": "dQw4w9WgXcQ","relativeDate": "36 year(s) ago","summary": "The video delivers a classic 80s pop performance with upbeat production and a catchy hook...","long_summary": "# Never Gonna Give You Up\n\n## Overview\n\nThis 80s pop track blends synth-driven production with...","summary_source": "transcript","status": "ok"}
Example dataset item (error)
{"inputUrl": "https://www.youtube.com/watch?v=LONG_VIDEO_ID","status": "error","error": "Video exceeds max length (1 hour)."}
Notes:
- When summaries are disabled (no OPENAI_API_KEY and no Azure OpenAI variables), status may be "error" with error explaining the configuration issue.
- The run also stores a RUN_SUMMARY.json in the key-value store with aggregate counts: {"processed":
FAQ
Do I need an API key for AI summaries?
Yes. Set OPENAI_API_KEY to use OpenAI, or configure Azure OpenAI via AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_API_KEY, AZURE_OPENAI_DEPLOYMENT, and AZURE_OPENAI_API_VERSION. Without these, the actor can still extract metadata and transcripts but will return a status="error" for the summarization step.
Does it work for long videos?
Summarization is supported for videos up to 1 hour (<= 3,600 seconds). Longer videos will still have metadata extraction attempted, but the actor will report an error for the summarization step: βVideo exceeds max length (1 hour).β
Can it process multiple links at once?
Yes. Provide multiple items in urls and the actor will process them sequentially, streaming one result per URL into the dataset. This is ideal to summarize YouTube videos with AI at scale.
Does it support playlists or channels?
Provide direct video URLs. The actor is optimized for single video links and generates one dataset item per video URL.
What happens if YouTube blocks my requests?
The actor starts DIRECT, then uses your user proxy if configured, and automatically falls back to a RESIDENTIAL proxy when blocked. It also implements retries with exponential backoff to handle transient network issues.
What data formats can I export?
From the Apify dataset, you can export results to JSON, CSV, or Excel. You can also fetch data via the Apify API for integration into pipelines.
Does it require login or cookies?
No. This tool does not require login. It extracts publicly available video information and captions when accessible.
Will it generate chapters or a YouTube summary Chrome extension UI?
No. This actor focuses on generating concise and long-form summaries, plus transcripts and metadata. It does not create chapters or ship as a browser extension UI.
Closing thoughts
π¬ YouTube Video Summarizer β AI-Powered Summaries is built to turn YouTube videos into structured insights you can use immediately. Get AI summaries, timestamped transcripts, and rich metadata β all streamed to your dataset for fast export and automation. Whether youβre a marketer, developer, analyst, or researcher, you can plug the Apify API into your stack and run a dependable YouTube video summarization API workflow at scale. Start extracting smarter video insights today.