# YouTube Transcript & SEO Brief Extractor (`express_kingfisher/youtube-transcript-seo-brief`) Actor Extract transcripts, metadata, and generate SEO content briefs from YouTube videos. Get blog outlines, title ideas, keyword themes, and clip suggestions. - **URL**: https://apify.com/express\_kingfisher/youtube-transcript-seo-brief.md - **Developed by:** [Prince Raj](https://apify.com/express_kingfisher) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 77.8% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## YouTube Transcript & SEO Brief Extractor Extract transcripts from YouTube videos and generate SEO-ready content briefs including blog outlines, title ideas, and keyword themes. Built for content creators, SEO teams, and researchers. ### What It Extracts - **Video metadata**: Title, description, channel, view count, upload date, duration, thumbnail - **Transcript**: Full text transcript with timestamps (when publicly available) - **Chapters**: Auto-detected chapters from video description - **Keywords/Topics**: Top 25 keywords and topic themes - **SEO Brief**: Blog outline, title ideas, short-form clip ideas, content summary - **Comment themes**: Top themes from comments (optional) ### Why It's Better Combines transcript extraction with SEO content brief generation. Instead of just getting raw text, you get a complete content brief ready for blog writing, repurposing, or research. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `videoUrls` | string[] | required | YouTube video URLs to process | | `includeComments` | boolean | false | Extract and analyze top comments | | `generateSeoBrief` | boolean | true | Generate blog outline and SEO keywords | | `language` | string | "en" | Preferred transcript language code | ### Output Example ```json { "url": "https://www.youtube.com/watch?v=abc123", "videoId": "abc123", "title": "How to Build a SaaS Product", "description": "Learn the essential steps...", "channel": "Tech Channel", "viewCount": "150000", "duration": "PT15M30S", "thumbnail": "https://i.ytimg.com/vi/abc123/hqdefault.jpg", "transcript": "Welcome to this video about building...", "transcriptLanguage": "en", "chapters": [ { "title": "Introduction", "startTime": "0:00", "startSeconds": 0 }, { "title": "Step 1: Market Research", "startTime": "2:15", "startSeconds": 135 } ], "keywords": ["saas", "product", "startup", "mvp", "development"], "topics": ["product development", "startup strategy"], "seoBrief": { "summary": "This video covers the essential steps...", "keywords": ["saas", "product", "startup"], "blogOutline": ["Introduction: What is SaaS?", "Key Points...", "Detailed Breakdown..."], "titleIdeas": ["How to Build a SaaS Product", "The Ultimate Guide to SaaS Development"], "shortFormClipIdeas": ["Key insight about MVP", "Market research tip"] }, "processedAt": "2025-01-15T10:30:00Z" } ```` ### Use Cases - **Content repurposing**: Turn videos into blog posts with ready outlines - **SEO research**: Extract keywords and topics from competitor videos - **Academic research**: Analyze video content at scale - **Content planning**: Generate content ideas from video transcripts - **Accessibility**: Create text versions of video content ### PPE Pricing | Event | Description | Suggested Price | |-------|-------------|-----------------| | `video-processed` | One video fully processed | $0.005 | | `transcript-extracted` | Transcript successfully extracted | $0.003 | | `seo-brief-generated` | SEO brief generated | $0.005 | ### Limitations - Transcript extraction depends on YouTube's public caption data - Some videos may not have publicly available transcripts - Auto-generated captions may have lower accuracy - Comment extraction is limited to what's publicly visible on the page - Does not download or store copyrighted video/audio ### Legal/Ethical Use This actor only extracts publicly available metadata and transcripts. It does not download copyrighted video/audio content. Users are responsible for compliance with YouTube's Terms of Service and applicable copyright laws. ### Local Run ```bash cd actors/youtube-transcript-seo-brief apify run --input-file .actor/sample_input.json ``` ### Deploy ```bash cd actors/youtube-transcript-seo-brief apify push ``` ### FAQ **Q: Can it extract transcripts from any video?** A: Only videos with publicly available captions (manual or auto-generated). Private or unlisted videos without captions won't have transcripts. **Q: How accurate are the SEO keywords?** A: Keywords are extracted from title, description, and transcript using frequency analysis. They provide a good starting point for SEO research. **Q: Can I process multiple videos at once?** A: Yes, provide multiple URLs in the `videoUrls` array. Each video is processed sequentially. ### Tags YouTube transcript, video to text, SEO brief, content repurposing, blog outline generator, video SEO, keyword extraction, content marketing, video analysis # Actor input Schema ## `videoUrls` (type: `array`): YouTube video URLs to process. Supports individual videos and playlist URLs. ## `includeComments` (type: `boolean`): Extract top comments for additional context and themes. ## `generateSeoBrief` (type: `boolean`): Generate blog outline, title ideas, keyword themes, and clip suggestions. ## `language` (type: `string`): Preferred transcript language code (e.g., "en", "es"). Falls back to available transcript. ## Actor input object example ```json { "videoUrls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ], "includeComments": false, "generateSeoBrief": true, "language": "en" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "videoUrls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ] }; // Run the Actor and wait for it to finish const run = await client.actor("express_kingfisher/youtube-transcript-seo-brief").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "videoUrls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"] } # Run the Actor and wait for it to finish run = client.actor("express_kingfisher/youtube-transcript-seo-brief").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "videoUrls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ] }' | apify call express_kingfisher/youtube-transcript-seo-brief --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=express_kingfisher/youtube-transcript-seo-brief", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Transcript & SEO Brief Extractor", "description": "Extract transcripts, metadata, and generate SEO content briefs from YouTube videos. Get blog outlines, title ideas, keyword themes, and clip suggestions.", "version": "1.0", "x-build-id": "AKFZ8pJhks6IqCvrx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/express_kingfisher~youtube-transcript-seo-brief/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-express_kingfisher-youtube-transcript-seo-brief", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/express_kingfisher~youtube-transcript-seo-brief/runs": { "post": { "operationId": "runs-sync-express_kingfisher-youtube-transcript-seo-brief", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/express_kingfisher~youtube-transcript-seo-brief/run-sync": { "post": { "operationId": "run-sync-express_kingfisher-youtube-transcript-seo-brief", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "videoUrls" ], "properties": { "videoUrls": { "title": "Video URLs", "maxItems": 20, "type": "array", "description": "YouTube video URLs to process. Supports individual videos and playlist URLs.", "items": { "type": "string" } }, "includeComments": { "title": "Include top comments", "type": "boolean", "description": "Extract top comments for additional context and themes.", "default": false }, "generateSeoBrief": { "title": "Generate SEO brief", "type": "boolean", "description": "Generate blog outline, title ideas, keyword themes, and clip suggestions.", "default": true }, "language": { "title": "Preferred language", "type": "string", "description": "Preferred transcript language code (e.g., \"en\", \"es\"). Falls back to available transcript.", "default": "en" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```