# YouTube Transcript AI Suite - Summary, Sentiment & Topics (`wetyr_corporation/youtube-transcript-ai-suite`) Actor Enterprise YouTube intelligence: transcripts plus AI summarization, sentiment analysis, topic extraction, and webhook delivery. Built for content teams and market research. - **URL**: https://apify.com/wetyr\_corporation/youtube-transcript-ai-suite.md - **Developed by:** [WETYR CORPORATION](https://apify.com/wetyr_corporation) (community) - **Categories:** AI, Videos, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 AI Suite - Summary, Sentiment, Topics & Webhooks Enterprise-grade YouTube intelligence. Pulls full transcripts then enriches with AI summaries, sentiment scoring, topic extraction, and real-time webhook delivery. ### What makes this Suite different | Feature | Pro ($25/1k) | **AI Suite (this one)** | |---------|--------------|-------------------------| | Transcripts in 4 formats | yes | yes | | 100+ languages, translation | yes | yes | | Video metadata, residential proxy | yes | yes | | **AI summarization** (TextRank algorithm) | - | **yes** | | **Sentiment scoring** (positive/neutral/negative + numeric score) | - | **yes** | | **Topic & keyword extraction** (top 10 weighted) | - | **yes** | | **Real-time webhook delivery** | - | **yes** | No external AI keys required - everything is computed in-actor with deterministic, lightweight algorithms (no LLM cost). ### Pricing - pay per event | Event | Price | |-------|-------| | Actor start | $0.25 | | Transcript extracted | $0.05 | | AI summary generated | $0.025 | | Sentiment analyzed | $0.015 | | Topics extracted | $0.015 | | Translation | $0.025 | | Webhook delivered | $0.005 | Typical full-feature run on 100 videos: **~$11.50** ### Output ```json { "videoId": "...", "title": "...", "transcriptText": "...", "aiSummary": "Top 6 most important sentences extracted...", "sentiment": { "score": 0.42, "label": "positive", "positiveCount": 23, "negativeCount": 8 }, "topics": [ {"keyword": "marketing", "count": 18, "weight": 0.045}, {"keyword": "growth", "count": 12, "weight": 0.030} ] } ```` ### Use cases - Content team analyzing a competitor's entire channel for trends - Market research over thought-leader video corpus - Building AI products on YouTube knowledge bases - Real-time pipelines via webhook to Slack/CRM/databases - Automated content repurposing (AI summary → blog post) ### Pair with our other YouTube actors | Need | Use | |------|-----| | Plain text only, cheapest | [YouTube Transcript Lite](https://apify.com/wetyr_corporation/youtube-transcript-lite) - $5/1k | | Standard pro features | [YouTube Transcript Pro](https://apify.com/wetyr_corporation/youtube-transcript-scraper-pro) - $25/1k | | Get all videos from a channel first | [YouTube Channel Bulk Scraper](https://apify.com/wetyr_corporation/youtube-channel-bulk-scraper) | ### Built by WETYR Corporation Web scraping and data enrichment APIs for the AI era. [See full portfolio](https://apify.com/wetyr_corporation). # Actor input Schema ## `videoUrls` (type: `array`): List of YouTube URLs or 11-character video IDs. ## `languages` (type: `array`): ISO 639-1 codes in priority order (e.g. en, es, fr). ## `translateTo` (type: `string`): Translate transcripts to this language code via YouTube auto-translation. ## `summaryLength` (type: `string`): How long the AI summary should be. ## `includeSummary` (type: `boolean`): Extract the most important sentences using TextRank-style algorithm. ## `includeSentiment` (type: `boolean`): Score the transcript for positive/negative/neutral tone. ## `includeTopics` (type: `boolean`): Pull the top 10 most important keywords/topics from the transcript. ## `webhookUrl` (type: `string`): POST each enriched transcript to this URL as JSON. Real-time delivery as transcripts complete. ## `proxyConfiguration` (type: `object`): Use Apify residential proxies to avoid YouTube rate limits. ## Actor input object example ```json { "videoUrls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ], "languages": [ "en" ], "translateTo": "", "summaryLength": "medium", "includeSummary": true, "includeSentiment": true, "includeTopics": true, "webhookUrl": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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" ], "languages": [ "en" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wetyr_corporation/youtube-transcript-ai-suite").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"], "languages": ["en"], } # Run the Actor and wait for it to finish run = client.actor("wetyr_corporation/youtube-transcript-ai-suite").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" ], "languages": [ "en" ] }' | apify call wetyr_corporation/youtube-transcript-ai-suite --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wetyr_corporation/youtube-transcript-ai-suite", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Transcript AI Suite - Summary, Sentiment & Topics", "description": "Enterprise YouTube intelligence: transcripts plus AI summarization, sentiment analysis, topic extraction, and webhook delivery. Built for content teams and market research.", "version": "0.1", "x-build-id": "bnmCoRD1KDTcoRawf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wetyr_corporation~youtube-transcript-ai-suite/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wetyr_corporation-youtube-transcript-ai-suite", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wetyr_corporation~youtube-transcript-ai-suite/runs": { "post": { "operationId": "runs-sync-wetyr_corporation-youtube-transcript-ai-suite", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wetyr_corporation~youtube-transcript-ai-suite/run-sync": { "post": { "operationId": "run-sync-wetyr_corporation-youtube-transcript-ai-suite", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "YouTube Video URLs or IDs", "type": "array", "description": "List of YouTube URLs or 11-character video IDs.", "items": { "type": "string" } }, "languages": { "title": "Preferred Languages", "type": "array", "description": "ISO 639-1 codes in priority order (e.g. en, es, fr).", "default": [ "en" ], "items": { "type": "string" } }, "translateTo": { "title": "Translate To Language (optional)", "type": "string", "description": "Translate transcripts to this language code via YouTube auto-translation.", "default": "" }, "summaryLength": { "title": "Summary Length", "enum": [ "short", "medium", "long" ], "type": "string", "description": "How long the AI summary should be.", "default": "medium" }, "includeSummary": { "title": "Generate AI Summary", "type": "boolean", "description": "Extract the most important sentences using TextRank-style algorithm.", "default": true }, "includeSentiment": { "title": "Sentiment Analysis", "type": "boolean", "description": "Score the transcript for positive/negative/neutral tone.", "default": true }, "includeTopics": { "title": "Topic & Keyword Extraction", "type": "boolean", "description": "Pull the top 10 most important keywords/topics from the transcript.", "default": true }, "webhookUrl": { "title": "Webhook URL (optional)", "type": "string", "description": "POST each enriched transcript to this URL as JSON. Real-time delivery as transcripts complete.", "default": "" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Use Apify residential proxies to avoid YouTube rate limits.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```