YouTube Transcript Fetcher
Pricing
$15.00 / 1,000 results
Go to Apify Store
YouTube Transcript Fetcher
3.0 (1)
Pricing
$15.00 / 1,000 results
0
9
9
Last modified
13 hours ago
Pricing
$15.00 / 1,000 results
3.0 (1)
Pricing
$15.00 / 1,000 results
0
9
9
Last modified
13 hours ago
You can access the YouTube Transcript Fetcher programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "oNsWDuo9fo76UhOrM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlmaster~youtube-transcript-fetcher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlmaster-youtube-transcript-fetcher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/crawlmaster~youtube-transcript-fetcher/runs": { "post": { "operationId": "runs-sync-crawlmaster-youtube-transcript-fetcher", "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/crawlmaster~youtube-transcript-fetcher/run-sync": { "post": { "operationId": "run-sync-crawlmaster-youtube-transcript-fetcher", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "url": { "title": "YouTube Watch URL (single-video mode)", "pattern": "^https://(www\\.)?youtube\\.com/watch\\?v=[A-Za-z0-9_-]{11}([&?#].*)?$", "type": "string", "description": "Single-video mode: must be exactly https://www.youtube.com/watch?v=VIDEO_ID" }, "lang": { "title": "Transcript language (ISO 639-1)", "pattern": "^[a-z]{2}$", "type": "string", "description": "Two-letter code like en, nb, fr. Required in single-video mode. Optional in channel mode (used as preferred language; will fall back to each video's default language, then best available)." }, "channel": { "title": "Channel (handle or URL)", "type": "string", "description": "Channel handle or URL, e.g. @taostats or https://www.youtube.com/@taostats or https://www.youtube.com/channel/UC_x5XG1OV2P6uZZ5FSM9Ttw. If provided, channel mode is used." }, "channel_id": { "title": "Channel ID (UC… exact)", "pattern": "^UC[A-Za-z0-9_-]{22}$", "type": "string", "description": "Exact YouTube channel ID (starts with 'UC' and has 24 total characters). You can use this instead of handle/URL if you already know it." }, "max_videos": { "title": "Max videos (channel mode)", "minimum": 1, "maximum": 5000, "type": "integer", "description": "How many videos to fetch from the channel’s uploads (paging supported). Range 1–5000. Default 50." }, "start_date": { "title": "Start date/time (channel mode)", "type": "string", "description": "Optional start boundary for uploads. Accepts 'YYYY-MM-DD' (UTC midnight) or full ISO 8601 (e.g., 2024-01-01T00:00:00Z)." }, "end_date": { "title": "End date/time (channel mode)", "type": "string", "description": "Optional end boundary. Accepts 'YYYY-MM-DD' (inclusive) or full ISO 8601. Plain dates are treated as inclusive internally by adding +1 day." } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for YouTube Transcript Fetcher from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: