Reddit Video Transcript
Under maintenancePricing
from $0.315 / transcript
Reddit Video Transcript captures speech from one public Reddit video post so discussions, commentary, and user-generated clips can be reviewed in text. It provides language detection, timed segments, post metadata, and optional translation into 133 languages. Starting transcript rate: $0.378.
You can access the Reddit Video Transcript programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "Ohf0AzV2g0sSs7M9o" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/truefetch~reddit-video-transcript/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-truefetch-reddit-video-transcript", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/truefetch~reddit-video-transcript/runs": { "post": { "operationId": "runs-sync-truefetch-reddit-video-transcript", "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/truefetch~reddit-video-transcript/run-sync": { "post": { "operationId": "run-sync-truefetch-reddit-video-transcript", "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": [ "videoUrl" ], "properties": { "videoUrl": { "title": "Video URL", "type": "string", "description": "Paste one public Reddit video-post URL to transcribe" }, "translate": { "title": "Translate", "enum": [ "afrikaans", "albanian", "amharic", "arabic", "armenian", "assamese", "aymara", "azerbaijani", "bambara", "basque", "belarusian", "bengali", "bhojpuri", "bosnian", "bulgarian", "catalan", "cebuano", "chichewa", "chinese (simplified)", "chinese (traditional)", "corsican", "croatian", "czech", "danish", "dhivehi", "dogri", "dutch", "english", "esperanto", "estonian", "ewe", "filipino", "finnish", "french", "frisian", "galician", "georgian", "german", "greek", "guarani", "gujarati", "haitian creole", "hausa", "hawaiian", "hebrew", "hindi", "hmong", "hungarian", "icelandic", "igbo", "ilocano", "indonesian", "irish", "italian", "japanese", "javanese", "kannada", "kazakh", "khmer", "kinyarwanda", "konkani", "korean", "krio", "kurdish (kurmanji)", "kurdish (sorani)", "kyrgyz", "lao", "latin", "latvian", "lingala", "lithuanian", "luganda", "luxembourgish", "macedonian", "maithili", "malagasy", "malay", "malayalam", "maltese", "maori", "marathi", "meiteilon (manipuri)", "mizo", "mongolian", "myanmar", "nepali", "norwegian", "odia (oriya)", "oromo", "pashto", "persian", "polish", "portuguese", "punjabi", "quechua", "romanian", "russian", "samoan", "sanskrit", "scots gaelic", "sepedi", "serbian", "sesotho", "shona", "sindhi", "sinhala", "slovak", "slovenian", "somali", "spanish", "sundanese", "swahili", "swedish", "tajik", "tamil", "tatar", "telugu", "thai", "tigrinya", "tsonga", "turkish", "turkmen", "twi", "ukrainian", "urdu", "uyghur", "uzbek", "vietnamese", "welsh", "xhosa", "yiddish", "yoruba", "zulu" ], "type": "string", "description": "Optional target language for the translated transcript. Leave empty to return only the original transcript" } } }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "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 Reddit Video Transcript 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: