YouTube Transcript Scraper
Turn public YouTube video URLs into transcript text and video metadata for research, analysis, and content workflows.
Descripción general
Turn public YouTube videos into analysis-ready text without separating the spoken content from its surrounding context. The result pairs each available transcript with the video title, description, channel, publication date, and visible engagement counts, so a research or content team can work from one consistent row per submitted video.
This data is useful wherever watching and manually transcribing videos would slow down a larger workflow. It gives analysts text they can search, classify, summarize, compare, or load into a knowledge base while preserving enough video context to trace every passage back to its source.
Data notes
The data is collected from public YouTube video pages and their accessible transcript or caption content. Each row corresponds to one submitted video URL. Transcript availability depends on the video: private, removed, restricted, or caption-free videos may not provide transcript text, and the Error value can help separate those cases from successful rows.
View Count and Like Count are text snapshots observed at collection time and may change later. Published Time preserves the source's ISO 8601 timestamp, while Published Date provides the same publication day as a date-only value. Transcript is combined into one text value rather than split into timestamped caption segments. Long descriptions and transcripts can therefore be much larger than the other fields.
What the results look like
Each record represents one submitted YouTube video and the transcript and metadata available for it.
| Video title | Channel name | Published date | View count | Like count | Transcript |
|---|---|---|---|---|---|
| How to Scrape Business Data from Google Maps with Octoparse | Cat Cafe Example | Octoparse | 2026-03-06 | 630 | 4 | Hey there, I'm Jackson, the new icon of Octoparse, your friendly helper for quick and easy web scraping. |
| Rick Astley - Never Gonna Give You Up | Rick Astley | 2025-01-15 | 1.2B | 18M | We're no strangers to love… |
Other available fields include Video URL, Video description, Channel URL, Published time, and Error.
Use cases
- For topic and message analysis, compare Transcript with Video Title and Video Description to see how closely the spoken content matches the video's framing.
- For creator research, group records by Channel Name and use Published Date to study themes or publishing patterns over time.
- For content repurposing, use Transcript as the working text for summaries, briefs, article outlines, quotation review, or internal search.
- For dataset quality checks, review Error alongside Video URL and Transcript to identify videos that need replacement, exclusion, or a separate manual review.
Alcance y límites
Each run accepts 1 to 100,000 public YouTube video URLs; transcript text is returned only when captions or a transcript are accessible for the video.
- Adecuada para
- Use it when you need transcript text and core video metadata for one or more public YouTube videos.
- Use it to prepare video text for content research, summarization, topic analysis, or searchable datasets.
- No usar para
- Do not use it for private, removed, region-restricted, or age-restricted videos that are not publicly accessible.
- Do not use it when a video has no accessible captions or transcript, or when you need audio or video file downloads.
Gestión de fallos
Comportamiento de fallos y reintentos declarado por el desarrollador. Recomendamos incluirlo en tu prompt del sistema al integrar.
- 1If a run fails, retry the same small URL set once; if it fails again, split a large batch into smaller groups.
- 2If a record has no transcript, check the Error message and confirm that the video is public and has accessible captions or transcript data.
Entrada
Parámetros necesarios para llamar a esta App, generados a partir del input.schema del manifest.json.
- YouTube video URLs
video_urlsObligatorioarray<string>Public YouTube video page URLs whose transcript and metadata you want to collect. Provide between one and 100,000 URLs per run.Cantidadhasta 100000 elementosEjemplo["https://www.youtube.com/watch?v=YhbIzV6YoEo&t=7s"] - Language
languageOpcionalstringOptional. Passed to the source template field "Language". Example: one of: en,de,ja,ko,zh-Hans,zh-Hant.
Salida
Estructura de campos de un único registro, generada a partir del output.schema del manifest.json.
- Transcript
transcriptstringAvailable transcript or caption text for the video, combined into one text value.EjemploHey there, I'm Jackson, the new icon of Octoparse, your friendly helper for quick and easy web scraping. Today, we said you're going to explore one of my favorite templates in Octoparse, the Google Maps Listing Scraper template. It offers a super easy way to collect key location data, including business names, ratings, price ranges, categories, addresses, latitude and longitude, opening status, websites, phone numbers, and tags. Together, these data points paint a complete picture of the local b - All transcript Time
all_transcript_TimestringValue of the source template column "All_transcript_Time".Ejemplo[{"text": "Hey there, I'm Jackson, the new icon of", "start": 0.0, "duration": 4.72}, {"text": "Octoparse, your friendly helper for", "start": 2.76, "duration": 4.16}, {"text": "quick and easy web scraping.", "start": 4.72, "duration": 4.12}, {"text": "Today, we said you're going to explore", "start": 6.92, "duration": 3.6}, {"text": "one of my favorite templates in", "start": 8.84, "duration": 3.76}, {"text": "Octoparse, the Google Maps Listing", "start": 10.52, "duration": 4.68}, {"text": "Scr - Video URL
video_urlstringYouTube video page address submitted for transcript collection.Ejemplohttps://www.youtube.com/watch?v=YhbIzV6YoEo&t=7s - Error
errorstringCollection issue reported for this video; blank when the sampled record completed normally.Ejemplo
Datos de ejemplo
Generado a partir de output.schema. Los campos sin valor de ejemplo usan marcadores de estructura.
{
"transcript": "Hey there, I'm Jackson, the new icon of Octoparse, your friendly helper for quick and easy web scraping. Today, we said you're going to explore one of my favorite templates in Octoparse, the Google Maps Listing Scraper template. It offers a super easy way to collect key location data, including business names, ratings, price ranges, categories, addresses, latitude and longitude, opening status, websites, phone numbers, and tags. Together, these data points paint a complete picture of the local b",
"all_transcript_Time": "[{\"text\": \"Hey there, I'm Jackson, the new icon of\", \"start\": 0.0, \"duration\": 4.72}, {\"text\": \"Octoparse, your friendly helper for\", \"start\": 2.76, \"duration\": 4.16}, {\"text\": \"quick and easy web scraping.\", \"start\": 4.72, \"duration\": 4.12}, {\"text\": \"Today, we said you're going to explore\", \"start\": 6.92, \"duration\": 3.6}, {\"text\": \"one of my favorite templates in\", \"start\": 8.84, \"duration\": 3.76}, {\"text\": \"Octoparse, the Google Maps Listing\", \"start\": 10.52, \"duration\": 4.68}, {\"text\": \"Scr",
"video_url": "https://www.youtube.com/watch?v=YhbIzV6YoEo&t=7s",
"error": "",
"inputLanguage": "en",
"outputLanguage": "en",
"video_title": "How to Scrape Business Data from Google Maps with Octoparse | Cat Cafe Example",
"video_intro": "Learn how to scrape business data from Google Maps using Octoparse in this step-by-step web scraping tutorial. If you're looking for an easy way to collect local business listings for lead generation, this guide will show you how to do it without coding.\\n\\nIn this video, you'll learn how to use Octoparse as a Google Maps scraper to extract valuable business information such as company names, addresses, phone numbers, websites, and more. With no-code web scraping, you can automate data collectio",
"channel_name": "Octoparse",
"channel_url": "http://www.youtube.com/@Octoparsewebscraping",
"published_at": "2026-03-06T10:23:22+00:00",
"published_date": "2026-03-06",
"view_count": "720",
"like_count": "4"
}Integración
Esta App se puede integrar mediante MCP, API, SDK o exportación de archivos — todos los canales comparten las mismas capacidades y precios. Cada solicitud se autentica con la cabecera Authorization: Bearer usando una API Key (de larga duración, creada en la consola de Data Hub); los clientes MCP también pueden iniciar sesión con OAuth sin clave. Más opciones como CLI y Skill están en camino. Esta App se ejecuta de forma asíncrona y se puede cancelar a mitad de camino: Tras la cancelación, la ejecución se detiene. Los registros ya entregados se conservan y se facturan.
Con MCP (Model Context Protocol) puedes llamar a esta App directamente desde clientes de IA como Claude y Cursor. Elige tu cliente y el modo de autenticación, y copia la configuración de abajo.
Configuración del cliente
Sustituye el valor tras Bearer por tu API Key de larga duración. Funciona en cualquier cliente, CI o entorno sin interfaz.
{
"mcpServers": {
"octoparse_datahub": {
"type": "http",
"url": "https://mcp-v2.octoparse.com?pin=YiJacobJohnRaku/youtube-transcript-scraper",
"headers": { "Authorization": "Bearer <YOUR_API_KEY>" }
}
}
}Deja que la IA lo configure por ti
¿No quieres editar configuraciones a mano? Copia el prompt de instalación y pégalo en cualquier cliente de IA: completará la configuración a su manera. (El prompt le pide a la IA que te solicite tu API Key, de modo que las credenciales nunca queden en el historial de chat ni en configuraciones compartidas.)
detail.access.mcp.composeHint
Precios
Se cobra según el número de registros devueltos correctamente. Las ejecuciones fallidas no se cobran.
Los distintos eventos de facturación se acumulan de forma independiente. Consulta cada elemento para más detalles. Las ejecuciones fallidas no se cobran.
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