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YouTube Transcript Scraper

Turn public YouTube video URLs into transcript text and video metadata for research, analysis, and content workflows.

DatenerfassungSocial MediaYouTubeVideos
Entwickler
YiJacobJohnRaku
Preise
0,001 $ / Datensatz
Zuletzt aktualisiert
2026-10-10

Übersicht

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 titleChannel namePublished dateView countLike countTranscript
How to Scrape Business Data from Google Maps with Octoparse | Cat Cafe ExampleOctoparse2026-03-066304Hey there, I'm Jackson, the new icon of Octoparse, your friendly helper for quick and easy web scraping.
Rick Astley - Never Gonna Give You UpRick Astley2025-01-151.2B18MWe'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.

Anwendungsbereich & Grenzen

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.

  • Geeignet für
  • 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.
  • Nicht verwenden für
  • 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.

Fehlerbehandlung

Vom Entwickler deklariertes Fehler- und Wiederholungsverhalten. Wir empfehlen, es bei der Integration in Ihren System-Prompt aufzunehmen.

  1. 1If a run fails, retry the same small URL set once; if it fails again, split a large batch into smaller groups.
  2. 2If a record has no transcript, check the Error message and confirm that the video is public and has accessible captions or transcript data.

Eingabe

Parameter, die zum Aufruf dieser App erforderlich sind, generiert aus dem input.schema in der manifest.json.

  • YouTube video URLsvideo_urlsErforderlicharray<string>
    Public YouTube video page URLs whose transcript and metadata you want to collect. Provide between one and 100,000 URLs per run.
    Anzahlbis zu 100000 EinträgeBeispiel["https://www.youtube.com/watch?v=YhbIzV6YoEo&t=7s"]
  • LanguagelanguageOptionalstring
    Optional. Passed to the source template field "Language". Example: one of: en,de,ja,ko,zh-Hans,zh-Hant.

Ausgabe

Feldstruktur eines einzelnen Datensatzes, generiert aus dem output.schema in der manifest.json.

  • Transcripttranscriptstring
    Available transcript or caption text for the video, combined into one text value.
    BeispielHey 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 Timeall_transcript_Timestring
    Value of the source template column "All_transcript_Time".
    Beispiel[{"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 URLvideo_urlstring
    YouTube video page address submitted for transcript collection.
    Beispielhttps://www.youtube.com/watch?v=YhbIzV6YoEo&t=7s
  • Errorerrorstring
    Collection issue reported for this video; blank when the sampled record completed normally.
    Beispiel

Beispieldaten

Aus output.schema erzeugt. Felder ohne Beispielwert verwenden strukturelle Platzhalter.

output.example
{
  "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"
}

Integration

Diese App kann über MCP, API, SDK oder Dateiexport integriert werden — alle Kanäle teilen sich dieselben Fähigkeiten und Preise. Jede Anfrage authentifiziert sich über den Authorization: Bearer-Header mit einem API Key (langlebig, in der Data Hub Konsole erstellt); MCP-Clients können sich zusätzlich per OAuth ohne Key anmelden. Weitere Optionen wie CLI und Skill sind in Vorbereitung. Diese App läuft asynchron und kann zwischendurch abgebrochen werden: Nach dem Abbruch stoppt der Lauf. Bereits gelieferte Datensätze bleiben erhalten und werden abgerechnet.

Über das MCP (Model Context Protocol) können Sie diese App direkt aus KI-Clients wie Claude und Cursor aufrufen. Wählen Sie Ihren Client und den Authentifizierungsmodus und kopieren Sie dann die Konfiguration unten.

Client-Konfiguration

Ersetzen Sie den Wert nach Bearer durch Ihren langlebigen API Key. Funktioniert in jedem Client, in CI und in Headless-Umgebungen.

mcpServers config
{
  "mcpServers": {
    "octoparse_datahub": {
      "type": "http",
      "url": "https://mcp-v2.octoparse.com?pin=YiJacobJohnRaku/youtube-transcript-scraper",
      "headers": { "Authorization": "Bearer <YOUR_API_KEY>" }
    }
  }
}
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Lassen Sie die KI die Einrichtung übernehmen

Sie möchten Konfigurationen nicht von Hand bearbeiten? Kopieren Sie den Installations-Prompt und fügen Sie ihn in einen beliebigen KI-Client ein — er schließt die Einrichtung auf seine eigene Weise ab. (Der Prompt weist die KI an, Ihren API Key bei Ihnen zu erfragen, damit Zugangsdaten nie im Chatverlauf oder in geteilten Konfigurationen landen.)

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Preise

returned video record

Berechnet nach der Anzahl der erfolgreich zurückgegebenen Datensätze. Fehlgeschlagene Läufe werden nicht berechnet.

0,001 $/ Datensatz

Mehrere Abrechnungsereignisse werden unabhängig voneinander kumuliert. Details siehe jeweilige Position. Fehlgeschlagene Läufe werden nicht berechnet.

Credits ansehen

Jetzt ausprobieren

Füllen Sie die Parameter aus und starten Sie — die Ergebnisse stammen aus einem echten Aufruf.

Beispiel
Parameter werden vor dem Absenden gegen input.schema validiert
0,001 $ / Datensatz