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YouTube Transcript Scraper

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

データ収集Social MediaYouTubeVideos
開発者
YiJacobJohnRaku
料金
$0.001 / 件
最終更新
2026-10-10

概要

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.

適用範囲と境界

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.

  • 適している用途
  • 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.
  • 適さない用途
  • 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.

失敗時の処理

開発者が宣言した失敗時と再試行の動作です。連携時にはシステムプロンプトに含めることをおすすめします。

  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.

入力

この App の呼び出しに必要なパラメータで、manifest.json の input.schema から生成されています。

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

出力

1 件のレコードのフィールド構造で、manifest.json の output.schema から生成されています。

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

サンプルデータ

output.schema から生成したサンプルです。サンプル値のないフィールドには構造上のプレースホルダーを使用しています。

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"
}

連携方法

この App は MCP、API、SDK、ファイルエクスポートのいずれでも連携でき、どのチャネルも同じ能力と料金を共有します。すべてのリクエストは Authorization: Bearer ヘッダーで認証し、認証情報には API Key（長期有効。Data Hub コンソールで作成）を使用します。MCP クライアントは OAuth によるキー不要のログインにも対応しています。CLI や Skill など、さらに多くの連携方法も準備中です。 この App は非同期で実行され、途中でキャンセルできます：キャンセル後、実行は停止します。納品済みのレコードは保持され、課金対象になります。

MCP（Model Context Protocol）を使うと、Claude や Cursor などの AI クライアントからこの App を直接呼び出せます。クライアントと認証方式を選び、下の設定をコピーしてください。

クライアント設定

Bearer の後の値を長期有効な API Key に置き換えてください。あらゆるクライアント、CI、ヘッドレス環境で利用できます。

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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AI に設定を任せる

設定を手作業で編集したくない場合は、インストールプロンプトをコピーして任意の AI クライアントに貼り付けてください。AI が自分のやり方でセットアップを完了します（プロンプトは AI があなたに API Key を尋ねる形になっているため、認証情報がチャット履歴や共有設定に残りません）。

detail.access.mcp.composeHint

料金

returned video record

正常に返されたレコードの件数に応じて課金されます。失敗した実行には課金されません。

$0.001/ 件

複数の課金イベントはそれぞれ独立して累計されます。詳細は各項目をご覧ください。失敗した実行には課金されません。

Credits を確認

今すぐ試す

パラメータを入力して実行してください。結果は実際の呼び出しによるものです。

サンプル
パラメータは送信前に input.schema で検証されます
$0.001 / 件