本文へ移動
cccskills
無料GitHub で公開

youtube-batch-transcript-extractor-api-skill

This skill helps users automatically extract YouTube video transcripts and metadata in batch via the BrowserAct API. The Agent should proactively apply this skill when users express needs like batch extract full transcripts from YouTube videos for specific keywords, scrape YouTube subtitles for a list of videos, get batch video metadata and likes counts for analysis, automate YouTube search and subtitle extraction, collect multiple video transcripts published this week, download bulk YouTube video subtitles without writing crawler scripts, build a dataset of transcripts from top YouTube videos, extract YouTube video URLs and publisher info in batch, gather full video content for AI summarization pipelines, monitor recent YouTube videos and extract their transcripts, batch retrieve structured subtitle data for media research, extract transcripts from trending YouTube content automatically.

browser-act/skills
インストール方法を見る

含まれるファイル（2）

  • SKILL.md5.5 KB
  • scripts/youtube_batch_transcript_extractor_api.py4.3 KB

SKILL.md（原文）

インストールする前に、エージェントに与えられる指示の中身を確認できます。

YouTube Batch Transcript Extractor API Skill

📖 Introduction

This skill uses the BrowserAct YouTube Batch Transcript Extractor API template to provide users with an automated service for extracting YouTube video transcripts and metadata in batch. Simply by providing search keywords and filters, you can batch extract full video transcripts, likes, and channel metadata without writing crawler scripts.

✨ Features

  1. No hallucinations, ensuring stable and accurate data extraction: Pre-set workflows avoid generative AI hallucinations.
  2. No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
  3. No IP access restrictions or geofencing: No need to deal with regional IP restrictions.
  4. Faster execution: Tasks execute faster compared to pure AI-driven browser automation solutions.
  5. High cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of tokens.

🔑 API Key Guide Process

Before running, you must check the BROWSERACT_API_KEY environment variable. If it is not set, do not take any other actions; you should request and wait for the user to provide it collaboratively. The Agent must inform the user at this time:

"Since you have not yet configured the BrowserAct API Key, please go to the BrowserAct Console to get your Key first."

🛠️ Input Parameters

When calling the script, the Agent should flexibly configure the following parameters based on user needs:

  1. KeyWords

    • Type: string
    • Description: The keyword to search for on YouTube.
    • Example: OpenClaw, AI Automation

  2. Upload_date

    • Type: string
    • Description: Filter for the upload date of the videos.
    • Optional values: Today, This week, This month, This year.
    • Default value: This week

  3. Datelimit

    • Type: number
    • Description: The number of videos to extract. Adjust as needed.
    • Default value: 5
    • Recommendation: Set a smaller value (1-5) for quick tests and a larger value for bulk extraction.

🚀 Invocation Method (Recommended)

The Agent should execute the following independent script to achieve "one-line command to get results":

# Example invocation
python -u ./scripts/youtube_batch_transcript_extractor_api.py "keywords" "Upload_date" Datelimit

⏳ Execution Status Monitoring

Since this task involves automated browser operations, it may take a long time (several minutes). The script will continuously output timestamped status logs (e.g., [14:30:05] Task Status: running) while running. Agent Notes:

  • While waiting for the script to return results, please keep an eye on the terminal output.
  • As long as the terminal is still outputting new status logs, it means the task is running normally. Please do not mistakenly judge it as a deadlock or unresponsiveness.
  • Only consider triggering the retry mechanism if the status remains unchanged for a long time or the script stops outputting without returning a result.

📊 Data Output Description

After successful execution, the script will parse and print the results directly from the API response. The results include:

  • Video title: The title of the YouTube video.
  • Video URL: The direct link to the original video.
  • Publisher: The name of the channel publishing the video.
  • Channel link: The URL of the publisher's YouTube channel.
  • Video likes count: The number of likes the video has received.
  • Subtitles: The complete extracted transcript/subtitles of the videos.

⚠️ Error Handling & Retry

If an error is encountered during the execution of the script (such as network fluctuation or task failure), the Agent should follow the logic below:

  1. Check the output content:

    • If the output contains "Invalid authorization", it indicates that the API Key is invalid or expired. Do not retry at this time. You should guide the user to recheck and provide the correct API Key.
    • If the output does not contain "Invalid authorization" but the task execution fails (for example, the output starts with Error: or returns an empty result), the Agent should automatically try to execute the script once more.

  2. Retry limits:

    • Automatic retry is limited to once. If the second attempt still fails, stop retrying and report the specific error message to the user.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

ログインしてレビューを書く

同じリポジトリのスキル

概要と使いどころ

1688-product-detail

無料

Extracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1292026年8月24日 更新

airbnb-listing-detail

無料

Fetches complete Airbnb listing details for a given numeric listing ID via the internal GraphQL API, returning title, room type, description, amenities, photos, coordinates, city, house rules, highlights, ratings, review count, bedroom configuration, and property overview. Use when user mentions Airbnb listing details, Airbnb property info, Airbnb room details, get Airbnb listing data, Airbnb amenities list, Airbnb house rules, Airbnb property description, Airbnb detail page scraper, Airbnb rooms detail, Airbnb property page data, Airbnb listing info, fetch Airbnb room details, pull Airbnb listing.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1292026年8月24日 更新

airbnb-search-listing

無料

Extracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page extraction, Airbnb search by destination.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1292026年8月24日 更新

amazon-alexa-qa

無料

Amazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1292026年8月24日 更新

amazon-asin-lookup-api-skill

無料

This skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1292026年8月24日 更新

amazon-best-selling-products-finder-api-skill

無料

This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.

日本語の概要は準備中です。原文の説明を表示しています。

browser-act/skills6,1292026年8月24日 更新

browser-act のスキルをすべて見る

このスキルの問題を報告する