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YouTube Metadata Scraper

Pricing

$19.99/month + usage

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YouTube Metadata Scraper

YouTube Metadata Scraper

Scrape YouTube metadata, transcripts, and comments with proxy fallback and rich logging.

Pricing

$19.99/month + usage

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ScraperX

ScraperX

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2 days ago

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YouTube Metadata Scraper

YouTube Metadata Scraper is a fast, reliable YouTube video metadata extractor that collects structured details from public videos — titles, descriptions, tags, channel info, view/like/comment counts, transcripts, and more. It solves the challenge of gathering complete, analytics-ready video data without the official API, making it a practical YouTube metadata API alternative for marketers, developers, data analysts, and researchers who need to extract YouTube video details at scale. Run it to build trustworthy datasets for SEO, analytics, and automation workflows.

What data / output can you get?

The actor saves each processed video as a structured item with rich fields for analysis and automation.

Data fieldDescriptionExample value
idYouTube video IDdQw4w9WgXcQ
urlVideo URLhttps://www.youtube.com/watch?v=dQw4w9WgXcQ
titleVideo titleRick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)
descriptionVideo descriptionThe official video for “Never Gonna Give You Up” by Rick Astley...
lengthInSecondsVideo length in seconds213
uploadDatetimeUpload date/time2009-10-24T23:57:33-07:00
publish_date_sinceRelative publish date16 years ago
categoryVideo categoryMusic
tagsVideo tags["rick astley", "Never Gonna Give You Up"]
thumbnailThumbnail URLhttps://i.ytimg.com/vi/dQw4w9WgXcQ/hqdefault.jpg
thumbnails_urlsAll discovered thumbnail variants["https://i.ytimg.com/vi/dQw4w9WgXcQ/hqdefault.jpg", "https://i.ytimg.com/vi_webp/dQw4w9WgXcQ/maxresdefault.webp"]
channelIDChannel IDUCuAXFkgsw1L7xaCfnd5JJOw
channelURLChannel URLhttps://www.youtube.com/channel/UCuAXFkgsw1L7xaCfnd5JJOw
channelUsernameChannel username (handle-like)rickastley
channelDisplayNameChannel display nameRick Astley
channelSubscribersSubscriber count4.44M
author_avatar_urlChannel avatar image URLhttps://yt3.ggpht.com/xxx=s176-c-k-c0x00ffffff-no-rj
is_verifiedChannel verification badgetrue
viewCountView count1726805028
likeCountLike count18702878
commentCountComment count2400000
is_live_nowWhether video is livefalse
description_linksUnwrapped URLs from the description["https://linktr.ee/rickastleynever", "https://RickAstley.lnk.to/YTSubID"]
is_comments_offWhether comments are disabledfalse
is_members_onlyWhether video is members-onlyfalse
is_paid_contentWhether video is paid contentfalse
transcriptsTranscripts/captions (plain text or timestamped segments)[{ "language": "EN", "content": "We're no strangers to love ..." }]
commentsTop-level comments with metadata[{ "id": "Ugzge340dBgB75hWBm54AaABAg", "text": "can confirm: he never gave us up", "author": "@YouTube", "likeCount": 153000, "publishedTime": "8 months ago", "replyCount": 960 }]

Bonus: You can export results from Apify in JSON, CSV, or Excel for dashboards, SEO audits, and ML pipelines.

Key features

  • 🔄 Robust proxy fallback & resiliency
    Automatically escalates connection mode during blocks (none → datacenter → residential) with retries to keep runs stable.

  • 🔎 Keyword search with sorting & paging
    Resolve videos from keywords and sort by relevance, upload_date, view_count, or rating. Control breadth with max_results_per_keyword.

  • 🗣️ Transcript & subtitle capture
    Toggle transcript download and choose the format: plain text or timestamps. Include auto-generated English captions and/or non-English tracks.

  • 💬 Comment extraction with limits
    Fetch top-level comments using YouTube’s continuation API with a configurable max_comments per video.

  • 📊 Comprehensive video & channel metadata
    Collect titles, descriptions, categories, tags, counts (views/likes/comments), channel fields (ID, URL, display name, subscribers), and status flags (live, comments off, members-only, paid content).

  • ⚙️ Parallel processing & per-video saves
    Videos are processed concurrently and each result is saved to the dataset as it’s ready, with rich logs for real-time visibility.

  • 🧑‍💻 Developer-friendly & automation-ready
    Built on the Apify platform (Python). Trigger via API, integrate with your Python or Node.js pipelines, and export to JSON/CSV/Excel for downstream analytics.

  • 🔗 Description link extraction
    Unwrap and extract all outgoing links from the video description for off-YouTube analysis.

  • 🛡️ Production-ready logging
    Structured logs summarize every collected row (views, channel, transcripts, comments). The actor also sets key-value store records OUTPUT (results) and SUMMARY (processed/failed counts).

How to use YouTube Metadata Scraper - step by step

  1. 🔐 Sign in to Apify
    Create a free Apify account or log in.

  2. 🔍 Open the actor
    Search for “YouTube Metadata Scraper” in the Apify Store and click Try for free.

  3. 📥 Provide inputs

    • Paste YouTube video URLs or IDs under urls, and/or enter keywords under keywords.
    • Sorting for keyword searches can be set via sort_order.
  4. ⚙️ Configure options

    • Set max_results_per_keyword (1–100).
    • Choose include_transcripts and transcript_format ("text" or "timestamps").
    • Toggle include_english_auto and include_non_english for captions.
    • Set max_comments (0–5000).
    • Leave proxyConfiguration as default to let the actor manage proxy fallback automatically.
  5. ▶️ Start the run
    Click Start. The actor resolves video IDs from URLs and/or keywords, processes them concurrently, and pushes each result to the dataset as it completes.

  6. 🔎 Monitor progress
    Follow logs for per-video summaries (views, channel, transcripts count, comments). OUTPUT and SUMMARY records are written to the key-value store for quick review.

  7. 💾 Export your data
    Download results from the dataset in JSON, CSV, or Excel for SEO audits, enrichment, or analytics stacks.

Pro tip: Trigger runs via the Apify API from Python or Node.js to keep your YouTube metadata datasets fresh on a schedule.

Use cases

Use caseDescription
SEO teams – tag & keyword analysisAnalyze titles, descriptions, tags, and engagement to optimize metadata and content strategy.
Competitor benchmarkingTrack view/like/comment trends and channel subscriber counts over time.
Research & analyticsBuild datasets for trend analysis or academic studies with transcripts and top-level comments.
Data enrichment pipelinesFeed structured YouTube video data into ETL jobs, then export to CSV/Excel for BI dashboards.
Content strategyStudy categories, topics, and audience engagement to inform production.
Link & funnel mappingExtract thumbnail URLs and all description links to map off-site journeys (landing pages, stores).
Automation via APIIntegrate with Python/Node.js via the Apify API to refresh datasets programmatically.

Why choose YouTube Metadata Scraper?

This YouTube metadata scraper tool is built for precision, scale, and automation — without fragile browser hacks.

  • ✅ Accurate, structured outputs: Real fields for videos, channels, transcripts, and comments.
  • 🌍 Multilingual transcripts: Include manual and auto-generated captions (English and non-English).
  • 📈 Scales with your needs: Parallel processing and per-video saving with robust retry logic.
  • 🧑‍💻 Developer access: Integrates easily with Python or Node.js via Apify’s API and exports in JSON/CSV/Excel.
  • 🔒 Ethical by design: Extracts only public metadata from video pages; no login or cookies required.
  • 🧱 More reliable than extensions: Proxy fallback and retries keep jobs stable and production-ready.

In short, it’s a production-grade YouTube video metadata extractor that outperforms brittle alternatives while staying simple to automate.

Yes — when used responsibly. This actor extracts publicly available data from YouTube video pages and does not access private or authenticated content. Follow these guidelines:

  • Scrape only public metadata and respect YouTube’s Terms of Service.
  • Avoid private or copyrighted materials.
  • Ensure your use complies with local data protection laws (e.g., GDPR/CCPA) and your organization’s policies.

Note: YouTube may modify or remove metadata. Always use this tool responsibly.

Input parameters & output format

Example JSON input

{
"urls": [
"https://www.youtube.com/watch?v=dQw4w9WgXcQ"
],
"keywords": [
"best 80s music videos"
],
"sort_order": "relevance",
"max_results_per_keyword": 20,
"max_comments": 20,
"include_transcripts": true,
"transcript_format": "text",
"include_english_auto": false,
"include_non_english": false,
"proxyConfiguration": {
"useApifyProxy": false
}
}

Parameters

FieldTypeRequiredDefaultDescription
urlsarray of stringsNo (provide at least one of urls or keywords)Provide YouTube video URLs or IDs. You can mix URLs and plain keywords; each entry is one target.
keywordsarray of stringsNo (provide at least one of urls or keywords)Search YouTube by keyword(s). Results can be sorted and paged.
sort_orderstring ("relevance","upload_date","view_count","rating")NorelevanceSort keyword search results: relevance, upload date, view count, or rating.
max_results_per_keywordinteger (1–100)No20Maximum number of videos to fetch per keyword (with paging).
max_commentsinteger (0–5000)No20Maximum number of top-level comments to retrieve per video.
include_transcriptsbooleanNotrueToggle to download closed captions and transcripts when available.
transcript_formatstring ("text","timestamps")NotextChoose whether transcripts are returned as plain text or with timestamps.
include_english_autobooleanNofalseEnable to include YouTube's auto-generated English captions.
include_non_englishbooleanNofalseEnable to include transcripts in non-English languages.
proxyConfigurationobjectNo{"useApifyProxy": false}Configure Apify proxies. Leave as default to start without a proxy and allow automatic fallback management.

Note: While none of the fields are strictly required by schema, the run will fail if both urls and keywords are empty.

Example JSON output

{
"id": "dQw4w9WgXcQ",
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"title": "Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)",
"description": "The official video for “Never Gonna Give You Up” by Rick Astley...",
"lengthInSeconds": 213,
"uploadDatetime": "2009-10-24T23:57:33-07:00",
"publish_date_since": "16 years ago",
"category": "Music",
"tags": ["rick astley", "Never Gonna Give You Up", "nggyu"],
"thumbnail": "https://i.ytimg.com/vi/dQw4w9WgXcQ/hqdefault.jpg",
"thumbnails_urls": [
"https://i.ytimg.com/vi/dQw4w9WgXcQ/hqdefault.jpg",
"https://i.ytimg.com/vi_webp/dQw4w9WgXcQ/maxresdefault.webp"
],
"channelID": "UCuAXFkgsw1L7xaCfnd5JJOw",
"channelURL": "https://www.youtube.com/channel/UCuAXFkgsw1L7xaCfnd5JJOw",
"channelUsername": "rickastley",
"channelDisplayName": "Rick Astley",
"channelSubscribers": "4.44M",
"author_avatar_url": "https://yt3.ggpht.com/xxx=s176-c-k-c0x00ffffff-no-rj",
"is_verified": true,
"viewCount": 1726805028,
"likeCount": 18702878,
"commentCount": 2400000,
"is_live_now": false,
"description_links": [
"https://linktr.ee/rickastleynever",
"https://RickAstley.lnk.to/YTSubID"
],
"is_comments_off": false,
"is_members_only": false,
"is_paid_content": false,
"transcripts": [
{
"language": "EN",
"content": "We're no strangers to love ... Never gonna give you up ..."
}
],
"comments": [
{
"id": "Ugzge340dBgB75hWBm54AaABAg",
"text": "can confirm: he never gave us up",
"author": "@YouTube",
"authorChannelId": "UCBR8-60-B28hp2BmDPdntcQ",
"likeCount": 153000,
"publishedTime": "8 months ago",
"replyCount": 960
}
]
}

Fields like channelSubscribers may return "Unknown" when the value isn’t publicly available at the time of extraction.

FAQ

Is there a free tier and how is pricing handled?

Yes. You can start on Apify’s free plan to test the YouTube Metadata Scraper and then upgrade as needed. The actor runs in Apify’s cloud with pay‑as‑you‑go resources or a monthly plan.

Do I need to log in or provide API keys?

No. This tool works with publicly available pages and does not require credentials or the official API.

Can it capture transcripts and subtitles?

Yes. Enable include_transcripts and choose transcript_format as "text" or "timestamps". You can also include auto‑generated English captions and non‑English tracks.

Can I scrape by keyword instead of URLs?

Yes. Provide keywords and set sort_order plus max_results_per_keyword to collect videos from YouTube search automatically.

How many comments can it extract per video?

You control this via max_comments. Set any value from 0 to 5000 to limit top‑level comment retrieval.

What does the output include for comments?

Each comment item includes id, text, author, authorChannelId, likeCount, publishedTime, and replyCount.

Does it handle live videos or members‑only content?

Yes. The output includes is_live_now, is_members_only, and is_paid_content to flag live and gated content.

Can I automate this from Python or Node.js?

Yes. Use the Apify API to trigger runs and export data to JSON/CSV/Excel for integration into your pipelines.

Final thoughts

YouTube Metadata Scraper is built to extract, analyze, and export comprehensive video insights at scale — from titles, tags, and channel fields to transcripts and comments. It’s ideal for marketers, developers, data analysts, and researchers who need a dependable YouTube video info scraper without relying on the official API. Integrate via the Apify API (Python/Node.js), export to JSON/CSV/Excel, and start extracting smarter YouTube intelligence today.

🔗 What are other Youtube scraping tools?

If you want to scrape specific Youtube data, you can use any of the dedicated scrapers below for faster and more targeted results.

🔗 Scraper Name🔗 Scraper Name
📧 YouTube Channel Email Scraper📝 YouTube Transcript Scraper
📞 YouTube Channel Phone Number Scraper📈 YouTube Trending Scraper
💬 YouTube Comments Scraper🧠 YouTube Video Summarizer
📺 YouTube Channel Scraper🎥 YouTube Video Scraper by Hashtag
🗂️ YouTube Metadata Scraper🔍 YouTube Channel Finder
▶️ YouTube Playlist Scraper🔎 YouTube Search Scraper
🧰 YouTube Scraper📝 YouTube Community Posts Scraper
🎥 YouTube Shorts Scraper🎥 YouTube Video Details Scraper