🕷️ Social Media

YouTube Scraper — Extract
YouTube Data Automatically

Extract video metadata, channel statistics, comment data, and trending content from YouTube — the world's largest video platform. Our YouTube scraper collects public data including view counts, engagement metrics, subscriber counts, and video transcripts (via auto-captions) — ideal for content research, influencer marketing, and AI training datasets.

Quick Summary: YouTube Scraper

What it does: Automatically extracts structured data from YouTube.
Key data points: video title, description,, channel name, id,, view count, like count, and more.
Top use case: youtube influencer discovery and vetting.
Delivery formats: CSV, Excel, JSON, API, or direct database sync.

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api.datascraper.in/v1/extract/youtube-scraper

const response = await scraper.run({
  platform: 'YouTube',
  format: 'json',
  fields: [
    'video_title_description_',
    'channel_name_id_',
    'view_count_like_count_',
    'video_upload_date',
    'video_category',
  ]
});

// Output (1000s of records generated)
[
  {
    "video_title_description_": "Extracted Data...",
    "channel_name_id_": "Extracted Data...",
    "view_count_like_count_": "Extracted Data...",
    "video_upload_date": "Extracted Data...",
  },
  ...
]

Data You Get

What We Extract From YouTube

Schema Definition

Ready for Export

`"video_title_description_":`	Video title, description, and URL
`"channel_name_id_":`	Channel name, ID, and subscriber count
`"view_count_like_count_":`	View count, like count, and comment count
`"video_upload_date":`	Video upload date and duration
`"video_category":`	Video category and tags
`"thumbnail_image_urls":`	Thumbnail image URLs
`"top_comments_text_author_likes_date_":`	Top comments (text, author, likes, date)
`"playlist_data_title_video_count_views_":`	Playlist data (title, video count, views)
`"channel_total_videos":`	Channel total videos and total view count
`"channel_description":`	Channel description and contact links
`"auto_generated_transcript_captions_text":`	Auto-generated transcript/captions text
`"trending_rank_by_country":`	Trending rank by country and category

★Custom fields & specific attributes available on request.

Use Cases

Why Businesses Use Our YouTube Scraper

YouTube influencer discovery and vetting

Video content gap analysis by keyword

AI training datasets from video transcripts

Brand mention monitoring in video content

Competitor channel growth tracking

Process

How Our YouTube Scraper Works

📋

Share Requirements

Tell us which YouTube pages to target, what fields you need, and how often.

⚙️

We Build the Scraper

Our engineers configure the YouTube Scraper with proxy rotation, anti-bot bypass, and data cleaning.

📦

Receive Clean Data

Structured YouTube data delivered in your preferred format — CSV, JSON, API, or database.

Why DataScraper?

DataScraper vs Building It Yourself

You're too big for manual copy-paste, too small to justify a full scraping infrastructure team. DataScraper is built for exactly that gap.

Feature	Build Yourself	SaaS Tool	✓ DataScraper
Setup Time	2–4 weeks	Minutes	48 hours
Anti-Bot Handling	Manual	Limited	Enterprise proxies
Maintenance	You maintain it	Tool updates break it	We maintain
Cost	$500–2,000/mo dev	$99–499/month	Starts from $20
Data Quality	Variable	Generic	QA verified
Support	None	Email tickets	WhatsApp direct
Delivery Time	Weeks	Hours	48 hours

Anti-Bot Technology

YouTube is One of the Most Aggressively Bot-Protected Sites on the Internet. We Handle It Automatically.

Our infrastructure is purpose-built to bypass Cloudflare, DataDome, PerimeterX, and reCAPTCHA at scale — so you always get clean data, not block pages. 99.2% success rate across all active scrapers.

Rotating residential proxies across 50+ countries

Browser fingerprint randomization (Playwright stealth)

Rate limiting that mimics human browsing behaviour

CAPTCHA bypass (2captcha / AntiCaptcha integration)

Self-healing parsing — site layout changes don't break your feed

What We Handle

Cloudflare Bot ManagementDataDomePerimeterXreCAPTCHA v3ImpervahCaptcha

Never blocked. 99.8% uptime on all production scrapers.

Delivery

Data in Your Preferred Format

📊

CSV / Excel

Ready-to-use spreadsheet

💾

JSON / XML

Structured for developers

🔌

REST API

Real-time endpoint

🗄️

SQL Database

MySQL / PostgreSQL

📋

Google Sheets

Live-updating sheet

☁️

Amazon S3

Cloud storage delivery

Sample Data

See What Your YouTube Data Looks Like

We send a free sample before any payment. Here's what a typical data row looks like — clean, structured, and ready to use.

youtube_sample.json

[
  {
    "video_title_description_and_url": "YouTube — Sample Record #1",
    "channel_name_id_and_subscriber_count": "$49.99",
    "view_count_like_count_and_comment_count": 4.7,
    "source_url": "https://youtube.com/item/12345",
    "scraped_at": "2025-06-28T10:32:00Z"
  },
  { "...": "50–100 records in free sample" }
]

Free sample of 50–100 records provided before payment. No credit card required.

❓ FAQ

Frequently Asked Questions

Everything you need to know about our web scraping services.

Yes. YouTube auto-generates captions for most videos. We extract the auto-caption text as a structured transcript — useful for AI training data, content analysis, sentiment research, and accessibility compliance audits.

We extract: video title, description, tags, category, view count, like count, comment count, upload date, duration, thumbnail URLs, and for channels: subscriber count, total videos, total views, channel description, and contact links.

Yes. We set up scheduled scrapers (daily or weekly) that track specific channels for new uploads, capturing metadata and engagement metrics — alerting you when competitors release new content.

Yes. YouTube's Data API has strict daily quota limits. Our scraping approach bypasses API quotas entirely, enabling large-scale data collection beyond what the official API allows — useful for research datasets requiring millions of records.

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