How to Scrape Social Blade: The Ultimate Analytics Guide
Learn how to scrape Social Blade for YouTube and Twitch analytics. Extract subscriber growth, view counts, and earnings for market research and vetting.
Anti-Bot Protection Detected
- Cloudflare
- Enterprise-grade WAF and bot management. Uses JavaScript challenges, CAPTCHAs, and behavioral analysis. Requires browser automation with stealth settings.
- Rate Limiting
- Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
- IP Blocking
- Blocks known datacenter IPs and flagged addresses. Requires residential or mobile proxies to circumvent effectively.
- Google reCAPTCHA
- Google's CAPTCHA system. v2 requires user interaction, v3 runs silently with risk scoring. Can be solved with CAPTCHA services.
- WAF
About Social Blade
Learn what Social Blade offers and what valuable data can be extracted from it.
Social Blade is a premier statistics and analytics platform that tracks growth and daily metrics for content creators across major social media networks including YouTube, Twitch, Instagram, Twitter/X, and TikTok. Since its inception in 2008, it has become the gold standard for auditing digital performance, providing a centralized location for users to verify creator authenticity and track global rankings.
The platform aggregates publicly available data into intuitive charts and historical tables, showing a creator's trajectory over days, months, and years. By providing estimated earnings and future projections based on current growth rates, Social Blade offers a deep look into the financial and influential power of millions of digital personalities.
For researchers and marketing professionals, scraping Social Blade is an essential activity for influencer marketing vetting, competitive benchmarking, and trend analysis. It provides the quantitative evidence needed to make data-driven decisions in the creator economy, allowing for the detection of non-organic growth and the identification of rising stars before they reach the mainstream.
Why Scrape Social Blade?
Discover the business value and use cases for extracting data from Social Blade.
Vetting influencer authenticity by identifying artificial subscriber spikes and bot-like behavior
Benchmarking competitor growth rates to optimize social media content strategies
Monitoring market trends across content categories like Gaming, Tech, or Finance
Aggregating lead generation lists for talent management and digital advertising agencies
Analyzing historical data for academic research into the evolution of digital media
Identifying high-growth creators for early-stage investment and sponsorship opportunities
Scraping Challenges
Technical challenges you may encounter when scraping Social Blade.
Aggressive Cloudflare WAF protection that identifies and blocks standard HTTP client headers
Heavy reliance on client-side JavaScript rendering for dynamic charts and daily growth tables
Strict rate limiting thresholds that trigger permanent IP bans for rapid sequential requests
Complex nested HTML structures and frequently updated CSS selectors designed to break scrapers
Dynamic CAPTCHA challenges that appear during navigation to high-traffic profile pages
Scrape Social Blade with AI
No coding required. Extract data in minutes with AI-powered automation.
How It Works
Describe What You Need
Tell the AI what data you want to extract from Social Blade. Just type it in plain language — no coding or selectors needed.
AI Extracts the Data
Our artificial intelligence navigates Social Blade, handles dynamic content, and extracts exactly what you asked for.
Get Your Data
Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why Use AI for Scraping
AI makes it easy to scrape Social Blade without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.
How to scrape with AI:
- Describe What You Need: Tell the AI what data you want to extract from Social Blade. Just type it in plain language — no coding or selectors needed.
- AI Extracts the Data: Our artificial intelligence navigates Social Blade, handles dynamic content, and extracts exactly what you asked for.
- Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
- Bypasses sophisticated Cloudflare and anti-bot protections without manual configuration
- Handles heavy JavaScript rendering for charts and tables using built-in browser engines
- Provides a no-code interface to build complex scrapers for multiple social platforms in minutes
- Supports cloud execution and scheduled runs for consistent, automated daily data tracking
- Easily exports structured analytics data directly to CSV, JSON, or Google Sheets
No-Code Web Scrapers for Social Blade
Point-and-click alternatives to AI-powered scraping
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Social Blade. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.
Typical Workflow with No-Code Tools
Common Challenges
Learning curve
Understanding selectors and extraction logic takes time
Selectors break
Website changes can break your entire workflow
Dynamic content issues
JavaScript-heavy sites often require complex workarounds
CAPTCHA limitations
Most tools require manual intervention for CAPTCHAs
IP blocking
Aggressive scraping can get your IP banned
No-Code Web Scrapers for Social Blade
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Social Blade. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.
Typical Workflow with No-Code Tools
- Install browser extension or sign up for the platform
- Navigate to the target website and open the tool
- Point-and-click to select data elements you want to extract
- Configure CSS selectors for each data field
- Set up pagination rules to scrape multiple pages
- Handle CAPTCHAs (often requires manual solving)
- Configure scheduling for automated runs
- Export data to CSV, JSON, or connect via API
Common Challenges
- Learning curve: Understanding selectors and extraction logic takes time
- Selectors break: Website changes can break your entire workflow
- Dynamic content issues: JavaScript-heavy sites often require complex workarounds
- CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
- IP blocking: Aggressive scraping can get your IP banned
Code Examples
import requests
from bs4 import BeautifulSoup
# Note: Standard requests are likely blocked by Cloudflare WAF.
# You must use a session with realistic browser headers.
url = 'https://socialblade.com/youtube/user/mrbeast'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
'Accept-Language': 'en-US,en;q=0.9'
}
try:
response = requests.get(url, headers=headers)
if response.status_code == 200:
soup = BeautifulSoup(response.text, 'html.parser')
# Extracting the channel name from h1
name = soup.find('h1').text.strip()
# Identifying the stats container
stats = soup.find_all('span', {'style': 'font-weight: 600;'})
print(f'Channel Name: {name}')
for stat in stats:
print(f'Data Point: {stat.text.strip()}')
else:
print(f'Blocked by Cloudflare (Status: {response.status_code})')
except Exception as e:
print(f'An unexpected error occurred: {e}')When to Use
Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.
Advantages
- ●Fastest execution (no browser overhead)
- ●Lowest resource consumption
- ●Easy to parallelize with asyncio
- ●Great for APIs and static pages
Limitations
- ●Cannot execute JavaScript
- ●Fails on SPAs and dynamic content
- ●May struggle with complex anti-bot systems
How to Scrape Social Blade with Code
Python + Requests
import requests
from bs4 import BeautifulSoup
# Note: Standard requests are likely blocked by Cloudflare WAF.
# You must use a session with realistic browser headers.
url = 'https://socialblade.com/youtube/user/mrbeast'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
'Accept-Language': 'en-US,en;q=0.9'
}
try:
response = requests.get(url, headers=headers)
if response.status_code == 200:
soup = BeautifulSoup(response.text, 'html.parser')
# Extracting the channel name from h1
name = soup.find('h1').text.strip()
# Identifying the stats container
stats = soup.find_all('span', {'style': 'font-weight: 600;'})
print(f'Channel Name: {name}')
for stat in stats:
print(f'Data Point: {stat.text.strip()}')
else:
print(f'Blocked by Cloudflare (Status: {response.status_code})')
except Exception as e:
print(f'An unexpected error occurred: {e}')Python + Playwright
import asyncio
from playwright.async_api import async_playwright
async def scrape_socialblade():
async with async_playwright() as p:
# Launching a headed browser to better handle anti-bot signals
browser = await p.chromium.launch(headless=True)
context = await browser.new_context(
user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
)
page = await context.new_page()
# Navigate to a creator profile
await page.goto('https://socialblade.com/twitch/user/ninja', wait_until='networkidle')
# Wait for the statistics headers to render
await page.wait_for_selector('#youtube-stats-header-subs')
data = {
'channel': await page.inner_text('h1'),
'followers': await page.inner_text('#youtube-stats-header-subs'),
'views': await page.inner_text('#youtube-stats-header-views')
}
print(data)
await browser.close()
asyncio.run(scrape_socialblade())Python + Scrapy
import scrapy
class SocialBladeSpider(scrapy.Spider):
name = 'socialblade_top_list'
start_urls = ['https://socialblade.com/youtube/top/100/mostsubscribed']
# Note: Scrapy requires custom middleware or proxies to bypass Cloudflare
def parse(self, response):
# Selecting rows from the top 100 list table
for row in response.css('div[style*="padding: 0px 20px;"]'):
yield {
'rank': row.css('div:nth-child(1)::text').get().strip(),
'grade': row.css('div:nth-child(2) span::text').get(),
'username': row.css('a::text').get(),
'subscribers': row.css('div:nth-child(5)::text').get(),
'views': row.css('div:nth-child(6)::text').get()
}
# Handle pagination if more pages exist
# Social Blade typically uses a direct URL structure like /top/100/mostsubscribed/page/2Node.js + Puppeteer
const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
puppeteer.use(StealthPlugin());
(async () => {
const browser = await puppeteer.launch({ headless: true });
const page = await browser.newPage();
// Using Stealth plugin to reduce chance of Cloudflare block
await page.goto('https://socialblade.com/instagram/user/cristiano', { waitUntil: 'networkidle2' });
const results = await page.evaluate(() => {
const header = document.querySelector('h1')?.innerText;
const followers = document.querySelector('#youtube-stats-header-subs')?.innerText;
return { header, followers };
});
console.log('Scraped Data:', results);
await browser.close();
})();What You Can Do With Social Blade Data
Explore practical applications and insights from Social Blade data.
Influencer Fraud Detection
Marketing agencies use growth data to spot creators who purchase fake followers by flagging non-organic data spikes.
How to implement:
- 1Scrape daily subscriber growth for a target influencer list for 90 days.
- 2Analyze the data for sudden, massive spikes that don't align with content releases.
- 3Check for 'stair-step' patterns where followers jump and then remain flat.
- 4Compare growth rates with industry averages for creators in the same niche.
Use Automatio to extract data from Social Blade and build these applications without writing code.
What You Can Do With Social Blade Data
- Influencer Fraud Detection
Marketing agencies use growth data to spot creators who purchase fake followers by flagging non-organic data spikes.
- Scrape daily subscriber growth for a target influencer list for 90 days.
- Analyze the data for sudden, massive spikes that don't align with content releases.
- Check for 'stair-step' patterns where followers jump and then remain flat.
- Compare growth rates with industry averages for creators in the same niche.
- Competitive Content Benchmarking
Content creators monitor rival view counts to determine which specific video topics are currently trending.
- Track daily view counts for the top 10 competitors in a specific category.
- Correlate peak view days with specific video upload dates and titles.
- Calculate the average 'views-per-subscriber' ratio to measure audience engagement.
- Identify viral topics and adapt them for your own content calendar.
- Talent Discovery for Agencies
Talent managers identify high-potential 'rising stars' before they hit the mainstream to secure early partnerships.
- Scrape the 'Top 100' lists for niche categories daily.
- Filter for accounts with low total subscribers but high monthly growth percentage.
- Monitor these accounts for sustained week-over-week growth acceleration.
- Flag creators who enter the 'Social Blade Rank' top 50,000 for immediate outreach.
- Ad Revenue Prediction
Media buyers estimate potential return on investment (ROI) for sponsoring specific creators based on earnings data.
- Extract the 'Estimated Monthly Earnings' range for a set of target channels.
- Calculate the average CPM based on the channel's specific niche (e.g., Tech vs. Lifestyle).
- Cross-reference view growth with historical ad rate trends for the current quarter.
- Present a projected ROI report to brand stakeholders before committing budget.
- Brand Safety Auditing
Brands ensure creator stability by analyzing historical data for previous account bans or major engagement drops.
- Scrape the full 3-year historical growth table for a potential brand partner.
- Identify periods of negative growth or deleted videos which may indicate controversy.
- Analyze the 'Social Blade Grade' history for consistent performance levels.
- Validate creator claims about audience reach against actual daily statistics.
Supercharge your workflow with AI Automation
Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.
Pro Tips for Scraping Social Blade
Expert advice for successfully extracting data from Social Blade.
Use high-quality residential proxies to avoid IP-based blocks and rotation detection.
Incorporate the Playwright or Puppeteer Stealth plugin to mask headless browser signatures.
Scrape during off-peak hours (midnight EST) when site traffic and bot sensitivity are lower.
Set a randomized sleep interval of 10-25 seconds between requests to simulate human behavior.
Target the 'Daily Statistics' table specifically to build a robust time-series growth database.
Always include a referer header pointing to the Social Blade homepage to look like a natural visitor.
Testimonials
What Our Users Say
Join thousands of satisfied users who have transformed their workflow
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
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Frequently Asked Questions About Social Blade
Find answers to common questions about Social Blade