Social Profile Scraper
Public Profile Data Extraction

Technical Requirements

• •Browser Automation: Use headless browsers (Playwright, Puppeteer, or Selenium) with proper fingerprinting for browser-like rendering and JavaScript execution.
• •Advanced Request Handling: Handle fingerprint checks, header rotation, and TLS fingerprinting. Standard HTTP libraries may not work reliably.
• •Proxy Rotation: Use residential proxies to avoid IP-based rate limiting and blocking.
• •HTML Parsing: Libraries like BeautifulSoup or lxml to extract structured data from the rendered HTML.

Basic Python Example

Here's a simplified example using Python with playwright and BeautifulSoup. Note: This won't work without proper advanced request handling and proxy setup.

from playwright.sync_api import sync_playwright
from bs4 import BeautifulSoup

# You'll need advanced request handling and proxies
target_url = "https://example-aggregator.com/username/johndoe"

with sync_playwright() as p:
    browser = p.chromium.launch(headless=True)
    page = browser.new_page()
    page.goto(target_url)
    
    # Wait for dynamic content
    page.wait_for_selector(".profile-section")
    
    html = page.content()
    soup = BeautifulSoup(html, "html.parser")
    
    # Extract data (requires proper request handling and rendering)
    profiles = soup.find_all("div", class_="profile")
    browser.close()