Public Directory Scraper
US Public Records Extraction

Technical Requirements

• •US Residential Proxies: You'll need reliable US-based residential IPs to handle georestrictions. Datacenter proxies won't work.
• •Advanced Request Handling: Handle JavaScript challenges, TLS fingerprinting, and verification processing. Standard HTTP libraries like requests may not work reliably.
• •Browser Automation: Use headless browsers (Playwright, Puppeteer, or Selenium) with proper fingerprinting for browser-like rendering.
• •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 requests and BeautifulSoup. Note: This won't work without proper proxy and advanced request handling setup.

import requests
from bs4 import BeautifulSoup

# You'll need US residential proxies and advanced request handling
target_url = "https://example-directory.com/john-doe"

# Standard requests won't work - you'll get blocked
response = requests.get(target_url)
soup = BeautifulSoup(response.text, "html.parser")

# Extract data (requires proper request handling and rendering)
name = soup.find("h1", id="details-header").text
age = soup.find("h2", id="age-header").text