How to Build a B2C Lead Qualifier with Social Profile Scraping

Why Qualify Leads with Social Data Not all leads are equal. A signup from a CEO with 50K followers is worth more than an anonymous Gmail address. Social profile data lets you score and prioritize leads automatically, so your sales team focuses on high-value prospects. Lets build a lead qualification engine that enriches contact data with social signals. What We Extract Professional title and company Social following and engagement rates Content themes and interests Activity level and recency Network connections and influence score Setup pip install requests beautifulsoup4 pandas Social platforms have aggressive bot detection. ScraperAPI handles proxy rotation and browser fingerprinting. The Profile Scraper import requests from bs4 import BeautifulSoup import pandas as pd import re from datetime import datetime SCRAPER_API_KEY = " YOUR_KEY " def scrape_social_profile ( platform , username ): urls = { " twitter " : f " https://nitter.net/ { username } " , " github " : f " https://github.