Scraping Influencer Engagement Rates Across Platforms with Python

Scraping Influencer Engagement Rates Across Platforms with Python Influencer marketing is a $21B industry, but choosing the right influencer is guesswork. Follower counts lie — engagement rates tell the truth. Let's build a cross-platform influencer analyzer. What Metrics Matter Engagement rate — (likes + comments) / followers Posting consistency — frequency and timing Audience authenticity — comment quality signals Cross-platform presence — same creator, different audiences Setup import requests from bs4 import BeautifulSoup import json import re from datetime import datetime from statistics import mean PROXY_URL = " https://api.scraperapi.com " API_KEY = " YOUR_SCRAPERAPI_KEY " Social platforms fight scraping aggressively. ScraperAPI handles the evolving anti-bot measures. Scraping Public Profile Metrics def scrape_instagram_profile ( username ): params = { " api_key " : API_KEY , " url " : f " https://www.instagram.com/ { username } / " , " render " : " true " } response = requests