Scraping Academic Conference Acceptance Rates with Python

Academic conference acceptance rates are a key metric for researchers choosing where to submit. This data is scattered across individual conference sites — let's build a comprehensive tracker. Why Acceptance Rates Matter A conference's acceptance rate signals prestige, competition level, and review rigor. Tracking over time reveals which fields are growing and where new researchers have the best odds. Scraping Conference Data import requests from bs4 import BeautifulSoup import pandas as pd import re API_KEY = " YOUR_SCRAPERAPI_KEY " # Get one at https://www.scraperapi.com?fp_ref=the52 def scrape_conference_stats ( conference_url ): proxy_url = f " http://api.scraperapi.com?api_key= { API_KEY } &url= { conference_url } " response = requests . get ( proxy_url , timeout = 60 ) soup = BeautifulSoup ( response . text , ' html.parser ' ) text = soup . get_text () stats = {} submissions_match = re . search ( r ' (\d+)\s*submissions? ' , text , re . IGNORECASE ) accepted_match = re . search (