How to Build an Earnings Call Transcript Analyzer

How to Build an Earnings Call Transcript Analyzer Earnings calls contain signals that move stock prices — hedging language, forward guidance changes, and sentiment shifts. Most investors read transcripts manually. We'll build a Python tool that scrapes transcripts and extracts actionable signals automatically. The Value of Automated Transcript Analysis When a CEO shifts from "we expect strong growth" to "we anticipate headwinds," that language change predicts stock movement. NLP can detect these shifts across hundreds of companies simultaneously — something no human analyst can do. Scraping Earnings Transcripts Several sites publish free earnings call transcripts. We'll build a scraper that collects them systematically using ScraperAPI for reliable proxy rotation: import requests from bs4 import BeautifulSoup import re SCRAPER_API_KEY = " YOUR_KEY " def scrape_transcript ( url ): response = requests . get ( " http://api.scraperapi.com " , params = { " api_key " : SCRAPER_API_KEY , " ur