Earnings Call Transcript Automation
completed
Automated web scraping system extracting financial data and earnings transcripts with OpenAI integration for content generation.
A content pipeline that turns raw earnings call transcripts into summarized, publishable financial intelligence — automatically.
The problem. Financial content teams spend hours reading earnings call transcripts, extracting key points, and summarizing them for social media distribution. The process is manual, slow, and doesn't scale across the number of companies worth covering.
What was built. A Python pipeline that scrapes earnings call transcripts from public sources, sends them through OpenAI's API for summarization and sentiment extraction, and posts formatted results to Twitter/X. The pipeline runs on a schedule and handles rate limiting, transcript format variations, and API failures gracefully.
The outcome. An automated content pipeline that produces financial intelligence posts within hours of an earnings call, at a fraction of the manual effort.
Technologies used
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