How to Detect Sustainability Sentiment Shifts with the Pulsebit API (Python)

How to Detect Sustainability Sentiment Shifts with the Pulsebit API (Python) The Problem As developers, we often find ourselves sifting through a sea of data to gauge sentiment on specific topics, and sustainability is no exception. Historically, scraping news articles and social media posts for sentiment analysis can be a tedious and error-prone process. The constant need to maintain scrapers, handle rate limits, and parse ever-changing HTML structures makes this DIY approach a headache. You want to focus on building valuable insights, not fighting with unreliable data sources. The Solution Enter the Pulsebit API. With just one endpoint, you can access a wealth of sentiment data around sustainability and other topics. The /news_semantic endpoint aggregates news articles, analyzes sentiment, and provides you with structured data, all while saving you from the hassle of DIY scraping. Let’s take a look at a recent Pulsebit API response for sustainability sentiment. The data is particular