Case Study: Adlede achieves scalable news data extraction for contextual advertising with Zyte API

Extracting news data for contextual advertising

Adlede is a Sweden-based software company that provides contextual advertising, NLP, mood targeting, and brand safety solutions. To power its machine learning-based ad matching, Adlede needed a constant stream of structured news data from hundreds of websites, but maintaining custom in-house scrapers was time-consuming and resource-intensive. It turned to Zyte API with Extraction to avoid writing and fixing website-specific scraping code.

With Zyte, Adlede was able to extract high-quality news data from hundreds of domains more quickly and reliably, including the full text body field that is critical for analysis. Zyte helped the company scale to 200k real-time requests per month, monitor 6+ locations of articles, and save 320 development hours each month. As a result, Adlede could focus on improving its contextual advertising solution instead of maintaining scrapers.

Adlede

Chris Greno

Chief Executive Officer