When confronted with massive data streams. summarizing data with dimension reduction methods such as PCA raises theoretical and algorithmic pitfalls. A principal curve acts as a nonlinear generalization of PCA. and the present paper proposes a novel algorithm to automatically and sequentially learn principal curves from data streams. https://smokeaers.shop/product-category/scrappers/