ScrapeCon 2024 - A Blueprint for Building a Reliable Dataset | Bright Data
Crafting a dependable dataset is more than just collecting data; it's about ensuring its quality, structure, and adaptability.
Discover advanced methodologies and strategies to meticulously curate datasets, incorporating AI-driven schema creation for optimal organization and efficiency.
In this session, we will cover:
-AI-Driven Schema Creation: Define data structure, settings, and parameters.
-Sample Review: A systematic approach to reviewing data samples.
-Dataset Refresh & Export: Techniques for updating datasets and various export methods.
-Data Validation: Set rules to guarantee data accuracy and consistency.
-Adapting to Changes: Strategies for adjusting to website structural shifts.
-Reparse Techniques: Methods to reanalyze and adjust data for enhanced flexibility.
