Challenge
Commentary records spanned many matches and dynamic pages. The pipeline had to preserve order, handle missing fields, and continue safely across a very large run.
Approach
We built a resumable Python extractor with pagination controls, normalization, deduplication, and checkpoints so interrupted jobs could restart without losing progress.
What changed
- One million commentary records were normalized for downstream use.
- Checkpointing prevented costly full-run restarts.
- Deduplication and validation improved confidence in the final dataset.