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CricketLogic vs scraping ESPNcricinfo
Short answer: CricketLogic loads structured, licensed Cricsheet ball-by-ball data you can legally analyse offline; scraping ESPNcricinfo gives you brittle HTML that breaks on layout changes and violates most sites’ terms.
Side by side
| CricketLogic | Scraping ESPNcricinfo | |
|---|---|---|
| Data source | Structured Cricsheet YAML (ball-by-ball) | Rendered HTML pages |
| Stability | Stable schema | Breaks whenever the site markup changes |
| Granularity | Every delivery | Whatever a scorecard exposes |
| Legality / terms | Open data intended for analysis | Usually against site terms of service |
| Offline use | Full warehouse on disk | Requires re-scraping |
| Maintenance | Downloader tracks cricsheet.org | Constant selector upkeep |
Choose CricketLogic when
- ✓Delivery-level analysis
- ✓Reproducible datasets
- ✓Anything you run more than once
Choose Scraping ESPNcricinfo when
- →You need a stat that only ESPNcricinfo publishes
- →A single ad-hoc lookup
The honest take
Scraping ESPNcricinfo is brittle and typically violates its terms of service. Cricsheet publishes ball-by-ball data specifically for analysis, and CricketLogic turns it into a queryable warehouse.
Last updated 2026-07-02 · CricketLogic capabilities verified against README + core.py · Source: https://github.com/cricketlogic/cricketlogic