Este proyecto utiliza Scrapy en Python para extraer datos de una tienda de libros en línea, obteniendo información como título, autor, precio, etc. Los datos se almacenan en tres formatos: JSON, CSV y una base de datos MySQL. El objetivo es automatizar la recolección de datos para su posterior análisis y uso en aplicaciones diversas.
active 2024-06-04 → 2024-06-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-06-04 to 2024-06-04. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.