%d0%bf%d0%b0%d1%80%d1%81%d0%b5%d1%80 Datacol %d1%82%d0%be%d1%80%d1%80%d0%b5%d0%bd%d1%82 (1000+ PREMIUM)

«Datacol» в данном контексте — это этап нормализации и записи. Например, в базу данных SQLite или PostgreSQL:

CREATE TABLE torrents (
    id INTEGER PRIMARY KEY,
    title TEXT,
    magnet_link TEXT,
    size_bytes INTEGER,
    seeders INTEGER,
    leechers INTEGER,
    parsed_at TIMESTAMP
);

Create torrent_config.yaml:

source: https://example-torrent-site.com/browse
pagination:
  pattern: "/page/page"
  start: 1
  end: 50
parser:
  name: torrent_list
  items:
    - selector: table#torrent-table tr
      fields:
        name: td:nth-child(2) a
        magnet_link: a[href^="magnet"]
        seeders: td:nth-child(5)
        leechers: td:nth-child(6)
        size: td:nth-child(4)

In traditional terms, parsing is the process of analyzing a string of symbols, either in natural language or computer code. But in the context of a Datacol (Data Collection) environment, parsing becomes industrial. Create torrent_config

A Parser Datacol system is essentially a high-performance scraping and sorting engine. Imagine trying to read every single RSS feed, every DHT (Distributed Hash Table) ping, and every tracker update from hundreds of thousands of torrents simultaneously. A human cannot do this, and a basic script will crash under the load. In traditional terms, parsing is the process of

These parsers are designed to: