August 2017
Intermediate to advanced
500 pages
12h 3m
Japanese
Content preview from PythonとJavaScriptではじめるデータビジュアライゼーション
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136
6 章 Scrapy を使った重量スクレイピング
"place_of_death": "Cambridge , England",
"text": "C\u00e9sar Milstein , Physiology or Medicine, 1984",
"year": 1984
}
このデータのほかに、受賞者の写真（存在する場合）と簡単な人物情報データのスクレイピング
も行います（図
6-1
を参照）。写真と本文テキストを使ってノーベル賞可視化に人物情報を少し追
加します。■
6.1
Scrapy
の準備
Scrapy
は
Anaconda
パッケージ（
1
章を参照）の
1
つなので、既にインストールされているで
しょう。手元になければ、
conda
コマンドラインでインストールします。
$ conda install -c https://conda.anaconda.org/anaconda scrapy
Anaconda
を使っていない場合は、
pip
で簡単にインストールできます
†
。
$ pip install scrapy
Scrapy
をインストールすると、
scrapy
コマンドを使うことができます。他の多くの
Python
ラ
イブラリとは異なり、
Scrapy
はスクレイピングプロジェクトのコンテキスト内のコマンドライン
から起動し、設定ファイル、スクレイピングスパイダー、パイプラインなどで定義するように設計
されています。
startproject
オプションを使って、ノーベル賞スクレイピング用の新しいプロジェ
クトを作成してみましょう。これはプロジェクトフォルダを作成するので、適切な作業ディレクト ...
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