Web Scraping & Bots · レッスン

堅牢な選択のためのXPath

XMLおよびHTMLドキュメントを移動する強力な言語XPathを学び、非常に具体的なデータ取得を可能にします。

レッスン 3/411 ステップ

「堅牢な選択のためのXPath」はCoddyKit上の無料Web Scraping & Botsレッスンです。これはレッスン3/4です。下記で完全なレッスンを無料で読むことができます。その後、ブラウザ内の組み込みコードエディタと24時間対応のAIチューターでハンズオン演習できます。これはWeb Scraping & Bots学習パスの一部であり、ウェブとCoddyKitアプリ全体で進捗が同期されます。 Web Scraping & Botsコースには全4レッスンが含まれています。

このレッスンの一部はまだ翻訳されておらず、英語で表示されています。

What is XPath?

Welcome to XPath! It stands for XML Path Language, and it's a powerful tool for navigating and selecting nodes in XML and HTML documents.

Think of it as a specialized language for finding specific pieces of information within a web page's structure.

XPath is incredibly flexible for complex selections.
It allows navigation in any direction (up, down, sideways).
It's essential for robust data extraction.

XPath & the Document Tree

Before diving into syntax, let's understand how XPath "sees" a document. It views HTML/XML as a tree structure.

Each element, attribute, and even text is a "node" in this tree.
XPath expressions are like directions, guiding you from the root of the tree to the specific nodes you want to find.

This tree model allows for precise, hierarchical navigation.

Select by Tag Name

The simplest way to select elements is by their tag name. We use // to select elements anywhere in the document, or / for direct children.

For example, //h1 selects all <h1> elements.

We'll use Python's lxml library for our examples.

from lxml import html

html_doc = """
<html>
<body>
  <h1>My Product Page</h1>
  <div class="product-list">
    <h2>Product A</h2>
  </div>
</body>
</html>
"""

tree = html.fromstring(html_doc)
# Select all h1 tags
results = tree.xpath("//h1")

for element in results:
    print(element.text_content())

Targeting Elements by Attribute

Often, you need to select elements based on their attributes, like id or class. XPath uses predicates ([]) for this.

Use @attribute to refer to an attribute. For example, //div[@class='product-card'] selects all <div> elements with class="product-card".

from lxml import html

html_doc = """
<html>
<body>
  <div class="product-card" id="p1">
    <h2>Product A</h2>
  </div>
  <div class="product-card" id="p2">
    <h2>Product B</h2>
  </div>
</body>
</html>
"""

tree = html.fromstring(html_doc)
# Select div elements with class 'product-card'
results = tree.xpath("//div[@class='product-card']")

for element in results:
    print(element.get('id')) # Get the id attribute

Finding Elements by Text

XPath can also find elements based on their visible text content. This is very powerful for locating specific labels or values.

Use text() to refer to the direct text of an element.
Use contains(text(), 'part') to find elements whose text contains a specific substring.

For example, //p[text()='$19.99'] finds a paragraph with that exact price.

from lxml import html

html_doc = """
<html>
<body>
  <p class="price">$19.99</p>
  <p class="price">$29.50</p>
  <span>In Stock!</span>
</body>
</html>
"""

tree = html.fromstring(html_doc)
# Select p elements containing '$19.99'
results = tree.xpath("//p[text()='$19.99']")

for element in results:
    print(element.text_content())

Navigating Up & Down the Tree

XPath lets you move around the document tree. Use / for direct child nodes and // for any descendant.

div/p: Selects <p> elements that are direct children of <div>.
//div//p: Selects <p> elements that are descendants of any <div>, no matter how deep.
/parent::div: Selects the parent <div> of the current node.

from lxml import html

html_doc = """
<html>
<body>
  <div class="product-card">
    <h2>Product A</h2>
    <p class="price">$19.99</p>
  </div>
  <div class="footer">
    <p>Copyright</p>
  </div>
</body>
</html>
"""

tree = html.fromstring(html_doc)
# Find the price within a product-card
results = tree.xpath("//div[@class='product-card']/p[@class='price']")

for element in results:
    print(element.text_content())

Filtering with Positional Predicates

Predicates ([]) can also filter elements based on their position among siblings. This is useful for selecting the first, last, or specific item in a list.

//li[1]: Selects the first <li> element.
//li[last()]: Selects the last <li> element.
//div[position()=2]: Selects the second <div> element.

from lxml import html

html_doc = """
<html>
<body>
  <ul>
    <li>Item One</li>
    <li>Item Two</li>
    <li>Item Three</li>
  </ul>
</body>
</html>
"""

tree = html.fromstring(html_doc)
# Select the second list item
results = tree.xpath("//ul/li[2]")

for element in results:
    print(element.text_content())

Complex Selections with and/or

You can combine multiple conditions within a predicate using and or or to make your selections even more precise.

//a[@href and @class='button']: Selects <a> tags that have both an href attribute AND a class of 'button'.
//p[@class='price' or contains(text(), 'Sale')]: Selects paragraphs with class 'price' OR containing the text 'Sale'.

from lxml import html

html_doc = """
<html>
<body>
  <a href="/link1" class="button">Link 1</a>
  <a href="/link2">Link 2</a>
  <a class="button">Link 3</a>
</body>
</html>
"""

tree = html.fromstring(html_doc)
# Select 'a' tags that have both 'href' and 'class="button"'
results = tree.xpath("//a[@href and @class='button']")

for element in results:
    print(element.text_content())

Practical Extraction: Product Price

Let's put it all together. Imagine you want to extract the price of "Product B" from a list of products. We can combine attribute selection and hierarchy.

We'll first find the specific product card, then navigate to its price element.

from lxml import html

html_doc = """
<html>
<body>
  <div class="product-list">
    <div class="product-card" id="p1"><h2>Product A</h2><p class="price">$19.99</p></div>
    <div class="product-card" id="p2"><h2>Product B</h2><p class="price">$29.50</p></div>
    <div class="product-card" id="p3"><h2>Product C</h2><p class="price">$5.00</p></div>
  </div>
</body>
</html>
"""

tree = html.fromstring(html_doc)
# Find the price of Product B
xpath_exp = "//div[@id='p2']/p[@class='price']"
results = tree.xpath(xpath_exp)

for element in results:
    print(element.text_content())

XPath Challenge

Consider the following HTML snippet:

<div class="container">
  <ul id="main-menu">
    <li>Home</li>
    <li class="active">About Us</li>
    <li>Contact</li>
  </ul>
  <div class="content">
    <p>Welcome!</p>
    <a href="/learn">Learn More</a>
  </div>
</div>

対話的なレッスンで答える

Recap: XPath for Precision

Congratulations! You've learned the fundamentals of XPath, a highly versatile language for navigating and selecting elements in HTML and XML documents.

XPath uses a tree model to represent documents.
You can select elements by tag, attribute, text content, and position.
Predicates [] and operators like and/or allow for incredibly precise targeting.

Mastering XPath will significantly enhance your ability to extract exactly the data you need from complex web pages. Keep practicing!

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よくある質問

「堅牢な選択のためのXPath」レッスンは無料ですか？

はい。「堅牢な選択のためのXPath」の完全なテキストはこのウェブで無料で読めます。インタラクティブに演習し（組み込みコードエディタと24時間対応のAIチューター）、Web Scraping & Botsコースの残りをアンロックするには、CoddyKit PROにアップグレードしてください。 Web Scraping & Botsコースには全4レッスンが含まれています。

「堅牢な選択のためのXPath」で何を学びますか？

XMLおよびHTMLドキュメントを移動する強力な言語XPathを学び、非常に具体的なデータ取得を可能にします。ブラウザで直接実行するハンズオンコードでWeb Scraping & Botsを演習し、24時間対応のAIチューターがレッスンを進める中での質問に答えます。

Web Scraping & Botsを始めるのに経験は必要ですか？

事前経験は必要ありません。CoddyKitのWeb Scraping & Botsは初級者から上級者向けに構成されているため、ここから始めるか最初から始めて、自分のペースで進むことができます。これはレッスン3/4です。

「堅牢な選択のためのXPath」レッスンにはどのくらい時間がかかりますか？

ほとんどのCoddyKitレッスンは約5～10分かかります。各レッスンはコンパクトでインタラクティブなので、着実に進歩し、ウェブとアプリ全体で正確に前回の場所から再開できます。

このWeb Scraping & Botsレッスンでコードを書いて実行できますか？

はい。すべてのWeb Scraping & Botsレッスンに組み込みコードエディタが含まれているため、ブラウザでリアルコードを書いて実行し、即座のAIフィードバックを取得できます。ローカル設定は不要です。

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