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It's a command-line tool to extract HTML elements using an XPath query or CSS3 selector.

Project description

PyPI version Python Versions

scrape cli

It's a command-line tool to extract HTML elements using an XPath query or CSS3 selector.

It's based on the great and simple scraping tool written by Jeroen Janssens.

Installation

You can install scrape-cli using pip:

Using pipx (recommended for CLI tools)

pipx install scrape-cli

Using pip

pip install scrape-cli

Or install from source:

git clone https://github.com/aborruso/scrape-cli
cd scrape-cli
pip install -e .

Requirements

  • Python >=3.6
  • requests
  • lxml
  • cssselect

How does it work?

Using the Test HTML File

In the resources directory you'll find a test.html file that you can use to test various scraping scenarios. Here are some examples:

  1. Extract all table data:
# CSS
scrape -e "table.data-table td" resources/test.html
# XPath
scrape -e "//table[contains(@class, 'data-table')]//td" resources/test.html
  1. Get all list items:
# CSS
scrape -e "ul.items-list li" resources/test.html
# XPath
scrape -e "//ul[contains(@class, 'items-list')]/li" resources/test.html
  1. Extract specific attributes:
# CSS
scrape -e "a.external-link" -a href resources/test.html
# XPath
scrape -e "//a[contains(@class, 'external-link')]/@href" resources/test.html
  1. Check if an element exists:
# CSS
scrape -e "#main-title" --check-existence resources/test.html
# XPath
scrape -e "//h1[@id='main-title']" --check-existence resources/test.html
  1. Extract nested elements:
# CSS
scrape -e ".nested-elements p" resources/test.html
# XPath
scrape -e "//div[contains(@class, 'nested-elements')]//p" resources/test.html
  1. Get elements with specific attributes:
# CSS
scrape -e "[data-test]" resources/test.html
# XPath
scrape -e "//*[@data-test]" resources/test.html
  1. Additional XPath examples:
# Get all links with href attribute
scrape -e "//a[@href]" resources/test.html

# Get checked input elements
scrape -e "//input[@checked]" resources/test.html

# Get elements with multiple classes
scrape -e "//div[contains(@class, 'class1') and contains(@class, 'class2')]" resources/test.html

# Get text content of specific element
scrape -e "//h1[@id='main-title']/text()" resources/test.html

General Usage Examples

A CSS selector query like this

curl -L 'https://en.wikipedia.org/wiki/List_of_sovereign_states' -s \
| scrape -be 'table.wikitable > tbody > tr > td > b > a'

Note: When using both -b and -e options together, they must be specified in the order -be (body first, then expression). Using -eb will not work correctly.

or an XPATH query like this one:

curl -L 'https://en.wikipedia.org/wiki/List_of_sovereign_states' -s \
| scrape -be "//table[contains(@class, 'wikitable')]/tbody/tr/td/b/a"

gives you back:

<html>
 <head>
 </head>
 <body>
  <a href="/wiki/Afghanistan" title="Afghanistan">
   Afghanistan
  </a>
  <a href="/wiki/Albania" title="Albania">
   Albania
  </a>
  <a href="/wiki/Algeria" title="Algeria">
   Algeria
  </a>
  <a href="/wiki/Andorra" title="Andorra">
   Andorra
  </a>
  <a href="/wiki/Angola" title="Angola">
   Angola
  </a>
  <a href="/wiki/Antigua_and_Barbuda" title="Antigua and Barbuda">
   Antigua and Barbuda
  </a>
  <a href="/wiki/Argentina" title="Argentina">
   Argentina
  </a>
  <a href="/wiki/Armenia" title="Armenia">
   Armenia
  </a>
...
...
 </body>
</html>

Text Extraction

You can extract only the text content (without HTML tags) using the -t option, which is particularly useful for LLMs and text processing:

# Extract all text content from a page
curl -L 'https://en.wikipedia.org/wiki/List_of_sovereign_states' -s \
| scrape -t

# Extract text from specific elements
curl -L 'https://en.wikipedia.org/wiki/List_of_sovereign_states' -s \
| scrape -te 'table.wikitable td'

# Extract text from headings only
scrape -te 'h1, h2, h3' resources/test.html

The -t option automatically excludes text from <script> and <style> tags and cleans up whitespace for better readability.

Some notes on the commands:

  • -e to set the query
  • -b to add <html>, <head> and <body> tags to the HTML output
  • -t to extract only text content (useful for LLMs and text processing)

License

MIT

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