It's a command-line tool to extract HTML elements using an XPath query or CSS3 selector.
Project description
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:
- 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
- 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
- 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
- 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
- Extract nested elements:
# CSS
scrape -e ".nested-elements p" resources/test.html
# XPath
scrape -e "//div[contains(@class, 'nested-elements')]//p" resources/test.html
- Get elements with specific attributes:
# CSS
scrape -e "[data-test]" resources/test.html
# XPath
scrape -e "//*[@data-test]" resources/test.html
- 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:
-eto set the query-bto add<html>,<head>and<body>tags to the HTML output-tto extract only text content (useful for LLMs and text processing)
Linux 64 bit precompiled binary
If you are looking for precompiled executables for Linux, please refer to the Releases page on GitHub where you can find the latest precompiled binary file.
I have built the scrape-linux-x86_64 precompiled binary, using pyinstaller and this command: pyinstaller --onefile scrape.py.
Once you have built it, it's an executable, and it's possible to use it Linux 64 bit environment.
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