Project: itemloaders

Base library for scrapy's ItemLoader

Project Details

Latest version
1.1.0
Home Page
https://github.com/scrapy/itemloaders
PyPI Page
https://pypi.org/project/itemloaders/

Project Popularity

PageRank
0.004803523829725839
Number of downloads
833591

=========== itemloaders

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itemloaders is a library that helps you collect data from HTML and XML sources.

It comes in handy to extract data from web pages, as it supports data extraction using CSS and XPath Selectors.

It's specially useful when you need to standardize the data from many sources. For example, it allows you to have all your casting and parsing rules in a single place.

Here is an example to get you started::

from itemloaders import ItemLoader
from parsel import Selector

html_data = '''
<!DOCTYPE html>
<html>
    <head>
        <title>Some random product page</title>
    </head>
    <body>
        <div class="product_name">Some random product page</div>
        <p id="price">$ 100.12</p>
    </body>
</html>
'''
loader = ItemLoader(selector=Selector(html_data))
loader.add_xpath('name', '//div[@class="product_name"]/text()')
loader.add_xpath('name', '//div[@class="product_title"]/text()')
loader.add_css('price', '#price::text')
loader.add_value('last_updated', 'today') # you can also use literal values
item = loader.load_item()
item
# {'name': ['Some random product page'], 'price': ['$ 100.12'], 'last_updated': ['today']}

For more information, check out the documentation <https://itemloaders.readthedocs.io/en/latest/>_.

Contributing

All contributions are welcome!

  • If you want to review some code, check open Pull Requests here <https://github.com/scrapy/itemloaders/pulls>_

  • If you want to submit a code change

    • File an issue here <https://github.com/scrapy/itemloaders/issues>_, if there isn't one yet
    • Fork this repository
    • Create a branch to work on your changes
    • Run pre-commit install to install pre-commit hooks
    • Push your local branch and submit a Pull Request