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scrapy / itemloaders

Library to populate items using XPath and CSS with a convenient API
BSD 3-Clause "New" or "Revised" License
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=========== 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!