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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/>_.
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
issue here <https://github.com/scrapy/itemloaders/issues>_, if there isn't one yetpre-commit install to install pre-commit hooksFAQs
Base library for scrapy's ItemLoader
We found that itemloaders demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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