Skip to main content

Base library for scrapy's ItemLoader

Project description

PyPI Version Supported Python Versions CI Status Coverage report Documentation Status

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.

Contributing

All contributions are welcome!

  • If you want to review some code, check open Pull Requests here

  • If you want to submit a code change

    • File an issue here, 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

itemloaders-1.1.0.tar.gz (18.4 kB view details)

Uploaded Source

Built Distribution

itemloaders-1.1.0-py3-none-any.whl (11.4 kB view details)

Uploaded Python 3

File details

Details for the file itemloaders-1.1.0.tar.gz.

File metadata

  • Download URL: itemloaders-1.1.0.tar.gz
  • Upload date:
  • Size: 18.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for itemloaders-1.1.0.tar.gz
Algorithm Hash digest
SHA256 21d81c61da6a08b48e5996288cdf3031c0f92e5d0075920a0242527523e14a48
MD5 e07a959ae639d9bc816a212c0199d03b
BLAKE2b-256 173807db5e6ebdbe7acec2341fb65603fe4639431aa0133748156368f17a6c8e

See more details on using hashes here.

Provenance

File details

Details for the file itemloaders-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: itemloaders-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 11.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for itemloaders-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c8c82fe0c11fc4cdd08ec04df0b3c43f3cb7190002edb517e02d55de8efc2aeb
MD5 076b190c464c5e0cfc6e3273b7582674
BLAKE2b-256 9a98d03afe36d01b1adf03435bb306d0e7f87d498c94ba8db5290f716b350bb8

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page