https://github.com/scrapinghub/arche

Analyze scraped data
https://github.com/scrapinghub/arche

data data-analysis data-visualization jupyter pandas python3 scrapy

Last synced: about 1 month ago
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Analyze scraped data

• Host: GitHub
• URL: https://github.com/scrapinghub/arche
• Owner: scrapinghub
• License: mit
• Created: 2019-03-14T19:31:24.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-12-09T18:01:19.000Z (about 5 years ago)
• Last Synced: 2024-09-27T20:05:33.071Z (3 months ago)
• Topics: data, data-analysis, data-visualization, jupyter, pandas, python3, scrapy
• Language: Python
• Homepage: https://arche.readthedocs.io/
• Size: 27.9 MB
• Stars: 47
• Watchers: 16
• Forks: 19
• Open Issues: 27
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.md
  • License: LICENSE

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README

        
# Arche

[![PyPI](https://img.shields.io/pypi/v/arche.svg)](https://pypi.org/project/arche)

[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/arche.svg)](https://pypi.org/project/arche)

![GitHub](https://img.shields.io/github/license/scrapinghub/arche.svg)

[![Build Status](https://travis-ci.com/scrapinghub/arche.svg?branch=master)](https://travis-ci.com/scrapinghub/arche)

[![Codecov](https://img.shields.io/codecov/c/github/scrapinghub/arche.svg)](https://codecov.io/gh/scrapinghub/arche)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)

[![GitHub commit activity](https://img.shields.io/github/commit-activity/m/scrapinghub/arche.svg)](https://github.com/scrapinghub/arche/commits/master)

    pip install arche

Arche (pronounced *Arkey*) helps to verify scraped data using set of defined rules, for example:

  * Validation with [JSON schema](https://json-schema.org/)

  * Coverage (items, fields, categorical data, including booleans and enums)

  * Duplicates

  * Garbage symbols

  * Comparison of two jobs

  

_We use it in Scrapinghub, among the other tools, to ensure quality of scraped data_

## Installation

Arche requires [Jupyter](https://jupyter.org/install) environment, supporting both [JupyterLab](https://github.com/jupyterlab/jupyterlab#installation) and [Notebook](https://github.com/jupyter/notebook) UI

For JupyterLab, you will need to properly install [plotly extensions](https://github.com/plotly/plotly.py#jupyterlab-support-python-35)

Then just `pip install arche`

## Why

To check the quality of scraped data continuously. For example, if you scraped a website, a typical approach would be to validate the data with Arche. You can also create a schema and then set up [Spidermon](https://spidermon.readthedocs.io/en/latest/item-validation.html#with-json-schema)

## Developer Setup

	pipenv install --dev

	pipenv shell

	tox

## Contribution

Any contributions are welcome! See https://github.com/scrapinghub/arche/issues if you want to take on something or suggest an improvement/report a bug.