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A full-featured web UI for Scrapyd cluster management, with Scrapy log analysis & visualization supported.

Project description

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ScrapydWeb: A full-featured web UI for Scrapyd cluster management, with Scrapy log analysis & visualization supported.

PyPI - scrapydweb Version Downloads - total PyPI - Python Version Coverage Status GitHub license Twitter

overview

Scrapyd ScrapydWeb LogParser

Recommended Reading

How to efficiently manage your distributed web scraping projects

Features

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  • Scrapyd Cluster Management

    • All Scrapyd JSON API Supported
    • Group, filter and select any number of nodes
    • Execute command on multinodes with just a few clicks
  • Scrapy Log Analysis

    • Stats collection
    • Progress visualization
    • Logs categorization
  • Enhancements

    • Auto eggify your projects
    • Integrated with LogParser
    • :e-mail: Email notice
    • Mobile UI
    • Basic auth for web UI

Preview

Getting Started

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Prerequisites

Make sure that Scrapyd has been installed and started on all of your hosts.

Note that for remote access, you have to manually set 'bind_address = 0.0.0.0' in the configuration file of Scrapyd and restart Scrapyd to make it visible externally.

Install

  • Use pip:
pip install scrapydweb
  • Use git:
git clone https://github.com/my8100/scrapydweb.git
cd scrapydweb
python setup.py install

Start

  1. Start ScrapydWeb via command scrapydweb. (a config file would be generated for customizing settings at the first startup.)
  2. Visit http://127.0.0.1:5000 (It's recommended to use Google Chrome for a better experience.)

Browser Support

The latest version of Google Chrome, Firefox, and Safari.

Running the tests

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$ git clone https://github.com/my8100/scrapydweb.git
$ cd scrapydweb

# To create isolated Python environments
$ pip install virtualenv
$ virtualenv venv/scrapydweb
# Or specify your Python interpreter: $ virtualenv -p /usr/local/bin/python3.7 venv/scrapydweb
$ source venv/scrapydweb/bin/activate

# Install dependent libraries
(scrapydweb) $ python setup.py install
(scrapydweb) $ pip install pytest
(scrapydweb) $ pip install coverage

# Make sure Scrapyd has been installed and started, then update the custom_settings item in tests/conftest.py
(scrapydweb) $ vi tests/conftest.py
(scrapydweb) $ curl http://127.0.0.1:6800

(scrapydweb) $ coverage run --source=scrapydweb -m pytest tests/test_a_factory.py -s -vv
(scrapydweb) $ coverage run --source=scrapydweb -m pytest tests -s -vv
(scrapydweb) $ coverage report
# To create an HTML report, check out htmlcov/index.html
(scrapydweb) $ coverage html

Built With

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Changelog

Detailed changes for each release are documented in the HISTORY.md.

Author


my8100

Contributors


Kaisla

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

Project details


Download files

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Filename, size & hash SHA256 hash help File type Python version Upload date
scrapydweb-1.1.0-py3-none-any.whl (624.7 kB) Copy SHA256 hash SHA256 Wheel py3
scrapydweb-1.1.0.tar.gz (575.0 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page