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Full-featured web UI for Scrapyd cluster management, Scrapy log analysis & visualization

Project description

ScrapydWeb: Full-featured web UI for Scrapyd cluster management, Scrapy log analysis & visualization

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


  • Scrapyd Cluster Management

    • Group, filter and select any numbers of nodes
    • Execute command on multinodes with one click
  • Scrapy Log Analysis

    • Stats collection
    • Progress visualization
    • Logs categorization
  • All Scrapyd API Supported

    • Deploy project, Run Spider, Stop job
    • List projects/versions/spiders/running_jobs
    • Delete version/project
  • Others

    • Auto eggifying
    • Basic auth for web UI
    • Accessing Scrapyd servers protected by basic auth



To install ScrapydWeb, simply use pip:

pip install scrapydweb

Start Up

  1. Run scrapydweb -h to get help, and a config file named (N for a number) would be copied to current working directory, then you can custom settings in it.
  2. Run scrapydweb
  3. Visit (It's recommended to use Google Chrome to get better experience.)



  • Overview overview

  • Dashboard dashboard

  • Log Analysis

    • Stats collection log_stats

    • Progress visualization log_charts

    • Logs categorization log_logs

  • Deploy a Project deploy

  • Run a Spider run

  • Manage Projects manage

Project details

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Filename, size & hash SHA256 hash help File type Python version Upload date
scrapydweb-0.9.9-py3-none-any.whl (623.3 kB) Copy SHA256 hash SHA256 Wheel py3
scrapydweb-0.9.9.tar.gz (618.9 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