scrapy-do-heroku 0.4.1

A daemon for scheduling Scrapy spiders

Scrapy Do is a daemon that provides a convenient way to run Scrapy spiders. It can either do it once - immediately; or it can run them periodically, at specified time intervals. It’s been inspired by scrapyd but written from scratch. It comes with a REST API, a command line client, and an interactive web interface.

• Homepage: https://jany.st/scrapy-do.html

• Documentation: https://scrapy-do.readthedocs.io/en/latest/

Quick Start

• Install scrapy-do using pip:

  $ pip install scrapy-do

• Start the daemon in the foreground:

  $ scrapy-do -n scrapy-do

• Open another terminal window, download the Scrapy’s Quotesbot example, and push the code to the server:

  $ git clone https://github.com/scrapy/quotesbot.git
  $ cd quotesbot
  $ scrapy-do-cl push-project
  +----------------+
  | quotesbot      |
  |----------------|
  | toscrape-css   |
  | toscrape-xpath |
  +----------------+

• Schedule some jobs:

  $ scrapy-do-cl schedule-job --project quotesbot \
      --spider toscrape-css --when 'every 5 to 15 minutes'
  +--------------------------------------+
  | identifier                           |
  |--------------------------------------|
  | 0a3db618-d8e1-48dc-a557-4e8d705d599c |
  +--------------------------------------+
  
  $ scrapy-do-cl schedule-job --project quotesbot --spider toscrape-css
  +--------------------------------------+
  | identifier                           |
  |--------------------------------------|
  | b3a61347-92ef-4095-bb68-0702270a52b8 |
  +--------------------------------------+

• See what’s going on:

  

  The web interface is available at http://localhost:7654 by default.

Building from source

Both of the steps below require nodejs to be installed.

• Check if things work fine:

  $ pip install -rrequirements-dev.txt
  $ tox

• Build the wheel:

  $ python setup.py bdist_wheel

ChangeLog

Version 0.4.0

• Migration to the Bootstrap 4 UI

• Make it possible to add a short description to jobs

• Make it possible to specify user-defined payload in each job that is passed on as a parameter to the python crawler

• UI updates to support the above

• New log viewers in the web UI