scrapy-redis 0.3

Redis-based components for Scrapy

This is a initial work on Scrapy-Redis integration, not production-tested. Use it at your own risk!

Features:

• Distributed crawling/scraping

• Distributed post-processing

Requirements:

• Scrapy >= 0.13 (development version)

• redis-py (tested on 2.4.9)

• redis server (tested on 2.2-2.4)

Available Scrapy components:

• Scheduler

• Duplication Filter

• Item Pipeline

Usage

In your settings.py:

# enables scheduling storing requests queue in redis
SCHEDULER = "scrapy_redis.scheduler.Scheduler"

# don't cleanup redis queues, allows to pause/resume crawls
SCHEDULER_PERSIST = True

# Schedule requests using a priority queue. (default)
SCHEDULER_QUEUE_CLASS = 'scrapy_redis.queue.SpiderPriorityQueue'

# Schedule requests using a queue (FIFO).
SCHEDULER_QUEUE_CLASS = 'scrapy_redis.queue.SpiderQueue'

# Schedule requests using a stack (LIFO).
SCHEDULER_QUEUE_CLASS = 'scrapy_redis.queue.SpiderStack'

# store scraped item in redis for post-processing
ITEM_PIPELINES = [
    'scrapy_redis.pipelines.RedisPipeline',
]

Note

Version 0.3 changed the requests serialization from marshal to cPickle, therefore persisted requests using version 0.2 will not able to work on 0.3.

Running the example project

You can test the funcionality following the next steps:

1. Setup scrapy_redis package in your PYTHONPATH

2. Run the crawler for first time then stop it:

   $ cd example-project
   $ scrapy crawl dmoz
   ... [dmoz] ...
   ^C

3. Run the crawler again to resume stopped crawling:

   $ scrapy crawl dmoz
   ... [dmoz] DEBUG: Resuming crawl (9019 requests scheduled)

4. Start one or more additional scrapy crawlers:

   $ scrapy crawl dmoz
   ... [dmoz] DEBUG: Resuming crawl (8712 requests scheduled)

5. Start one or more post-processing workers:

   $ python process_items.py
   Processing: Kilani Giftware (http://www.dmoz.org/Computers/Shopping/Gifts/)
   Processing: NinjaGizmos.com (http://www.dmoz.org/Computers/Shopping/Gifts/)
   ...

That’s it.