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Redis-based components for Scrapy.

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Redis-based components for Scrapy.


  • Distributed crawling/scraping

    You can start multiple spider instances that share a single redis queue. Best suitable for broad multi-domain crawls.

  • Distributed post-processing

    Scraped items gets pushed into a redis queued meaning that you can start as many as needed post-processing processes sharing the items queue.

  • Scrapy plug-and-play components

    Scheduler + Duplication Filter, Item Pipeline, Base Spiders.


  • Python 2.7, 3.4 or 3.5
  • Redis >= 2.8
  • Scrapy >= 1.0
  • redis-py >= 2.10


Use the following settings in your project:

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

# Ensure all spiders share same duplicates filter through redis.
DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter"

# Default requests serializer is pickle, but it can be changed to any module
# with loads and dumps functions. Note that pickle is not compatible between
# python versions.
# Caveat: In python 3.x, the serializer must return strings keys and support
# bytes as values. Because of this reason the json or msgpack module will not
# work by default. In python 2.x there is no such issue and you can use
# 'json' or 'msgpack' as serializers.
#SCHEDULER_SERIALIZER = "scrapy_redis.picklecompat"

# Don't cleanup redis queues, allows to pause/resume crawls.

# 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'

# Max idle time to prevent the spider from being closed when distributed crawling.
# This only works if queue class is SpiderQueue or SpiderStack,
# and may also block the same time when your spider start at the first time (because the queue is empty).

# Store scraped item in redis for post-processing.
    'scrapy_redis.pipelines.RedisPipeline': 300

# The item pipeline serializes and stores the items in this redis key.
#REDIS_ITEMS_KEY = '%(spider)s:items'

# The items serializer is by default ScrapyJSONEncoder. You can use any
# importable path to a callable object.

# Specify the host and port to use when connecting to Redis (optional).
#REDIS_HOST = 'localhost'
#REDIS_PORT = 6379

# Specify the full Redis URL for connecting (optional).
# If set, this takes precedence over the REDIS_HOST and REDIS_PORT settings.
#REDIS_URL = 'redis://user:pass@hostname:9001'

# Custom redis client parameters (i.e.: socket timeout, etc.)
# Use custom redis client class.
#REDIS_PARAMS['redis_cls'] = 'myproject.RedisClient'

# If True, it uses redis' ``spop`` operation. This could be useful if you
# want to avoid duplicates in your start urls list. In this cases, urls must
# be added via ``sadd`` command or you will get a type error from redis.

# How many start urls to fetch at once.

# Default start urls key for RedisSpider and RedisCrawlSpider.
#REDIS_START_URLS_KEY = '%(name)s:start_urls'


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

This example illustrates how to share a spider’s requests queue across multiple spider instances, highly suitable for broad crawls.

  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] ...
  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 dmoz:items -v
    Processing: Kilani Giftware (
    Processing: (

Feeding a Spider from Redis

The class scrapy_redis.spiders.RedisSpider enables a spider to read the urls from redis. The urls in the redis queue will be processed one after another, if the first request yields more requests, the spider will process those requests before fetching another url from redis.

For example, create a file with the code below:

from scrapy_redis.spiders import RedisSpider

class MySpider(RedisSpider):
    name = 'myspider'

    def parse(self, response):
        # do stuff


  1. run the spider:

    scrapy runspider
  2. push urls to redis:

    redis-cli lpush myspider:start_urls


These spiders rely on the spider idle signal to fetch start urls, hence it may have a few seconds of delay between the time you push a new url and the spider starts crawling it.


0.6.3 (2016-07-03)

  • Added REDIS_START_URLS_KEY setting.
  • Fixed spider method from_crawler signature.

0.6.2 (2016-06-26)

  • Support redis_cls parameter in REDIS_PARAMS setting.
  • Python 3.x compatibility fixed.

0.6.1 (2016-06-25)

  • Backwards incompatible change: Require explicit DUPEFILTER_CLASS setting.
  • Added REDIS_START_URLS_AS_SET setting.
  • Added REDIS_ITEMS_KEY setting.
  • Added REDIS_PARAMS setting.
  • Added REDIS_START_URLS_BATCH_SIZE spider attribute to read start urls in batches.
  • Added RedisCrawlSpider.

0.6.0 (2015-07-05)

  • Updated code to be compatible with Scrapy 1.0.
  • Added -a domain=… option for example spiders.

0.5.0 (2013-09-02)

  • Added REDIS_URL setting to support Redis connection string.
  • Added SCHEDULER_IDLE_BEFORE_CLOSE setting to prevent the spider closing too quickly when the queue is empty. Default value is zero keeping the previous behavior.
  • Schedule preemptively requests on item scraped.
  • This version is the latest release compatible with Scrapy 0.24.x.

0.4.0 (2013-04-19)

  • Added RedisSpider and RedisMixin classes as building blocks for spiders to be fed through a redis queue.
  • Added redis queue stats.
  • Let the encoder handle the item as it comes instead converting it to a dict.

0.3.0 (2013-02-18)

  • Added support for different queue classes.
  • Changed requests serialization from marshal to cPickle.

0.2.0 (2013-02-17)

  • Improved backward compatibility.
  • Added example project.

0.1.0 (2011-09-01)

  • First release on PyPI.

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