updated readme

README → README.rst

@@ -23,16 +23,18 @@ Usage
 
 In your settings.py:
 
-# enables scheduling storing requests queue in redis
-SCHEDULER = "scrapy_redis.scheduler.Scheduler"
+.. code-block:: python
 
-# don't cleanup redis queues, allows to pause/resume crawls
-SCHEDULER_PERSIST = True
+  # enables scheduling storing requests queue in redis
+  SCHEDULER = "scrapy_redis.scheduler.Scheduler"
 
-# store scraped item in redis for post-processing
-ITEM_PIPELINES = [
-    'scrapy_redis.pipelines.RedisPipeline',
-]
+  # don't cleanup redis queues, allows to pause/resume crawls
+  SCHEDULER_PERSIST = True
+
+  # store scraped item in redis for post-processing
+  ITEM_PIPELINES = [
+      'scrapy_redis.pipelines.RedisPipeline',
+  ]
 
 
 Running the example project
@@ -42,24 +44,24 @@ 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
+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
+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
+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
+5. Start one or more post-processing workers::
 
   $ python process_items.py
   Processing: Kilani Giftware (http://www.dmoz.org/Computers/Shopping/Gifts/)