The extensions framework provides a mechanism for inserting your own custom functionality into Scrapy.

Extensions are just regular classes that are instantiated at Scrapy startup, when extensions are initialized.

Extension settings

Extensions use the Scrapy settings to manage their settings, just like any other Scrapy code.

It is customary for extensions to prefix their settings with their own name, to avoid collision with existing (and future) extensions. For example, an hypothetic extension to handle Google Sitemaps would use settings like GOOGLESITEMAP_ENABLED, GOOGLESITEMAP_DEPTH, and so on.

Loading & activating extensions

Extensions are loaded and activated at startup by instantiating a single instance of the extension class. Therefore, all the extension initialization code must be performed in the class constructor (__init__ method).

To make an extension available, add it to the EXTENSIONS setting in your Scrapy settings. In EXTENSIONS, each extension is represented by a string: the full Python path to the extension’s class name. For example:

    'scrapy.contrib.corestats.CoreStats': 500,
    'scrapy.webservice.WebService': 500,
    'scrapy.telnet.TelnetConsole': 500,

As you can see, the EXTENSIONS setting is a dict where the keys are the extension paths, and their values are the orders, which define the extension loading order. Extensions orders are not as important as middleware orders though, and they are typically irrelevant, ie. it doesn’t matter in which order the extensions are loaded because they don’t depend on each other [1].

However, this feature can be exploited if you need to add an extension which depends on other extensions already loaded.

[1] This is is why the EXTENSIONS_BASE setting in Scrapy (which contains all built-in extensions enabled by default) defines all the extensions with the same order (500).

Available, enabled and disabled extensions

Not all available extensions will be enabled. Some of them usually depend on a particular setting. For example, the HTTP Cache extension is available by default but disabled unless the HTTPCACHE_ENABLED setting is set.

Disabling an extension

In order to disable an extension that comes enabled by default (ie. those included in the EXTENSIONS_BASE setting) you must set its order to None. For example:

    'scrapy.contrib.corestats.CoreStats': None,

Writing your own extension

Writing your own extension is easy. Each extension is a single Python class which doesn’t need to implement any particular method.

The main entry point for a Scrapy extension (this also includes middlewares and pipelines) is the from_crawler class method which receives a Crawler instance which is the main object controlling the Scrapy crawler. Through that object you can access settings, signals, stats, and also control the crawler behaviour, if your extension needs to such thing.

Typically, extensions connect to signals and perform tasks triggered by them.

Finally, if the from_crawler method raises the NotConfigured exception, the extension will be disabled. Otherwise, the extension will be enabled.

Sample extension

Here we will implement a simple extension to illustrate the concepts described in the previous section. This extension will log a message every time:

  • a spider is opened
  • a spider is closed
  • a specific number of items are scraped

The extension will be enabled through the MYEXT_ENABLED setting and the number of items will be specified through the MYEXT_ITEMCOUNT setting.

Here is the code of such extension:

from scrapy import signals
from scrapy.exceptions import NotConfigured

class SpiderOpenCloseLogging(object):

    def __init__(self, item_count):
        self.item_count = item_count
        self.items_scraped = 0

    def from_crawler(cls, crawler):
        # first check if the extension should be enabled and raise
        # NotConfigured otherwise
        if not crawler.settings.getbool('MYEXT_ENABLED'):
            raise NotConfigured

        # get the number of items from settings
        item_count = crawler.settings.getint('MYEXT_ITEMCOUNT', 1000)

        # instantiate the extension object
        ext = cls(item_count)

        # connect the extension object to signals
        crawler.signals.connect(ext.spider_opened, signal=signals.spider_opened)
        crawler.signals.connect(ext.spider_closed, signal=signals.spider_closed)
        crawler.signals.connect(ext.item_scraped, signal=signals.item_scraped)

        # return the extension object
        return ext

    def spider_opened(self, spider):
        spider.log("opened spider %s" % spider.name)

    def spider_closed(self, spider):
        spider.log("closed spider %s" % spider.name)

    def item_scraped(self, item, spider):
        self.items_scraped += 1
        if self.items_scraped == self.item_count:
            spider.log("scraped %d items, resetting counter" % self.items_scraped)
            self.item_count = 0

Built-in extensions reference

General purpose extensions

Log Stats extension

class scrapy.contrib.logstats.LogStats

Log basic stats like crawled pages and scraped items.

Core Stats extension

class scrapy.contrib.corestats.CoreStats

Enable the collection of core statistics, provided the stats collection is enabled (see Stats Collection).

Web service extension

class scrapy.webservice.WebService

See topics-webservice.

Telnet console extension

class scrapy.telnet.TelnetConsole

Provides a telnet console for getting into a Python interpreter inside the currently running Scrapy process, which can be very useful for debugging.

The telnet console must be enabled by the TELNETCONSOLE_ENABLED setting, and the server will listen in the port specified in TELNETCONSOLE_PORT.

Memory usage extension

class scrapy.contrib.memusage.MemoryUsage


This extension does not work in Windows.

Monitors the memory used by the Scrapy process that runs the spider and:

1, sends a notification e-mail when it exceeds a certain value 2. closes the spider when it exceeds a certain value

The notification e-mails can be triggered when a certain warning value is reached (MEMUSAGE_WARNING_MB) and when the maximum value is reached (MEMUSAGE_LIMIT_MB) which will also cause the spider to be closed and the Scrapy process to be terminated.

This extension is enabled by the MEMUSAGE_ENABLED setting and can be configured with the following settings:

Memory debugger extension

class scrapy.contrib.memdebug.MemoryDebugger

An extension for debugging memory usage. It collects information about:

To enable this extension, turn on the MEMDEBUG_ENABLED setting. The info will be stored in the stats.

Close spider extension

class scrapy.contrib.closespider.CloseSpider

Closes a spider automatically when some conditions are met, using a specific closing reason for each condition.

The conditions for closing a spider can be configured through the following settings:


Default: 0

An integer which specifies a number of seconds. If the spider remains open for more than that number of second, it will be automatically closed with the reason closespider_timeout. If zero (or non set), spiders won’t be closed by timeout.


Default: 0

An integer which specifies a number of items. If the spider scrapes more than that amount if items and those items are passed by the item pipeline, the spider will be closed with the reason closespider_itemcount. If zero (or non set), spiders won’t be closed by number of passed items.


New in version 0.11.

Default: 0

An integer which specifies the maximum number of responses to crawl. If the spider crawls more than that, the spider will be closed with the reason closespider_pagecount. If zero (or non set), spiders won’t be closed by number of crawled responses.


New in version 0.11.

Default: 0

An integer which specifies the maximum number of errors to receive before closing the spider. If the spider generates more than that number of errors, it will be closed with the reason closespider_errorcount. If zero (or non set), spiders won’t be closed by number of errors.

StatsMailer extension

class scrapy.contrib.statsmailer.StatsMailer

This simple extension can be used to send a notification e-mail every time a domain has finished scraping, including the Scrapy stats collected. The email will be sent to all recipients specified in the STATSMAILER_RCPTS setting.

Debugging extensions

Stack trace dump extension

class scrapy.contrib.debug.StackTraceDump

Dumps information about the running process when a SIGQUIT or SIGUSR2 signal is received. The information dumped is the following:

  1. engine status (using scrapy.utils.engine.get_engine_status())
  2. live references (see Debugging memory leaks with trackref)
  3. stack trace of all threads

After the stack trace and engine status is dumped, the Scrapy process continues running normally.

This extension only works on POSIX-compliant platforms (ie. not Windows), because the SIGQUIT and SIGUSR2 signals are not available on Windows.

There are at least two ways to send Scrapy the SIGQUIT signal:

  1. By pressing Ctrl-while a Scrapy process is running (Linux only?)

  2. By running this command (assuming <pid> is the process id of the Scrapy process):

    kill -QUIT <pid>

Debugger extension

class scrapy.contrib.debug.Debugger

Invokes a Python debugger inside a running Scrapy process when a SIGUSR2 signal is received. After the debugger is exited, the Scrapy process continues running normally.

For more info see Debugging in Python.

This extension only works on POSIX-compliant platforms (ie. not Windows).