would break this promise. Click was written to support the Flask microframework ecosystem because no tool could provide it with the function- ality it needed. To get an understanding of what Click is all advanced use cases, but it’s discouraged for high-level usage. A function becomes a Click command line tool by decorating it through click.command(). At its simplest, just decorating a function with this decorator you might want to pass a configuration file with a --config parameter but also support exporting a TOOL_CONFIG=hello.cfg key-value pair for a nicer development experience. 1.5. Options 19 Click Documentation

would break this promise. Click was written to support the Flask microframework ecosystem because no tool could provide it with the function- ality it needed. To get an understanding of what Click is all advanced use cases, but it’s discouraged for high-level usage. A function becomes a Click command line tool by decorating it through click.command(). At its simplest, just decorating a function with this decorator you might want to pass a configuration file with a --config parameter but also support exporting a TOOL_CONFIG=hello.cfg key-value pair for a nicer development experience. This is supported by Click in

would break this promise. Click was written to support the Flask microframework ecosystem because no tool could provide it with the function- ality it needed. To get an understanding of what Click is all advanced use cases, but it’s discouraged for high-level usage. A function becomes a Click command line tool by decorating it through click.command(). At its simplest, just decorating a function with this decorator you might want to pass a configuration file with a --config parameter but also support exporting a TOOL_CONFIG=hello.cfg key-value pair for a nicer development experience. This is supported by Click in

would break this promise. Click was written to support the Flask microframework ecosystem because no tool could provide it with the function- ality it needed. To get an understanding of what Click is all advanced use cases, but it’s discouraged for high-level usage. A function becomes a Click command line tool by decorating it through click.command(). At its simplest, just decorating a function with this decorator you might want to pass a configuration file with a --config parameter but also support exporting a TOOL_CONFIG=hello.cfg key-value pair for a nicer development experience. This is supported by Click in

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 3 Basic concepts 25 3.1 Command line tool . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 3.2 Spiders guide on how to create your virtualenv. Note: If you use Linux or OS X, virtualenvwrapper is a handy tool to create virtualenvs. Once you have created a virtualenv, you can install scrapy inside it with overall good practice for managing dependen- cies and can complement the first method. virtualenv is a tool you can use to create virtual environments in python. We recommended reading a tutorial like http://docs

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 3 Basic concepts 19 3.1 Command line tool . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3.2 Items CHAPTER 3 Basic concepts 3.1 Command line tool New in version 0.10. Scrapy is controlled through the scrapy command-line tool, to be referred here as the “Scrapy tool” to differentiate it from their sub-commands sub-commands which we just call “commands”, or “Scrapy commands”. The Scrapy tool provides several commands, for multiple purposes, and each one accepts a different set of arguments and options. 3.1.1 Default

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 3 Basic concepts 19 3.1 Command line tool . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3.2 Items CHAPTER 3 Basic concepts 3.1 Command line tool New in version 0.10. Scrapy is controlled through the scrapy command-line tool, to be referred here as the “Scrapy tool” to differentiate it from their sub-commands sub-commands which we just call “commands”, or “Scrapy commands”. The Scrapy tool provides several commands, for multiple purposes, and each one accepts a different set of arguments and options. 3.1.1 Default

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 3 Basic concepts 19 3.1 Command line tool . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3.2 Items CHAPTER 3 Basic concepts 3.1 Command line tool New in version 0.10. Scrapy is controlled through the scrapy command-line tool, to be referred here as the “Scrapy tool” to differentiate it from their sub-commands sub-commands which we just call “commands”, or “Scrapy commands”. The Scrapy tool provides several commands, for multiple purposes, and each one accepts a different set of arguments and options. 3.1.1 Default

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 3 Basic concepts 17 3.1 Command line tool . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 3.2 Items CHAPTER 3 Basic concepts 3.1 Command line tool New in version 0.10. Scrapy is controlled through the scrapy command-line tool, to be referred here as the “Scrapy tool” to differentiate it from their sub-commands sub-commands which we just call “commands”, or “Scrapy commands”. The Scrapy tool provides several commands, for multiple purposes, and each one accepts a different set of arguments and options. 3.1.1 Default

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 3 Basic concepts 23 3.1 Command line tool . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 3.2 Spiders guide on how to create your virtualenv. Note: If you use Linux or OS X, virtualenvwrapper is a handy tool to create virtualenvs. Once you have created a virtualenv, you can install scrapy inside it with overall good practice for managing depen- dencies and can complement the first method. virtualenv is a tool you can use to create virtual environments in python. We recommended reading a tutorial like http://docs