project (dmoz) as our example domain to scrape. This tutorial will walk you through through these tasks: 1. Creating a new Scrapy project 2. Defining the Items you will extract 3. Writing a spider to you need to know about declaring items. 3.1.3 Working with Items Here are some examples of common tasks performed with items, using the Product item declared above. You will notice the API is very similar keys() ['price', 'name'] >>> product.items() [('price', 1000), ('name', 'Desktop PC')] Other common tasks Copying items: >>> product2 = Product(product) >>> print product2 Product(name='Desktop PC', price=1000)

[http://www.dmoz.org/] as our example domain to scrape. This tutorial will walk you through through these tasks: 1. Creating a new Scrapy project 2. Defining the Items you will extract 3. Writing a spider to crawl all you need to know about declaring items. Working with Items Here are some examples of common tasks performed with items, using the Product item declared above. You will notice the API is very similar keys() ['price', 'name'] >>> product.items() [('price', 1000), ('name', 'Desktop PC')] Other common tasks Copying items: >>> product2 = Product(product) >>> print product2 Product(name='Desktop PC', price=1000)

directory project (dmoz) as our example domain to scrape. This tutorial will walk you through these tasks: 1. Creating a new Scrapy project 2. Defining the Items you will extract 3. Writing a spider to you need to know about declaring items. 3.2.3 Working with Items Here are some examples of common tasks performed with items, using the Product item declared above. You will notice the API is very similar keys() ['price', 'name'] >>> product.items() [('price', 1000), ('name', 'Desktop PC')] Other common tasks Copying items: >>> product2 = Product(product) >>> print product2 Product(name='Desktop PC', price=1000)

[http://www.dmoz.org/] as our example domain to scrape. This tutorial will walk you through these tasks: 1. Creating a new Scrapy project 2. Defining the Items you will extract 3. Writing a spider to crawl all you need to know about declaring items. Working with Items Here are some examples of common tasks performed with items, using the Product item declared above. You will notice the API is very similar keys() ['price', 'name'] >>> product.items() [('price', 1000), ('name', 'Desktop PC')] Other common tasks Copying items: >>> product2 = Product(product) >>> print product2 Product(name='Desktop PC', price=1000)

directory project (dmoz) as our example domain to scrape. This tutorial will walk you through these tasks: 1. Creating a new Scrapy project 2. Defining the Items you will extract 3. Writing a spider to you need to know about declaring items. 3.2.3 Working with Items Here are some examples of common tasks performed with items, using the Product item declared above. You will notice the API is very similar keys() ['price', 'name'] >>> product.items() [('price', 1000), ('name', 'Desktop PC')] Other common tasks Copying items: 26 Chapter 3. Basic concepts Scrapy Documentation, Release 0.16.5 >>> product2

directory project (dmoz) as our example domain to scrape. This tutorial will walk you through these tasks: 1. Creating a new Scrapy project 2. Defining the Items you will extract 3. Writing a spider to you need to know about declaring items. 3.2.3 Working with Items Here are some examples of common tasks performed with items, using the Product item declared above. You will notice the API is very similar keys() ['price', 'name'] >>> product.items() [('price', 1000), ('name', 'Desktop PC')] Other common tasks Copying items: >>> product2 = Product(product) >>> print product2 Product(name='Desktop PC', price=1000)

directory project (dmoz) as our example domain to scrape. This tutorial will walk you through these tasks: 1. Creating a new Scrapy project 2. Defining the Items you will extract 3. Writing a spider to you need to know about declaring items. 3.2.3 Working with Items Here are some examples of common tasks performed with items, using the Product item declared above. You will notice the API is very similar keys() [’price’, ’name’] >>> product.items() [(’price’, 1000), (’name’, ’Desktop PC’)] Other common tasks Copying items: >>> product2 = Product(product) >>> print product2 Product(name=’Desktop PC’, price=1000)

directory project (dmoz) as our example domain to scrape. This tutorial will walk you through these tasks: 1. Creating a new Scrapy project 2. Defining the Items you will extract 3. Writing a spider to you need to know about declaring items. 3.2.3 Working with Items Here are some examples of common tasks performed with items, using the Product item declared above. You will notice the API is very similar keys() [’price’, ’name’] >>> product.items() [(’price’, 1000), (’name’, ’Desktop PC’)] Other common tasks Copying items: >>> product2 = Product(product) >>> print product2 Product(name=’Desktop PC’, price=1000)

[http://www.dmoz.org/] as our example domain to scrape. This tutorial will walk you through these tasks: 1. Creating a new Scrapy project 2. Defining the Items you will extract 3. Writing a spider to crawl all you need to know about declaring items. Working with Items Here are some examples of common tasks performed with items, using the Product item declared above. You will notice the API is very similar keys() ['price', 'name'] >>> product.items() [('price', 1000), ('name', 'Desktop PC')] Other common tasks Copying items: >>> product2 = Product(product) >>> print product2 Product(name='Desktop PC', price=1000)

directory project (dmoz) as our example domain to scrape. This tutorial will walk you through these tasks: 1. Creating a new Scrapy project 2. Defining the Items you will extract 3. Writing a spider to Scrapy Documentation, Release 0.14.4 3.2.3 Working with Items Here are some examples of common tasks performed with items, using the Product item declared above. You will notice the API is very similar keys() ['price', 'name'] >>> product.items() [('price', 1000), ('name', 'Desktop PC')] Other common tasks Copying items: >>> product2 = Product(product) >>> print product2 Product(name='Desktop PC', price=1000)