obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes. To do that, we edit items.py, found in the dmoz directory. Our dmoz.org Using our item Item objects are custom python dict, you can access the values oftheir fields (attributes of the class we defined earlier) using the standard dict syntax like: >>> item = DmozItem() scraped data. They provide a dictionary-like API with a convenient syntax for declaring their available fields. 3.1.1 Declaring Items Items are declared using a simple class definition syntax and Field objects

obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes. To do that, we edit items.py, found in the dmoz directory. Our dmoz.org Using our item Item objects are custom python dict, you can access the values oftheir fields (attributes of the class we defined earlier) using the standard dict syntax like: >>> item = DmozItem() python.org/library/stdtypes.html#dict] API with a convenient syntax for declaring their available fields. Declaring Items Items are declared using a simple class definition syntax and Field objects. Here

they work like simple python dicts but provide additional protecting against populating undeclared fields, to prevent typos. They are declared by creating an scrapy.item.Item class an defining its attributes obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes. To do that, we edit items.py, found in the tutorial directory crawl dmoz Using our item Item objects are custom python dicts; you can access the values of their fields (attributes of the class we defined earlier) using the standard dict syntax like: >>> item = DmozItem()

they work like simple python dicts but provide additional protecting against populating undeclared fields, to prevent typos. They are declared by creating an scrapy.item.Item class an defining its attributes obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes. To do that, we edit items.py, found in the tutorial directory crawl dmoz Using our item Item objects are custom python dicts; you can access the values of their fields (attributes of the class we defined earlier) using the standard dict syntax like: >>> item = DmozItem()

plain Python dicts with Scrapy, Items provide additional protection against populating undeclared fields, preventing typos. They can also be used with Item Loaders, a mechanism with helpers to conveniently obtained from dmoz.org. As we want to capture the name, url and description of the sites, we define fields for each of these three attributes. To do that, we edit items.py, found in the tutorial directory crawl dmoz Using our item Item objects are custom Python dicts; you can access the values of their fields (attributes of the class we defined earlier) using the standard dict syntax like: >>> item = DmozItem()

they work like simple python dicts but provide additional protecting against populating undeclared fields, to prevent typos. They are declared by creating an scrapy.item.Item class an defining its attributes obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes. To do that, we edit items.py, found in the tutorial directory crawl dmoz Using our item Item objects are custom python dicts; you can access the values of their fields (attributes of the class we defined earlier) using the standard dict syntax like: >>> item = DmozItem()

they work like simple python dicts but provide additional protecting against populating undeclared fields, to prevent typos. 10 Chapter 2. First steps Scrapy Documentation, Release 0.16.5 They are declared obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes. To do that, we edit items.py, found in the tutorial directory crawl dmoz Using our item Item objects are custom python dicts; you can access the values of their fields (attributes of the class we defined earlier) using the standard dict syntax like: >>> item = DmozItem()

plain Python dicts with Scrapy, Items provide additional protection against populating undeclared fields, preventing typos. They can also be used with Item Loaders, a mechanism with helpers to conveniently obtained from dmoz.org. As we want to capture the name, url and description of the sites, we define fields for each of these three attributes. To do that, we edit items.py, found in the tutorial directory crawl dmoz Using our item Item objects are custom Python dicts; you can access the values of their fields (attributes of the class we defined earlier) using the standard dict syntax like: >>> item = DmozItem()

obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes. To do that, we edit items.py, found in the dmoz directory. Our dmoz.org Using our item Item objects are custom python dicts; you can access the values of their fields (attributes of the class we defined earlier) using the standard dict syntax like: >>> item = DmozItem() scraped data. They provide a dictionary-like API with a convenient syntax for declaring their available fields. 3.2.1 Declaring Items Items are declared using a simple class definition syntax and Field objects

obtained from dmoz.org, as we want to capture the name, url and description of the sites, we define fields for each of these three attributes. To do that, we edit items.py, found in the dmoz directory. Our dmoz.org Using our item Item objects are custom python dicts; you can access the values of their fields (attributes of the class we defined earlier) using the standard dict syntax like: >>> item = DmozItem() python.org/library/stdtypes.html#dict] API with a convenient syntax for declaring their available fields. Declaring Items Items are declared using a simple class definition syntax and Field objects. Here