details. • Extensible stats collection for multiple spider metrics, useful for monitoring the performance of your spiders and detecting when they get broken • An Interactive shell console for trying XPaths can be chosen from: iternodes, xml, and html. It’s recommended to use the iternodes iterator for performance reasons, since the xml and html iterators generate the whole DOM at once in order to parse it. to Python’s re module. Thus, using regexp functions in your XPath expressions may add a small performance penalty. 42 Chapter 3. Basic concepts Scrapy Documentation, Release 0.22.0 Set operations These

details. • Extensible stats collection for multiple spider metrics, useful for monitoring the performance of your spiders and detecting when they get broken • An Interactive shell console for trying XPaths can be chosen from: iternodes, xml, and html. It’s recommended to use the iternodes iterator for performance reasons, since the xml and html iterators generate the whole DOM at once in order to parse it. to Python’s re module. Thus, using regexp functions in your XPath expressions may add a small performance penalty. Set operations These can be handy for excluding parts of a document tree before extracting

more details. Extensible stats collection for multiple spider metrics, useful for monitoring the performance of your spiders and detecting when they get broken An Interactive shell console for trying XPaths can be chosen from: iternodes, xml, and html. It’s recommended to use the iternodes iterator for performance reasons, since the xml and html iterators generate the whole DOM at once in order to parse it. to Python’s re module. Thus, using regexp functions in your XPath expressions may add a small performance penalty. Set operations These can be handy for excluding parts of a document tree before extracting

can be chosen from: iternodes, xml, and html. It’s recommended to use the iternodes iterator for performance reasons, since the xml and html iterators generate the whole DOM at once in order to parse it. to Python’s re module. Thus, using regexp functions in your XPath expressions may add a small performance penalty. Set operations These can be handy for excluding parts of a document tree before extracting in question whereas the CSS lookup is translated into XPath and thus runs more efficiently, so performance-wise its uses are limited to situations that are not easily described with CSS selectors. Parsel

can be chosen from: iternodes, xml, and html. It’s recommended to use the iternodes iterator for performance reasons, since the xml and html iterators generate the whole DOM at once in order to parse it. to Python’s re module. Thus, using regexp functions in your XPath expressions may add a small performance penalty. Set operations These can be handy for excluding parts of a document tree before extracting in question whereas the CSS lookup is translated into XPath and thus runs more efficiently, so performance-wise its uses are limited to situations that are not easily described with CSS selectors. Parsel

can be chosen from: iternodes, xml, and html. It’s recommended to use the iternodes iterator for performance reasons, since the xml and html iterators generate the whole DOM at once in order to parse it. to Python’s re module. Thus, using regexp functions in your XPath expressions may add a small performance penalty. Set operations These can be handy for excluding parts of a document tree before extracting in question whereas the CSS lookup is translated into XPath and thus runs more efficiently, so performance-wise its uses are limited to situations that are not easily described with CSS selectors. Parsel

more details. Extensible stats collection for multiple spider metrics, useful for monitoring the performance of your spiders and detecting when they get broken An Interactive shell console for trying XPaths can be chosen from: iternodes, xml, and html. It’s recommended to use the iternodes iterator for performance reasons, since the xml and html iterators generate the whole DOM at once in order to parse it. to Python’s re module. Thus, using regexp functions in your XPath expressions may add a small performance penalty. Set operations These can be handy for excluding parts of a document tree before extracting

hy-is-processing-a-sorted- ˓→array-faster-than-an-unsorted-array", "tags": ["java", "c++", "performance", "optimization"], "title": "Why is processing a sorted array faster than an unsorted array?", can be chosen from: iternodes, xml, and html. It’s recommended to use the iternodes iterator for performance reasons, since the xml and html iterators generate the whole DOM at once in order to parse it. to Python’s re module. Thus, using regexp functions in your XPath expressions may add a small performance penalty. Set operations These can be handy for excluding parts of a document tree before extracting

y-is- processing-a-sorted-array-faster-than-an-unsorted-array", "tags": ["java", "c++", "performance", "optimization"], "title": "Why is processing a sorted array faster than an unsorted array can be chosen from: iternodes, xml, and html. It’s recommended to use the iternodes iterator for performance reasons, since the xml and html iterators generate the whole DOM at once in order to parse it. to Python’s re module. Thus, using regexp functions in your XPath expressions may add a small performance penalty. Set operations These can be handy for excluding parts of a document tree before extracting

can be chosen from: iternodes, xml, and html. It’s recommended to use the iternodes iterator for performance reasons, since the xml and html iterators generate the whole DOM at once in order to parse it. to Python’s re module. Thus, using regexp functions in your XPath expressions may add a small performance penalty. 3.3. Selectors 59 Scrapy Documentation, Release 2.6.3 Set operations These can be in question whereas the CSS lookup is translated into XPath and thus runs more efficiently, so performance-wise its uses are limited to situations that are not easily described with CSS selectors. Parsel