327 Python Module Index 329 Index 331 ii Scrapy Documentation, Release 2.2.1 Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data 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

333 Python Module Index 335 Index 337 ii Scrapy Documentation, Release 2.4.1 Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data 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

331 Python Module Index 333 Index 335 ii Scrapy Documentation, Release 2.3.0 Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data 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

315 Python Module Index 317 Index 319 ii Scrapy Documentation, Release 2.0.1 Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data 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

321 Python Module Index 323 Index 325 ii Scrapy Documentation, Release 2.1.0 Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data 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

362 Python Module Index 365 Index 367 ii Scrapy Documentation, Release 2.6.3 Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data 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

346 Python Module Index 347 Index 349 ii Scrapy Documentation, Release 2.5.1 Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data 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. 58 Chapter 3. Basic concepts Scrapy Documentation, Release 2.5.1 Set operations These

315 Python Module Index 317 Index 319 ii Scrapy Documentation, Release 1.8.4 Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data 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. 58 Chapter 3. Basic concepts Scrapy Documentation, Release 1.8.4 Set operations These

Scrapy 2.0 documentation Scrapy is a fast high-level web crawling [https://en.wikipedia.org/wiki/Web_crawler] and web scraping [https://en.wikipedia.org/wiki/Web_scraping] framework, used to crawl websites 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

396 Python Module Index 399 Index 401 ii Scrapy Documentation, Release 2.10.1 Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data 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