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小编给大家分享一下Spider和python分布式爬虫的CrawlSpider存在着什么关系,相信大部分人都还不怎么了解,因此分享这篇文章给大家参考一下,希望大家阅读完这篇文章后大有收获,下面让我们一起去了解一下吧!
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CrawlSpider
深度爬虫,根据连接提取规则,会自动抓取页面中满足规则的连接,然后再请求解析,再抓取从而一直深入。
源码
""" This modules implements the CrawlSpider which is the recommended spider to use for scraping typical web sites that requires crawling pages. See documentation in docs/topics/spiders.rst """ import copy import six from scrapy.http import Request, HtmlResponse from scrapy.utils.spider import iterate_spider_output from scrapy.spiders import Spider def identity(x): return x class Rule(object): def __init__(self, link_extractor, callback=None, cb_kwargs=None, follow=None, process_links=None, process_request=identity): self.link_extractor = link_extractor self.callback = callback self.cb_kwargs = cb_kwargs or {} self.process_links = process_links self.process_request = process_request if follow is None: self.follow = False if callback else True else: self.follow = follow class CrawlSpider(Spider): rules = () def __init__(self, *a, **kw): super(CrawlSpider, self).__init__(*a, **kw) self._compile_rules() def parse(self, response): return self._parse_response(response, self.parse_start_url, cb_kwargs={}, follow=True) def parse_start_url(self, response): return [] def process_results(self, response, results): return results def _build_request(self, rule, link): r = Request(url=link.url, callback=self._response_downloaded) r.meta.update(rule=rule, link_text=link.text) return r def _requests_to_follow(self, response): if not isinstance(response, HtmlResponse): return seen = set() for n, rule in enumerate(self._rules): links = [lnk for lnk in rule.link_extractor.extract_links(response) if lnk not in seen] if links and rule.process_links: links = rule.process_links(links) for link in links: seen.add(link) r = self._build_request(n, link) yield rule.process_request(r) def _response_downloaded(self, response): rule = self._rules[response.meta['rule']] return self._parse_response(response, rule.callback, rule.cb_kwargs, rule.follow) def _parse_response(self, response, callback, cb_kwargs, follow=True): if callback: cb_res = callback(response, **cb_kwargs) or () cb_res = self.process_results(response, cb_res) for requests_or_item in iterate_spider_output(cb_res): yield requests_or_item if follow and self._follow_links: for request_or_item in self._requests_to_follow(response): yield request_or_item def _compile_rules(self): def get_method(method): if callable(method): return method elif isinstance(method, six.string_types): return getattr(self, method, None) self._rules = [copy.copy(r) for r in self.rules] for rule in self._rules: rule.callback = get_method(rule.callback) rule.process_links = get_method(rule.process_links) rule.process_request = get_method(rule.process_request) @classmethod def from_crawler(cls, crawler, *args, **kwargs): spider = super(CrawlSpider, cls).from_crawler(crawler, *args, **kwargs) spider._follow_links = crawler.settings.getbool( 'CRAWLSPIDER_FOLLOW_LINKS', True) return spider def set_crawler(self, crawler): super(CrawlSpider, self).set_crawler(crawler) self._follow_links = crawler.settings.getbool('CRAWLSPIDER_FOLLOW_LINKS', True)
CrawlSpider是继承于Spider,也实现了其中的常用属性和方法,新增了一个rules属性(连接提取规则集合),但是不同的是Crawl内部实现了parse解析方法,不能在Crawl中使用该关键词。
def parse(self, response): return self._parse_response(response, self.parse_start_url, cb_kwargs={}, follow=True)
也提供了一个可复写(overrideable)的方法:
parse_start_url(response)
当start_url的请求返回时,该方法被调用。 该方法分析最初的返回值并必须返回一个 Item对象或者 一个 Request 对象或者 一个可迭代的包含二者对象。
以上是“Spider和python分布式爬虫的CrawlSpider存在着什么关系”这篇文章的所有内容,感谢各位的阅读!相信大家都有了一定的了解,希望分享的内容对大家有所帮助,如果还想学习更多知识,欢迎关注创新互联行业资讯频道!
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