This article mainly introduces the simple spider collection program based on scrapy. The example analyzes the skills of scrapy to implement the collection program, which has some reference value, for more information, see the following example to describe a simple spider collection program based on scrapy. Share it with you for your reference. The details are as follows:
# Standard Python library imports# 3rd party importsfrom scrapy.contrib.spiders import CrawlSpider, Rulefrom scrapy.contrib.linkextractors.sgml import SgmlLinkExtractorfrom scrapy.selector import HtmlXPathSelector# My importsfrom poetry_analysis.items import PoetryAnalysisItemHTML_FILE_NAME = r'.+\.html'class PoetryParser(object): """ Provides common parsing method for poems formatted this one specific way. """ date_pattern = r'(\d{2} \w{3,9} \d{4})' def parse_poem(self, response): hxs = HtmlXPathSelector(response) item = PoetryAnalysisItem() # All poetry text is in pre tags text = hxs.select('//pre/text()').extract() item['text'] = ''.join(text) item['url'] = response.url # head/title contains title - a poem by author title_text = hxs.select('//head/title/text()').extract()[0] item['title'], item['author'] = title_text.split(' - ') item['author'] = item['author'].replace('a poem by', '') for key in ['title', 'author']: item[key] = item[key].strip() item['date'] = hxs.select("//p[@class='small']/text()").re(date_pattern) return itemclass PoetrySpider(CrawlSpider, PoetryParser): name = 'example.com_poetry' allowed_domains = ['www.example.com'] root_path = 'someuser/poetry/' start_urls = ['http://www.example.com/someuser/poetry/recent/', 'http://www.example.com/someuser/poetry/less_recent/'] rules = [Rule(SgmlLinkExtractor(allow=[start_urls[0] + HTML_FILE_NAME]), callback='parse_poem'), Rule(SgmlLinkExtractor(allow=[start_urls[1] + HTML_FILE_NAME]), callback='parse_poem')]
I hope this article will help you with Python programming.