python爬虫scrapy框架——爬取伯乐在线网站文章
一、前言
1. scrapy依赖包:
二、创建工程
1. 创建scrapy工程:
scrapy staratproject ArticleSpider
2. 开始(创建)新的爬虫:
cd ArticleSpider scrapy genspider jobbole blog.jobbole.com //默认通过 'basic' module创建
三、用pycharm调试scrapy
1. 在 ArticleSpider 目录下创建 main.py 文件
2. 用到Python提供的一个内置函数,调用这个函数可以执行scrapy脚本
from scrapy.cmdline import execute import sys import os sys.path.append(os.path.dirname(os.path.abspath(__file__))) execute(["scrapy", "crawl", "jobbole"]) #需要把当前项目目录放到sys.path下,scrapy命令必须在工程目录下运行 #__file__:当前文件(main.py文件) #os.path.abspath(__file__): 获取main.py的绝对路径 #os.path.dirname(os.path.abspath(__file__)):获取mian.py目录 #scrapy启动命令:scrapy crawl jobbole
3. 现在就可以在pycharm中打断点使用debug模式了
四、Settings.py 配置
1. 在 settings.py 文件中找到 ROBOTSTXT_OBEY , 把其值设为 False。让我们的爬虫不去读取网站的 ROBOTS 协议。
五、Xpath语法
注:尽量不用beautifulsoup,它比Xpath慢许多
表达式 | 说明 |
article | 选取所有的article元素的所有子节点 |
/article | 选取根元素article |
article/a | 选取所有属于article的子元素的a元素 |
//div | 选取所有div子元素(不论出现在文档任何地方) |
article//div | 选取所有属于article元素的后代的div元素,不管它出现在article的任何位置 |
//@class | 选取所有名为class的属性 |
表达式 | 说明 |
/article/div[1] | 选择属于article子元素的第一个div元素 |
/article/div[last()] | 选择属于article子元素的最后一个div元素 |
/article/div[last()-1] | 选择属于article子元素的倒数第二个div元素 |
//div[@lang] | 选择所有拥有lang属性的div元素 |
//div[@lang='eng'] | 选取所有lang属性为eng的div元素 |
/div/* | 选取属于div元素的所有子节点 |
//* | 选取所有元素 |
//div[@*] | 选取所有带属性的div元素 |
/div/a|//div/p | 选取所有div元素的a和p元素 |
//span|//ul | 选取文档中的span和ul元素 |
article/div/p|//span | 选取所有属于article元素的div元素的p元素 以及文档中所有的span元素 |
//h1[@id='test']/text() | 获取id为test的h1的文字 |
六、用Xpath和CSS爬取伯乐在线文章页面元素
# jobbole.py import scrapy import re class JobboleSpider(scrapy.Spider): name = 'jobbole' allowed_domains = ['blog.jobbole.com'] start_urls = ['http://blog.jobbole.com/110287/'] def parse(self, response): # 通过Xpath提取字段 title = response.xpath(".//*[@id='post-110287']/div[1]/h1/text()").extract_first() create_date = response.xpath("//p[@class='entry-meta-hide-on-mobile']/text()").extract_first().strip().replace('·', '').strip() praise_nums = response.xpath("//span[contains(@class, 'vote-post-up')]/h10/text()").extract_first() fav_nums = response.xpath("//span[contains(@class, 'bookmark-btn')]/text()").extract_first() match_re = re.match(r'.*?(\d+).*', fav_nums) if match_re: fav_nums = match_re.group(1) comment_nums = response.xpath("//a[@href='#article-comment']/text()").extract()[0] match_re = re.match(r'.*?(\d+).*', comment_nums) if match_re: comment_nums = match_re.group(1) content = response.xpath("//div[@class='entry']").extract()[0] tag_list = response.xpath("//p[@class='entry-meta-hide-on-mobile']/a/text()").extract() tag_list = [element for element in tag_list if not element.strip().endswith('评论')] tags = ','.join(tag_list) # 通过CSS选择器提取字段 title = response.css(".entry-header h1::text").extract() create_date = response.css("p.entry-meta-hide-on-mobile::text").extract()[0].strip().replace('·', '').strip() praise_nums = response.css(".vote-post-up h10::text").extract()[0] fav_nums = response.css(".bookmark-btn::text").extract()[0] match_re = re.match(r'.*?(\d+).*', fav_nums) if match_re: fav_nums = match_re.group(1) comment_nums = response.css("a[href='#article-comment'] span::text").extract()[0] match_re = re.match(r'.*?(\d+).*', comment_nums) if match_re: comment_nums = match_re.group(1) content = response.css("div.entry").extract()[0] tag_list = response.css("p.entry-meta-hide-on-mobile a::text").extract() tag_list = [element for element in tag_list if not element.strip().endswith('评论')] tags = ','.join(tag_list)
七、利用ItemLoader爬取伯乐在线文章页面元素
# jobbole.py import scrapy import re import datetime from scrapy.http import Request from urllib import parse from scrapy.loader import ItemLoader from ArticleSpider.items import JobBoleArticleItem, ArticleItemLoader from ArticleSpider.utils.common import get_md5 class JobboleSpider(scrapy.Spider): name = 'jobbole' allowed_domains = ['blog.jobbole.com'] start_urls = ['http://blog.jobbole.com/all-posts/'] def parse(self, response): """ 1. 获取文章列表页中的文章url并交给scrapy下载后进行解析 2. 获取下一页的url并交给scrapy进行下载,下载完成后交给parse """ # 解析列表页中的所有文章url并交给scrapy下载后进行解析 post_nodes = response.css("#archive .floated-thumb .post-thumb a") for post_node in post_nodes: img_url = post_node.css("img::attr(src)").extract_first("") post_url = post_node.css("::attr(href)").extract_first("") yield Request(url=parse.urljoin(response.url, post_url), meta={"front_image_url": img_url}, callback=self.parse_detail) # 提取下一页并交给scrapy进行下载 next_url = response.css(".next.page-numbers::attr(href)").extract_first() if next_url: yield Request(url=parse.urljoin(response.url, next_url), callback=self.parse) def parse_detail(self, response): article_item = JobBoleArticleItem() # 通过Item_Loader加载Item item_loader = ArticleItemLoader(item=JobBoleArticleItem(), response=response) item_loader.add_css('title', '.entry-header h1::text') item_loader.add_value('url', response.url) item_loader.add_value('url_object_id', get_md5(response.url)) item_loader.add_css('create_date', 'p.entry-meta-hide-on-mobile::text') item_loader.add_value('front_image_url', response.meta.get("front_image_url", "")) item_loader.add_css('praise_nums', '.vote-post-up h10::text') item_loader.add_css('comment_nums', "a[href='#article-comment'] span::text") item_loader.add_css('fav_nums', '.bookmark-btn::text') item_loader.add_css('tags', 'p.entry-meta-hide-on-mobile a::text') item_loader.add_css('content', 'div.entry') article_item = item_loader.load_item() yield article_item
# items.py # -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # http://doc.scrapy.org/en/latest/topics/items.html import datetime import re import scrapy from scrapy.loader import ItemLoader from scrapy.loader.processors import MapCompose, TakeFirst, Join class ArticlespiderItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() pass def add_jobbole(value): return value+'-bobby' def data_convert(value): try: create_date = datetime.datetime.strptime(value, '%Y/%m/%d').date() except Exception as e: create_date = datetime.datetime.now().date() return create_date def get_nums(value): match_re = re.match(r'.*?(\d+).*', value) if match_re: nums = match_re.group(1) else: nums = 0 return nums def remove_comment_tags(value): # 去掉tag中提取的“评论” if '评论' in value: return '' return value def return_value(value): return value class ArticleItemLoader(ItemLoader): # 自定义item_loader default_output_processor = TakeFirst() class JobBoleArticleItem(scrapy.Item): title = scrapy.Field( input_processor=MapCompose(lambda x:x+'-jobbole', add_jobbole) ) create_date = scrapy.Field( input_processor=MapCompose(data_convert) ) url = scrapy.Field() url_object_id = scrapy.Field() front_image_url = scrapy.Field( output_processor=MapCompose(return_value) ) front_image_path = scrapy.Field() praise_nums = scrapy.Field( input_processor=MapCompose(get_nums) ) comment_nums = scrapy.Field( input_processor=MapCompose(get_nums) ) fav_nums = scrapy.Field( input_processor=MapCompose(get_nums) ) tags = scrapy.Field( input_processor=MapCompose(remove_comment_tags), output_processor=Join(',') ) content = scrapy.Field()
# pipeline.py # -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html import codecs import json import MySQLdb import MySQLdb.cursors from scrapy.pipelines.images import ImagesPipeline from scrapy.exporters import JsonItemExporter from twisted.enterprise import adbapi class ArticlespiderPipeline(object): def process_item(self, item, spider): return item class JsonWithEncodingPipeline: # 自定义Json文件的导出 def __init__(self): self.file = codecs.open('article.json', 'w', encoding='utf-8') def process_item(self, item, spider): lines = json.dumps(dict(item), ensure_ascii=False) + '\n' self.file.write(lines) return item def spider_closed(self, spider): self.file.close() class JsonExporterPipeline(object): # 调用scripy提供的JsonExporter导出Json文件 def __init__(self): self.file = open('articleExporter.json', 'wb') self.exporter = JsonItemExporter(self.file, encoding='utf-8', ensure_ascii=False) self.exporter.start_exporting() def close_spider(self, spider): self.exporter.finish_exporting() self.file.close() def process_item(self, item, spider): self.exporter.export_item(item) return item class MysqlPipeline(object): # 采用同步的机制写入MySQL def __init__(self): self.conn = MySQLdb.connect('127.0.0.1', 'root', '123', 'article_spider', charset='utf8', use_unicode=True) self.cursor = self.conn.cursor() def process_item(self, item, spider): insert_sql = """ insert into jobbole_article(url_object_id, title, url, create_date, fav_nums) Values ("%s", "%s", "%s", "%s", "%s") """ self.cursor.execute(insert_sql % (item['url_object_id'], item['title'], item['url'], item['create_date'], item['fav_nums'])) self.conn.commit() return item class MysqlTwistedPipeline(object): def __init__(self, dbpool): self.dbpool = dbpool @classmethod def from_settings(cls, settings): dbparms = dict( host=settings['MYSQL_HOST'], db=settings['MYSQL_DBNAME'], user=settings['MYSQL_USER'], passwd=settings['MYSQL_PASSWORD'], charset='utf8', cursorclass=MySQLdb.cursors.DictCursor, use_unicode=True ) dbpool = adbapi.ConnectionPool('MySQLdb', **dbparms) return cls(dbpool) def process_item(self, item, spider): # 使用Twisted将MySQL插入变成异步执行 query = self.dbpool.runInteraction(self.do_insert, item) query.addErrback(self.handle_error) return item def handle_error(self, failure): # 处理异步插入的异常 print(failure) def do_insert(self, cursor, item): # 执行具体的插入 insert_sql = """ insert into jobbole_article(url_object_id, title, url, create_date, fav_nums) Values ("%s", "%s", "%s", "%s", "%s") """ cursor.execute(insert_sql % (item['url_object_id'], item['title'], item['url'], item['create_date'], item['fav_nums'])) cursor.commit() class ArticleImagePipeline(ImagesPipeline): def item_completed(self, results, item, info): if 'front_image_url' in item: for ok, value in results: image_file_path = value['path'] item['front_image_path'] = image_file_path return item
#utils/common.py import hashlib def get_md5(url): if isinstance(url, str): url = url.encode('utf-8') m = hashlib.md5() m.update(url) return m.hexdigest() if __name__ == '__main__': print(get_md5('http://jobbole.com'))
# settings.py import os # Scrapy settings for ArticleSpider project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # http://doc.scrapy.org/en/latest/topics/settings.html # http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html # http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html BOT_NAME = 'ArticleSpider' SPIDER_MODULES = ['ArticleSpider.spiders'] NEWSPIDER_MODULE = 'ArticleSpider.spiders' # Crawl responsibly by identifying yourself (and your website) on the user-agent #USER_AGENT = 'ArticleSpider (+http://www.yourdomain.com)' # Obey robots.txt rules ROBOTSTXT_OBEY = False # Configure maximum concurrent requests performed by Scrapy (default: 16) #CONCURRENT_REQUESTS = 32 # Configure a delay for requests for the same website (default: 0) # See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay # See also autothrottle settings and docs #DOWNLOAD_DELAY = 3 # The download delay setting will honor only one of: #CONCURRENT_REQUESTS_PER_DOMAIN = 16 #CONCURRENT_REQUESTS_PER_IP = 16 # Disable cookies (enabled by default) #COOKIES_ENABLED = False # Disable Telnet Console (enabled by default) #TELNETCONSOLE_ENABLED = False # Override the default request headers: #DEFAULT_REQUEST_HEADERS = { # 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', # 'Accept-Language': 'en', #} # Enable or disable spider middlewares # See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html #SPIDER_MIDDLEWARES = { # 'ArticleSpider.middlewares.ArticlespiderSpiderMiddleware': 543, #} # Enable or disable downloader middlewares # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html #DOWNLOADER_MIDDLEWARES = { # 'ArticleSpider.middlewares.MyCustomDownloaderMiddleware': 543, #} # Enable or disable extensions # See http://scrapy.readthedocs.org/en/latest/topics/extensions.html #EXTENSIONS = { # 'scrapy.extensions.telnet.TelnetConsole': None, #} # Configure item pipelines # See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html ITEM_PIPELINES = { # 'ArticleSpider.pipelines.JsonExporterPipeline': 2, # 'scrapy.pipelines.images.ImagesPipeline': 1, 'ArticleSpider.pipelines.ArticleImagePipeline': 2, 'ArticleSpider.pipelines.MysqlPipeline': 1, } IMAGES_URLS_FIELD = 'front_image_url' project_dir = os.path.abspath(os.path.dirname(__file__)) IMAGES_STORE = os.path.join(project_dir, "images") # IMAGES_MIN_HEIGHT = 100 # IMAGES_MIN_WIDTH = 100 # Enable and configure the AutoThrottle extension (disabled by default) # See http://doc.scrapy.org/en/latest/topics/autothrottle.html #AUTOTHROTTLE_ENABLED = True # The initial download delay #AUTOTHROTTLE_START_DELAY = 5 # The maximum download delay to be set in case of high latencies #AUTOTHROTTLE_MAX_DELAY = 60 # The average number of requests Scrapy should be sending in parallel to # each remote server #AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0 # Enable showing throttling stats for every response received: #AUTOTHROTTLE_DEBUG = False # Enable and configure HTTP caching (disabled by default) # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings #HTTPCACHE_ENABLED = True #HTTPCACHE_EXPIRATION_SECS = 0 #HTTPCACHE_DIR = 'httpcache' #HTTPCACHE_IGNORE_HTTP_CODES = [] #HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage' MYSQL_HOST = '172.0.0.1' MYSQL_DBNAME = 'article_spider' MYSQL_USER = 'root' MYSQL_PASSWORD = '123'
本人是软件工程专业的在校大学本科生,喜欢编程的小伙伴可以加我QQ一起探讨,QQ:312805939