爬取伯乐在线文章中的封面图并保存在本地

首先还是和以往一样，分析页面源代码。不再说具体过程。图片保存在本地，所以要新建一个文件夹images

同时也要修改settings中的内容。最好使用相对路径来保存，这样子代码移植到别的机器上无需修改路径就可以直接运行。这就需要用到os模块。具体代码如下。

整个过程代码如下。

Jobbole.py

# -*- coding: utf-8 -*-
import scrapy
import re
from scrapy.http import Request
from urllib import parse
from ArticleSpider.items import JobBoleArticleItem
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:
image_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":image_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CSS选择器提取文章具体字段
front_image_url = response.meta.get("front_image_url","")#文章封面图
title = response.css(".entry-header h1::text").extract()[0]
create_date = response.css(".entry-meta-hide-on-mobile::text").extract()[0].strip().replace("·","").strip()
praise_numbers = response.css(".vote-post-up h10::text").extract()[0]
fav_nums = response.css("span.bookmark-btn::text").extract()[0]
match_re = re.match(".*?(d+).*", fav_nums)
if match_re:
fav_nums = int(match_re.group(1))
else:
fav_nums = 0
comment_nums = response.css("a[href='#article-comment'] span::text").extract()[0]
match_re = re.match(".*?(d+).*", comment_nums)
if match_re:
comment_nums = int(match_re.group(1))
else:
comment_nums = 0
content = response.css("div.entry").extract()[0]
tags = response.css("p.entry-meta-hide-on-mobile a::text").extract()[0]
article_item["title"] = title
article_item["url"] = response.url
article_item["create_date"] = create_date
article_item["comment_nums"] = comment_nums
article_item["content"] = content
article_item["tags"] = tags
article_item["praise_numbers"] = praise_numbers
article_item["fav_nums"] = fav_nums
article_item["front_image_url"] = [front_image_url]
yield article_item

# -*- coding: utf-8 -*-
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 = {
ITEM_PIPELINES = {
'ArticleSpider.middlewares.ArticlespiderSpiderMiddleware': 543,
'scrapy.pipelines.images.ImagesPipeline':1,
}
IMAGES_URLS_FIELD = "front_image_url"
project_dir = os.path.abspath(os.path.dirname(__file__))
IMAGES_STORE = os.path.join(project_dir,'images')
# 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.ArticlespiderPipeline': 300,
#}
# 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'

# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class ArticlespiderItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
pass
class JobBoleArticleItem(scrapy.Item):
url = scrapy.Field()
url_object_id = scrapy.Field()
title = scrapy.Field()
create_date = scrapy.Field()
praise_numbers = scrapy.Field()
fav_nums = scrapy.Field()
comment_nums = scrapy.Field()
content = scrapy.Field()
tags = scrapy.Field()
front_image_url = scrapy.Field()
front_image_path = scrapy.Field()

# -*- coding: utf-8 -*-
from scrapy.cmdline import execute
import sys
import os
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
execute(["scrapy","crawl","jobbole"])

最后

以上就是真实往事为你收集整理的爬取伯乐在线文章中的封面图并保存在本地的全部内容，希望文章能够帮你解决爬取伯乐在线文章中的封面图并保存在本地所遇到的程序开发问题。

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