第4章 scrapy爬取知名技术文章网站(2)

4-8~9 编写spider爬取jobbole的所有文章

# -*- coding: utf-8 -*-
import re
import scrapy
import datetime
from scrapy.http import Request
from urllib import parse
'''如果是py2 那就是import urlparse'''

from g0xukr.ArticleSpider.items import JobBoleArticleItem, ArticleItemLoader
from g0xukr.ArticleSpider.utils.common import get_md5

class JobboleSpider(scrapy.Spider):
    name = "jobbole"
    allowed_domains = ["python.jobbole.com"]
    start_urls = ['http://python.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下载后并进行解析
        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下载后并进行解析
        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)
            '''parse.urljoin(response.url, post_url)补全域名'''

        #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("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(".*?(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]

        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)

        article_item["url_object_id"] = get_md5(response.url)
        article_item["title"] = title
        article_item["url"] = response.url
        try:
            create_date = datetime.datetime.strptime(create_date, "%Y/%m/%d").date()
        except Exception as e:
            create_date = datetime.datetime.now().date()
        article_item["create_date"] = create_date
        article_item["front_image_url"] = [front_image_url]
        article_item["praise_nums"] = praise_nums
        article_item["comment_nums"] = comment_nums
        article_item["fav_nums"] = fav_nums
        article_item["tags"] = tags
        article_item["content"] = content
        yield article_item

4-10~12 items设计

一些零散的知识点：

1.meta传递值到item.py文件中

#例如：
yield Request(url=parse.urljoin(response.url, post_url), meta={"front_image_url":image_url}, callback=self.parse_detail)

2.extract_first('')使用

extract_first('') 比 extract()[0]好用，因为后者有风险，如果为空，就会出错。但是前者如果为空设置为' '，所以更好用。

3.response.meta.get()用法

response.meta.get('front_image_url','') 前一个引号是自己定义的名称，后一个空着，这样如果就不会抛异常

4.scrapy自动下载图片pipelines

ITEM_PIPELINES = {
     'scrapy.pipelines.images.ImagesPipeline': 1,
}

配置：

import os
IMAGES_URLS_FIELD='front\_image\_url' #'引号中要是一个列表，是图片地址的字段
project_dir=os.path.abspath(os.path.dirname(__file__))  #相对的路径，在其他电脑上也可以
IMAGES_STORE=os.path.join(project_dir,'存储图片文件名称') #放在同级settings.py目录下
'''如果要实现自己的需求，也可以重载相应的函数达到需求，在pipelines中建立类，继承ImagesPipeline就可以了'''

5.哈希表摘要算法，输出固定长度

python3模版：

def get_md5(url):   #传进来url
	if isinstance(url, str):  #判断是不是str，其实是判断是不是Unicode，python3中默认是Unicode编码
    	url = url.encode("utf-8") #转换成utf-8，哈希只认utf-8
	m = hashlib.md5() 
	m.update(url)
	return m.hexdigest()

python2模版：

# -*- coding:utf-8 -*-
import hashlib
def get_md5(url='123'):
    m = hashlib.md5()
    m.update(url)
    return m.hexdigest()

4-13 数据表设计和保存item到json文件

模版：

import codecs
import json
from scrapy.exporters import JsonItemExporter
class JsonWithEncodingPipeline(object):
	#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) + "
"
        self.file.write(lines)
        return item
    def spider_closed(self, spider):
        self.file.close()


class JsonExporterPipleline(object):
    #调用scrapy提供的json export导出json文件
    def __init__(self):
        self.file = open('articleexport.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

4-14~15 通过pipeline保存数据到mysql

模版：

pip install mysqlclint 是mysql的一个驱动

import pymysql
import pymysql.cursors	
class MysqlPipeline(object):
    #采用同步的机制写入mysql
    def __init__(self):
        self.conn = pymysql.connect('192.168.0.106', 'root', 'root', 'article_spider', charset="utf8", use_unicode=True)
        self.cursor = self.conn.cursor()

    def process_item(self, item, spider):
        insert_sql = """
            insert into jobbole_article(title, url, create_date, fav_nums)
            VALUES (%s, %s, %s, %s)
        """
        self.cursor.execute(insert_sql, (item["title"], item["url"], item["create_date"], item["fav_nums"]))
        self.conn.commit()


from twisted.enterprise import adbapi
class MysqlTwistedPipline(object):
	'''异步插入mysql'''
    def __init__(self, dbpool):
        self.dbpool = dbpool

    @classmethod
    def from_settings(cls, settings):
		'''传入settings的参数'''
        dbparms = dict(
            host = settings["MYSQL_HOST"],
            db = settings["MYSQL_DBNAME"],
            user = settings["MYSQL_USER"],
            passwd = settings["MYSQL_PASSWORD"],
            charset='utf8',
            cursorclass=pymysql.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, item, spider) #处理异常

    def handle_error(self, failure, item, spider):
        # 处理异步插入的异常
        print (failure)

    def do_insert(self, cursor, item):
        #执行具体的插入
        #根据不同的item 构建不同的sql语句并插入到mysql中
        insert_sql, params = item.get_insert_sql()
        print (insert_sql, params)
        cursor.execute(insert_sql, params)

4-16~17 scrapy item loader机制

模版：

scrapy item loader机制，便于以后的维护

items.p文件中

import datetime
import re

import scrapy
from scrapy.loader import ItemLoader
from scrapy.loader.processors import MapCompose, TakeFirst, Join

from utils.common import extract_num
from settings import SQL_DATETIME_FORMAT, SQL_DATE_FORMAT
from w3lib.html import remove_tags
def add_jobbole(value):
	return value+"-bobby"


def date_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(".*?(d+).*", value)
    if match_re:
        nums = int(match_re.group(1))
    else:
        nums = 0

    return nums

def return_value(value):
    return value


def remove_comment_tags(value):
    #去掉tag中提取的评论
    if "评论" in value:
        return ""
    else:
        return value

class ArticleItemLoader(ItemLoader):
    #自定义itemloader
    default_output_processor = TakeFirst()


class JobBoleArticleItem(scrapy.Item):
    title = scrapy.Field()
    create_date = scrapy.Field(
        input_processor=MapCompose(date_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()

    def get_insert_sql(self):
        insert_sql = """
            insert into jobbole_article(title, url, create_date, fav_nums, front_image_url, front_image_path,
            praise_nums, comment_nums, tags, content)
            VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s) ON DUPLICATE KEY UPDATE content=VALUES(fav_nums)
        """

        fron_image_url = ""
        # content = remove_tags(self["content"])

        if self["front_image_url"]:
            fron_image_url = self["front_image_url"][0]
        params = (self["title"], self["url"], self["create_date"], self["fav_nums"],
                  fron_image_url, self["front_image_path"], self["praise_nums"], self["comment_nums"],
                  self["tags"], self["content"])
        return insert_sql, params

spider.py文件中部分代码

def parse_detail(self, response):
    article_item = JobBoleArticleItem()
    front_image_url = response.meta.get("front_image_url", "")  # 文章封面图
    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", [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

作者：今孝

出处：http://www.cnblogs.com/jinxiao-pu/p/6721848.html

本文版权归作者和博客园共有，欢迎转载，但未经作者同意必须保留此段声明，且在文章页面明显位置给出原文连接。