由於在爬取知乎是在伯樂在線之后的,需要參考前面的代碼,有相同的部分就沒有再加入。
在zhihu.py 中
import scrapy
import re
from urllib import parse
from selenium import webdriver
from scrapy.http import Request
from scrapy.loader import ItemLoader
import time
import pickle
import datetime
import json
from ArticleSpider.items import ZhihuQuestionItem, ZhihuAnswerItem
try:
import urlparse as parse
except:
from urllib import parse
class ZhihuSpider(scrapy.Spider):
name = 'zhihu'
allowed_domains = ['www.zhihu.com']
start_urls = ['https://www.zhihu.com/']
#question的第一頁answer的請求url
start_answer_url = "https://www.zhihu.com/api/v4/questions/{0}/answers?sort_by=default&include=data%5B%2A%5D.is_normal%2Cis_sticky%2Ccollapsed_by%2Csuggest_edit%2Ccomment_count%2Ccollapsed_counts%2Creviewing_comments_count%2Ccan_comment%2Ccontent%2Ceditable_content%2Cvoteup_count%2Creshipment_settings%2Ccomment_permission%2Cmark_infos%2Ccreated_time%2Cupdated_time%2Crelationship.is_author%2Cvoting%2Cis_thanked%2Cis_nothelp%2Cupvoted_followees%3Bdata%5B%2A%5D.author.is_blocking%2Cis_blocked%2Cis_followed%2Cvoteup_count%2Cmessage_thread_token%2Cbadge%5B%3F%28type%3Dbest_answerer%29%5D.topics&limit={1}&offset={2}"
# start_answer_url ="https://www.zhihu.com/api/v4/questions/{0}/answers?sort_by=default&include=data%5B%2A%5D.is_normal%2Cadmin_closed_comment%2Creward_info%2Cis_collapsed%2Cannotation_action%2Cannotation_detail%2Ccollapse_reason%2Cis_sticky%2Ccollapsed_by%2Csuggest_edit%2Ccomment_count%2Ccan_comment%2Ccontent%2Ceditable_content%2Cvoteup_count%2Creshipment_settings%2Ccomment_permission%2Ccreated_time%2Cupdated_time%2Creview_info%2Crelevant_info%2Cquestion%2Cexcerpt%2Crelationship.is_authorized%2Cis_author%2Cvoting%2Cis_thanked%2Cis_nothelp%2Cupvoted_followees%3Bdata%5B%2A%5D.mark_infos%5B%2A%5D.url%3Bdata%5B%2A%5D.author.follower_count%2Cbadge%5B%3F%28type%3Dbest_answerer%29%5D.topics&limit=3&offset=3"
# start_answer_url="https://www.zhihu.com/api/v4/questions/22044254/answers?sort_by=default&include=data%5B%2A%5D.is_normal%2Cadmin_closed_comment%2Creward_info%2Cis_collapsed%2Cannotation_action%2Cannotation_detail%2Ccollapse_reason%2Cis_sticky%2Ccollapsed_by%2Csuggest_edit%2Ccomment_count%2Ccan_comment%2Ccontent%2Ceditable_content%2Cvoteup_count%2Creshipment_settings%2Ccomment_permission%2Ccreated_time%2Cupdated_time%2Creview_info%2Crelevant_info%2Cquestion%2Cexcerpt%2Crelationship.is_authorized%2Cis_author%2Cvoting%2Cis_thanked%2Cis_nothelp%2Cupvoted_followees%3Bdata%5B%2A%5D.mark_infos%5B%2A%5D.url%3Bdata%5B%2A%5D.author.follower_count%2Cbadge%5B%3F%28type%3Dbest_answerer%29%5D.topics&limit=3&offset=3"
headers = {
"HOST": "www.zhihu.com",
"Referer": 'https://www.zhihu.com',
'User-Agent':"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.162 Safari/537.36"
}
custom_settings = {
"COOKIES_ENABLED": True
}
def parse(self, response):
"""
提取出html頁面中的所有url 並跟蹤這些url進行一步爬取
如果提取的url中格式為 /question/xxx 就下載之后直接進入解析函數
"""
all_urls = response.css("a::attr(href)").extract()
all_urls = [parse.urljoin(response.url, url) for url in all_urls]
#使用lambda函數對於每一個url進行過濾,如果是true放回列表,返回false去除。
all_urls = filter(lambda x:True if x.startswith("https") else False, all_urls)
for url in all_urls:
match_obj = re.match("(.*zhihu.com/question/(\d+))(/|$).*", url)
if match_obj:
# 如果提取到question相關的頁面則下載后交由提取函數進行提取
request_url = match_obj.group(1)
yield scrapy.Request(request_url, headers=self.headers, callback=self.parse_question)
else:
# 如果不是question頁面則直接進一步跟蹤
yield scrapy.Request(url, headers=self.headers, callback=self.parse)
def parse_question(self, response):
#處理question頁面, 從頁面中提取出具體的question item
# if "QuestionHeader-title" in response.text:
# #處理新版本
# match_obj = re.match("(.*zhihu.com/question/(\d+))(/|$).*", response.url)
# if match_obj:
# question_id = int(match_obj.group(2))
#
# item_loader = ItemLoader(item=ZhihuQuestionItem(), response=response)
# item_loader.add_css("title", "h1.QuestionHeader-title::text")
# item_loader.add_css("content", ".QuestionHeader-detail span::text")
# item_loader.add_value("url", response.url)
# item_loader.add_value("zhihu_id", question_id)
# item_loader.add_css("answer_num", ".Question-mainColumn a::text")
# item_loader.add_css("comments_num", ".QuestionHeader-Comment span::text")
# item_loader.add_css("watch_user_num", ".QuestionFollowStatus-counts strong::text")
# item_loader.add_css("topics", ".QuestionHeader-topics .Popover div::text")
#
# question_item = item_loader.load_item()
# else:
#處理老版本頁面的item提取
match_obj = re.match("(.*zhihu.com/question/(\d+))(/|$).*", response.url)
if match_obj:
question_id = int(match_obj.group(2))
item_loader = ItemLoader(item=ZhihuQuestionItem(), response=response)
# item_loader.add_css("title", ".zh-question-title h2 a::text")
# item_loader.add_xpath("title", "//*[@id='zh-question-title']/h2/a/text()|//*[@id='zh-question-title']/h2/span/text()")
# item_loader.add_css("content", "#zh-question-detail")
# item_loader.add_value("url", response.url)
# item_loader.add_value("zhihu_id", question_id)
# item_loader.add_css("answer_num", "#zh-question-answer-num::text")
# item_loader.add_css("comments_num", "#zh-question-meta-wrap a[name='addcomment']::text")
# # item_loader.add_css("watch_user_num", "#zh-question-side-header-wrap::text")
# item_loader.add_xpath("watch_user_num", "//*[@id='zh-question-side-header-wrap']/text()|//*[@class='zh-question-followers-sidebar']/div/a/strong/text()")
# item_loader.add_css("topics", ".zm-tag-editor-labels a::text")
item_loader.add_css("title", ".QuestionHeader-title::text")
item_loader.add_css("content", ".QuestionHeader-detail span::text")
item_loader.add_value("url", response.url)
item_loader.add_value("zhihu_id", question_id)
item_loader.add_css("answer_num", ".List-headerText span::text")
item_loader.add_css("comments_num", ".QuestionHeader-Comment span::text")
item_loader.add_css("watch_user_num", ".QuestionFollowStatus-counts strong::text")
item_loader.add_css("topics", ".QuestionHeader-topics .Popover div::text")
question_item = item_loader.load_item()
yield scrapy.Request(self.start_answer_url.format(question_id, 20, 0), headers=self.headers, callback=self.parse_answer)
yield question_item
def parse_answer(self, reponse):
#處理question的answer
ans_json = json.loads(reponse.text)
is_end = ans_json["paging"]["is_end"]
next_url = ans_json["paging"]["next"]
#提取answer的具體字段
for answer in ans_json["data"]:
answer_item = ZhihuAnswerItem()
answer_item["zhihu_id"] = answer["id"]
answer_item["url"] = answer["url"]
answer_item["question_id"] = answer["question"]["id"]
answer_item["author_id"] = answer["author"]["id"] if "id" in answer["author"] else None
answer_item["content"] = answer["content"] if "content" in answer else None
answer_item["parise_num"] = answer["voteup_count"]
answer_item["comments_num"] = answer["comment_count"]
answer_item["create_time"] = answer["created_time"]
answer_item["update_time"] = answer["question"]["updated_time"]
answer_item["crawl_time"] = datetime.datetime.now()
yield answer_item
if not is_end:
yield scrapy.Request(next_url, headers=self.headers, callback=self.parse_answer)
def start_requests(self):
browser = webdriver.Chrome(executable_path="D:/Temp/chromedriver.exe")
# browser.get("https://www.zhihu.com/signup?next=%2F")
browser.get("https://www.zhihu.com/signin")
browser.find_element_by_css_selector(".SignFlow-accountInput.Input-wrapper input").send_keys("account")#輸入正確的賬戶
browser.find_element_by_css_selector(".SignFlow-password input").send_keys("password")#輸入正確的密碼
print(browser.page_source)
browser.find_element_by_css_selector(".Button.SignFlow-submitButton").click()
time.sleep(10)
Cookies=browser.get_cookies()
# print(Cookies)
cookie_dict={}
for cookie in Cookies:
f=open('C:/Users/Dell/scrapytest/Scripts/ArticleSpider'+cookie['name']+'.zhihu','wb')
pickle.dump(cookie,f)
f.close()
cookie_dict[cookie['name']]=cookie['value']
browser.close()
return[scrapy.Request(url=self.start_urls[0], headers=self.headers,dont_filter=True,cookies=cookie_dict)]
在main.py
from scrapy.cmdline import execute import sys import os sys.path.append(os.path.dirname(os.path.abspath(__file__))) # execute(["scrapy", "crawl", "jobbole"]) execute(["scrapy", "crawl", "zhihu"])
在items中
import re
from scrapy.loader import ItemLoader
from scrapy.loader.processors import MapCompose, TakeFirst, Join
from ArticleSpider.settings import SQL_DATETIME_FORMAT, SQL_DATE_FORMAT
from ArticleSpider.utils.common import extract_num
from w3lib.html import remove_tags
class ArticlespiderItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
pass
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 remove_comment_tags(value):
#去掉tag中提取的評論
if "評論" in value:
return ""
else:
return value
def return_value(value):
return value
def exclude_none(value):
if value:
return value
else:
value = "無"
return value
class ZhihuQuestionItem(scrapy.Item): #知乎的問題 item zhihu_id = scrapy.Field() topics = scrapy.Field() url = scrapy.Field() title = scrapy.Field() content = scrapy.Field( input_processor=MapCompose(exclude_none), ) answer_num = scrapy.Field() comments_num = scrapy.Field() watch_user_num = scrapy.Field() click_num = scrapy.Field() crawl_time = scrapy.Field() def get_insert_sql(self): #插入知乎question表的sql語句 insert_sql = """ insert into zhihu_question(zhihu_id, topics, url, title, content, answer_num, comments_num, watch_user_num, click_num, crawl_time ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s) ON DUPLICATE KEY UPDATE content=VALUES(content), answer_num=VALUES(answer_num), comments_num=VALUES(comments_num), watch_user_num=VALUES(watch_user_num), click_num=VALUES(click_num) """ zhihu_id = self["zhihu_id"][0] topics = ",".join(self["topics"]) url = self["url"][0] title = "".join(self["title"]) # content = "".join(self["content"]) # answer_num = extract_num("".join(self["answer_num"])) # # comments_num = extract_num("".join(self["comments_num"])) try: content = "".join(self["content"]) except BaseException: content = "無" try: answer_num = extract_num("".join(self["answer_num"])) except BaseException: answer_num = 0 comments_num = extract_num("".join(self["comments_num"])) if len(self["watch_user_num"]) == 2: watch_user_num = int(self["watch_user_num"][0]) click_num = int(self["watch_user_num"][1]) else: watch_user_num = int(self["watch_user_num"][0]) click_num = 0 crawl_time = datetime.datetime.now().strftime(SQL_DATETIME_FORMAT) params = (zhihu_id, topics, url, title, content, answer_num, comments_num, watch_user_num, click_num, crawl_time) return insert_sql, params class ZhihuAnswerItem(scrapy.Item): #知乎的問題回答item zhihu_id = scrapy.Field() url = scrapy.Field() question_id = scrapy.Field() author_id = scrapy.Field() content = scrapy.Field() parise_num = scrapy.Field() comments_num = scrapy.Field() create_time = scrapy.Field() update_time = scrapy.Field() crawl_time = scrapy.Field() def get_insert_sql(self): #插入知乎回答表的sql語句 insert_sql = """ insert into zhihu_answer(zhihu_id, url, question_id, author_id, content, parise_num, comments_num, create_time, update_time, crawl_time ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s) ON DUPLICATE KEY UPDATE content=VALUES(content), comments_num=VALUES(comments_num), parise_num=VALUES(parise_num), update_time=VALUES(update_time) """ create_time = datetime.datetime.fromtimestamp(self["create_time"]).strftime(SQL_DATETIME_FORMAT) update_time = datetime.datetime.fromtimestamp(self["update_time"]).strftime(SQL_DATETIME_FORMAT) params = ( self["zhihu_id"], self["url"], self["question_id"], self["author_id"], self["content"], self["parise_num"], self["comments_num"], create_time, update_time, self["crawl_time"].strftime(SQL_DATETIME_FORMAT), ) return insert_sql, params
在setting中
import os
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 https://doc.scrapy.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 = True
# 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 https://doc.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'ArticleSpider.middlewares.ArticlespiderSpiderMiddleware': 543,
#}
# Enable or disable downloader middlewares
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'ArticleSpider.middlewares.ArticlespiderDownloaderMiddleware': 543,
#}
# Enable or disable extensions
# See https://doc.scrapy.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# 'scrapy.extensions.telnet.TelnetConsole': None,
#}
# Configure item pipelines
# See https://doc.scrapy.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
'ArticleSpider.pipelines.ArticlespiderPipeline': 300,
# 'scrapy.pipelines.images.ImagesPipeline': 1,
# 'ArticleSpider.pipelines.ArticleImagePipeline':1,
'ArticleSpider.pipelines.JsonExporterPipeline':2,
# 'ArticleSpider.pipelines.MysqlPipeline': 4,
'ArticleSpider.pipelines.MysqlTwistedPipline': 1,
}
IMAGES_URLS_FIELD = "front_image_url"
project_dir = os.path.abspath(os.path.dirname(__file__))
IMAGES_STORE = os.path.join(project_dir, 'images')
import sys
BASE_DIR = os.path.dirname(os.path.abspath(os.path.dirname(__file__)))
sys.path.insert(0, os.path.join(BASE_DIR, 'ArticleSpider'))
USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.162 Safari/537.36"
# Enable and configure the AutoThrottle extension (disabled by default)
# See https://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 https://doc.scrapy.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 = "localhost"
MYSQL_DBNAME = "article_spider"
MYSQL_USER = "root"
MYSQL_PASSWORD = "123456"
SQL_DATETIME_FORMAT = "%Y-%m-%d %H:%M:%S"
SQL_DATE_FORMAT = "%Y-%m-%d"
