scrapy框架项目：抓取全部知乎用户信息，并且保存至mongodb

标签：setting   eve   findall   insert   object   article   ons   pipeline   nes   

import scrapy
import json,time,re
from zhihuinfo.items import ZhihuinfoItem


class ZhihuSpider(scrapy.Spider):
    name = ‘zhihu‘
    allowed_domains = [‘www.zhihu.com‘]
    start_urls = [‘https://www.zhihu.com/api/v4/members/eve-lee-55/followees?include=data%5B*%5D.answer_count%2Carticles_count%2Cgender%2Cfollower_count%2Cis_followed%2Cis_following%2Cbadge%5B%3F(type%3Dbest_answerer)%5D.topics&offset=20&limit=20‘,]

    def parse(self, response):
        temp_data = json.loads(response.body.decode("utf-8"))["data"]
        count = len(temp_data)
        #如果用户信息数字低于18 说明已经到达最后一页
        if count <= 18:
            pass

        #如果没有达到最后一页，则改变offset促使爬虫翻页
        else:
            offset = re.findall(re.compile(r‘&offset=(.*?)&‘),response.url)[0]
            new_offset = int(offset) + 20
            print(new_offset)
            time.sleep(1)
            yield scrapy.Request("https://www.zhihu.com/api/v4/members/eve-lee-55/followees?include=data%5B*%5D.answer_count%2Carticles_count%2Cgender%2Cfollower_count%2Cis_followed%2Cis_following%2Cbadge%5B%3F(type%3Dbest_answerer)%5D.topics&offset="+str(new_offset)+"&limit=20",callback=self.parse,dont_filter=True)

        for i in  temp_data:
            #print(i)
            #print("***************"*10)
            #print(response.url)
            #print("***************" * 10)

            item = ZhihuinfoItem()
            item["name"] = i["name"]
            item["url_token"] = i["url_token"]
            item["headline"] = i["headline"]
            item["follower_count"] = i["follower_count"]
            item["answer_count"] = i["answer_count"]
            item["articles_count"] = i["articles_count"]
            item["id"] = i["id"]
            item["type"] = i["type"]

            with open("userinfo.txt") as f:
                user_list = f.read()

            #建立一个文档，把爬取过的用户信息其中的url_token写入，防止重复爬取用户
            if i["url_token"] not in user_list:
                with open("userinfo.txt","a") as f:  #"a" 是 追加 的意思
                    f.write(i["url_token"]+"-----")
                yield item
                #print(i["url_token"])

                #切换到新的用户的关注列表内
                #这样爬虫就不断蔓延，理论上就可以无限爬取完所有互动性强的活跃用户。
                new_url = "https://www.zhihu.com/api/v4/members/" + i["url_token"] + "/followees?include=data%5B*%5D.answer_count%2Carticles_count%2Cgender%2Cfollower_count%2Cis_followed%2Cis_following%2Cbadge%5B%3F(type%3Dbest_answerer)%5D.topics&offset=20&limit=20"
                time.sleep(1)
                yield scrapy.Request(url=new_url,callback=self.parse)

pipelines

import pymongo
from scrapy.conf import settings

class ZhihuinfoPipeline(object):
    def __init__(self):
        host = settings["MONGODB_HOST"]
        port = settings["MONGODB_PORT"]
        dbname = settings["MONGODB_DBNAME"]
        client = pymongo.MongoClient(host=host,port=port)
        tdb = client[dbname]
        self.post = tdb[settings["MONGODB_DOCNAME"]]

    def process_item(self, item, spider):
        zhihuzhihu = dict(item)
        self.post.insert(zhihuzhihu)
        return item


items

import scrapy


class ZhihuinfoItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    name = scrapy.Field()
    url_token = scrapy.Field()
    headline = scrapy.Field()
    follower_count = scrapy.Field()
    answer_count = scrapy.Field()
    articles_count= scrapy.Field()
    id = scrapy.Field()
    type = scrapy.Field()

scrapy框架项目：抓取全部知乎用户信息，并且保存至mongodb

标签：setting   eve   findall   insert   object   article   ons   pipeline   nes   

原文地址：https://www.cnblogs.com/cwkcwk/p/9710805.html