def parse(self, response): res = Selector(response) items = RenrenchesipderItem() items['id'] = res.xpath('//div[@class="detail-wrapper"]/@data-encrypt-id').extract()[0] # 标题 items['title'] = res.xpath('//div[@class="title"]/h1/text()').extract()[0] # 客户出价 items['price'] = res.xpath('//div[@class="middle-content"]/div/p[2]/text()').extract()[0] # 市场价 items['new_car_price'] = res.xpath('//div[@class="middle-content"]/div/div[1]/span/text()').extract()[0] # 首付款 down_payment = res.xpath('//div[@class="list"]/p[@class="money detail-title-right-tagP"]/text()') # 月供 monthly_payment = res.xpath('//[@id="basic"]/div[2]/div[2]/div[1]/div[3]/div[2]/p[5]/text()') # 判断是否可以分期购买 if down_payment and monthly_payment: items['staging_info'] = [down_payment.extract()[0], monthly_payment.extract()[0]] # 服务费 items['service_fee'] = res.xpath('///div[1]/p[2]/strong/text()').extract()[0] # 服务项 items['service'] = res.xpath('//[@id="js-box-service"]/table/tr/td/table/tr/td/text()').extract() # 车辆上牌时间里程外迁信息 items['info'] = res.xpath('///div[2]/div[2]/div[1]/div[4]/ul/li/div/p/strong/text()').extract() # 车辆排量 items['displacement'] = \ res.xpath('//[@id="basic"]/div[2]/div[2]/div[1]/div[4]/ul/li[4]/div/strong/text()').extract()[0] # 车辆上牌城市 items['registration_city'] = res.xpath('///@licensed-city').extract()[0] # 车源号 items['options'] = \ res.xpath('//*[@id="basic"]/div[2]/div[2]/div[1]/div[5]/p/text()').extract()[0].strip().split("：")[1] # 判断是都有图片 if res.xpath('//div[@class="info-recommend"]/div/img/@src'): # 车辆图片 items['car_img'] = res.xpath('//div[@class="info-recommend"]/div/img/@src').extract()[0] # 车辆所在城市 items['city'] = res.xpath('//div[@rrc-event-scope="city"]/a[@class="choose-city"]/text()').extract()[0].strip() # 车辆颜色 items['color'] = res.xpath('//div[@class="card-table"]/table/tr/td[2]/text()').extract()[0] 解释一下每一句话

Error：in ./node-modules/axios/lib/platform/index.js

java.text.ParseException: Unparseable date: 2/10/2010 15:20:05

NULL 博文链接：https://speed-guo.iteye.com/blog/903163

android-parse-demo:www.parse.com

Android解析示例 parse.com dependencies { compile ' com.parse.bolts:bolts-android:1.2.1 ' }

def parse_book_info(self, url): response = self.get_response(url=url) selector = Selector(text=response.text) page = selector.xpath("//div[@class='paginator']/a[last()]/text()").get()

这段代码定义了一个名为 parse_book_info 的方法，用于解析图书信息。它接受一个参数 url，表示要解析的页面的URL。首先，它调用了之前定义的 get_response 方法来发送 HTTP 请求并获取响应。然后，使用 ...

import scrapy from scuw.items import ScuwItem class DushuSpider(scrapy.Spider): name = "dushu" allowed_domains = ["www.dushu.com"] start_urls = ["https://www.dushu.com/lianzai/"] def parse(self, response): print('=================') li_list = response.xpath('//div[@class="bookslist"]//div[@class="book-info"]') for li in li_list: name = li.xpath('.//a/text()').extract_first() href = li.xpath('.//a/@href').extract_first() url = "https://www.dushu.com"+href yield scrapy.Request(url=url, callback=self.response_second, meta={'name': name}) def response_second(self, response): src = response.xpath('//div[@class="bookdetails-left"]//div[@class="pic"]/img/@src').extract_first() name = response.meta['name'] data = ScuwItem(src=src, name=name) yield data

def parse(self, response): print('=================') li_list = response.xpath('//div[@class="bookslist"]//div[@class="book-info"]') for li in li_list: name = li.xpath('.//a/text()').extract_first...

import scrapy from yg.items import YgItem #引入定义好的item class YgspiderSpider(scrapy.Spider): name="ygspider" alllowed_domains=["sun0769.com"] start_urls = ["https://wz.sun0769.com/political/index/politicsNewest?id=1&page=1"] def parse(self, response): lilist =response.xpath('//ul[@class="title-state-ul"]/li') for li in lilist: item =YgItem() item['id']= li.xpath('./span[1]/text()').extract_first() item['status']= li.xpath('./span[2]/text()').extract_first() item['title']= li.xpath('./span[3]/a/text()').extract_first() infohref='https://wz.sun0769.com'+li.xpath('./span[3]/a/@href').extract_first() item['retime']= li.xpath('./span[4]/text()').extract_first() item['asktime']= li.xpath('./span[5]/text()').extract_first() #解析详情页 yield scrapy.Request(url=infohref,callback=self.parseinfo,meta={'item':item}) # print(item) #翻页 next_page='https://wz.sun0769.com'+response.xpath('//[@class="arrow-page prov_rota"]/@href').extract_first() if next_page: yield scrapy.Request(url=next_page,callback=self.parse) print(next_page) pass def parseinfo(self, response): item =response.meta['item'] pass上述代码报错，希望改正一下

item['id'] = li.xpath('./span[1]/text()').extract_first() item['status'] = li.xpath('./span[2]/text()').extract_first() item['title'] = li.xpath('./span[3]/a/text()').extract_first() infohref = '...

class DouBanBook(object): def init(self, start_url, headers, queue): self.start_url = start_url self.headers = headers self.queue = queue def get_response(self, url): try: session = requests.Session() response = session.get(url, headers=self.headers) response.encoding = "utf-8" response.raise_for_status() return response except Exception as e: logging.warn(e.args, exc_info=False) logging.basicConfig(level=logging.WARN, filename="doubanbook.log", filemode="w", format='%(asctime)s %(filename)s [line:%(lineno)d] %(levelname)s %(message)s', datefmt='%a, %d %b %Y %H:%M:%S') # 获取图书标签页信息和链接 def parse_start_url(self, response): selector = Selector(text=response.text) # td_list = selector.xpath("//div[@class='article']/div[@class='']/div/table/tbody/tr/td") td_list = selector.xpath("//table[@class='tagCol']/tbody/tr/td") for td in td_list: items = {} items['book_tag'] = td.xpath("./a/text()").get() # 图书标签 tag_href = td.xpath("./a/@href").get() # 标签链接 tag_url = "https://book.douban.com" + tag_href self.queue.put(tag_url)

- parse_start_url(self, response): 这个方法用于解析起始URL的响应，并提取图书标签页信息和链接。它使用 parsel 库解析 HTML 页面，然后使用 XPath 表达式提取目标数据。最后，将标签链接放入队列中。该类...

请帮我将referer_url添加到Request的Referer中，并在Request中使用referer: def parse(self, response): rs = json.loads(response.text) data = rs.get('items') for res_item in data: movie_item = newmovieItem() movie_item['movie_id'] = res_item.get('id') uri = res_item.get('uri') re_url = str(uri).replace("douban://douban.com/movie/", "https://movie.douban.com/subject/") referer_url = re_url + '/' detail_url = str(uri).replace("douban://douban.com/movie/", "https://www.douban.com/doubanapp/dispatch?uri=/movie/") print(detail_url) movie_item['url'] = detail_url yield Request(url=detail_url, callback=self.parse_detail, cb_kwargs={'item': movie_item}, dont_filter=True )

def parse(self, response): rs = json.loads(response.text) data = rs.get('items') for res_item in data: movie_item = newmovieItem() movie_item['movie_id'] = res_item.get('id') uri = res_item.get...

import scrapy class WeatherSpider(scrapy.Spider): name = 'weather' allowed_domains = ['tianqi.com'] start_urls = ['https://www.tianqi.com/'] def parse(self, response): city = 'beijing' # 自选城市 url = f'https://tianqi.com/{city}/' yield scrapy.Request(url, callback=self.parse_weather) def parse_weather(self, response): date = response.css('.week>p::text').get() weather = response.css('.weather span::text').get() temperature = response.css('.weather .temp::text').get() humidity = response.css('.weather .shidu::text').get() wind = response.css('.weather .zi .name::text').get() with open('weather.txt', 'a', encoding='utf-8') as f: f.write(f'{date} {weather} {temperature} {humidity} {wind}\n'上面的代码运行后在cmd中显示<403https://www.tianqi.com/>:HTTP status code is not handled or not allowed如何解决)

def handle_error(self, failure): self.logger.error(repr(failure)) 然后在 Request 中添加 errback 参数，将错误处理函数传入即可： yield scrapy.Request(url, headers=headers, callback=self.parse...

import scrapy from dangdang.items import DangdangItem from scrapy.http import Request import csv class DdSpider(scrapy.Spider): name = 'dd' allowed_domains = ['dangdang.com'] start_urls = ['http://category.dangdang.com/pg1-cid4008154.html'] def parse(self, response): item=DangdangItem() item["title"]=response.xpath("//a[@name='itemlist-picture']/@title").extract() item["link"]=response.xpath("//a[@name='itemlist-picture']/@href").extract() item["comment"]=response.xpath("//a[@name='itemlist-review']/text()").extract() yield item # 解析网页内容并获取数据 item = [] # 将数据写入csv文件 with open('data.csv', 'w', newline='') as csvfile: writer = csv.writer(csvfile) writer.writerow(['titlle', 'link', 'comment']) # 写入表头 for row in item: writer.writerow(row) #翻页，一直到80页 for i in range(2,81): url='http://category.dangdang.com/pg+'+str(i)+'-cid4008154.html' yield Request(url,callback=self.parse)这串代码爬取的内容写不进csv文件里怎么办

def parse(self, response): item=DangdangItem() item["title"]=response.xpath("//a[@name='itemlist-picture']/@title").extract() item["link"]=response.xpath("//a[@name='itemlist-picture']/@href")....

import scrapy from ychouse.items import YchouseItem # 导入item class EsfSpider(scrapy.Spider): name = "esf" allowed_domains = ["allowdomians"] start_urls = ["https://fc.cqyc.net/resoldhome/esf/list"] def parse(self, response): lilist = response.xpath('/html/body/div[6]/div[3]/ul/li') # print(lilist) for li in lilist: item = YchouseItem() #实例化item item["title"] = li.xpath('./div[2]/p[1]/a/text()').extract_first() item['href'] ='https://fc.cqyc.net' + li.xpath('./div[2]/p[1]/a/@href').extract_first() item['housetype'] = li.xpath('./div[2]/p[2]/span[1]/text()').extract_first() item['floor'] = li.xpath('./div[2]/p[2]/span[2]/text()').extract_first() # print(item) yield scrapy.Request(item['href'],callback=self.parseinfo,meta={'item':item}) #翻页 # next_url = 'https://fc.cqyc.net' + response.xpath('//span[@class="next-page"]/../@href').extract_first() # if next_url != response.url: # yield scrapy.Request(url=next_url,callback=self.parse) pass def parseinfo(self,response): item = response.meta['item'] item['houseimg']= response.xpath('/html/body/div[4]/div/div[3]/div[2]/ul/li[1]/img/@src').extract_first() print(item)

其中，使用了XPath语法来解析HTML页面，将解析得到的信息存储到自定义的Item对象中，最后使用yield返回给Scrapy框架。同时，在进入详情页时，使用了Scrapy的meta参数将Item对象传递给了回调函数parseinfo，以便在该...

解释一下import scrapy from myspider.items import MyspiderItem import json class MovieSpider(scrapy.Spider): name = 'movie' allowed_domains = ['ssr1.scrape.center'] start_urls = ['http://ssr1.scrape.center/'] def parse(self, response): result = response.xpath('//div[@class="el-card item m-t is-hover-shadow"]') # print(result) for a in result: item = MyspiderItem() item['剧名'] = a.xpath('.//h2[@class="m-b-sm"]/text()').get() item['评分'] = a.xpath('.//p[@class="score m-t-md m-b-n-sm"]/text()').get().strip() item['国家或地区'] = a.xpath('.//div[@class="m-v-sm info"]/span[1]/text()').get() item['时长'] = a.xpath('.//div[@class="m-v-sm info"]/span[3]/text()').get() item['上映日期'] = a.xpath('.//div[@class="m-v-sm info"][2]/span/text()').get() item['图片'] = a.xpath('.//*[@id="detail"]/a/img').get() url = a.xpath('.//a[@class="name"]/@href').get() # print(url) yield item

5.使用XPath表达式从HTML页面中提取电影的信息，包括电影名称、“评分”、“国家或地区”、“时长”、“上映日期”和“图片”。 6.使用提取的URL，调用“yield”方法将“item”对象作为生成器返回，实现对多个电影...

import scrapy class WeatherSpider(scrapy.Spider): name = 'weather' allowed_domains = ['tianqi.com'] start_urls = ['https://tianqi.com/'] def parse(self, response): city = input("请输入您要查询的城市：") url = f'https://tianqi.com/{city}/' yield scrapy.Request(url, callback=self.parse_weather) def parse_weather(self, response): date = response.xpath('//div[@class="day7"]//li//h1/text()') weather = response.xpath('//div[@class="day7"]//li//p[@class="wea"]/@title') temperature = response.xpath('//div[@class="day7"]//li//p[@class="tem"]//span/text()') wind = response.xpath('//div[@class="day7"]//li//p[@class="win"]//span/@title') with open('weather.txt', 'w', encoding='utf-8') as f: for i in range(len(date)): f.write(f'{date[i].extract()} {weather[i].extract()} {temperature[i].extract()} {wind[i].extract()}\n')

感谢您提供的代码。这是一个爬取天气信息的爬虫程序，但是它确实没有在代码中指定城市名称。我建议您将该程序中的 city 变量的默认值设置为您想要的城市名称，例如： city = "北京" ...

import scrapy class WeatherSpider(scrapy.Spider): name = 'weather' allowed_domains = ['tianqi.com'] start_urls = ['https://www.tianqi.com/'] def parse(self, response): city = "上海" # 自选城市 url = f'https://www.tianqi.com/{city}/' yield scrapy.Request(url, callback=self.parse_weather) def parse_weather(self, response): date = response.xpath('//div[@class="day7"]//li//h1/text()') weather = response.xpath('//div[@class="day7"]//li//p[@class="wea"]/@title') temperature = response.xpath('//div[@class="day7"]//li//p[@class="tem"]//span/text()') wind = response.xpath('//div[@class="day7"]//li//p[@class="win"]//span/@title') with open('weather.txt', 'w', encoding='utf-8') as f: for i in range(len(date)): f.write(f'{date[i].extract()} {weather[i].extract()} {temperature[i].extract()} {wind[i].extract()}\n')这个代码运行后无法找到weather.txt是什么情况

这个代码的目的是爬取天气网站的数据，并将数据写入到名为 "weather.txt" 的文件中。如果你无法找到这个文件，可能是因为它没有被正确地创建。你可以尝试在代码中添加一些调试信息，以查看是否有任何错误： ...

帮我将以下代码写注释# coding=gbk # -- coding:uft-8 -- # 贝壳网小区 import requests from lxml import etree from time import sleep import hashlib from urllib import parse import pandas as pd def getPosi(tar): try: ak = 'C8rQZy1askzzMtdY3ChAZUer1P0PRjI0' sk = 'shShi1VLCkH1gGR4v75d2LTnrn2Vm5Mg' add = f'/geocoding/v3/?address={tar}&output=json&ak={ak}&city=大连市' add = parse.quote(add, safe="/:=&?#+!$,;'@()*[]") sn = hashlib.md5(parse.quote_plus(add + sk).encode('utf-8')).hexdigest() url = f'https://api.map.baidu.com{add}&sn={sn}' dic = requests.get(url).json() lat = dic['result']['location']['lat'] lng = dic['result']['location']['lng'] return lat, lng except: return None, None def collect(): items = { 'ganjingzi': 22, 'zhongshan': 19, 'shahekou': 14, 'xigang': 12 } resLs = [] for key in items: for page in range(items[key]): page += 1 url = f'https://dl.ke.com/xiaoqu/{key}/pg{page}/' headers = { 'User-Agent': ua, 'Referer': url } while True: try: res = requests.get(url=url, headers=headers, timeout=(5, 5)).content.decode('utf-8') break except: print('again') tree = etree.HTML(res) for li in tree.xpath('//ul[@class="listContent"]/li'): href = li.xpath('./a/@href')[0] while True: try: res = requests.get(url=href, headers=headers, timeout=(5, 5)).content.decode('utf-8') break except: print('again') tree = etree.HTML(res) dic = { 'href': href, 'key': key, 'name': tree.xpath('//h1/@title')[0], 'price': (tree.xpath('//span[@class="xiaoquUnitPrice"]/text()') + [''])[0], 'property': tree.xpath('//span[@class="xiaoquInfoContent"]/text()')[1].strip(), 'building': tree.xpath('//span[@class="xiaoquInfoContent"]/text()')[4].strip(), 'house': tree.xpath('//span[@class="xiaoquInfoContent"]/text()')[5].strip() } dic['lat'], dic['lng'] = getPosi(dic['name']) print(dic) resLs.append(dic) sleep(3) df = pd.DataFrame(resLs) df.to_excel('贝壳网小区.xlsx', encoding='utf-8', index=False) if name == 'main': ua = 'Mozilla/5.0(WindowsNT10.0;Win64;x64)AppleWebKit/537.36(KHTML,likeGecko)Chrome/91.0.4472.106Safari/537.36' collect()

add = parse.quote(add, safe="/:=&?#+!$,;'@()*[]") # 对地址进行URL编码 sn = hashlib.md5(parse.quote_plus(add + sk).encode('utf-8')).hexdigest() # 对地址进行签名 url = f'...

let imgRes = JSON.parse(uploadFileRes.data);

这段代码的作用是将 uploadFileRes.data 这个字符串类型的数据解析成 JavaScript 对象类型的数据，并赋值给 imgRes 这个变量。其中 JSON.parse() 方法是将一个 JSON 字符串解析成 JavaScript 对象的方法。 ...

import http.client from html.parser import HTMLParser import argparse from concurrent.futures import ThreadPoolExecutor import multiprocessing.pool prefix = "save/" readed_path = multiprocessing.Manager().list() cur_path = multiprocessing.Manager().list() new_path = multiprocessing.Manager().list() lock = multiprocessing.Lock() class MyHttpParser(HTMLParser): def init(self): HTMLParser.init(self) self.tag = [] self.href = "" self.txt = "" def handle_starttag(self, tag, attrs): self.tag.append(tag) # print("start tag in list :" + str(self.tag)) if tag == "a": for att in attrs: if att[0] == 'href': self.href = att[1] def handle_endtag(self, tag): if tag == "a" and len(self.tag) > 2 and self.tag[-2] == "div": print("in div, link txt is %s ." % self.txt) print("in div, link url is %s ." % self.href) lock.acquire() if not self.href in readed_path: readed_path.append(self.href) new_path.append(self.href) # print("end tag in list :" + str(self.tag)) lock.release() self.tag.pop(-1) def handle_data(self, data): if len(self.tag) >= 1 and self.tag[-1] == "a": self.txt = data def LoadHtml(path, file_path): if len(file_path) == 0: file_path = "/" conn = http.client.HTTPConnection(path) try: conn.request("GET", file_path) response = conn.getresponse() print(response.status, response.reason, response.version) data = response.read().decode("utf-8") if response.status == 301: data = response.getheader("Location") lock.acquire() new_path.append(data) lock.release() data = "" #print(data) conn.close() return data except Exception as e: print(e.args) def ParseArgs(): # 初始化解析器 parser = argparse.ArgumentParser() # 定义参数 parser.add_argument("-p", "--path", help="域名") parser.add_argument("-d", "--deep", type=int, help="递归深度") # 解析 args = parser.parse_args() return args def formatPath(path): path = path.removeprefix("https://") path = path.removeprefix("http://") path = path.removeprefix("//") return path def doWork(path): path = formatPath(path) m = path.find("/") if m == -1: m = len(path) data = LoadHtml(path[:m], path[m:]) with open(prefix + path[:m] + ".html", "w+", encoding="utf-8") as f: f.write(data) parse.feed(data) def work(deep,maxdeep): if deep > maxdeep: return args = ParseArgs() cur_path.append(formatPath(args.path)) readed_path.append(formatPath(args.path)) parse = MyHttpParser() e = multiprocessing.Pool(4) for i in range(args.deep): size = len(cur_path) e.map(doWork,cur_path) cur_path[:]=[] for p in new_path: cur_path.append(p) new_path[:]=[] print(i)优化此代码能在windows下运行

parse.feed(data) def work(maxdeep): args = ParseArgs() cur_path.put(formatPath(args.path)) readed_path.put(formatPath(args.path)) parse = MyHttpParser() with ProcessPoolExecutor(max_workers=4) ...

指出下面这段代码存在的问题import scrapy from scrapy import Request,Selector from TaobaoSpider.items import TaobaospiderItem class TaobaoSpider(scrapy.Spider): name = 'taobao' allowed_domains = ['taobao.com'] def start_requests(self): keywords = ['手机', '笔记本电脑', '键鼠套装'] for keyword in keywords: for page in range(2): url = f'https://s.taobao.com/search?q={keyword}&s={48 * page}' yield Request(url=url) # def parse_detail(self, response, kwargs): # pass def parse(self, response, kwargs): # 通过selenium帮助我们拿到淘宝页数据,在数据管道中实现 sel = Selector(response) selectors = sel.css('div.items > item.J_MouserOnverReq.item-ad > div.ctx-box.J_MouseEneterLeave.J_IconMoreNew') for selector in selectors: # type: Selector item = TaobaospiderItem() item['title'] = ''.join(selector.css('div.row.row-2.title > a> span::text').extract()).strip() item['price'] = selector.css('div.row.row-1.g-clearfix > div.price.g_price.g_price-highlight > strong::text').extract_first().strip() item['deal_count'] = selector.css('div.row.row-1.g-clearfix > div.deal-cnt::text').extract_first().strip() item['shop'] = selector.css('div.row.row-3.g-clearfix > div.shop > a > span:nth-child(2)::text').extract_first().strip() item['location'] = selector.css('div.row.row-3.g-clearfix > div.location::text').extract_first().strip() yield item

1. 第二行的 import Selector 应该改为 from scrapy.selector import Selector，因为 scrapy 模块中没有 Selector 类，Selector 类是在 scrapy.selector 模块中定义的。同时，import Request 也应该改为 from scrapy...

require 'net/http' urls = ['http://www.example.com/1.html', 'http://www.example.com/2.html'] uri = URI.parse('http://data.zz.baidu.com/urls?site=https://3gqq.cn&token=LA8UpYR7d3zCQ2RL') req = Net::HTTP::Post.new(uri.request_uri) req.body = urls.join("\n") req.content_type = 'text/plain' res = Net::HTTP.start(uri.hostname, uri.port) { |http| http.request(req) } puts res.body翻译成asp.net源码

using (var response = request.GetResponse() as HttpWebResponse) { var responseStream = response.GetResponseStream(); var reader = new StreamReader(responseStream, Encoding.UTF8); var responseString...

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