Proxies 作用：用来配置不同的代理。...proxies> *.google.com|ibiblio.org proxies> ...
使用Scrapy_Proxies随机IP代理插件 https://github.com/aivarsk/scrapy-proxies ---- 安装： pip install scrapy_proxies...设置settings.py： # Retry many times since proxies often fail RETRY_TIMES = 10 # Retry on most error codes...since proxies fail for different reasons RETRY_HTTP_CODES = [500, 503, 504, 400, 403, 404, 408] DOWNLOADER_MIDDLEWARES...= { 'scrapy.downloadermiddlewares.retry.RetryMiddleware': 90, 'scrapy_proxies.RandomProxy':
proxise ---- proxies的格式是一个字典：{‘http’: ‘http://42.84.226.65:8888‘} 有http与https两种，在爬取不同网站时我们需要选用不同类型的网站时选用不同的...proxise，在不知道网站类型时可以将两种类型均放进去，requests会自动选择合适的 proxies = { "http": "http://10.10.1.10:3128", "https...{‘http’: ‘http://42.84.226.65:8888‘} https型：{‘https’: ‘http://124.193.37.5:8888‘} ---- ---- 如果你是这样的 proxies...类型与你想访问的网站类型相同，代理ip才会起作用 可以用以下代码检验你的代理ip是否成功启用 import requests proxies = { "https": "http://10.10.1.10...:1080" } req = requests.get('http://icanhazip.com/', proxies=proxies) print(req.content) 访问 http://icanhazip.com
__init__() got an unexpected keyword argument 'proxies' 2024-12-02 07:49:23.919 | ERROR | chatchat.webui_pages.utils...__init__() got an unexpected keyword argument 'proxies' 2024-12-02 07:49:23.921 | ERROR | chatchat.webui_pages.utils...__init__() got an unexpected keyword argument 'proxies' 2024-12-02 07:49:23.923 | ERROR | chatchat.webui_pages.utils...__init__() got an unexpected keyword argument 'proxies' 2024-12-02 07:49:24.064 | ERROR | chatchat.webui_pages.utils...__init__() got an unexpected keyword argument 'proxies' 2024-12-02 07:49:24.070 | ERROR | chatchat.webui_pages.utils
Vue.js 是一款流行的 JavaScript 前端框架，它通过使用 getter / setters 和 Proxies 机制来实现响应式系统。...Vue.js 的响应式系统是通过利用 JavaScript 的 getter / setters 和 Proxies 机制来实现的。...Proxies 则是 ECMAScript 6 中引入的新特性，它可以劫持对象的底层操作，从而实现对对象的代理控制。 在 Vue.js 中，它会将数据对象转换成一个响应式对象。...除了 getter / setters，Vue.js 还使用了 Proxies 机制来实现响应式系统。Proxies 允许我们劫持对象的底层操作，包括读取、设置、删除属性等。...同时，由于使用了 getter / setters 和 Proxies 机制，Vue.js 的响应式系统也具有较高的性能和效率。
/td[2]/text()').extract_first() proxies_dict[http_type] = ip_num + ':' + port_num print(proxies_dict...) proxies_list.append(proxies_dict) time.sleep(0.5) print(proxies_list) print("获取到的代理ip数量：", len(...proxies_list), '个') 第五步 检测代理ip可用性，用获取到的IP访问百度或者其他网站，就可以检测其可用性 def check_ip(proxies_list): """检测...(proxies_dict) proxies_list.append(proxies_dict) time.sleep(0.5) print(proxies_list...) print("获取到的代理ip数量：", len(proxies_list), '个') can_use = check_ip(proxies_list) print("能用的代理：", can_use
=300): """ 抓取 Xi ci Dai li.com 的 http类型-代理ip-和端口号 将所有抓取的ip存入 raw_ips.csv 待处理, 可用 check_proxies...== 503: # 如果503则ip被封,就更换ip proxies = get_proxies() try_times += 1...'): """ 检测给定的ip信息是否可用 根据http,host,port组成proxies,对test_url进行连接测试,如果通过,则保存在 ips_pool.csv 中...= {http: host + ':' + port} try: res = requests.get(test_url, proxies=proxies, timeout=2...= {http: host + ':' + port} try: res = requests.get(test_url, proxies=proxies, timeout
(proxies): pool = Pool(processes=8) results = pool.map(partial(check_proxy_quality), proxies)...self.proxies.get('used_proxies'): self.proxies['used_proxies'] = {} def mark_as_used...self.proxies[proxy]['success_rate'] = self.proxies[proxy]['success_times'] / self.proxies[proxy]['used_times...if proxy in self.proxies: self.proxies[proxy]['success_times'] += 1 self.proxies...self.proxies['used_proxies'][proxy] = True def is_used(self, proxy): return self.proxies
import re import requests from bs4 import BeautifulSoup # 第一步得到代理 def proxy(): with open(r'ip_proxies...= eval(ip) if requests.get('http://t66y.com/index.php', proxies=proxies, timeout=2)....status_code == 200: return proxies except: pass proxies...=proxies, timeout=3) url_response2 = session.get(url2, timeout=3, proxies=proxies) data = url_response2...=proxies) print(response.status_code) data = response.content.decode('gb2312', 'ignore')
=proxies, timeout=5) print("{} 可用".format(proxies)) self.db2.insert(proxies...("{} 不可用".format(proxies)) def dlqx(self): ''' 代理测试''' proxies = [] # 代理列表...print(len(self.db)) for i in self.db: proxies.append({i['type'] : i['type'] + ":/...=proxies, timeout=5) print("{} 可用".format(proxies)) self.db2.insert(proxies...("{} 不可用".format(proxies)) def dlqx(self): ''' 代理测试''' proxies = [] # 代理列表
': 'http://10.10.1.10:5323' } url = 'http://test.xxx' response = requests.get(url,proxies = proxies)...在此感谢v友(#^.^#) https://www.kewangst.com/ProxyList 日后准备再写个爬虫，爬取这个网站，获取自用代理ip池 2、requests加上proxies参数 proxies...=proxies) 经过折腾，自己解释一下这个参数的意思，可能有误 2.1 proxies中设置两个key : http 和https 表示http链接 会使用key值 = http 的代理，https..." proxies = { "https": "http://10.10.1.10:1080" } requests.get(url, proxies=proxies) 2.4 分析原因：(当然其实也只是猜测...，但是也八九不离十) requests命令 会先判断proxies参数 里面传入的key（http/https），看它与目标url协议 是否一致， 如果url是http，proxies里面也传入了http
" proxies = extractor.extract_proxies_from_api( api_url, wait_element=".loading-complete...[json.loads(proxy_info) for proxy_info in all_proxies.values()] def cleanup_expired_proxies(self..., expiry_hours=24): """清理过期代理""" all_proxies = self.get_all_proxies() current_time...proxies = self.extractor.extract_proxies_from_api(api_url) all_proxies.extend(proxies)...valid_proxies = self.validator.validate_batch(all_proxies) logger.info(f"验证通过 {len(valid_proxies
(proxy) return proxies 5....以下是一个简单的代理池构建函数： def build_proxy_pool(): proxies = get_free_proxies() valid_proxies = [proxy...for proxy in proxies if check_proxy(proxy)] return valid_proxies 7....if check_proxy(proxy)] return working_proxies 8....= {'http': proxy, 'https': proxy} response = requests.get(url, proxies=proxies) return response.text
port=3306, user="root", db="proxies...=proxies, timeout=3) else: requests.get(http_api, headers={"User-Agent":...ua.random}, proxies=proxies, timeout=3) return True except Exception:...return False def get_usable_proxies_ip(self, response): '''获取到可用的代理ip''' res = self...__get_proxies_info(response) for data in res: if self.
步骤2：安装必要库pip install requests步骤3：完整代码示例import requestsimport timedef fetch_proxies(api_url, api_key=...获取爬虫Ip列表 proxies_data = fetch_proxies(API_URL, API_KEY) # 示例响应格式（根据你的API调整）： # [{"ip": "...if not proxies_data: print("未获取到爬虫Ip，程序终止") exit() # 2....测试并选择有效爬虫Ip valid_proxies = [proxy for proxy in proxies_data if test_proxy(proxy)] if not valid_proxies...=proxies, headers=headers)# 爬虫ip认证（如需用户名密码）proxies = { "http": f"http://user:pass@{ip}:{port}",
for proxy in proxies: f.write(proxy + '\n') print(f"已保存 {len(proxies)} 个有效代理到 {filename...获取代理列表 raw_proxies = fetch_proxies(api_url) print(f"从API获取到 {len(raw_proxies)} 个原始代理") #...results = executor.map(validate_proxy, raw_proxies) valid_proxies = [proxy for proxy, valid in...保存有效代理 save_proxies(valid_proxies) # 4....使用示例（在爬虫中随机选择代理） if valid_proxies: import random proxy = random.choice(valid_proxies
#home_url.py from toolkits.ip_proxies import get_proxies from bs4 import BeautifulSoup from fake_useragent...#find_imgs.py from toolkits.ip_proxies import get_proxies from bs4 import BeautifulSoup from fake_useragent...=get_proxies()) while wb_data !...= 200: wb_data = requests.get(url, headers=headers,proxies=get_proxies()) except...= 200: wb_data = requests.get(url, headers=headers, proxies=get_proxies()) except
"`}func main() { // 代理 API 地址 (替换为实际 API 地址) proxyAPI := "https://proxy-provider.com/api/get-proxies...)) // 步骤 2: 随机选择一个代理 rand.Seed(time.Now().UnixNano()) proxyAddr := proxies[rand.Intn(len(proxies...[]string for _, p := range proxyResp.Data { proxies = append(proxies, fmt.Sprintf("%s:%d",...) ([]string, error) { var proxies []string scanner := bufio.NewScanner(body) for scanner.Scan...() { proxies = append(proxies, scanner.Text()) } return proxies, scanner.Err()}// 通过代理发送
({'protocol': protocol, 'ip': ip, 'port': port}) def verify_proxies(self): for proxy in self.proxies...=proxies, timeout=self.timeout) if response.status_code !...= 200: self.proxies.remove(proxy) except: self.proxies.remove...(proxy) def get_valid_proxies(self): self.get_proxies() self.verify_proxies()...= proxy_pool.get_valid_proxies() print('Valid proxies:', proxies) time.sleep(60)以上代码使用了一个名为
fake-useragent库，需要先用pip安装，安装命令：pip install fake-useragent params是爬虫伪装的参数，数据类型为字典dict，里面有2个键值对，2个键：headers、proxies...proxies的数据类型是字典，里面有1个键值对，键http对应的值数据类型为字符串，是代理服务器的url。 匿名ip主要是从66ip.cn网站获取。...= "http://www.66ip.cn/areaindex_2/{}.html" proxies_url = proxies_url_before.format(random.randint...(1,10)) soup = getSoup(proxies_url) item_list = soup.select("table tr")[2:] proxies_list...("http://{}:{}".format(ipAddress, ipPort)) return proxies_list def getParams(): ua = UserAgent
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