spiders/MediaSpiders/MediaSpiders/spiders/BaiduHotSearchSprder.py

@@ -1,373 +0,0 @@
-# -*- coding: utf-8 -*-
-import json
-import logging
-import hashlib
-import datetime
-import re
-import time
-from urllib.parse import urlparse
-import random
-
-from selenium.webdriver.common.by import By
-from selenium.common.exceptions import (
-    NoSuchElementException,
-    TimeoutException,
-    StaleElementReferenceException,
-    WebDriverException
-)
-import scrapy
-from scrapy_selenium import SeleniumRequest
-from MediaSpiders.items import MediaspidersItem
-from selenium.webdriver.support.ui import WebDriverWait
-from selenium.webdriver.support import expected_conditions as EC
-from scrapy.exceptions import CloseSpider
-
-from MediaSpiders.utils.string_utils import get_str_md5
-from MediaSpiders.utils.time_utils import get_current_timestamp
-
-
-class BaiduHotSearchSprder(scrapy.Spider):
-    name = 'BaiduHotSearchSprder'
-    comment_urls = []
-    custom_settings = {
-        'PROTO_MODULE_PATH': 'MediaSpiders.proto.Es_pb2',
-        'PROTO_CLASS_NAME': 'EsSets',
-        'PROTO_FIELD_NAME': 'Es',
-        'PROTO_SAVE_FILE_NAME': 'public_info_data_',
-        'IMAGES_STORE': r'/usr/local/temp_image/twitter',
-        'IMAGES_RESULT_FIELD': 'es_urlimage',
-        'FILES_STORE': r'/usr/local/videos',
-        'FILES_RESULT_FIELD': 'es_video',
-        'ZIP_FILE_NAME': 'image_data_publicinfo_',
-        'FILE_ZIP_FILE_NAME': 'image_data_plane_',
-        'ITEM_PIPELINES': {
-            'scrapy.pipelines.images.ImagesPipeline': 2,
-            'MediaSpiders.pipelines.ProtobufSavePipeline': 300,
-            # 'MediaSpiders.pipelines.TwitterUserDataSaveToMySQL': 300,
-        },
-        'SPIDER_MIDDLEWARES': {
-            'MediaSpiders.middlewares.DumpFilterSpiderMiddleware': 543,
-            'scrapy.spidermiddlewares.urllength.UrlLengthMiddleware': None
-        },
-        'BATCH_SAVE_SIZE': 50
-    }
-
-    start_urls = 'https://top.baidu.com/board?tab=realtime'
-
-    def __init__(self, params=None, *args, **kwargs):
-        super(BaiduHotSearchSprder, self).__init__(*args, **kwargs)
-        self.job_id = None
-        self.collected_items = 0
-        self.max_items = 50  # 设定最大爬取数量，防止无限循环
-        self.retry_count = 0
-        self.max_retries = 3
-
-        if params:
-            try:
-                json_params = json.loads(params)
-                if 'job_id' in json_params:
-                    self.job_id = json_params['job_id']
-                if 'max_items' in json_params:
-                    self.max_items = int(json_params['max_items'])
-            except Exception as e:
-                self.logger.error(f"解析参数失败: {str(e)}")
-
-    def start_requests(self):
-        """发起初始请求"""
-        self.logger.info(f"开始爬取百度热搜，任务ID: {self.job_id if self.job_id else 'N/A'}")
-        yield SeleniumRequest(
-            url=self.start_urls,
-            callback=self.parse,
-            meta={'retry_count': 0},
-            wait_time=5
-        )
-
-    def parse(self, response):
-        """解析热搜榜单数据"""
-        self.logger.info("开始解析百度热搜数据...")
-
-        driver = response.request.meta['driver']
-
-        try:
-            # 设置页面大小避免元素不可见
-            driver.set_window_size(1400, 1000)
-
-            # 访问主域，确保Cookie正确设置
-            driver.get(self.start_urls)
-
-            # 等待主要内容加载
-            try:
-                WebDriverWait(driver, 15).until(
-                    EC.presence_of_element_located((By.CSS_SELECTOR, ".category-wrap_iQLoo, .board-item"))
-                )
-                self.logger.info("页面主要内容加载完成")
-            except TimeoutException:
-                self.logger.warning("等待主要内容超时，尝试直接处理可用元素")
-
-            # 滚动页面以确保所有元素加载
-            self._scroll_page(driver)
-
-            # 尝试多种选择器策略，提高兼容性
-            hot_search_items = self._get_hot_search_items(driver)
-
-            if not hot_search_items:
-                self.logger.error("未找到任何热搜项，检查页面结构是否发生变化")
-                self.retry_count += 1
-                if self.retry_count <= self.max_retries:
-                    self.logger.info(f"重试第 {self.retry_count}/{self.max_retries} 次")
-                    driver.refresh()
-                    return SeleniumRequest(
-                        url=self.start_urls,
-                        callback=self.parse,
-                        meta={'retry_count': self.retry_count},
-                        dont_filter=True,
-                        wait_time=5
-                    )
-                else:
-                    self.logger.error("达到最大重试次数，终止爬虫")
-                    raise CloseSpider("页面结构可能已更改，无法提取数据")
-
-            self.logger.info(f"找到 {len(hot_search_items)} 个热搜项")
-            hot_search_items_list = []
-            # 处理每个热搜项
-            for index, item in enumerate(hot_search_items):
-                try:
-                    hot_search_item = self._extract_hot_search_data(item, driver)
-                    if hot_search_item:
-                        self.collected_items += 1
-                        # hot_search_item['es_simrank'] = self.collected_items
-                        self.logger.info(f"成功提取第 {self.collected_items} 条数据: {hot_search_item['es_urltitle']}")
-                        # hot_search_items_list.append(hot_search_items)
-                        yield hot_search_item
-                except StaleElementReferenceException:
-                    self.logger.warning(f"第 {index + 1} 项元素已失效，跳过处理")
-                    continue
-                except Exception as e:
-                    self.logger.error(f"处理第 {index + 1} 项时出错: {str(e)}", exc_info=True)
-                    continue
-
-            self.logger.info(f"本次爬取共收集 {self.collected_items} 条有效数据")
-
-        except WebDriverException as e:
-            self.logger.error(f"WebDriver异常: {str(e)}", exc_info=True)
-            if 'retry_count' not in response.meta or response.meta['retry_count'] < self.max_retries:
-                retry_count = response.meta.get('retry_count', 0) + 1
-                self.logger.info(f"尝试重新请求，重试次数: {retry_count}")
-                yield SeleniumRequest(
-                    url=self.start_urls,
-                    callback=self.parse,
-                    meta={'retry_count': retry_count},
-                    dont_filter=True,
-                    wait_time=5 + retry_count * 2  # 指数退避
-                )
-        except Exception as e:
-            self.logger.error(f"处理页面时发生未预期错误: {str(e)}", exc_info=True)
-        finally:
-            # 可以在此处添加清理代码
-            pass
-
-    def _scroll_page(self, driver):
-        """滚动页面确保所有元素加载"""
-        try:
-            # 缓慢滚动到底部
-            scroll_pause_time = 1
-            screen_height = driver.execute_script("return window.screen.height;")
-            scrolls = 5
-
-            for i in range(scrolls):
-                driver.execute_script(f"window.scrollTo(0, {screen_height * i});")
-                time.sleep(scroll_pause_time * (1 + random.random()))
-
-            # 滚回到顶部
-            driver.execute_script("window.scrollTo(0, 0);")
-            time.sleep(scroll_pause_time)
-
-            self.logger.info("页面滚动完成，确保元素加载")
-        except Exception as e:
-            self.logger.warning(f"页面滚动时发生异常: {str(e)}")
-
-    def _get_hot_search_items(self, driver):
-        """尝试多种策略获取热搜项"""
-        selectors = [
-            '.category-wrap_iQLoo.horizontal_1eKyQ',  # 主要选择器
-            '.board-item',  # 备用选择器
-            'div[data-index]'  # 基于属性的选择器
-        ]
-
-        for selector in selectors:
-            try:
-                items = driver.find_elements(By.CSS_SELECTOR, selector)
-                if items and len(items) > 0:
-                    self.logger.info(f"使用选择器 '{selector}' 成功找到 {len(items)} 个元素")
-                    return items
-            except Exception as e:
-                self.logger.debug(f"选择器 '{selector}' 失败: {str(e)}")
-
-        # 如果CSS选择器都失败，尝试XPath
-        try:
-            xpath_patterns = [
-                '//div[contains(@class, "category-wrap") and contains(@class, "horizontal")]',
-                '//div[contains(@class, "board-item")]',
-                '//div[@data-index]'
-            ]
-
-            for xpath in xpath_patterns:
-                items = driver.find_elements(By.XPATH, xpath)
-                if items and len(items) > 0:
-                    self.logger.info(f"使用XPath '{xpath}' 成功找到 {len(items)} 个元素")
-                    return items
-        except Exception as e:
-            self.logger.debug(f"XPath策略失败: {str(e)}")
-
-        return []
-
-    def _extract_hot_search_data(self, item, driver):
-        """提取单个热搜项数据（变量集中收集 + 末尾统一赋值）"""
-
-        # 常量定义
-        TITLE_SELECTORS = ['.c-single-text-ellipsis', '.title_dIF3B']
-        RANK_SELECTORS = ['.index_1Ew5p', '.hot-index_1Bl1a']
-        LINK_SELECTORS = [
-            '.look-more_3oNWC',
-            'a[href*="www.baidu.com/s?"]',
-            '.hot-desc_1m_jR a',
-            '.content_3Kk0y a'
-        ]
-        DESC_SELECTORS = [
-            '.hot-desc_1m_jR.large_nSuFU',
-            '.hot-desc_1m_jR.small_Uvkd3',
-            '.desc_3CT34',
-            '.content_3Kk0y'
-        ]
-
-        HOT_NUM_SELECTOR = '.hot-index_1Bl1a'
-
-        # 辅助函数
-        def find_visible_element(selectors, context=item):
-            for selector in selectors:
-                try:
-                    elem = context.find_element(By.CSS_SELECTOR, selector)
-                    if elem.is_displayed():
-                        return elem
-                except Exception as e:
-                    self.logger.debug(f"选择器 '{selector}' 未匹配: {str(e)}")
-            return None
-
-        def clean_text(text, remove_phrases=("查看更多>", "查看更多", "查看全文", "展开全文")):
-            """深度清理文本：移除干扰短语 + 合并连续空格"""
-            if not text:
-                return ""
-            # 移除指定短语
-            for phrase in remove_phrases:
-                text = text.replace(phrase, "")
-            # 清理多余空白（包括\xa0等特殊空格）
-            text = re.sub(r'\s+', ' ', text).strip()
-            return text.strip()
-
-        def normalize_url(url):
-            if not url or not isinstance(url, str):
-                return ""
-            url = url.strip()
-            if url.startswith('//'):
-                url = 'https:' + url
-            if url.startswith('data:') or not url.startswith(('http://', 'https://')):
-                return ""
-            return url
-
-        # 1. 提取标题
-        title_elem = find_visible_element(TITLE_SELECTORS)
-        if not title_elem:
-            self.logger.warning("标题元素未找到，跳过该项")
-            return None
-        title = clean_text(title_elem.text)
-        if not title:
-            self.logger.warning("标题内容为空，跳过该项")
-            return None
-
-        # 2. 初始化所有字段变量
-        now_ms = int(time.time() * 1000)
-
-        # 基础字段
-        site_name = '百度热搜'
-        carrier_type = 'hot_search'
-        hkey = get_str_md5(title)
-
-        # 排名（默认使用当前收集序号）
-        rank = str(self.collected_items)
-        rank_elem = find_visible_element(RANK_SELECTORS)
-        if rank_elem:
-            extracted_rank = clean_text(rank_elem.text)
-            if extracted_rank:
-                rank = extracted_rank
-
-        # 链接与SID
-        url_href = ""
-        link_elem = find_visible_element(LINK_SELECTORS)
-        if link_elem:
-            raw_href = link_elem.get_attribute('href')
-            url_href = normalize_url(raw_href) if raw_href else ""
-
-        if url_href:
-            sid = hashlib.md5(url_href.lower().encode('utf-8')).hexdigest()
-        else:
-            fallback_seed = f"no_link_{title}_{now_ms}"
-            sid = hashlib.md5(fallback_seed.encode('utf-8')).hexdigest()
-
-        # 热度
-        heat = 0
-        try:
-            hot_elem = item.find_element(By.CSS_SELECTOR, HOT_NUM_SELECTOR)
-            hot_val = clean_text(hot_elem.text).replace(',', '')
-            if hot_val.isdigit():
-                heat = int(hot_val)
-        except Exception as e:
-            self.logger.debug(f"热度提取失败: {str(e)}")
-
-        # 描述
-        desc = ""
-        desc_elem = find_visible_element(DESC_SELECTORS)
-        if desc_elem:
-            desc = clean_text(desc_elem.text)
-
-        # 内容
-        detail_url = ""
-        try:
-            # 1. 先定位到描述容器
-            desc_container = item.find_element(By.CSS_SELECTOR, '.hot-desc_1m_jR')
-
-            # 2. 在容器内精准定位"查看更多"链接
-            detail_link = desc_container.find_element(By.CSS_SELECTOR, 'a.look-more_3oNWC[href*="www.baidu.com/s?"]')
-
-            # 3. 获取并标准化URL
-            raw_href = detail_link.get_attribute('href') or ""
-            detail_url = normalize_url(raw_href)  # 使用之前定义的URL标准化函数
-
-            self.logger.debug(f"成功提取详情页URL: {detail_url}")
-        except Exception as e:
-            self.logger.debug(f"提取详情页URL失败: {str(e)}")
-            # 失败时保持空字符串，后续会使用主链接作为备选
-
-        # 图片
-        # img_element = item.find_element(By.CSS_SELECTOR, 'img[src*="cdn.bcebos.com/hotboard_image"]')
-        # img_url = img_element.get_attribute('src') or ""
-
-        # ==================== 3. 统一创建并赋值Item（唯一赋值点） ====================
-        hot_search_item = MediaspidersItem()
-        hot_search_item['es_sitename'] = site_name
-        hot_search_item['es_urltitle'] = title
-        hot_search_item['es_urlcontent'] = desc
-        hot_search_item['es_carriertype'] = carrier_type
-        hot_search_item['es_urltime'] = get_current_timestamp()
-        hot_search_item['es_lasttime'] = get_current_timestamp()
-        hot_search_item['es_loadtime'] = get_current_timestamp()
-        hot_search_item['es_hkey'] = hkey
-        hot_search_item['es_simrank'] = rank
-        hot_search_item['es_heat'] = heat
-        hot_search_item['es_sid'] = sid
-        hot_search_item['es_urlname'] = detail_url
-
-        # 条件字段：仅当存在有效图片时赋值
-        # if img_url:
-        #     hot_search_item['image_urls'] = [img_url]  # ImagesPipeline要求列表格式
-
-        return hot_search_item

spiders/MediaSpiders/MediaSpiders/spiders/FacebookUserSpider.py

@@ -9,10 +9,12 @@ import scrapy
 from redisbloom.client import Client
 from scrapy_selenium import SeleniumRequest
 from selenium.webdriver.common.action_chains import ActionChains
+from selenium.webdriver.common.by import By
 
 from MediaSpiders.items import MediaspidersItem
 from MediaSpiders.spiders.TwitterUserInfoSpider import form_cookie_dict
 from MediaSpiders.utils.http_utils import http_post
+from MediaSpiders.utils.login_utils import login
 from MediaSpiders.utils.string_utils import get_str_md5
 from MediaSpiders.utils.time_utils import get_time_stamp, get_current_timestamp
 
@@ -273,7 +275,6 @@ class FacebookSpider(scrapy.Spider):
 
         logger.info("用户 {} 的发文数量为 {}".format(uid, len(article_items)))
         return article_items
-
     def comment_parse(self, response):
         browser = response.request.meta['driver']
         article_id = response.request.meta['article_id']

spiders/MediaSpiders/MediaSpiders/utils/wechat_links_fetcher.py

@@ -2,9 +2,7 @@ import json
 import random
 import time
 from math import ceil
-import logging as logger
 
-from selenium.webdriver.common.by import By
 import redis
 import requests
 from selenium import webdriver
@@ -14,7 +12,6 @@ from selenium.webdriver.chrome.service import Service
 
 from MediaSpiders.settings import REDIS_HOST, REDIS_PORT, REDIS_PWD, SOCIAL_USER_QUERY_ALL_API, SOCIAL_USER_UPDATE_API, \
     WECHAT_USER_TYPE
-from MediaSpiders.spiders.TwitterUserSpider import form_cookie_dict
 from MediaSpiders.utils.http_utils import http_post, UA
 from MediaSpiders.utils.login_utils import login
 
@@ -23,303 +20,133 @@ chrome_options = Options()
 chrome_options.binary_location = r"C:\Users\DELL\Downloads\chrome-win64\chrome.exe"
 # chrome_options.use_chromium = True
 driver = webdriver.Chrome(
-    executable_path=r"D:\chromedriver.exe",
+    executable_path=r"C:\Users\DELL\Downloads\chromedriver-win64\chromedriver.exe",
     options=chrome_options
 )
 driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
-    "source": "Object.defineProperty(navigator, 'webdriver', {get: () => undefined})"
+    "source": """
+    Object.defineProperty(navigator, 'webdriver', {
+      get: () => undefined
+    })
+  """
 })
 redis_client = redis.Redis(host=REDIS_HOST, port=REDIS_PORT, password=REDIS_PWD)
 
-
-def parse_cookie_string(cookie_str):
-    """解析 cookie 字符串为 dict"""
-    cookie_dict = {}
-    for item in cookie_str.split(';'):
-        if '=' in item:
-            name, value = item.split('=', 1)
-            cookie_dict[name.strip()] = value.strip()
-    return cookie_dict
-
-
-def add_cookie_smart(driver, name, value, target_domain='mp.weixin.qq.com'):
-    """
-    智能添加 cookie：先试目标域名，失败则试父域，再失败则跳过
-    """
-    # 微信核心 cookie 必须用 mp.weixin.qq.com
-    wechat_critical = ['wxuin', 'slave_sid', 'slave_user', 'bizuin', 'data_ticket', 'token']
-
-    # 腾讯通用 cookie 可尝试父域
-    tencent_common = ['ptui_loginuin', 'RK', 'ptcz', 'ua_id']
-
-    # 策略 1: 核心 cookie → 精确域名
-    if name in wechat_critical:
-        domains_to_try = [target_domain]
-    # 策略 2: 腾讯通用 cookie → 先试目标域，再试父域
-    elif name in tencent_common:
-        domains_to_try = [target_domain, '.weixin.qq.com', '.qq.com']
-    # 策略 3: 其他 cookie → 默认 host-only（不传 domain）
-    else:
-        domains_to_try = [None, target_domain]
-
-    for domain in domains_to_try:
-        cookie = {
-            'name': name,
-            'value': value,
-            'path': '/',
-            'secure': True
-        }
-        if domain:
-            cookie['domain'] = domain
-
-        try:
-            driver.add_cookie(cookie)
-            # logger.debug(f"✓ {name} added with domain={domain or 'host-only'}")
-            return True
-        except Exception as e:
-            if 'invalid cookie domain' in str(e):
-                continue  # 尝试下一个 domain
-            else:
-                # logger.warning(f"✗ {name} failed: {e}")
-                return False
-    return False  # 所有 domain 都失败
-
-
 if __name__ == "__main__":
-    cookie_list = redis_client.lrange("MediaSpiders:WeChatLinksFetcher_Cookies", 0, -1)
+    count_per_account = 200
-    cookie_parts = [
+    total_count = 0
-        item.decode('utf-8') if isinstance(item, bytes) else str(item)
+    driver = login().login_with_selenium(
-        for item in cookie_list
+        'https://mp.weixin.qq.com/',
-    ]
+        'wechat_links_fetcher',
-
+        drivers=driver
-    # 标记是否需要手动登录
+    )
-    need_manual_login = True
+    break_flag = False
-    current_cookie = None
+    token_index = driver.current_url.rfind('token=')
-
+    token = driver.current_url[token_index + 6:]
-    if not cookie_parts:
+    print(f'获取 token 成功！当前 token 为 {token}')
-        logger.warning("Redis 中没有可用的 cookie，需要手动登录")
+    raw_cookies = driver.get_cookies()
-        need_manual_login = True
+    cookies = {}
-    else:
+    for c in raw_cookies:
-        # 尝试使用 Redis 中的 cookie 登录
+        cookies[c['name']] = c['value']
-        for item in cookie_parts:
+    print(f'获取 cookie 成功！')
-            current_cookie = item
+    headers = {
-            try:
+        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
-                driver.delete_all_cookies()
+                      'Chrome/136.0.0.0 Safari/537.36 Edg/136.0.0.0',
-                driver.get('https://mp.weixin.qq.com/')
+        'Referer': f'https://mp.weixin.qq.com/cgi-bin/appmsg?t=media/'
-                time.sleep(2)
+                   f'appmsg_edit_v2&action=edit&isNew=1&type=77&createType=0&token={token}&lang=zh_CN'
-
+    }
-                cookie_string = item
+    query_api = SOCIAL_USER_QUERY_ALL_API.format(sortBy="updateTime", shuffleResult="false")
-                cookie_dict = parse_cookie_string(cookie_string)
+    post_body = {
-
+        'userType': WECHAT_USER_TYPE,
-                success_count = 0
+        'userFlag': 0
-                for name, value in cookie_dict.items():
+    }
-                    if add_cookie_smart(driver, name, value):
+    account_rsp = json.loads(
-                        success_count += 1
+        http_post(query_api, json.dumps(post_body), headers={"Content-Type": "application/json"}).text)
-                    else:
+    official_accounts = []
-                        logger.warning(f"跳过 cookie: {name}")
+    if account_rsp['code'] == 200:
-
+        official_accounts = account_rsp['content']
-                logger.info(f"成功添加 {success_count}/{len(cookie_dict)} 个 cookie")
+    for account_line in official_accounts:
-
-                # 验证 cookie 是否有效
-                driver.refresh()
-                time.sleep(5)
-
-                # 检查是否登录成功 - 通过检查 URL 中是否包含 token 或页面元素
-                current_url = driver.current_url
-                if 'token=' in current_url:
-                    logger.info("使用 Redis 中的 cookie 登录成功")
-                    need_manual_login = False
-                    break
-                else:
-                    # 二次验证：检查页面上是否有登录状态相关的元素
-                    try:
-                        # 检查是否有用户头像或用户名元素
-                        driver.find_element(By.CSS_SELECTOR,
-                                            ".weui-desktop-account__nickname, .userinfo_nickname, .account_nickname")
-                        logger.info("通过页面元素验证，登录成功")
-                        need_manual_login = False
-                        break
-                    except:
-                        logger.warning("Cookie 登录失败，尝试下一个 cookie 或手动登录")
-            except Exception as e:
-                logger.error(f"使用 cookie 登录时出错: {str(e)}")
-                continue
-
-    # 如果自动登录失败，进行手动登录
-    if need_manual_login:
-        logger.info("所有 cookie 均无效，启动手动登录流程")
         try:
-            driver.delete_all_cookies()
+            if break_flag:
-            driver.get('https://mp.weixin.qq.com/')
+                break
-            time.sleep(2)
+            start_timestamp = int((time.time() - 500 * 24 * 3600) * 1000)
-
+            if 'updateTime' in account_line:
-            # 等待用户手动登录
+                start_timestamp = account_line['updateTime']
-            logger.info("请在浏览器中手动完成登录（扫描二维码）")
+            start_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(start_timestamp / 1000))
-            logger.info("登录成功后，程序将自动继续执行")
+            account = account_line['userName']
-
+            search_account_api = f'https://mp.weixin.qq.com/cgi-bin/searchbiz?action=search_biz&begin=0&count=5&' \
-            # 设置最长等待时间（例如 120 秒）
+                                 f'query={account}&token={token}&lang=zh_CN&f=json&ajax=1'
-            max_wait_time = 120
+            print(f"开始搜索公众号“{account}”...")
-            start_time = time.time()
+            time.sleep(3 + random.random())
-            logged_in = False
+            response = requests.get(search_account_api, cookies=cookies, headers=headers)
-
+            rsp_body = json.loads(response.text)
-            while time.time() - start_time < max_wait_time:
+            index_end = ceil(count_per_account / 5)
-                current_url = driver.current_url
+            if 'list' in rsp_body:
-                if 'token=' in current_url:
+                matched_account = {}
-                    logged_in = True
+                matched_account_flag = False
-                    logger.info("手动登录成功！")
+                for item in rsp_body['list']:
-                    break
+                    if item['nickname'] == account:
-
+                        matched_account_flag = True
-                # 检查页面元素
+                        matched_account = item
-                try:
+                        break
-                    driver.find_element(By.CSS_SELECTOR,
+                if not matched_account_flag:
-                                        ".weui-desktop-account__nickname, .userinfo_nickname, .account_nickname")
+                    print(f"未找到公众号“{account}”")
-                    logged_in = True
+                    continue
-                    logger.info("通过页面元素确认手动登录成功！")
+                fake_id = matched_account['fakeid']
-                    break
+                update_time_flag = True  # 用于记录获取到的历史列表是否已经超出最早的时间限制
-                except:
+                next_start_timestamp = int(time.time() * 1000)
-                    time.sleep(2)
+                for index in range(index_end):
-
+                    if update_time_flag:
-            if not logged_in:
+                        if next_start_timestamp - start_timestamp < 12 * 3600 * 1000:
-                logger.error(f"等待 {max_wait_time} 秒后仍未登录成功，程序终止")
+                            print(f"公众号“{account}”以及后续账号在12小时内已经扫码获取过文章链接，本次获取结束")
-                raise Exception("手动登录超时")
-
-            # 获取新的 cookie
-            raw_cookies = driver.get_cookies()
-            new_cookie_dict = {}
-            for c in raw_cookies:
-                new_cookie_dict[c['name']] = c['value']
-
-            # 将字典转换为字符串格式
-            new_cookie_string = "; ".join([f"{k}={v}" for k, v in new_cookie_dict.items()])
-
-            # 更新 Redis 中的 cookie
-            logger.info("更新 Redis 中的 cookie")
-
-            # 删除旧的 cookie
-            redis_client.delete("MediaSpiders:WeChatLinksFetcher_Cookies")
-
-            # 添加新的 cookie
-            redis_client.lpush("MediaSpiders:WeChatLinksFetcher_Cookies", new_cookie_string)
-
-            current_cookie = new_cookie_string
-            logger.info("Redis cookie 更新成功")
-
-        except Exception as e:
-            logger.error(f"手动登录过程出错: {str(e)}")
-            raise
-
-        count_per_account = 200
-        total_count = 0
-        break_flag = False
-
-        token_index = driver.current_url.rfind('token=')
-        token = driver.current_url[token_index + 6:]
-        print(f'获取 token 成功！当前 token 为 {token}')
-        raw_cookies = driver.get_cookies()
-        cookies = {}
-        for c in raw_cookies:
-            cookies[c['name']] = c['value']
-        print(f'获取 cookie 成功！')
-        headers = {
-            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
-                          'Chrome/136.0.0.0 Safari/537.36 Edg/136.0.0.0',
-            'Referer': f'https://mp.weixin.qq.com/cgi-bin/appmsg?t=media/'
-                       f'appmsg_edit_v2&action=edit&isNew=1&type=77&createType=0&token={token}&lang=zh_CN'
-        }
-        query_api = SOCIAL_USER_QUERY_ALL_API.format(sortBy="updateTime", shuffleResult="false")
-        post_body = {
-            'userType': WECHAT_USER_TYPE,
-            'userFlag': 0
-        }
-        account_rsp = json.loads(
-            http_post(query_api, json.dumps(post_body), headers={"Content-Type": "application/json"}).text)
-        official_accounts = []
-        if account_rsp['code'] == 200:
-            official_accounts = account_rsp['content']
-        for account_line in official_accounts:
-            try:
-                if break_flag:
-                    break
-                start_timestamp = int((time.time() - 500 * 24 * 3600) * 1000)
-                if 'updateTime' in account_line:
-                    start_timestamp = account_line['updateTime']
-                start_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(start_timestamp / 1000))
-                account = account_line['userName']
-                search_account_api = f'https://mp.weixin.qq.com/cgi-bin/searchbiz?action=search_biz&begin=0&count=5&' \
-                                     f'query={account}&token={token}&lang=zh_CN&f=json&ajax=1'
-                print(f"开始搜索公众号“{account}”...")
-                time.sleep(3 + random.random())
-                response = requests.get(search_account_api, cookies=cookies, headers=headers)
-                rsp_body = json.loads(response.text)
-                index_end = ceil(count_per_account / 5)
-                if 'list' in rsp_body:
-                    matched_account = {}
-                    matched_account_flag = False
-                    for item in rsp_body['list']:
-                        if item['nickname'] == account:
-                            matched_account_flag = True
-                            matched_account = item
-                            break
-                    if not matched_account_flag:
-                        print(f"未找到公众号“{account}”")
-                        continue
-                    fake_id = matched_account['fakeid']
-                    update_time_flag = True  # 用于记录获取到的历史列表是否已经超出最早的时间限制
-                    next_start_timestamp = int(time.time() * 1000)
-                    for index in range(index_end):
-                        if update_time_flag:
-                            if next_start_timestamp - start_timestamp < 12 * 3600 * 1000:
-                                print(f"公众号“{account}”以及后续账号在12小时内已经扫码获取过文章链接，本次获取结束")
-                                break_flag = True
-                            else:
-                                fetch_article_api = f'https://mp.weixin.qq.com/cgi-bin/appmsg?action=list_ex&begin=' \
-                                                    f'{index * 5}&count=5&fakeid={fake_id}&type=9&query=&token={token}' \
-                                                    f'&lang=zh_CN&f=json&ajax=1'
-                                print(f"开始获取公众号“{account}”在 {start_time} 后发表的的文章列表...")
-                                time.sleep(3 + random.random())
-                                article_response = requests.get(fetch_article_api, cookies=cookies, headers=headers)
-                                article_rsp_body = json.loads(article_response.text)
-                                if 'app_msg_list' in article_rsp_body:
-                                    for article in article_rsp_body['app_msg_list']:
-                                        title = article['title']
-                                        link = article['link']
-                                        update_time = article['update_time'] * 1000
-                                        if update_time > start_timestamp:
-                                            total_count += 1
-                                            time_str = time.strftime("%Y-%m-%d %H:%M:%S",
-                                                                     time.localtime(update_time / 1000))
-                                            print(f"[No. {total_count}] 获取到公众号“{account}”在 {time_str} "
-                                                  f"发表的文章《{title}》，链接地址：{link}")
-                                            redis_client.sadd(f"MediaSpiders:Wechat_links:{account_line['id']}", link)
-                                        else:
-                                            update_time_flag = False
-                                            break
-                                else:
-                                    print(json.dumps(article_rsp_body, ensure_ascii=False))
-                                if 'base_resp' in article_rsp_body:
-                                    err_msg = article_rsp_body['base_resp']['err_msg']
-                                    if err_msg == "freq control" or err_msg == "invalid session":
-                                        print("接口频率限制，稍后再试，本次获取结束")
-                                        break_flag = True
-                                        break
-
-                    if not break_flag:
-                        # 本循环内，只有12小时内扫过码以及接口频率限制退出，会导致 break_flag 为 True，这两种情况都不需要更新扫码状态
-                        next_start_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(next_start_timestamp / 1000))
-                        account_line['updateTime'] = next_start_timestamp
-                        http_post(SOCIAL_USER_UPDATE_API,
-                                  data=json.dumps(account_line, ensure_ascii=False).encode('utf-8'),
-                                  headers={'User-Agent': UA, "Content-Type": "application/json"}
-                                  )
-                        print(f"公众号“{account}”文章获取结束，该账号下一次获取起始时间为 {next_start_time}")
-                else:
-                    print(json.dumps(rsp_body, ensure_ascii=False))
-                    if 'base_resp' in rsp_body:
-                        if rsp_body['base_resp']['err_msg'] == "freq control":
-                            print("接口频率限制，稍后再试，本次获取结束")
                             break_flag = True
-                            break
+                        else:
-            except Exception as e:
+                            fetch_article_api = f'https://mp.weixin.qq.com/cgi-bin/appmsg?action=list_ex&begin=' \
-                print(repr(e))
+                                                f'{index * 5}&count=5&fakeid={fake_id}&type=9&query=&token={token}' \
-        redis_client.close()
+                                                f'&lang=zh_CN&f=json&ajax=1'
-        driver.quit()
+                            print(f"开始获取公众号“{account}”在 {start_time} 后发表的的文章列表...")
+                            time.sleep(3 + random.random())
+                            article_response = requests.get(fetch_article_api, cookies=cookies, headers=headers)
+                            article_rsp_body = json.loads(article_response.text)
+                            if 'app_msg_list' in article_rsp_body:
+                                for article in article_rsp_body['app_msg_list']:
+                                    title = article['title']
+                                    link = article['link']
+                                    update_time = article['update_time'] * 1000
+                                    if update_time > start_timestamp:
+                                        total_count += 1
+                                        time_str = time.strftime("%Y-%m-%d %H:%M:%S",
+                                                                 time.localtime(update_time / 1000))
+                                        print(f"[No. {total_count}] 获取到公众号“{account}”在 {time_str} "
+                                              f"发表的文章《{title}》，链接地址：{link}")
+                                        redis_client.sadd(f"MediaSpiders:Wechat_links:{account_line['id']}", link)
+                                    else:
+                                        update_time_flag = False
+                                        break
+                            else:
+                                print(json.dumps(article_rsp_body, ensure_ascii=False))
+                            if 'base_resp' in article_rsp_body:
+                                if article_rsp_body['base_resp']['err_msg'] == "freq control":
+                                    print("接口频率限制，稍后再试，本次获取结束")
+                                    break_flag = True
+                                    break
+                if not break_flag:
+                    # 本循环内，只有12小时内扫过码以及接口频率限制退出，会导致 break_flag 为 True，这两种情况都不需要更新扫码状态
+                    next_start_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(next_start_timestamp / 1000))
+                    account_line['updateTime'] = next_start_timestamp
+                    http_post(SOCIAL_USER_UPDATE_API,
+                              data=json.dumps(account_line, ensure_ascii=False).encode('utf-8'),
+                              headers={'User-Agent': UA, "Content-Type": "application/json"}
+                              )
+                    print(f"公众号“{account}”文章获取结束，该账号下一次获取起始时间为 {next_start_time}")
+            else:
+                print(json.dumps(rsp_body, ensure_ascii=False))
+                if 'base_resp' in rsp_body:
+                    if rsp_body['base_resp']['err_msg'] == "freq control":
+                        print("接口频率限制，稍后再试，本次获取结束")
+                        break_flag = True
+                        break
+        except Exception as e:
+            print(repr(e))
+    redis_client.close()
+    driver.quit()

spiders/MediaSpiders/run.py

@@ -19,5 +19,5 @@ dirpath = os.path.dirname(os.path.abspath(__file__))
 
 sys.path.append(dirpath)
 # 等效于：scrapy crawl FacebookUserSpider -a params="{}"
-# execute(['scrapy', 'crawl', 'hot_search_spider', '-a', 'params={}'])
+# execute(['scrapy', 'crawl', 'LinkedinUserSpider', '-a', 'params={}'])
-execute(['scrapy', 'crawl', 'BaiduHotSearchSprder', '-a', 'params={}'])
+execute(['scrapy', 'crawl', 'TwitterUserSpider', '-a', 'params={}'])