代码收藏家技术教程 2025-02-15

使用 Python 和 Selenium 轻松抓取 Twitter follower和following数据

抓取数据示例

{
  "userId": "95092020",
  "isBlueVerified": true,
  "following": false,
  "canDm": false,
  "canMediaTag": false,
  "createdAt": "Sun Dec 06 23:33:02 +0000 2009",
  "defaultProfile": false,
  "defaultProfileImage": false,
  "description": "Best-Selling Author | Clinical Psychologist | #1 Education Podcast | Enroll to @petersonacademy now:",
  "fastFollowersCount": 0,
  "favouritesCount": 161,
  "followersCount": 5613000,
  "friendCount": 1686,
  "hasCustomTimelines": true,
  "isTranslator": false,
  "listedCount": 14572,
  "location": "",
  "mediaCount": 7318,
  "name": "Dr Jordan B Peterson",
  "normalFollowersCount": 5613000,
  "pinnedTweetIdsStr": [
    "1849105729438790067"
  ],
  "possiblySensitive": false,
  "profileImageUrlHttps": "https://pbs.twimg.com/profile_images/1407056014776614923/TKBC60e1_normal.jpg",
  "profileInterstitialType": "",
  "username": "jordanbpeterson",
  "statusesCount": 51343,
  "translatorType": "none",
  "verified": false,
  "wantRetweets": false,
  "withheldInCountries": []
}

无需设置即可直接运行代码

我们的指南提供了完整、随时可用的代码，可无缝抓取 Twitter 关注数据。使用 Python 和 Selenium，可自动收集数据并高效捕获性能日志。无需额外设置即可解锁 Twitter 洞察！

步骤 1：设置您的环境

首先，安装 Selenium 以实现浏览器自动化
1. ```
pip install -r requirements.txt
```
第 2 步：下载 ChromeDriver
1. 下载 ChromeDriver for Selenium 以与 Chrome 浏览器交互。点击此处获取 ChromeDriver Download

步骤 3：设置 Chrome 选项

self.options = webdriver.ChromeOptions()
user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36'
self.options.add_argument(f'user-agent={user_agent}')
self.options.add_argument('--disable-gpu')
self.options.add_argument('--no-sandbox')
self.options.add_argument('--disable-dev-shm-usage')
self.options.add_argument(f"--remote-debugging-port={remote_debugging_port}")


js_script_name = modify_random_canvas_js()
self.browser = self.get_browser(script_files=[js_script_name], record_network_log=True, headless=True)

Step 4: Access the Target Page

self.browser.switch_to.new_window('tab')
url = 'https://x.com/1_usd_promotion/following'
self.browser.get(url=url)

time.sleep(2)

exist_entry_id = []

self.get_network(exist_entry_id, result_list)

print(f'tweet result length = {len(result_list)}')

步骤 5：获取浏览器性能日志

performance_log = self.browser.get_log("performance")
for packet in performance_log:

    msg = packet.get("message")
    message = json.loads(packet.get("message")).get("message")
    packet_method = message.get("method")

    if "Network" in packet_method and 'Following' in msg:

        request_id = message.get("params").get("requestId")

        resp = self.browser.execute_cdp_cmd('Network.getResponseBody', {'requestId': request_id})

步骤 6：从响应中提取数据

body = resp.get("body")
body = json.loads(body)
instructions = body['data']['user']['result']['timeline']['timeline'].get('instructions', None)
if not instructions:
    continue
for instruction in instructions:
    entries = instruction.get('entries', None)