feat(monitor): 抖音 Web 接口客户端 —— 绕开爬虫子进程,直接发 HTTP
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移植自 mac-agent-os 的 mediacrawler_adapter:不起子进程、不开页面,用浏览器里那份
登录态直接调抖音 Web 接口。产物键名照抄 store/douyin,所以 ingest 那条链路一个字不用改。

**目前能用的(真环境实测,非推断)**:

    profile/other : 200, 7075 字节  —— 博主主页指标(粉丝/获赞/作品数/昵称)
    aweme/detail  : 200, 45425 字节 —— 单条作品详情(含点赞/评论/收藏/分享)

**目前不能用的:作品列表 `aweme/post`。** 两个互相独立的原因:
  1. 这个接口被抖音单独升级成了真校验:不带 x-tt-argus 回 403「Uifid Not Found」,
     带上 dummy 值回 200 + **空 body**。也就是说「头在不在」骗得过,「真校验」过不了。
     同一套头打 profile/other 和 aweme/detail 都是通的 —— 抖音是挑着接口加保护的,
     挑中的恰好是「批量拉作品列表」这个最敏感的动作。
  2. 改走页面截获也不行:CDP 浏览器打开博主主页会落到「验证码中间页」(当天大量探测的
     代价,过几小时要重测)。

  所以现在的边界是:**已知作品的指标刷新能做,自动发现新作品做不了**。

**排查中控住变量后得到的两条事实**(都写进注释了):
  · `Accept` / `Accept-Language` / `Referer` 才是主页接口能返回真数据的原因 —— 只有
    UA+client hints+Cookie 时是 200 但仅 121 字节的空壳,补上这三个头变 7074 字节。
    (我先前猜的 sec-ch-ua 不是关键。)
  · 因此 UA 与 client hints 必须**成套地取自同一个浏览器**,所以 BrowserIdentity 一次
    从 CDP 取齐 cookie + UA + hints,而不是各自写死。

「200 + 空 body 必须当场报错」也是刻意写死的:放过去它会在下游变成「这个博主没作品」,
把一次失败伪装成一条正常结果 —— 爬虫那条路正是这么栽的,还被翻译成「账号被封」。

测试 +11:cookie 解析、请求头成套性(含 uifid 缺失/回退)、产物键名与 store 对齐、
以及 _get 的三条失败路径(空 body / 403 带网关原话 / 正常返回)。
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"""
douyin_scrape.py — 抖音抓取适配器
工具:OpenCLI douyin → agent-browser(Chrome DOM提取)
"""
import asyncio, json, logging
from services.adapters import ScrapeAdapter
logger = logging.getLogger("dashboard.scrape.douyin")
class DouyinScrapeAdapter(ScrapeAdapter):
platform = "douyin"
adapter_name = "douyin_scrape"
# ── 公开接口 ──
async def collect_user(self, user_id: str, limit: int = 20) -> list[dict]:
"""抓取指定用户的视频列表(含评论)"""
results = []
ok, data, tool = await self._try_tools(2, [
("opencli", lambda: self._opencli_user_videos(user_id, limit)),
("agent-browser", lambda: self._browser_user_profile(user_id, limit)),
])
if ok and data:
for item in data:
results.append(self._to_schema(item))
return results
async def collect_item(self, target: str, depth: str = "light",
tool_level: int = 2) -> dict:
"""抓取单条视频详情"""
aweme_id = self._extract_aweme_id(target)
if not aweme_id:
return {"error": f"无法解析视频ID: {target}"}
ok, data, tool = await self._try_tools(tool_level, [
("opencli", lambda: self._opencli_stats(aweme_id)),
("agent-browser", lambda: self._browser_video_page(aweme_id)),
])
if ok and data:
return self._to_schema(data)
return {"error": "所有工具均无法抓取"}
async def collect_comments(self, item_id: str, limit: int = 20) -> list[dict]:
"""抓取评论区(需先有作者 sec_uid,目前返回空表)"""
return []
async def collect_search(self, keyword: str, limit: int = 20) -> list[dict]:
"""搜索视频"""
results = []
ok, data, tool = await self._try_tools(2, [
("opencli", lambda: self._opencli_search(keyword, limit)),
])
if ok and data:
for item in data:
results.append(self._to_schema(item))
return results
# ── OpenCLI 调用 ──
async def _opencli_user_videos(self, sec_uid: str, limit: int):
data = await self._run_opencli([
"douyin", "user-videos", sec_uid,
"--limit", str(limit), "--with_comments", "true",
"-f", "json"
])
# OpenCLI JSON 输出直接是数组
if isinstance(data, list):
return data
if isinstance(data, dict) and "items" in data:
return data["items"]
# YAML 格式回退
if isinstance(data, list) and len(data) > 0 and "aweme_id" in data[0]:
return data
return []
async def _opencli_stats(self, aweme_id: str):
try:
return await self._run_opencli([
"douyin", "stats", aweme_id, "-f", "json"
])
except Exception as e:
logger.warning(f" ⚠️ douyin stats 失败: {e}")
return None
async def _opencli_search(self, keyword: str, limit: int):
# OpenCLI 暂无抖音搜索命令,返回空
return []
# ── agent-browser 降级 ──
async def _browser_video_page(self, aweme_id: str):
"""通过 Chrome 打开视频页提取数据"""
from services.adapters.browser_helpers import page_evaluate
url = f"https://www.douyin.com/video/{aweme_id}"
js = """() => {
const body = document.body.innerText || '';
const title = document.title || '';
const url = window.location.href;
const uidM = body.match(/抖音号[::]\\s*(\\S+)/);
const nickM = body.match(/@(\\S+)/);
function extractNum(label) {
var m = body.match(new RegExp('(\\\\d+(?:\\\\.\\\\d+)?[万w]?)\\\\s*' + label));
if (m) return m[1];
m = body.match(new RegExp(label + '\\\\s*(\\\\d+(?:\\\\.\\\\d+)?[万w]?)'));
return m ? m[1] : null;
}
return {
aweme_id: '"' + url.match(/\\/video\\/(\\d+)/)?.[1] + '"',
title: title,
author_nickname: nickM ? nickM[1] : '',
douyin_id: uidM ? uidM[1] : '',
digg_count: extractNum('获赞') || '',
fans: extractNum('粉丝') || '',
following: extractNum('关注') || '',
};
}"""
data = await page_evaluate(url, js)
return data
async def _browser_user_profile(self, user_id: str, limit: int):
return []
# ── URL 解析 ──
def _extract_aweme_id(self, target: str) -> str:
"""从 URL 或文本中提取 aweme_id"""
import re
# 视频页: douyin.com/video/{id}
m = re.search(r'douyin\.com/video/(\d+)', target)
if m:
return m.group(1)
# iesdouyin.com/share/video/{id}
m = re.search(r'iesdouyin\.com/share/video/(\d+)', target)
if m:
return m.group(1)
# 纯数字
if target.isdigit():
return target
return ""
# ── 统一 Schema 转换 ──
def _to_schema(self, raw: dict) -> dict:
"""OpenCLI 原始数据 → 统一 Schema"""
return {
"platform": "douyin",
"item_id": raw.get("aweme_id", ""),
"url": f"https://www.douyin.com/video/{raw.get('aweme_id', '')}",
"title": raw.get("title", ""),
"author_name": raw.get("author_nickname", raw.get("nickname", "")),
"author_id": raw.get("author_id", raw.get("douyin_id", "")),
"published_at": raw.get("create_time", raw.get("published_at", "")),
"text_content": raw.get("title", ""),
"tags": [],
"stats": {
"likes": raw.get("digg_count", raw.get("likes", 0)),
"comments": raw.get("comment_count", 0),
"shares": raw.get("share_count", 0),
"views": raw.get("play_count", raw.get("views", 0)),
},
"extra": {
"sec_uid": raw.get("sec_uid", ""),
"duration": raw.get("duration", 0),
"status": raw.get("status", ""),
},
"media": [{
"type": "video",
"url": raw.get("play_url", ""),
"duration": raw.get("duration", 0),
}] if raw.get("play_url") else [],
"comments": [
{
"author": c.get("nickname", ""),
"text": c.get("text", ""),
"likes": c.get("digg_count", 0),
}
for c in (raw.get("top_comments") or [])
] if raw.get("top_comments") else [],
}