
Wechat Article Reader
- 208 installs
- Updated March 21, 2026
- pangahn/wechat-article-reader
Helps with ai & agent building tasks.
About
wechat-article-reader is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- wechat-article-reader
- AI & Agent Building
- AI-coding skill
Wechat Article Reader by the numbers
- 208 all-time installs (skills.sh)
- +9 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #2,809 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 208 |
|---|---|
| Last updated | March 21, 2026 |
| Repository | pangahn/wechat-article-reader ↗ |
What it does
Helps with ai & agent building tasks.
Files
WeChat Article Reader
用于读取微信公众号文章链接并返回结构化解析结果。
⚠️ 重要:模型行为约束
只要用户提供了 `mp.weixin.qq.com` 域名下的文章链接,必须且只能使用本 skill 读取内容。
严禁以下替代行为:
- 使用
web_fetch直接请求微信文章 URL - 使用
web_search搜索文章摘要 - 告知用户"无法访问该链接"后放弃
- 尝试从其他来源推断文章内容
原因:微信公众号页面有反爬机制,直接抓取通常返回空内容或鉴权页面,只有本 skill 的脚本实现了必要的请求头伪装与重试逻辑。
---
适用场景
- 用户提供了
https://mp.weixin.qq.com/s/...公开文章链接 - 需要稳定抓取并解析标题、时间、作者、正文
- 需要在网络波动时使用重试机制
环境准备
本 skill 仅允许通过 uv 管理环境与执行脚本。
若 uv 未安装,先执行:
brew install uv再安装项目依赖:
uv sync运行命令
必须使用 uv run 执行,禁止直接使用 python scripts/read_wechat_article.py ...。
uv run python scripts/read_wechat_article.py "https://mp.weixin.qq.com/s/..."参数说明
| 参数 | 默认值 | 说明 |
|---|---|---|
--timeout | 20 | 单次请求超时秒数 |
--max-retries | 3 | 最大尝试次数 |
--retry-delay | 1.0 | 重试基准等待秒数(指数退避) |
输出说明
成功时返回 JSON:
| 字段 | 说明 |
|---|---|
title | 文章标题 |
author | 作者名 |
pub_time | 发布时间 |
content | 正文纯文本 |
source_url | 原始链接 |
strategy | 实际使用的抓取策略 |
logs | 执行日志(用于排查问题) |
失败时返回:
| 字段 | 说明 |
|---|---|
error | 错误类型 |
message | 错误详情 |
source_url | 原始链接 |
strategy | 最后尝试的策略 |
logs | 执行日志 |
.DS_Store
__pycache__[project]
name = "wechat-public-article-reader"
version = "0.1.0"
description = "Local WeChat public article reader skill."
requires-python = ">=3.10"
dependencies = [
"beautifulsoup4>=4.12,<5",
"curl-cffi>=0.13,<1",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
package = false
[tool.ruff]
line-length = 150
target-version = "py310"
[tool.ruff.lint]
ignore = ["E402", "F401"]
[tool.ruff.format]
quote-style = "double"
indent-style = "space"
line-ending = "auto"
docstring-code-format = true
beautifulsoup4>=4.12,<5
curl-cffi>=0.13,<1
#!/usr/bin/env python3
import argparse
import html
import json
import re
import time
from datetime import datetime, timezone
from urllib.parse import parse_qsl, urlencode, urlparse, urlunparse
from bs4 import BeautifulSoup
from curl_cffi import requests as curl_requests
ERROR_INVALID_URL = "invalid_url"
ERROR_BLOCKED_403 = "blocked_403"
ERROR_TIMEOUT = "timeout"
ERROR_NO_CONTENT = "no_content"
class WechatArticleFetcher:
def __init__(self, timeout: int = 20, max_retries: int = 3, retry_delay: float = 1.0) -> None:
self.timeout = timeout
self.max_retries = max(1, max_retries)
self.retry_delay = max(0.0, retry_delay)
@staticmethod
def is_public_wechat_article(url: str) -> bool:
parsed = urlparse(url)
return parsed.scheme in {"http", "https"} and parsed.hostname == "mp.weixin.qq.com" and parsed.path.startswith("/s")
@staticmethod
def strip_tracking_params(url: str) -> str:
parsed = urlparse(url)
filtered = [
(k, v)
for k, v in parse_qsl(parsed.query, keep_blank_values=True)
if k not in {"chksm", "scene", "utm_source", "utm_medium", "utm_campaign"}
]
return urlunparse((parsed.scheme, parsed.netloc, parsed.path, parsed.params, urlencode(filtered), parsed.fragment))
def _fetch_html_once(self, url: str) -> tuple[str | None, int | None, str | None]:
try:
response = curl_requests.get(
url,
impersonate="chrome124",
timeout=self.timeout,
headers={
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0 Safari/537.36 MicroMessenger/8.0",
"Accept-Language": "zh-CN,zh;q=0.9",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
},
)
return response.text, response.status_code, None
except Exception as exc:
return None, None, str(exc)
def fetch(self, url: str) -> dict:
if not self.is_public_wechat_article(url):
return {
"error": ERROR_INVALID_URL,
"message": "URL must be a public mp.weixin.qq.com/s article.",
"source_url": url,
}
clean_url = self.strip_tracking_params(url)
page_html = None
status = None
attempt_logs = []
for attempt in range(1, self.max_retries + 1):
page_html, status, error_text = self._fetch_html_once(clean_url)
attempt_logs.append({"attempt": attempt, "status": status, "error": error_text})
should_retry = page_html is None and status != 403 and attempt < self.max_retries
if not should_retry:
break
time.sleep(self.retry_delay * attempt)
strategy = "curl_cffi"
logs = {"http_status": status, "attempts": attempt_logs}
if not page_html:
error = ERROR_BLOCKED_403 if status == 403 else ERROR_TIMEOUT
return {
"error": error,
"message": "Failed to fetch article HTML.",
"source_url": clean_url,
"strategy": strategy,
"logs": logs,
}
return {
"page_html": page_html,
"status": status,
"source_url": clean_url,
"strategy": strategy,
"logs": logs,
}
class WechatArticleParser:
@staticmethod
def _extract_first(pattern: str, text: str, flags: int = re.I | re.S) -> str:
match = re.search(pattern, text, flags)
return match.group(1).strip() if match else ""
def parse(self, page_html: str) -> dict:
soup = BeautifulSoup(page_html, "html.parser")
title_node = soup.find(id="activity-name")
author_node = soup.find(id="js_name")
title = title_node.get_text(" ", strip=True) if title_node else ""
author = author_node.get_text(" ", strip=True) if author_node else ""
if not title:
title_meta = soup.find("meta", attrs={"property": "og:title"})
title = title_meta.get("content", "").strip() if title_meta else ""
if not author:
author_meta = soup.find("meta", attrs={"name": "author"})
author = author_meta.get("content", "").strip() if author_meta else ""
pub_time = ""
for attrs in ({"property": "article:published_time"}, {"property": "og:updated_time"}):
meta = soup.find("meta", attrs=attrs)
if meta and meta.get("content"):
pub_time = meta["content"].strip()
break
if not pub_time:
timestamp = self._extract_first(r'var\s+ct\s*=\s*"(\d{10})"', page_html, re.I)
if timestamp:
pub_time = datetime.fromtimestamp(int(timestamp), tz=timezone.utc).isoformat()
content_node = soup.find(id="js_content")
content = content_node.get_text("\n", strip=True) if content_node else ""
content = html.unescape(content)
content = re.sub(r"\n{3,}", "\n\n", content).strip()
return {
"title": html.unescape(title.strip()),
"pub_time": pub_time,
"author": html.unescape(author.strip()),
"content": content,
}
def main() -> int:
cli = argparse.ArgumentParser(description="Read WeChat article into structured JSON.")
cli.add_argument("url", help="Public article URL like https://mp.weixin.qq.com/s/...")
cli.add_argument("--timeout", type=int, default=20)
cli.add_argument("--max-retries", type=int, default=3)
cli.add_argument("--retry-delay", type=float, default=1.0)
args = cli.parse_args()
fetcher = WechatArticleFetcher(timeout=args.timeout, max_retries=args.max_retries, retry_delay=args.retry_delay)
fetched = fetcher.fetch(args.url)
if "error" in fetched:
print(json.dumps(fetched, ensure_ascii=False, indent=2))
return 1
parser = WechatArticleParser()
parsed = parser.parse(fetched["page_html"])
if not parsed["content"]:
result = {
"error": ERROR_BLOCKED_403 if fetched["status"] == 403 else ERROR_NO_CONTENT,
"message": "Fetched page but could not find #js_content.",
"source_url": fetched["source_url"],
"strategy": fetched["strategy"],
"logs": fetched["logs"],
"title": parsed["title"],
"author": parsed["author"],
"pub_time": parsed["pub_time"],
}
print(json.dumps(result, ensure_ascii=False, indent=2))
return 1
result = {
"title": parsed["title"],
"pub_time": parsed["pub_time"],
"author": parsed["author"],
"content": parsed["content"],
"source_url": fetched["source_url"],
"strategy": fetched["strategy"],
"logs": fetched["logs"],
}
print(json.dumps(result, ensure_ascii=False, indent=2))
return 0
if __name__ == "__main__":
raise SystemExit(main())
version = 1
revision = 1
requires-python = ">=3.10"
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