【教程】用Python+Agent-Reach零成本构建AI信息搜集助手 - 闲社

python --version
# 输出应 >= 3.9

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# 创建虚拟环境（推荐）
python -m venv venv
source venv/bin/activate
# 安装Agent-Reach
pip install agent-reach
# 验证
agent-reach --version

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git clone https://github.com/Panniantong/Agent-Reach.git
cd Agent-Reach
pip install -e .

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playwright install

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from agent_reach import TwitterReach
twitter = TwitterReach()
results = twitter.search("AI Agent 2026", limit=10)
for tweet in results:
print(f"作者: {tweet.author}")
print(f"内容: {tweet.text[:100]}...")
print(f"时间: {tweet.created_at}")

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from agent_reach import RedditReach
reddit = RedditReach()
posts = reddit.get_hot("MachineLearning", limit=5)
for post in posts:
print(f"标题: {post.title}")
print(f"点赞: {post.score}")
print(f"评论: {post.num_comments}")

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from agent_reach import BilibiliReach
bili = BilibiliReach()
videos = bili.search("Python教程", limit=5)
for video in videos:
print(f"标题: {video.title}")
print(f"UP主: {video.author}")
print(f"播放量: {video.play_count}")

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from agent_reach import XiaohongshuReach
xhs = XiaohongshuReach()
notes = xhs.search("AI工具推荐", limit=5)
for note in notes:
print(f"标题: {note.title}")
print(f"点赞: {note.likes}")

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from agent_reach import GitHubReach
gh = GitHubReach()
repos = gh.search_repos("AI agent python", sort="stars", limit=10)
for repo in repos:
print(f"仓库: {repo.full_name}")
print(f"星标: {repo.stars}")
print(f"描述: {repo.description}")

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#!/usr/bin/env python3
import json
from datetime import datetime
from agent_reach import TwitterReach, RedditReach, GitHubReach
class AINewsAggregator:
def __init__(self):
self.twitter = TwitterReach()
self.reddit = RedditReach()
self.github = GitHubReach()
self.results = {
"twitter": [],
"reddit": [],
"github": [],
"generated_at": datetime.now().isoformat()
}
def collect_twitter(self, keyword="AI news", limit=5):
print(f"[1/3] 搜索Twitter: {keyword}")
tweets = self.twitter.search(keyword, limit=limit)
for tweet in tweets:
self.results["twitter"].append({
"author": tweet.author,
"text": tweet.text,
"url": tweet.url
})
print(f" ✓ 获取 {len(self.results['twitter'])} 条")
def collect_reddit(self, subreddit="MachineLearning", limit=5):
print(f"[2/3] 获取Reddit: r/{subreddit}")
posts = self.reddit.get_hot(subreddit, limit=limit)
for post in posts:
self.results["reddit"].append({
"title": post.title,
"score": post.score,
"url": post.url
})
print(f" ✓ 获取 {len(self.results['reddit'])} 条")
def collect_github(self, keyword="AI agent", limit=5):
print(f"[3/3] 搜索GitHub: {keyword}")
repos = self.github.search_repos(keyword, sort="stars", limit=limit)
for repo in repos:
self.results["github"].append({
"name": repo.full_name,
"stars": repo.stars,
"description": repo.description
})
print(f" ✓ 获取 {len(self.results['github'])} 个")
def generate_report(self, output_file="ai_news_report.json"):
with open(output_file, "w", encoding="utf-8") as f:
json.dump(self.results, f, ensure_ascii=False, indent=2)
print(f"\n报告已保存: {output_file}")
def run(self):
print("=== AI资讯聚合器 ===\n")
self.collect_twitter()
self.collect_reddit()
self.collect_github()
self.generate_report()
if __name__ == "__main__":
AINewsAggregator().run()

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=== AI资讯聚合器 ===
[1/3] 搜索Twitter: AI news
✓ 获取 5 条
[2/3] 获取Reddit: r/MachineLearning
✓ 获取 5 条
[3/3] 搜索GitHub: AI agent
✓ 获取 5 个
报告已保存: ai_news_report.json

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playwright install chromium

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import openai
with open("ai_news_report.json", "r") as f:
data = json.load(f)
prompt = f"基于以下动态生成中文摘要...
{json.dumps(data, ensure_ascii=False)}"
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[{"role": "user", "content": prompt}]
)

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0 9 * * * cd /项目路径 && python ai_news_aggregator.py

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