Yves Gugger
3485668b5e
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Adds HUNT (Sniper/Trend/Forge), CFO dashboard (burn rate + kill list), and a plugin-based Analyze side panel with caching and SSRF hardening.
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
"""
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Trend Surfer: fetch trending search queries via public RSS (no API key).
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Note: This still performs an external HTTP request to Google Trends RSS.
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It's not a paid API and uses public endpoints.
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"""
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from __future__ import annotations
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from datetime import datetime, timezone
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from typing import Optional
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from xml.etree import ElementTree as ET
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import httpx
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async def fetch_google_trends_daily_rss(geo: str = "US", *, timeout_seconds: float = 10.0) -> list[dict]:
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geo = (geo or "US").upper().strip()
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url = f"https://trends.google.com/trends/trendingsearches/daily/rss?geo={geo}"
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async with httpx.AsyncClient(timeout=timeout_seconds, follow_redirects=True) as client:
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res = await client.get(url)
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res.raise_for_status()
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xml = res.text
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root = ET.fromstring(xml)
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items: list[dict] = []
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for item in root.findall(".//item"):
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title = item.findtext("title") or ""
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link = item.findtext("link")
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pub = item.findtext("pubDate")
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approx = item.findtext("{*}approx_traffic") # namespaced
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published_at: Optional[datetime] = None
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if pub:
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try:
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# Example: "Sat, 14 Dec 2025 00:00:00 +0000"
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published_at = datetime.strptime(pub, "%a, %d %b %Y %H:%M:%S %z").astimezone(timezone.utc)
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except Exception:
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published_at = None
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if title.strip():
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items.append(
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{
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"title": title.strip(),
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"approx_traffic": approx.strip() if approx else None,
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"published_at": published_at,
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"link": link,
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}
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)
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return items
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