import os, requests
YT = os.environ["YOUTUBE_API_KEY"]
MV = os.environ["MAVERA_API_KEY"]
YT_BASE = "https://www.googleapis.com/youtube/v3"
MV_BASE = "https://app.mavera.io/api/v1"
MV_H = {"Authorization": f"Bearer {MV}", "Content-Type": "application/json"}
COMPETITOR_CHANNEL_ID = "UC_COMPETITOR_CHANNEL_ID"
# 1. Get all playlists (1 quota unit per page)
playlists_data = requests.get(f"{YT_BASE}/playlists", params={
"key": YT, "channelId": COMPETITOR_CHANNEL_ID,
"part": "snippet,contentDetails", "maxResults": 25,
}).json()
if "error" in playlists_data:
raise SystemExit(f"YouTube API error: {playlists_data['error']['message']}")
playlists = []
for pl in playlists_data.get("items", []):
playlists.append({
"id": pl["id"],
"title": pl["snippet"]["title"],
"description": pl["snippet"].get("description", "")[:200],
"video_count": pl["contentDetails"]["itemCount"],
"published": pl["snippet"]["publishedAt"][:10],
})
print(f"Found {len(playlists)} playlists")
# 2. Get items for each playlist (1 quota unit per page per playlist)
playlist_details = []
for pl in playlists[:10]:
items_data = requests.get(f"{YT_BASE}/playlistItems", params={
"key": YT, "playlistId": pl["id"],
"part": "snippet", "maxResults": 20,
}).json()
videos = []
for item in items_data.get("items", []):
s = item["snippet"]
videos.append({
"position": s["position"],
"title": s["title"],
"description": s.get("description", "")[:150],
})
playlist_details.append({
"title": pl["title"],
"description": pl["description"],
"video_count": pl["video_count"],
"published": pl["published"],
"videos": videos,
})
# 3. Build playlist map for Mave
playlist_block = ""
for pd in playlist_details:
playlist_block += f"\n### Playlist: \"{pd['title']}\" ({pd['video_count']} videos, created {pd['published']})\n"
playlist_block += f"Description: {pd['description']}\n"
playlist_block += "Videos (in order):\n"
for v in pd["videos"]:
playlist_block += f" {v['position']+1}. {v['title']}\n"
# 4. Strategic analysis via Mave
analysis = requests.post(f"{MV_BASE}/mave/chat", headers=MV_H, json={
"message": f"""Analyze this competitor's YouTube playlist strategy.
COMPETITOR PLAYLISTS:
{playlist_block}
Produce:
1. **Content Themes**: What topics does this competitor prioritize? Rank by investment (playlist count × video count).
2. **Sequencing Strategy**: How do they order videos within playlists? Do they follow a learning path, chronological release, or engagement-optimized sequence?
3. **Narrative Arcs**: Do playlists tell a story? Identify any viewer journey patterns (awareness → consideration → conversion).
4. **Content Gaps**: What obvious topics are MISSING from their playlist strategy?
5. **Recommendations**: 3-5 playlist concepts our brand should create to fill gaps the competitor hasn't covered.
6. **Counter-Programming**: For each competitor playlist, suggest a playlist we could create that directly competes but differentiates.""",
}).json()
print("\nPLAYLIST-BASED CONTENT STRATEGY")
print("=" * 60)
print(f"Competitor channel: {COMPETITOR_CHANNEL_ID}")
print(f"Playlists analyzed: {len(playlist_details)}")
print(f"Total videos across playlists: {sum(pd['video_count'] for pd in playlist_details)}")
print("\n" + analysis.get("content", "")[:2500])
