Analyse quotidienne des sentiments des commentaires TikTok

import requests
import json
from pathlib import Path
from datetime import datetime

API_KEY = "your_scavio_api_key"
BASE_URL = "https://api.scavio.dev/api/v1/tiktok"
BRAND = "yourbrand"
COMPETITORS = ["competitor1", "competitor2"]
POSITIVE_WORDS = ["love", "amazing", "best", "great", "awesome", "perfect", "recommend"]
NEGATIVE_WORDS = ["hate", "worst", "terrible", "awful", "broken", "scam", "avoid", "disappointing"]

def search_videos(query: str) -> list[dict]:
    res = requests.post(
        f"{BASE_URL}/search/videos",
        headers={"Authorization": f"Bearer {API_KEY}"},
        json={"query": query},
        timeout=15,
    )
    res.raise_for_status()
    return res.json().get("videos", [])

def get_comments(video_id: str) -> list[dict]:
    res = requests.post(
        f"{BASE_URL}/video/comments",
        headers={"Authorization": f"Bearer {API_KEY}"},
        json={"video_id": video_id},
        timeout=15,
    )
    res.raise_for_status()
    return res.json().get("comments", [])

def classify_sentiment(text: str) -> str:
    lower = text.lower()
    pos = sum(1 for w in POSITIVE_WORDS if w in lower)
    neg = sum(1 for w in NEGATIVE_WORDS if w in lower)
    if pos > neg:
        return "positive"
    if neg > pos:
        return "negative"
    return "neutral"

def run():
    videos = search_videos(BRAND)
    mentions = {"positive": [], "negative": [], "neutral": [], "competitor": []}

    for video in videos[:20]:
        video_id = video.get("id", "")
        if not video_id:
            continue
        comments = get_comments(video_id)
        for comment in comments:
            text = comment.get("text", "")
            lower = text.lower()
            if BRAND.lower() in lower:
                sentiment = classify_sentiment(text)
                mentions[sentiment].append({
                    "text": text[:200],
                    "likes": comment.get("likes", 0),
                    "video_id": video_id,
                })
            for comp in COMPETITORS:
                if comp.lower() in lower:
                    mentions["competitor"].append({"text": text[:200], "competitor": comp, "video_id": video_id})

    date = datetime.utcnow().strftime("%Y-%m-%d")
    report = {
        "date": date,
        "videos_scanned": min(len(videos), 20),
        "positive": len(mentions["positive"]),
        "negative": len(mentions["negative"]),
        "neutral": len(mentions["neutral"]),
        "competitor_mentions": len(mentions["competitor"]),
        "top_positive": sorted(mentions["positive"], key=lambda x: x["likes"], reverse=True)[:5],
        "top_negative": sorted(mentions["negative"], key=lambda x: x["likes"], reverse=True)[:5],
    }
    Path(f"tiktok_sentiment_{date}.json").write_text(json.dumps(report, indent=2))
    print(f"Sentiment: +{report['positive']} / -{report['negative']} / ~{report['neutral']} | Competitor: {report['competitor_mentions']}")

if __name__ == "__main__":
    run()

const API_KEY = "your_scavio_api_key";
const BASE_URL = "https://api.scavio.dev/api/v1/tiktok";
const BRAND = "yourbrand";
const POSITIVE = ["love", "amazing", "best", "great", "awesome"];
const NEGATIVE = ["hate", "worst", "terrible", "awful", "broken"];

async function searchVideos(query) {
  const res = await fetch(`${BASE_URL}/search/videos`, { method: "POST", headers: { Authorization: `Bearer ${API_KEY}`, "content-type": "application/json" }, body: JSON.stringify({ query }) });
  return (await res.json()).videos ?? [];
}

async function getComments(videoId) {
  const res = await fetch(`${BASE_URL}/video/comments`, { method: "POST", headers: { Authorization: `Bearer ${API_KEY}`, "content-type": "application/json" }, body: JSON.stringify({ video_id: videoId }) });
  return (await res.json()).comments ?? [];
}

const videos = await searchVideos(BRAND);
let pos = 0, neg = 0, neu = 0;
for (const v of videos.slice(0, 20)) {
  const comments = await getComments(v.id ?? "");
  for (const c of comments) {
    const lower = (c.text ?? "").toLowerCase();
    if (!lower.includes(BRAND.toLowerCase())) continue;
    const p = POSITIVE.filter((w) => lower.includes(w)).length;
    const n = NEGATIVE.filter((w) => lower.includes(w)).length;
    if (p > n) pos++; else if (n > p) neg++; else neu++;
  }
}
console.log(`Sentiment: +${pos} / -${neg} / ~${neu}`);