Workflow

Cross-Platform Brand Mention Monitoring Workflow

Workflow that monitors brand mentions across Google, Reddit, YouTube, TikTok, and Amazon daily. Single API, all platforms, daily digest.

Overview

Brands get mentioned across Google search, Reddit threads, YouTube videos, TikTok posts, and Amazon reviews. Monitoring all platforms manually is impossible. Enterprise tools charge $500+/month. This workflow uses Scavio to scan all platforms daily for brand mentions and delivers a unified digest.

Trigger

Daily at 9 AM for the marketing team.

Schedule

Daily

Workflow Steps

1

Load Brand Keywords

Read the list of brand names, product names, and branded hashtags to monitor.

2

Search Each Platform

For each brand keyword, search Google, Reddit, YouTube, TikTok, and Amazon via Scavio API.

3

Classify Mentions

Classify each mention as positive, negative, or neutral based on snippet context.

4

Deduplicate and Prioritize

Remove duplicate mentions, prioritize high-engagement or negative mentions.

5

Send Daily Digest

Format mentions into a daily digest grouped by platform and sentiment. Send to Slack or email.

Python Implementation

Python
import requests, os, json
from datetime import datetime

API_KEY = os.environ["SCAVIO_API_KEY"]
HS = {"x-api-key": API_KEY, "Content-Type": "application/json"}
HT = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

PLATFORMS = ["google", "reddit", "youtube", "amazon"]

def search_platform(brand: str, platform: str) -> list:
    resp = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers=HS,
        json={"query": brand, "platform": platform, "country_code": "us"},
        timeout=10,
    )
    data = resp.json()
    key = "video_results" if platform == "youtube" else "organic_results"
    return [{"title": r.get("title", ""), "url": r.get("link", ""), "snippet": r.get("snippet", ""), "platform": platform}
            for r in data.get(key, [])[:5]]

def search_tiktok(brand: str) -> list:
    resp = requests.post(
        "https://api.scavio.dev/api/v1/tiktok/search",
        headers=HT,
        json={"keyword": brand},
        timeout=15,
    )
    return [{"title": v.get("desc", "")[:80], "url": f"https://tiktok.com/@{v.get('author', {}).get('unique_id', '')}", "platform": "tiktok",
             "plays": v.get("stats", {}).get("play_count", 0)}
            for v in resp.json().get("videos", [])[:5]]

def daily_brand_monitor(brands: list) -> dict:
    all_mentions = []
    for brand in brands:
        for platform in PLATFORMS:
            all_mentions.extend(search_platform(brand, platform))
        all_mentions.extend(search_tiktok(brand))

    return {
        "date": datetime.now().strftime("%Y-%m-%d"),
        "total_mentions": len(all_mentions),
        "by_platform": {p: len([m for m in all_mentions if m["platform"] == p]) for p in PLATFORMS + ["tiktok"]},
        "top_mentions": all_mentions[:20],
    }

report = daily_brand_monitor(["scavio"])
print(f"Date: {report['date']}, Total mentions: {report['total_mentions']}")
for platform, count in report["by_platform"].items():
    print(f"  {platform}: {count} mentions")

JavaScript Implementation

JavaScript
const HS = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
const HT = {'Authorization': 'Bearer '+process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
const PLATFORMS = ['google','reddit','youtube','amazon'];

async function searchPlatform(brand, platform) {
  const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:HS, body:JSON.stringify({query:brand, platform, country_code:'us'})});
  const d = await r.json();
  const key = platform==='youtube' ? 'video_results' : 'organic_results';
  return (d[key]||[]).slice(0,5).map(r=>({title:r.title||'', url:r.link||'', snippet:r.snippet||'', platform}));
}

async function searchTiktok(brand) {
  const r = await fetch('https://api.scavio.dev/api/v1/tiktok/search', {method:'POST', headers:HT, body:JSON.stringify({keyword:brand})});
  return ((await r.json()).videos||[]).slice(0,5).map(v=>({title:(v.desc||'').slice(0,80), url:'https://tiktok.com/@'+(v.author?.unique_id||''), platform:'tiktok', plays:v.stats?.play_count||0}));
}

async function dailyBrandMonitor(brands) {
  const mentions = [];
  for (const brand of brands) {
    for (const p of PLATFORMS) mentions.push(...await searchPlatform(brand, p));
    mentions.push(...await searchTiktok(brand));
  }
  const byPlatform = {};
  for (const m of mentions) byPlatform[m.platform] = (byPlatform[m.platform]||0) + 1;
  return {date:new Date().toISOString().slice(0,10), totalMentions:mentions.length, byPlatform, topMentions:mentions.slice(0,20)};
}

const report = await dailyBrandMonitor(['scavio']);
console.log('Date: '+report.date+', Total: '+report.totalMentions);
for (const [p,c] of Object.entries(report.byPlatform)) console.log('  '+p+': '+c);

Platforms Used

Google

Web search with knowledge graph, PAA, and AI overviews

Reddit

Community, posts & threaded comments from any subreddit

YouTube

Video search with transcripts and metadata

Amazon

Product search with prices, ratings, and reviews

TikTok

Trending video, creator, and product discovery

Frequently Asked Questions

Brands get mentioned across Google search, Reddit threads, YouTube videos, TikTok posts, and Amazon reviews. Monitoring all platforms manually is impossible. Enterprise tools charge $500+/month. This workflow uses Scavio to scan all platforms daily for brand mentions and delivers a unified digest.

This workflow uses a daily at 9 am for the marketing team.. Daily.

This workflow uses the following Scavio platforms: google, reddit, youtube, amazon, tiktok. Each platform is called via the same unified API endpoint.

Yes. Scavio's free tier includes 250 credits per month with no credit card required. That is enough to test and validate this workflow before scaling it.

Cross-Platform Brand Mention Monitoring Workflow

Workflow that monitors brand mentions across Google, Reddit, YouTube, TikTok, and Amazon daily. Single API, all platforms, daily digest.