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Scavio for Cross-Platform UGC Monitoring

Monitor user-generated content mentioning your brand across TikTok, YouTube, and Reddit from one API key, returning structured JSON you can score and alert on, instead of running a separate browser-extension scraper per platform. The sweep is three call patterns on a schedule: on TikTok, hit hashtag/videos for your campaign tag and search/videos for the brand name, then pull video/comments (and comments/replies) under the top results to read sentiment. On YouTube, search returns matching videos and metadata returns the per-video like and comment counts. On Reddit, search returns the threads forming around the same campaign with their scores. Every response is JSON, so a worker can dedupe by URL, score sentiment, count mentions per platform, and write the day's totals to a store, no human exporting anything. Because all three platforms sit behind one Scavio key, you are not stitching three vendors and three auth schemes together; the same credentials and the same billing pool cover the whole sweep.

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The Problem

Brands tracking UGC usually end up with a browser-extension scraper per platform and a human exporting CSVs. Extensions break on every layout change, cannot run unattended, and produce one-off files no pipeline can read. The result is monitoring that happens when someone remembers to do it, not continuously, so a viral mention or a brand-safety problem is found days late rather than the same afternoon. The deeper issue is fragmentation: a TikTok exporter, a YouTube exporter, and a Reddit tool each have their own format, their own breakage, and their own manual step, so nobody owns the full picture. UGC monitoring only works when it is continuous, structured, and cross-platform, which is exactly the shape browser-extension scrapers cannot deliver. The fix is an API sweep that runs on a timer and returns the same JSON shape from every platform.

How Scavio Helps

  • One API key spans TikTok (search/videos, hashtag/videos, video/comments and replies), YouTube (search, metadata), and Reddit (search) instead of three separate scraper setups with three formats
  • Structured JSON from every platform that you can dedupe, score for sentiment, and count by volume, not CSV exports a human has to open and reconcile
  • Runs server-side on a schedule, so a viral mention or a brand-safety issue surfaces the same day instead of whenever someone next remembers to export
  • Flat 1-credit pricing on TikTok and YouTube calls ($0.005 each) makes a daily sweep cost predictable: a 200-call sweep is $1, versus per-result scraper pricing that climbs with every comment pulled
  • Pairs with a simple alerting step: diff today's mention volume against the trailing 7-day average and post spikes (or sentiment drops) to Slack
  • Cross-references the same campaign across platforms, so you catch a TikTok video driving a Reddit thread before it becomes a support fire

Relevant Platforms

TikTok

Trending video, creator, and product discovery

YouTube

Video search with transcripts and metadata

Reddit

Community, posts & threaded comments from any subreddit

Quick Start: Python Example

Here is a quick example searching TikTok for "hashtag: yourbrand (TikTok) + search: yourbrand review (YouTube) + yourbrand (Reddit)":

Python
import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Brand and social teams, agencies running creator campaigns, and developers building social-listening or brand-safety tools who need continuous, cross-platform mention tracking rather than manual one-off exports

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your cross-platform ugc monitoring solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.

Frequently Asked Questions

Monitor user-generated content mentioning your brand across TikTok, YouTube, and Reddit from one API key, returning structured JSON you can score and alert on, instead of running a separate browser-extension scraper per platform. The sweep is three call patterns on a schedule: on TikTok, hit hashtag/videos for your campaign tag and search/videos for the brand name, then pull video/comments (and comments/replies) under the top results to read sentiment. On YouTube, search returns matching videos and metadata returns the per-video like and comment counts. On Reddit, search returns the threads forming around the same campaign with their scores. Every response is JSON, so a worker can dedupe by URL, score sentiment, count mentions per platform, and write the day's totals to a store, no human exporting anything. Because all three platforms sit behind one Scavio key, you are not stitching three vendors and three auth schemes together; the same credentials and the same billing pool cover the whole sweep. The API returns structured JSON that you can process programmatically or feed into an AI agent for automated analysis.

For cross-platform ugc monitoring, use the tiktok, YouTube Search, reddit endpoints. Each request costs 1 credit.

Yes. Scavio handles all the infrastructure — proxies, rate limits, CAPTCHAs, and anti-bot detection. Paid plans support up to 100K+ credits/month with priority support and higher rate limits.

Absolutely. Scavio integrates with LangChain, CrewAI, LlamaIndex, AutoGen, and any framework that can make HTTP requests. Build an agent that searches, analyzes, and acts on cross-platform ugc monitoring data automatically.

Build Your Cross-Platform UGC Monitoring Solution

50 free credits on signup. No credit card required. Start building with TikTok, YouTube, Reddit data today.

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