Automated Review Monitoring for SaaS Products
Track SaaS reviews across Google, Reddit, YouTube, and TikTok for $5-10/month via search API. Replaces $100-500/month dedicated review monitoring tools.
Automated review monitoring for SaaS products means tracking what users say about you on Google, Reddit, TikTok, and YouTube without manually checking each platform. A search API pipeline queries your brand name across platforms daily, flags new mentions, and categorizes sentiment. This replaces $100-500/month review monitoring tools for most SaaS teams.
What to monitor
- Google search mentions (reviews, comparisons, complaints)
- Reddit discussions (subreddits where your users hang out)
- YouTube reviews and tutorials
- Google Play / App Store ratings (if applicable)
- Competitor review threads (what users say about alternatives)
Multi-platform review monitoring pipeline
import requests
from datetime import date
def monitor_reviews(brand: str) -> dict:
"""Monitor brand mentions across platforms."""
queries = [
{"query": f"{brand} review", "label": "reviews"},
{"query": f"{brand} vs", "label": "comparisons"},
{"query": f"{brand} problems", "label": "complaints"},
{"query": f"{brand} site:reddit.com", "label": "reddit"},
]
report = {"brand": brand, "date": str(date.today()), "mentions": []}
for q in queries:
resp = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "YOUR_KEY"},
json={
"query": q["query"],
"num_results": 10
}
)
data = resp.json()
for r in data.get("organic_results", []):
report["mentions"].append({
"category": q["label"],
"title": r["title"],
"url": r["url"],
"snippet": r.get("snippet", ""),
"date_found": str(date.today())
})
# YouTube check
yt_resp = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "YOUR_KEY"},
json={
"query": f"{brand} review",
"platform": "youtube",
"num_results": 5
}
)
yt_data = yt_resp.json()
for v in yt_data.get("video_results", []):
report["mentions"].append({
"category": "youtube",
"title": v.get("title", ""),
"url": v.get("url", ""),
"snippet": v.get("description", ""),
"date_found": str(date.today())
})
return report
report = monitor_reviews("YourSaaSBrand")
print(f"Found {len(report['mentions'])} mentions")
for m in report["mentions"][:5]:
print(f"[{m['category']}] {m['title']}")
Competitor review tracking
// Track competitor reviews alongside yours
async function competitorReviewTracker(brands) {
const allMentions = [];
for (const brand of brands) {
const queries = [
brand + " review 2026",
brand + " alternatives",
brand + " pricing"
];
for (const query of queries) {
const resp = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: {
"x-api-key": process.env.SCAVIO_KEY,
"Content-Type": "application/json"
},
body: JSON.stringify({ query, num_results: 5 })
});
const data = await resp.json();
for (const r of (data.organic_results || [])) {
allMentions.push({
brand,
query,
title: r.title,
url: r.url,
snippet: r.snippet || ""
});
}
}
}
return allMentions;
}
const mentions = await competitorReviewTracker([
"YourBrand", "Competitor1", "Competitor2"
]);
console.log("Total mentions:", mentions.length);
Alert on new negative mentions
Run the pipeline daily. Store results in a database. Diff against yesterday's results to find new mentions. Alert on new negative mentions (containing "problems", "issues", "broken", "worst"). Respond quickly to negative reviews before they influence purchase decisions.
Cost for daily monitoring
Coverage | Queries/day | Monthly cost
Your brand only | 5 | $0.75
+ 3 competitors | 20 | $3.00
+ YouTube + Reddit| 30 | $4.50
Full monitoring | 50 | $7.50vs dedicated tools
Brand24: $79/month. Mention: $49/month. Brandwatch: $800+/month. Custom pipeline with search API: $5-10/month for equivalent coverage across Google, Reddit, YouTube, and TikTok.