The Problem
An r/AiAutomations post: building competitor monitoring. The hard part is getting structured SERP + Reddit data reliably and filtering noise.
The Scavio Solution
Daily cron job queries Scavio for competitor keywords across Google + Reddit. LLM summarizes changes. Email digest sent before the team starts. One curated report, not real-time alerts.
Before
Manual competitor checking. Inconsistent timing. Missing Reddit threads. No historical tracking.
After
Automated daily digest with SERP position changes, new Reddit mentions, and LLM-generated analysis. One email per morning.
Who It Is For
Product managers, marketing teams, agency owners tracking client competitors, startup founders watching incumbents.
Key Benefits
- Multi-platform: Google SERP + Reddit mentions
- LLM summarizes changes to reduce noise
- Daily digest format prevents alert fatigue
- Historical tracking via log files
- Budget: ~$0.075/day for 3 competitors
Python Example
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def competitor_check(name):
serp = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': f'{name} pricing'}).json()
reddit = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'reddit', 'query': name, 'sort': 'new'}).json()
return {'serp': serp, 'reddit': reddit}JavaScript Example
// Same pattern with fetch() in Node.jsPlatforms Used
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit