Many regulatory monitoring agents wired to SerpAPI in 2024 are now reviewing options. This tutorial walks the migration: same daily flow, lower per-call cost, plus Reddit signal that SerpAPI does not provide.
Prerequisites
- Python 3.10+
- Existing SerpAPI agent
Walkthrough
Step 1: Identify SerpAPI calls in existing code
Usually one HTTP call per keyword.
Python
# Before:
# r = requests.get('https://serpapi.com/search', params={'q': k, 'api_key': SERPAPI_KEY})Step 2: Replace with Scavio call
Same query, different endpoint.
Python
# After:
r = requests.post('https://api.scavio.dev/api/v1/search',
headers={'x-api-key': SCAVIO_API_KEY},
json={'query': k}).json()Step 3: Map response shape
organic_results[].title/snippet/link is the same; minor field renames.
Python
# SerpAPI: r['organic_results'][i]['title']
# Scavio: r['organic_results'][i]['title']
# Same field names — drop-in.Step 4: Add Reddit surface (new capability)
Reddit catches regulatory drafts and analyst threads.
Python
rdt = requests.post('https://api.scavio.dev/api/v1/reddit/search',
headers={'x-api-key': SCAVIO_API_KEY}, json={'query': k}).json()Step 5: Run cost-comparison week
Track $/call to confirm savings.
Text
# Daily 10 keywords on SerpAPI ($50/mo for 5K) ≈ $0.01/call.
# Same on Scavio Project ≈ $0.0043/call. ~57% reduction.Python Example
Python
# Migration is mostly a 5-line diff per agent.JavaScript Example
JavaScript
// Same shape in TS.Expected Output
JSON
Same regulatory updates each morning, plus Reddit thread surfacing for early signals. Per-call cost drops 50-60%.