Overview
This workflow refreshes competitor pricing data every week by searching Google for each competitor's pricing page and extracting current plan details from search snippets and AI Overviews. The output updates comparison pages, sales collateral, and internal pricing sheets. Each update includes a 'last verified' timestamp for credibility. Flags are raised when pricing appears to have changed significantly.
Trigger
Cron schedule (every Monday at 7:00 AM UTC)
Schedule
Runs every Monday at 7:00 AM UTC
Workflow Steps
Load competitor pricing targets
Read the list of competitors and their associated pricing search queries.
Search for current pricing
Query Scavio Google for each competitor's pricing page to get current plan and price information.
Extract pricing signals
Parse search snippets and AI Overviews for pricing figures, plan names, and feature mentions.
Compare against stored pricing
Check extracted pricing against previously stored values and flag significant changes.
Update pricing data store
Write updated pricing data with 'last verified' timestamps and change flags.
Python Implementation
import requests
import json
from datetime import datetime
from pathlib import Path
API_KEY = "your_scavio_api_key"
COMPETITORS = [
{"name": "SerpAPI", "query": "SerpAPI pricing plans 2026"},
{"name": "Tavily", "query": "Tavily API pricing 2026"},
{"name": "Brave Search API", "query": "Brave Search API pricing 2026"},
{"name": "Exa", "query": "Exa search API pricing 2026"},
{"name": "DataForSEO", "query": "DataForSEO pricing 2026"},
]
def fetch_pricing(competitor: dict) -> dict:
res = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": API_KEY},
json={"platform": "google", "query": competitor["query"], "ai_overview": True},
timeout=15,
)
res.raise_for_status()
data = res.json()
snippets = [r.get("snippet", "") for r in data.get("organic", [])[:5]]
return {
"competitor": competitor["name"],
"query": competitor["query"],
"ai_overview": data.get("ai_overview", {}).get("text", "")[:500],
"pricing_snippets": snippets,
"verified_at": datetime.utcnow().isoformat(),
}
def run():
date = datetime.utcnow().strftime("%Y-%m-%d")
results = []
for comp in COMPETITORS:
pricing = fetch_pricing(comp)
results.append(pricing)
print(f" {pricing['competitor']}: {len(pricing['pricing_snippets'])} snippets found")
output = {"date": date, "competitors_checked": len(COMPETITORS), "results": results}
Path(f"pricing_refresh_{date}.json").write_text(json.dumps(output, indent=2))
print(f"Pricing refresh {date}: {len(COMPETITORS)} competitors updated")
if __name__ == "__main__":
run()JavaScript Implementation
const API_KEY = "your_scavio_api_key";
const COMPETITORS = [
{ name: "SerpAPI", query: "SerpAPI pricing 2026" },
{ name: "Tavily", query: "Tavily API pricing 2026" },
{ name: "DataForSEO", query: "DataForSEO pricing 2026" },
];
async function fetchPricing(comp) {
const res = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: { "x-api-key": API_KEY, "content-type": "application/json" },
body: JSON.stringify({ platform: "google", query: comp.query, ai_overview: true }),
});
const data = await res.json();
return {
competitor: comp.name,
snippets: (data.organic ?? []).slice(0, 5).map((r) => r.snippet ?? ""),
aiOverview: (data.ai_overview?.text ?? "").slice(0, 500),
};
}
for (const comp of COMPETITORS) {
const r = await fetchPricing(comp);
console.log(`${r.competitor}: ${r.snippets.length} pricing snippets`);
}Platforms Used
Web search with knowledge graph, PAA, and AI overviews