Jobs to Be Done
- Track competitor paid copy, extensions, and shopping ads
- Audit search partner placements across countries and devices
- Mine query variants for fresh ad group ideas
- Benchmark share of paid voice and CPC pressure signals
- Pipe insights into Google Ads, Search Ads 360, and bid tools
Common Workflows
Creative harvester
Every two hours Scavio pulls ads for 5K commercial keywords across target geos. Copy, extensions, and destination URLs go into a searchable library. Media buyers filter by competitor, offer, or angle to inspire new creative without manual incognito searches.
Example: scavio.google(commercial_kws, include_ads=True) -> ad_library.upsert
Share of paid voice
A daily dashboard shows paid position and impression estimates for the client and top five rivals across 1K core keywords. Trend lines flag when a rival ramps bids or pulls back, letting the buyer react inside the same budget cycle rather than after the quarter.
Example: scavio.google(core_kws, include_ads=True) -> sov.paid.dashboard
Shopping listing surveillance
Scavio Shopping returns listings, prices, promotions, and seller ratings for tracked product queries. An anomaly detector pings the team when a rival drops price, adds a promo badge, or wins a sponsored slot, so bid strategy adapts the same day rather than next month.
Example: scavio.google_shopping(product_kws) -> anomaly -> alert
Pain Points Scavio Solves
- Ad preview tools are slow and limited to a handful of geos
- Competitor creative changes hourly in high-stakes auctions
- Shopping data is fragmented across channels and feeds
- Bid tools need better inputs than platform-native reports provide
Tools Media Buyers Pair With Scavio
Google Ads, Search Ads 360, Skai, Optmyzr, Looker, Supermetrics. Scavio returns structured JSON that fits into any of these tools.
Quick Start
import requests
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key"},
json={"query": "scavio.google('cheap flights to tokyo', include_ads=True, country='us')"},
)
data = response.json()
# Analyze results for your workflow
for result in data.get("organic_results", [])[:10]:
print(result["title"], "-", result["link"])Platforms You Will Use
Web search with knowledge graph, PAA, and AI overviews
Google Shopping
Shopping results with multi-retailer pricing
YouTube
Video search with transcripts and metadata
Amazon
Product search with prices, ratings, and reviews