Scavio for Marketing Agent Research API

The Problem

Marketing teams in 2026 are piloting AI agents for campaign monitoring, ad copy generation, and brand visibility but keep hitting the same bottleneck: the agent is only as good as its data source. Flat web search summaries produce mediocre output; full scrapers are overkill. A structured multi-platform API is the missing middle layer.

How Scavio Helps

• Google SERP structure — AI overviews, PAA, knowledge graphs
• YouTube transcripts for creator and sponsor context
• Reddit brand mention monitoring with full comment trees
• LangChain, MCP, and n8n ready out of the box
• Predictable credits, no per-enrichment surprises

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "competitor ad copy [brand] google shopping":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Marketing engineers, growth teams, PPC analysts, AI consultants building marketing agents

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your marketing agent research api solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.