Scavio for Recipe & Food Search

The Problem

Recipe data is spread across thousands of food blogs. Aggregating recipes, ingredients, and cooking instructions requires parsing inconsistent HTML or paying for recipe APIs.

How Scavio Helps

• Google search for recipe results with rich snippets
• YouTube cooking video search with transcripts
• Structured data from Knowledge Graph
• Build recipe recommendation engines

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "healthy chicken dinner recipes under 30 minutes":

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 Food apps, recipe platforms, meal planning services

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

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.