Scavio for Review Investigation Journalism

The Problem

Reporters doing investigative pieces on chains, franchises, or public services need structured review data across hundreds of locations. Manual review collection takes weeks; existing review APIs are expensive and cap at low volumes. Deadline-driven newsrooms need a pipeline that pulls thousands of reviews across an entire brand footprint in hours.

How Scavio Helps

• Thousands of Google Reviews across a chain in one pipeline run
• Cross-reference Reddit complaints for pattern corroboration
• CSV-friendly output maps directly to newsroom notebooks
• Predictable per-call pricing fits editorial budgets
• Normalized timestamps enable time-series analysis

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google Reviews for "site:google.com/maps chipotle food poisoning":

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, "tbs": ""},
)

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

Built for Investigative journalists, data-journalism teams, newsroom developers, nonprofit news outlets

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your review investigation journalism 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.