Scavio for Data Journalism

The Data Journalism Data Challenge

Data journalism teams need to collect SERPs, Google Reviews, Reddit threads, and news feeds at scale, often against deadlines that make vendor onboarding impossible. Existing enrichment and scraping vendors are priced for ad-tech budgets, not newsroom budgets. Teams need a reproducible pipeline they can spin up in a notebook, run against a chain or a portfolio, and cite in print without legal risk.

Built for These Teams

• Investigative reporters at national outlets running chain-wide reviews
• Data desks at regional newsrooms chasing local stories
• Freelance journalists with Substack distribution
• Nonprofit newsrooms funded by grants and reader support

Key Workflows

Why Data Journalism Teams Choose Scavio

• Deadline-friendly onboarding; live pipeline in an afternoon
• Newsroom-priced per-call billing replaces enterprise seat licenses
• Reproducible collection methods withstand records request scrutiny
• CSV and DataFrame-friendly output
• One API replaces five scraping vendors per investigation

Quick Start Example

Here is a Python example running a data journalism query:

import requests

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={"x-api-key": "your_scavio_api_key"},
    json={
        "platform": "google",
        "query": "chipotle food poisoning reviews 2026",
    },
)

data = response.json()
# Process results for your data journalism workflow
for item in data.get("organic_results", data.get("products", []))[:10]:
    print(item)

Platforms You Will Use

Scavio is designed for teams that need reliable, structured data at scale. Start with the free tier, build your workflow, then scale when you are ready. No lock-in. No complicated setup. Read the quickstart to get your API key and first response in under two minutes.