Jobs to Be Done
- Power directories and SEO sites with live search and product data
- Ship AI wrappers that ground outputs in fresh results
- Validate niche ideas quickly before investing nights and weekends
- Stay within predictable usage costs on a bootstrapper budget
- Keep the stack small so one person can maintain everything
Common Workflows
Programmatic SEO directory
A solo founder builds a directory site where each page is generated from a Scavio query (top tools for X, best videos on Y). Pages are cached and revalidated weekly. The site earns SEO traffic and affiliate revenue while Scavio handles the upstream data work.
Example: on build: scavio.google('best '+slug) + scavio.youtube(slug) -> mdx -> next
AI chatbot side project
An indie ships a niche chatbot (for example a personal finance assistant) that calls Scavio News and Search before answering so responses cite live sources. The bot differentiates from generic LLMs and the founder avoids running any crawler infrastructure.
Example: chatbot.answer(q) -> scavio.google_news(q, recency='7d') -> grounded_reply
Niche validation sprint
Before building anything, the indie hacker runs a one-evening Scavio sprint on 100 niche queries. Demand signals, existing tools, and content gaps output into a Notion scorecard used to kill or greenlight the project within a week.
Example: scavio.batch(niche_queries, ['google','amazon']) -> notion.scorecard
Pain Points Scavio Solves
- Proxy and scraping bills eat into already thin project margins
- Solo time is precious and scraper maintenance is a tax
- Free scraping libraries break every few weeks
- Hard to ship to production without a data backend that just works
Tools Indie Hackers Pair With Scavio
Next.js, Vercel, Supabase, Stripe, OpenAI SDK, Cursor. 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('best budgeting apps', country='us', num=20)"},
)
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
YouTube
Video search with transcripts and metadata
Amazon
Product search with prices, ratings, and reviews
Google News
News search with headlines and sources