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How to Ship an OSS Scraper in 2 Weeks (Launch Playbook)

Launch a credible OSS scraping library in 2 weeks using Scavio for cross-platform coverage. Includes Reddit, HN, and Product Hunt launch tactics.

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Dozens of OSS scraper libraries launched in 2025-2026 by wrapping Scavio as the hard-backend. This playbook compresses that launch into a 2-week plan: package skeleton, Scavio integration, docs, and a Reddit/HN/Product Hunt launch.

Prerequisites

  • Node.js 20+ or Python 3.10+
  • A Scavio API key
  • GitHub repo
  • Basic CI/CD familiarity

Walkthrough

Step 1: Day 1-2: package skeleton

npm init or poetry new, add lint/test/ci boilerplate.

Bash
npm init -y && npm install --save-dev vitest tsup
npm install
mkdir src
touch src/index.ts

Step 2: Day 3-5: Scavio adapter

Wrap the Scavio search endpoint as your primary backend.

// src/client.ts
export class Scraper {
  constructor(private apiKey: string) {}
  async search(query: string) {
    const r = await fetch('https://api.scavio.dev/api/v1/search', {
      method: 'POST',
      headers: { 'x-api-key': this.apiKey, 'Content-Type': 'application/json' },
      body: JSON.stringify({ query })
    });
    return r.json();
  }
}

Step 3: Day 6-8: docs site

MkDocs or Docusaurus with 5 examples + API reference.

Bash
npx create-docusaurus@latest docs classic
# Write: quickstart, search, reddit, amazon, youtube

Step 4: Day 9-11: examples + tests

5 runnable examples + Vitest suite.

// examples/basic.ts
import { Scraper } from '../src';
const s = new Scraper(process.env.SCAVIO_API_KEY!);
console.log(await s.search('hacker news top'));

Step 5: Day 12-14: launch

Publish to npm, post to r/programming + HN + Product Hunt.

Bash
npm publish
# Draft a Show HN post highlighting the Scavio-powered simplicity

Python Example

Python
import os, requests

class Scraper:
    def __init__(self, api_key):
        self.api_key = api_key
    def search(self, query):
        r = requests.post('https://api.scavio.dev/api/v1/search',
            headers={'x-api-key': self.api_key},
            json={'query': query})
        return r.json()

s = Scraper(os.environ['SCAVIO_API_KEY'])
print(s.search('hacker news top'))

JavaScript Example

JavaScript
export class Scraper {
  constructor(apiKey) { this.apiKey = apiKey; }
  async search(query) {
    const r = await fetch('https://api.scavio.dev/api/v1/search', {
      method: 'POST',
      headers: { 'x-api-key': this.apiKey, 'Content-Type': 'application/json' },
      body: JSON.stringify({ query })
    });
    return r.json();
  }
}

Expected Output

JSON
OSS library shipped, published, and launched on 3 channels in 14 days. Typical first-week result: 200-800 GitHub stars, 30-100 npm installs.

Related Tutorials

  • How to Build a Scraping Tool with a Local Uncensored LLM and Scavio
  • How to Benchmark Scrapers by Success Rate Across 500 Sites
  • How to Replace Firecrawl for Large-Crawl Jobs

Frequently Asked Questions

Most developers complete this tutorial in 15 to 30 minutes. You will need a Scavio API key (free tier works) and a working Python or JavaScript environment.

Node.js 20+ or Python 3.10+. A Scavio API key. GitHub repo. Basic CI/CD familiarity. A Scavio API key gives you 50 free credits on signup.

Yes. The free tier includes 50 credits on signup, which is more than enough to complete this tutorial and prototype a working solution.

Scavio has a native LangChain package (langchain-scavio), an MCP server, and a plain REST API that works with any HTTP client. This tutorial uses the raw REST API, but you can adapt to your framework of choice.

Related Resources

Use Case

OSS Scraper Launch Kit

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Best Of

Best API for OSS Launch Research in 2026

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Use Case

Open Source AI Web Access 2026

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Solution

Launch an OSS Scraper with Scavio Backend

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Glossary

AI Wrapper (2026 Definition)

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Best Of

Best Search API for Open WebUI in 2026

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Start Building

Launch a credible OSS scraping library in 2 weeks using Scavio for cross-platform coverage. Includes Reddit, HN, and Product Hunt launch tactics.

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