Reddit Contenido Senal Workflow

import requests
import json
from pathlib import Path
from datetime import datetime

API_KEY = "your_scavio_api_key"

KEYWORDS = ["search api", "web scraping alternative", "SERP data", "google results api"]
MIN_SCORE = 5
MIN_COMMENTS = 3

def search_reddit(keyword: str) -> list[dict]:
    res = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": API_KEY},
        json={"platform": "reddit", "query": keyword},
        timeout=15,
    )
    res.raise_for_status()
    return res.json().get("organic", [])

def score_post(post: dict) -> float:
    score = post.get("score", 0)
    comments = post.get("comments", 0)
    return score + (comments * 2)  # Weight comments higher

def run():
    all_opportunities = []
    seen_titles = set()

    for keyword in KEYWORDS:
        posts = search_reddit(keyword)
        for post in posts:
            title = post.get("title", "")
            if title in seen_titles:
                continue

            post_score = post.get("score", 0)
            post_comments = post.get("comments", 0)

            if post_score >= MIN_SCORE and post_comments >= MIN_COMMENTS:
                seen_titles.add(title)
                all_opportunities.append({
                    "keyword": keyword,
                    "title": title,
                    "subreddit": post.get("subreddit", ""),
                    "score": post_score,
                    "comments": post_comments,
                    "signal_score": score_post(post),
                    "link": post.get("link", ""),
                    "content_angle": post.get("snippet", "")[:200],
                })

    # Rank by signal score
    all_opportunities.sort(key=lambda x: x["signal_score"], reverse=True)
    top_opportunities = all_opportunities[:15]

    date = datetime.utcnow().strftime("%Y-%m-%d")
    report = {
        "date": date,
        "keywords_searched": len(KEYWORDS),
        "total_posts_found": len(all_opportunities),
        "top_opportunities": top_opportunities,
    }

    Path(f"reddit_signals_{date}.json").write_text(json.dumps(report, indent=2))
    print(f"Found {len(all_opportunities)} content opportunities, top {len(top_opportunities)} saved")
    for opp in top_opportunities[:5]:
        print(f"  [{opp['subreddit']}] {opp['title'][:60]} (signal: {opp['signal_score']:.0f})")

if __name__ == "__main__":
    run()

const API_KEY = "your_scavio_api_key";

const KEYWORDS = ["search api", "web scraping alternative", "SERP data", "google results api"];
const MIN_SCORE = 5;
const MIN_COMMENTS = 3;

async function searchReddit(keyword) {
  const res = await fetch("https://api.scavio.dev/api/v1/search", {
    method: "POST",
    headers: { "x-api-key": API_KEY, "content-type": "application/json" },
    body: JSON.stringify({ platform: "reddit", query: keyword }),
  });
  if (!res.ok) throw new Error(`scavio ${res.status}`);
  return (await res.json()).organic ?? [];
}

function scorePost(post) {
  return (post.score ?? 0) + (post.comments ?? 0) * 2;
}

async function run() {
  const fs = await import("fs/promises");
  const allOpportunities = [];
  const seenTitles = new Set();

  for (const keyword of KEYWORDS) {
    const posts = await searchReddit(keyword);
    for (const post of posts) {
      const title = post.title ?? "";
      if (seenTitles.has(title)) continue;
      const postScore = post.score ?? 0;
      const postComments = post.comments ?? 0;
      if (postScore >= MIN_SCORE && postComments >= MIN_COMMENTS) {
        seenTitles.add(title);
        allOpportunities.push({
          keyword,
          title,
          subreddit: post.subreddit ?? "",
          score: postScore,
          comments: postComments,
          signalScore: scorePost(post),
          link: post.link ?? "",
          contentAngle: (post.snippet ?? "").slice(0, 200),
        });
      }
    }
  }

  allOpportunities.sort((a, b) => b.signalScore - a.signalScore);
  const topOpportunities = allOpportunities.slice(0, 15);

  const date = new Date().toISOString().slice(0, 10);
  const report = { date, keywordsSearched: KEYWORDS.length, totalPostsFound: allOpportunities.length, topOpportunities };
  await fs.writeFile(`reddit_signals_${date}.json`, JSON.stringify(report, null, 2));
  console.log(`Found ${allOpportunities.length} opportunities, top ${topOpportunities.length} saved`);
  for (const opp of topOpportunities.slice(0, 5)) {
    console.log(`  [${opp.subreddit}] ${opp.title.slice(0, 60)} (signal: ${opp.signalScore})`);
  }
}

run();