Investigacion semanal de competidores con datos publicos (sin suscripcion a SimilarWeb)

import os
import json
import requests
from datetime import date

API_KEY = os.environ["SCAVIO_API_KEY"]
BASE = "https://api.scavio.dev/api/v1"
HEADERS = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

COMPETITORS = ["acme.com", "rivalcorp.com"]
KEYWORDS = ["project management software", "team task tracker"]


def google_rank(domain, keyword):
    r = requests.post(f"{BASE}/google", headers=HEADERS,
                      json={"query": keyword, "light_request": False})
    r.raise_for_status()
    organic = r.json().get("organic", [])
    for i, item in enumerate(organic, start=1):
        if domain in item.get("link", ""):
            return i
    return None  # not found in returned results; leave blank, do not guess


def reddit_mentions(name):
    r = requests.post(f"{BASE}/reddit/search", headers=HEADERS, json={"query": name})
    r.raise_for_status()
    posts = r.json().get("posts", [])
    return len(posts), sum(p.get("score", 0) for p in posts)


def youtube_count(name):
    r = requests.post(f"{BASE}/youtube/search", headers=HEADERS, json={"search": name})
    r.raise_for_status()
    return len(r.json().get("videos", []))


def build_report():
    rows = []
    for c in COMPETITORS:
        best_rank = None
        for kw in KEYWORDS:
            rank = google_rank(c, kw)
            if rank is not None and (best_rank is None or rank < best_rank):
                best_rank = rank
        mentions, score_total = reddit_mentions(c)
        videos = youtube_count(c)
        rows.append({
            "competitor": c,
            "best_serp_rank": best_rank,        # None means leave blank
            "reddit_mentions": mentions,
            "reddit_score_total": score_total,
            "youtube_videos": videos,
        })
    return rows


def diff(today_rows, last_path="last_week.json"):
    try:
        with open(last_path) as f:
            last = {r["competitor"]: r for r in json.load(f)}
    except FileNotFoundError:
        last = {}
    for row in today_rows:
        prev = last.get(row["competitor"])
        if prev and prev["best_serp_rank"] != row["best_serp_rank"]:
            print(f"ALERT {row['competitor']} rank {prev['best_serp_rank']} -> {row['best_serp_rank']}")
        if prev and row["reddit_score_total"] - prev["reddit_score_total"] >= 200:
            print(f"ALERT {row['competitor']} reddit score surged")


if __name__ == "__main__":
    rows = build_report()
    print(f"Competitor report {date.today().isoformat()}")
    for r in rows:
        rank = r["best_serp_rank"] if r["best_serp_rank"] is not None else "-"
        print(f"{r['competitor']:<16} rank={rank}  reddit={r['reddit_mentions']} (score {r['reddit_score_total']})  yt={r['youtube_videos']}")
    diff(rows)
    with open("last_week.json", "w") as f:
        json.dump(rows, f, indent=2)

import fs from "node:fs";

const API_KEY = process.env.SCAVIO_API_KEY;
const BASE = "https://api.scavio.dev/api/v1";
const HEADERS = {
  Authorization: `Bearer ${API_KEY}`,
  "Content-Type": "application/json",
};

const COMPETITORS = ["acme.com", "rivalcorp.com"];
const KEYWORDS = ["project management software", "team task tracker"];

async function post(path, body) {
  const res = await fetch(`${BASE}${path}`, {
    method: "POST",
    headers: HEADERS,
    body: JSON.stringify(body),
  });
  if (!res.ok) throw new Error(`${path} ${res.status}`);
  return res.json();
}

async function googleRank(domain, keyword) {
  const data = await post("/google", { query: keyword, light_request: false });
  const organic = data.organic || [];
  for (let i = 0; i < organic.length; i++) {
    if ((organic[i].link || "").includes(domain)) return i + 1;
  }
  return null; // not found; leave blank, do not guess
}

async function redditMentions(name) {
  const data = await post("/reddit/search", { query: name });
  const posts = data.posts || [];
  const score = posts.reduce((s, p) => s + (p.score || 0), 0);
  return { mentions: posts.length, score };
}

async function youtubeCount(name) {
  const data = await post("/youtube/search", { search: name });
  return (data.videos || []).length;
}

async function buildReport() {
  const rows = [];
  for (const c of COMPETITORS) {
    let bestRank = null;
    for (const kw of KEYWORDS) {
      const rank = await googleRank(c, kw);
      if (rank !== null && (bestRank === null || rank < bestRank)) bestRank = rank;
    }
    const { mentions, score } = await redditMentions(c);
    const videos = await youtubeCount(c);
    rows.push({
      competitor: c,
      best_serp_rank: bestRank, // null means leave blank
      reddit_mentions: mentions,
      reddit_score_total: score,
      youtube_videos: videos,
    });
  }
  return rows;
}

function diff(today, lastPath = "last_week.json") {
  let last = {};
  try {
    for (const r of JSON.parse(fs.readFileSync(lastPath, "utf8"))) last[r.competitor] = r;
  } catch {}
  for (const row of today) {
    const prev = last[row.competitor];
    if (prev && prev.best_serp_rank !== row.best_serp_rank) {
      console.log(`ALERT ${row.competitor} rank ${prev.best_serp_rank} -> ${row.best_serp_rank}`);
    }
    if (prev && row.reddit_score_total - prev.reddit_score_total >= 200) {
      console.log(`ALERT ${row.competitor} reddit score surged`);
    }
  }
}

const rows = await buildReport();
console.log(`Competitor report ${new Date().toISOString().slice(0, 10)}`);
for (const r of rows) {
  const rank = r.best_serp_rank ?? "-";
  console.log(`${r.competitor.padEnd(16)} rank=${rank}  reddit=${r.reddit_mentions} (score ${r.reddit_score_total})  yt=${r.youtube_videos}`);
}
diff(rows);
fs.writeFileSync("last_week.json", JSON.stringify(rows, null, 2));