Top Pages by Traffic → Content Replication

import os, requests, time

AH = os.environ["AHREFS_API_TOKEN"]
MV = os.environ["MAVERA_API_KEY"]
MB, DOMAIN = "https://app.mavera.io/api/v1", "yourdomain.com"
AH_H = {"Authorization": f"Bearer {AH}", "Accept": "application/json"}
MH = {"Authorization": f"Bearer {MV}", "Content-Type": "application/json"}

resp = requests.get("https://api.ahrefs.com/v3/site-explorer/top-pages", headers=AH_H, params={
    "target": DOMAIN, "mode": "subdomains", "limit": 50,
    "order_by": "organic_traffic:desc",
    "select": "url,organic_traffic,keywords_top3,keywords_top10",
})
resp.raise_for_status()
pages = resp.json().get("pages", [])

top_block = "\n".join(
    f"- {p['url']} | traffic: {p['organic_traffic']} | top3: {p.get('keywords_top3', 0)}"
    for p in pages[:25])
total_traffic = sum(p["organic_traffic"] for p in pages)

analysis = requests.post(f"{MB}/mave/chat", headers=MH, json={
    "message": f"Analyze top pages for {DOMAIN}.\nTraffic: {total_traffic}\n"
               f"TOP PAGES:\n{top_block}\n\nIdentify: 1) Structural patterns "
               f"2) Content themes 3) Keyword strategy 4) Gaps 5) 5 new concepts",
}).json()
print("=== Pattern Analysis ===")
print(analysis.get("content", "")[:1200])

for i in range(3):
    gen = requests.post(f"{MB}/generations", headers=MH, json={
        "prompt": f"SEO brief #{i+1} for {DOMAIN}.\nAnalysis:\n"
                  f"{analysis.get('content', '')[:500]}\n\nGenerate: 1) SEO title "
                  f"2) Meta (155 chars) 3) Primary + 3 secondary KWs "
                  f"4) H2/H3 outline 5) Word count 6) Internal links 7) CTA",
    }).json()
    print(f"\n=== Brief #{i+1} ===")
    print(gen.get("output", gen.get("content", ""))[:500])
    time.sleep(1)

const AH = process.env.AHREFS_API_TOKEN, MV = process.env.MAVERA_API_KEY;
const MB = "https://app.mavera.io/api/v1", DOMAIN = "yourdomain.com";
const AH_H = { Authorization: `Bearer ${AH}`, Accept: "application/json" };
const MH = { Authorization: `Bearer ${MV}`, "Content-Type": "application/json" };

const params = new URLSearchParams({
  target: DOMAIN, mode: "subdomains", limit: "50",
  order_by: "organic_traffic:desc",
  select: "url,organic_traffic,keywords_top3,keywords_top10",
});
const resp = await fetch(
  `https://api.ahrefs.com/v3/site-explorer/top-pages?${params}`, { headers: AH_H });
const pages = (await resp.json()).pages || [];

const block = pages.slice(0, 25).map((p) =>
  `- ${p.url} | traffic: ${p.organic_traffic} | top3: ${p.keywords_top3 ?? 0}`
).join("\n");
const totalTraffic = pages.reduce((s, p) => s + p.organic_traffic, 0);

const analysis = await fetch(`${MB}/mave/chat`, { method: "POST", headers: MH,
  body: JSON.stringify({
    message: `Analyze top pages for ${DOMAIN}.\nTraffic: ${totalTraffic}\n`
      + `PAGES:\n${block}\n\n1) Patterns 2) Themes 3) Gaps 4) 5 new concepts`,
  }),
}).then((r) => r.json());
console.log("=== Pattern Analysis ===");
console.log((analysis.content || "").slice(0, 1200));

for (let i = 0; i < 3; i++) {
  const gen = await fetch(`${MB}/generations`, { method: "POST", headers: MH,
    body: JSON.stringify({
      prompt: `Brief #${i + 1} for ${DOMAIN}.\nAnalysis:\n`
        + `${(analysis.content || "").slice(0, 500)}\n\n`
        + `1) Title 2) Meta 3) Keywords 4) Outline 5) Word count 6) Links 7) CTA`,
    }),
  }).then((r) => r.json());
  console.log(`\n=== Brief #${i + 1} ===`);
  console.log((gen.output || gen.content || "").slice(0, 500));
  await new Promise((r) => setTimeout(r, 1000));
}