Depure o Firecrawl com o Ask

curl -X POST https://api.firecrawl.dev/v2/support/ask \
  -H "Authorization: Bearer fc-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "question": "my crawl returned 3 pages but I expected 50"
  }'

curl -X POST https://api.firecrawl.dev/v2/support/docs-search \
  -H "Authorization: Bearer fc-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "question": "how do I set up webhook signature verification?"
  }'

curl -X POST https://api.firecrawl.dev/v2/support/ask \
  -H "Authorization: Bearer fc-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "question": "debug failed job 0f8c9a1b-4e2d-47a1-9c3f-1b2d3e4f5a6b — crawl of https://example.com failed after 12 pages",
    "rationale": "user needs the full docs site indexed before their demo"
  }'

import requests

FIRECRAWL_API_KEY = "fc-YOUR_API_KEY"

def diagnose_firecrawl_issue(question, rationale=None):
    """Call the Firecrawl Ask API to debug an issue."""
    payload = {"question": question}
    if rationale:
        payload["rationale"] = rationale

    response = requests.post(
        "https://api.firecrawl.dev/v2/support/ask",
        headers={
            "Authorization": f"Bearer {FIRECRAWL_API_KEY}",
            "Content-Type": "application/json",
        },
        json=payload,
    )
    return response.json()


# Exemplo: depurar um scraping que retornou conteúdo vazio
result = diagnose_firecrawl_issue(
    question="scrape returned empty markdown for https://example.com",
    rationale="user needs product pricing data for competitive analysis",
)

print(result["answer"])
print(result["fixParameters"])  # ex.: {"waitFor": 5000, "actions": [...]}
print(result["confidence"])     # "high", "medium", or "low"

async function diagnoseFirecrawlIssue(question, rationale) {
  const response = await fetch(
    "https://api.firecrawl.dev/v2/support/ask",
    {
      method: "POST",
      headers: {
        Authorization: `Bearer ${process.env.FIRECRAWL_API_KEY}`,
        "Content-Type": "application/json",
      },
      body: JSON.stringify({ question, rationale }),
    }
  );
  return response.json();
}

// Exemplo: depurar um rastreamento que parou cedo demais
const result = await diagnoseFirecrawlIssue(
  "my crawl returned 3 pages but I expected 50",
  "user is on their third failed crawl attempt today"
);

console.log(result.answer);
console.log(result.fixParameters);

from firecrawl import Firecrawl

client = Firecrawl(api_key="fc-YOUR_API_KEY")

# Passo 1: Tentar o scraping
doc = client.scrape("https://example.com/pricing", formats=["markdown"])

if not doc.markdown or len(doc.markdown) < 100:
    # Passo 2: Pedir ajuda para depuração
    diagnosis = diagnose_firecrawl_issue(
        question=f"scrape returned only {len(doc.markdown or '')} chars of markdown for https://example.com/pricing",
    )

    # Passo 3: Aplicar parâmetros de correção e tentar novamente
    if diagnosis.get("fixParameters"):
        doc = client.scrape(
            "https://example.com/pricing",
            formats=["markdown"],
            **diagnosis["fixParameters"],
        )

{
  "requestId": "req_...",
  "answer": "<2-4 sentence prose diagnosis of the issue plus the recommended fix.>",
  "confidence": "high",
  "fixParameters": { "<param>": "<value>" },
  "validation": {
    "tested": true,
    "result": "success",
    "evidence": "<short summary of the validation tool call the agent ran to confirm the fix>"
  },
  "feedback": null,
  "durationMs": 18432
}

{
  "requestId": "req_...",
  "answer": "The signature is sent in the X-Firecrawl-Signature header...",
  "evidence": [
    { "pathOrUrl": "webhooks/security.mdx#L1-L52", "reason": "..." }
  ],
  "usage": { "inputTokens": 4356, "outputTokens": 688, "totalTokens": 5044 },
  "durationMs": 11252
}