文档搜索

docs = client.search.all(
    query="Tesla earnings",
    num=10,
    categories=["news", "reports"],
    symbols=["US:TSLA"],
    start_datetime="2024-01-01",
    end_datetime="2024-12-31"
)

news = client.search.news(
    query="Apple iPhone",
    num=10,
    symbols=["US:AAPL"]
)

reports = client.search.reports(
    query="semiconductor analysis",
    num=10
)

filings = client.search.filings(
    query="10-K annual report",
    symbols=["US:AAPL"]
)

# With query - results sorted by relevance
calls = client.search.conference_calls(
    ["US:AAPL", "US:MSFT"],
    query="AI strategy",
    fiscal_year="2025",
    fiscal_quarter="Q4"
)

# Without query - results sorted by date descending
calls = client.search.conference_calls(
    ["US:AAPL", "US:MSFT"],
    fiscal_year="2025"
)

# With query - results sorted by relevance
docs = client.search.earnings_pack(
    ["US:AAPL", "US:TSLA"],
    query="revenue growth",
    fiscal_year="2025",
    fiscal_quarter="Q4"
)

# Without query - results sorted by date descending
docs = client.search.earnings_pack(
    ["US:AAPL", "US:TSLA"],
    fiscal_year="2025"
)

minutes = client.search.minutes(
    query="board meeting",
    symbols=["US:AAPL"]
)

socials = client.search.socials(
    query="Tesla stock",
    symbols=["US:TSLA"]
)

pages = client.search.webpages(
    query="AI technology",
    num=20
)

response = client.search.crawl(
    urls=["https://example.com/article"],
    text={"maxCharacters": 2000, "includeHtmlTags": False},
    summary={"query": "核心观点"}
)

{
    "doc_id": "abc123",
    "title": "Tesla Q4 2024 Earnings Call",
    "summary": "Tesla reported record deliveries...",
    "category": "transcripts",
    "published_at": 1704067200000,  # 毫秒时间戳
    "channel_name": "Tesla Inc.",
    "companies": [
        {
            "name": "Tesla",
            "stocks": [{"symbol": "US:TSLA", "market": "US", "ticker": "TSLA"}]
        }
    ],
    "url": "https://..."
}