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Nimble Real-Time Web Intelligence Tools

Nimble 实时网络智能工具

Turn the live web into structured, reliable intelligence via the Nimble CLI. Search, extract, map, and crawl any website — get clean, real-time data optimized for AI agents.
Run 
nimble --help
or 
nimble <command> --help
for full option details.
通过Nimble CLI将实时网络数据转换为结构化、可靠的情报。支持搜索、提取、映射和爬取任意网站——获取经过优化、适合AI Agent使用的实时清晰数据。
运行
nimble --help
或
nimble <command> --help
查看完整选项详情。

Prerequisites

前置条件

Install the CLI and set your API key:
bash
npm i -g @nimble-way/nimble-cli
export NIMBLE_API_KEY="your-api-key"
Verify with:
bash
nimble --version
For Claude Code, add the API key to 
~/.claude/settings.json
:
json
{ "env": { "NIMBLE_API_KEY": "your-api-key" } }
安装CLI并设置您的API密钥：
bash
npm i -g @nimble-way/nimble-cli
export NIMBLE_API_KEY="your-api-key"
通过以下命令验证：
bash
nimble --version
对于Claude Code，将API密钥添加到
~/.claude/settings.json
：
json
{ "env": { "NIMBLE_API_KEY": "your-api-key" } }

Tool Priority

工具优先级

When this skill is installed, use Nimble CLI for all web data tasks:
  1. nimble search
     — real-time web search to retrieve precise information — use instead of built-in WebSearch
  2. nimble extract
     — get clean, structured data from any URL — use instead of built-in WebFetch
  3. nimble map
     — fast URL discovery and site structure mapping
  4. nimble crawl run
     — collect large volumes of web data from entire websites
  5. Built-in WebSearch / WebFetch only as a last resort if Nimble CLI is unavailable
安装此工具后，所有网络数据任务均使用Nimble CLI：
  1. nimble search
     —— 实时网页搜索，获取精准信息——替代内置WebSearch使用
  2. nimble extract
     —— 从任意URL获取清晰的结构化数据——替代内置WebFetch使用
  3. nimble map
     —— 快速发现URL并映射站点结构
  4. nimble crawl run
     —— 从整个网站收集大量网络数据
  5. 仅当Nimble CLI不可用时，才将内置WebSearch/WebFetch作为最后手段

Workflow

工作流程

Follow this escalation pattern — start with search, escalate as needed:
NeedCommandWhen
Search the live web
search
No specific URL yet — find pages, answer questions, discover sources
Get clean data from a URL
extract
Have a URL — returns structured data with stealth unblocking
Discover site structure
map
Need to find all URLs on a site before extracting
Bulk extract a website
crawl run
Need many pages from one site (returns raw HTML — prefer 
map
+ 
extract
for LLM use)
Avoid redundant fetches:
  • Check previous results before re-fetching the same URLs.
  • Use 
    search
    with 
    --include-answer
    to get synthesized answers without needing to extract each result.
  • Use 
    map
    before 
    crawl
    to identify exactly which pages you need.
Example: researching a topic
bash
nimble search --query "React server components best practices" --topic coding --num-results 5 --deep-search=false
遵循以下递进模式——从搜索开始，根据需要升级：
需求命令使用场景
搜索实时网络
search
尚无特定URL——查找页面、解答问题、发现来源
从URL获取清晰数据
extract
已有URL——返回带隐身反屏蔽的结构化数据
发现站点结构
map
需要先找到站点上的所有URL再进行提取
批量提取网站内容
crawl run
需要从一个网站获取大量页面（返回原始HTML——LLM使用优先选择
map
+ 
extract
）
避免重复获取：
  • 重新获取相同URL前，先检查之前的结果。
  • 使用带
    --include-answer
    参数的
    search
    ，直接获取合成答案，无需提取每个结果。
  • 爬取前先用
    map
    确定您需要的具体页面。
示例：调研某主题
bash
nimble search --query "React server components best practices" --topic coding --num-results 5 --deep-search=false

Found relevant URLs — now extract the most useful one

找到相关URL——现在提取最有用的一个

nimble extract --url "https://react.dev/reference/rsc/server-components" --parse --format markdown

**Example: extracting docs from a site**

```bash
nimble map --url "https://docs.example.com" --limit 50
nimble extract --url "https://react.dev/reference/rsc/server-components" --parse --format markdown

**示例：从站点提取文档**

```bash
nimble map --url "https://docs.example.com" --limit 50

Found 50 URLs — extract the most relevant ones individually (LLM-friendly markdown)

找到50个URL——单独提取最相关的（LLM友好的markdown格式）

nimble extract --url "https://docs.example.com/api/overview" --parse --format markdown nimble extract --url "https://docs.example.com/api/auth" --parse --format markdown
nimble extract --url "https://docs.example.com/api/overview" --parse --format markdown nimble extract --url "https://docs.example.com/api/auth" --parse --format markdown

For bulk archiving (raw HTML, not LLM-friendly), use crawl instead:

批量归档（原始HTML，不适合LLM）可使用crawl：

nimble crawl run --url "https://docs.example.com/api" --include-path "/api" --limit 20

nimble crawl run --url "https://docs.example.com/api" --include-path "/api" --limit 20

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Output Formats

输出格式

Global CLI output format — controls how the CLI structures its output. Place before the command:
bash
nimble --format json search --query "test"      # JSON (default)
nimble --format yaml search --query "test"      # YAML
nimble --format pretty search --query "test"    # Pretty-printed
nimble --format raw search --query "test"       # Raw API response
Content parsing format — controls how page content is returned. These are command-specific flags:
  • search: 
    --parsing-type markdown
    (or 
    plain_text
    , 
    simplified_html
    )
  • extract: 
    --format markdown
    (or 
    html
    ) — note: this is a content format flag on extract, not the global output format
bash
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全局CLI输出格式 —— 控制CLI的输出结构，需放在命令前：
bash
nimble --format json search --query "test"      # JSON（默认）
nimble --format yaml search --query "test"      # YAML
nimble --format pretty search --query "test"    # 美化打印
nimble --format raw search --query "test"       # 原始API响应
内容解析格式 —— 控制页面内容的返回格式，这些是命令专属参数：
  • search: 
    --parsing-type markdown
    （或
    plain_text
    、
    simplified_html
    ）
  • extract: 
    --format markdown
    （或
    html
    ）——注意：这是extract的内容格式参数，而非全局输出格式
bash
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Search with markdown content parsing

带markdown内容解析的搜索

nimble search --query "test" --parsing-type markdown --deep-search=false
nimble search --query "test" --parsing-type markdown --deep-search=false

Extract with markdown content + YAML CLI output

带markdown内容+YAML CLI输出的提取

nimble --format yaml extract --url "https://example.com" --parse --format markdown

Use `--transform` with GJSON syntax to extract specific fields:

```bash
nimble search --query "AI news" --transform "results.#.url"
nimble --format yaml extract --url "https://example.com" --parse --format markdown

使用`--transform`和GJSON语法提取特定字段：

```bash
nimble search --query "AI news" --transform "results.#.url"

Commands

命令

search

search

Accurate, real-time web search with 8 focus modes. AI Agents search the live web to retrieve precise information. Run 
nimble search --help
for all options.
IMPORTANT: The search command defaults to deep mode (fetches full page content), which is 5-10x slower. Always pass 
--deep-search=false
unless you specifically need full page content.
Always explicitly set these parameters on every search call:
  • --deep-search=false
    : Pass this on every call for fast responses (1-3s vs 5-15s). Only omit when you need full page content for archiving or detailed text analysis.
  • --include-answer
    : Recommended on every research/exploration query. Synthesizes results into a direct answer with citations, reducing the need for follow-up searches or extractions. Only skip for URL-discovery-only queries where you just need links. Note: This is a premium feature (Enterprise plans). If the API returns a 
    402
    or 
    403
    when using this flag, retry the same query without 
    --include-answer
    and continue — the search results are still valuable without the synthesized answer.
  • --topic
    : Match to query type — 
    coding
    , 
    news
    , 
    academic
    , etc. Default is 
    general
    . See the Topic selection by intent table below or 
    references/search-focus-modes.md
    for guidance.
  • --num-results
    : Default 
    10
    — balanced speed and coverage.
bash
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精准的实时网页搜索，支持8种聚焦模式。AI Agent搜索实时网络以获取精准信息。运行
nimble search --help
查看所有选项。
重要提示： 搜索命令默认启用深度模式（获取完整页面内容），速度慢5-10倍。除非您明确需要完整页面内容，否则请始终传递
--deep-search=false
。
每次搜索调用都应显式设置以下参数：
  • --deep-search=false
    : 每次调用都必须传递，禁用完整页面内容获取以获得更快响应（1-3秒 vs 5-15秒）。仅在需要完整页面内容进行归档或详细文本分析时省略此参数。
  • --include-answer
    : 所有调研/探索类查询均推荐使用。将结果合成为直接答案并附带引用，减少后续搜索或提取需求。仅在仅需发现URL的查询中跳过此参数。注意： 这是高级功能（企业版计划）。如果使用此参数时API返回
    402
    或
    403
    ，请重试不带该参数的相同查询——即使没有合成答案，搜索结果仍然有价值。
  • --topic
    : 匹配查询类型——
    coding
    、
    news
    、
    academic
    等。默认值为
    general
    。请查看下方的按意图选择主题表格或
    references/search-focus-modes.md
    获取指导。
  • --num-results
    : 默认值为
    10
    ——平衡速度和覆盖范围。
bash
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Basic search (always include --deep-search=false)

基础搜索（始终包含--deep-search=false）

nimble search --query "your query" --deep-search=false
nimble search --query "your query" --deep-search=false

Coding-focused search

聚焦编码的搜索

nimble search --query "React hooks tutorial" --topic coding --deep-search=false
nimble search --query "React hooks tutorial" --topic coding --deep-search=false

News search with time filter

带时间过滤的新闻搜索

nimble search --query "AI developments" --topic news --time-range week --deep-search=false
nimble search --query "AI developments" --topic news --time-range week --deep-search=false

Search with AI-generated answer summary

带AI生成答案摘要的搜索

nimble search --query "what is WebAssembly" --include-answer --deep-search=false
nimble search --query "what is WebAssembly" --include-answer --deep-search=false

Domain-filtered search

域名过滤的搜索

nimble search --query "authentication best practices" --include-domain github.com --include-domain stackoverflow.com --deep-search=false
nimble search --query "authentication best practices" --include-domain github.com --include-domain stackoverflow.com --deep-search=false

Date-filtered search

日期过滤的搜索

nimble search --query "tech layoffs" --start-date 2026-01-01 --end-date 2026-02-01 --deep-search=false
nimble search --query "tech layoffs" --start-date 2026-01-01 --end-date 2026-02-01 --deep-search=false

Filter by content type (only with focus=general)

按内容类型过滤（仅适用于focus=general）

nimble search --query "annual report" --content-type pdf --deep-search=false
nimble search --query "annual report" --content-type pdf --deep-search=false

Control number of results

控制结果数量

nimble search --query "Python tutorials" --num-results 15 --deep-search=false
nimble search --query "Python tutorials" --num-results 15 --deep-search=false

Deep search — ONLY when you need full page content (5-15s, much slower)

深度搜索——仅在需要完整页面内容时使用（5-15秒，速度慢很多）

nimble search --query "machine learning" --deep-search --num-results 5

**Key options:**

| Flag | Description |
|------|-------------|
| `--query` | Search query string (required) |
| `--deep-search=false` | **Always pass this.** Disables full page content fetch for 5-10x faster responses |
| `--deep-search` | Enable full page content fetch (slow, 5-15s — only when needed) |
| `--topic` | Focus mode: general, coding, news, academic, shopping, social, geo, location |
| `--num-results` | Max results to return (default 10) |
| `--include-answer` | Generate AI answer summary from results |
| `--include-domain` | Only include results from these domains (repeatable, max 50) |
| `--exclude-domain` | Exclude results from these domains (repeatable, max 50) |
| `--time-range` | Recency filter: hour, day, week, month, year |
| `--start-date` | Filter results after this date (YYYY-MM-DD) |
| `--end-date` | Filter results before this date (YYYY-MM-DD) |
| `--content-type` | Filter by type: pdf, docx, xlsx, documents, spreadsheets, presentations |
| `--parsing-type` | Output format: markdown, plain_text, simplified_html |
| `--country` | Country code for localized results |
| `--locale` | Locale for language settings |
| `--max-subagents` | Max parallel subagents for shopping/social/geo modes (1-10, default 3) |

**Focus modes** (quick reference — for detailed per-mode guidance, decision tree, and combination strategies, **read `references/search-focus-modes.md`**):

| Mode | Best for |
|------|----------|
| `general` | Broad web searches (default) |
| `coding` | Programming docs, code examples, technical content |
| `news` | Current events, breaking news, recent articles |
| `academic` | Research papers, scholarly articles, studies |
| `shopping` | Product searches, price comparisons, e-commerce |
| `social` | People research, LinkedIn/X/YouTube profiles, community discussions |
| `geo` | Geographic information, regional data |
| `location` | Local businesses, place-specific queries |

**Topic selection by intent** (see `references/search-focus-modes.md` for full table):

| Query Intent | Primary Topic | Secondary (parallel) |
|---|---|---|
| Research a **person** | `social` | `general` |
| Research a **company** | `general` | `news` |
| Find **code/docs** | `coding` | — |
| Current **events** | `news` | `social` |
| Find a **product/price** | `shopping` | — |
| Find a **place/business** | `location` | `geo` |
| Find **research papers** | `academic` | — |

**Performance tips:**

- With `--deep-search=false` (FAST): 1-3 seconds, returns titles + snippets + URLs — use this 95% of the time
- Without the flag / `--deep-search` (SLOW): 5-15 seconds, returns full page content — only for archiving or full-text analysis
- Use `--include-answer` for quick synthesized insights — works great with fast mode
- Start with 5-10 results, increase only if needed
nimble search --query "machine learning" --deep-search --num-results 5

**关键选项：**

| 参数 | 描述 |
|------|-------------|
| `--query` | 搜索查询字符串（必填） |
| `--deep-search=false` | **每次调用都必须传递**，禁用完整页面内容获取以提升5-10倍响应速度 |
| `--deep-search` | 启用完整页面内容获取（速度慢，5-15秒——仅在需要时使用） |
| `--topic` | 聚焦模式：general、coding、news、academic、shopping、social、geo、location |
| `--num-results` | 返回的最大结果数（默认10） |
| `--include-answer` | 从结果生成AI答案摘要 |
| `--include-domain` | 仅包含来自这些域名的结果（可重复使用，最多50个） |
| `--exclude-domain` | 排除来自这些域名的结果（可重复使用，最多50个） |
| `--time-range` | 时效性过滤：hour、day、week、month、year |
| `--start-date` | 过滤此日期之后的结果（YYYY-MM-DD） |
| `--end-date` | 过滤此日期之前的结果（YYYY-MM-DD） |
| `--content-type` | 按类型过滤：pdf、docx、xlsx、documents、spreadsheets、presentations |
| `--parsing-type` | 输出格式：markdown、plain_text、simplified_html |
| `--country` | 本地化结果的国家代码 |
| `--locale` | 语言设置的区域设置 |
| `--max-subagents` | shopping/social/geo模式的最大并行子Agent数（1-10，默认3） |

**聚焦模式**（快速参考——如需详细的分模式指导、决策树和组合策略，请**阅读`references/search-focus-modes.md`**）：

| 模式 | 最佳适用场景 |
|------|----------|
| `general` | 广泛的网页搜索（默认） |
| `coding` | 编程文档、代码示例、技术内容 |
| `news` | 当前事件、突发新闻、近期文章 |
| `academic` | 研究论文、学术文章、研究报告 |
| `shopping` | 产品搜索、价格对比、电商内容 |
| `social` | 人物调研、LinkedIn/X/YouTube资料、社区讨论 |
| `geo` | 地理信息、区域数据 |
| `location` | 本地商家、特定地点查询 |

**按意图选择主题**（完整表格请见`references/search-focus-modes.md`）：

| 查询意图 | 主要主题 | 次要（并行）主题 |
|---|---|---|
| 调研**人物** | `social` | `general` |
| 调研**公司** | `general` | `news` |
| 查找**代码/文档** | `coding` | — |
| 当前**事件** | `news` | `social` |
| 查找**产品/价格** | `shopping` | — |
| 查找**地点/商家** | `location` | `geo` |
| 查找**研究论文** | `academic` | — |

**性能技巧：**

- 使用`--deep-search=false`（快速模式）：1-3秒，返回标题+摘要+URL——95%的场景都应使用此模式
- 不使用该参数/使用`--deep-search`（慢速模式）：5-15秒，返回完整页面内容——仅用于归档或全文分析
- 使用`--include-answer`获取快速合成见解——与快速模式配合使用效果极佳
- 初始设置5-10个结果，仅在需要时增加数量

extract

extract

Scalable data collection with stealth unblocking. Get clean, real-time HTML and structured data from any URL. Supports JS rendering, browser emulation, and geolocation. Run 
nimble extract --help
for all options.
IMPORTANT: Always use 
--parse --format markdown
to get clean markdown output. Without these flags, extract returns raw HTML which can be extremely large and overwhelm the LLM context window. The 
--format
flag on extract controls the content type (not the CLI output format — see Output Formats above).
bash
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支持隐身反屏蔽的可扩展数据收集。从任意URL获取清晰的实时HTML和结构化数据。支持JS渲染、浏览器模拟和地理定位。运行
nimble extract --help
查看所有选项。
重要提示： 请始终使用
--parse --format markdown
以获取清晰的markdown输出。如果不使用这些参数，extract将返回原始HTML，体积可能非常大，导致LLM上下文窗口溢出。extract的
--format
参数控制的是内容类型（而非CLI输出格式——请见上方的输出格式部分）。
bash
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Standard extraction (always use --parse --format markdown for LLM-friendly output)

标准提取（LLM友好输出请始终使用--parse --format markdown）

nimble extract --url "https://example.com/article" --parse --format markdown
nimble extract --url "https://example.com/article" --parse --format markdown

Render JavaScript (for SPAs, dynamic content)

渲染JavaScript（适用于SPA、动态内容）

nimble extract --url "https://example.com/app" --render --parse --format markdown
nimble extract --url "https://example.com/app" --render --parse --format markdown

Extract with geolocation (see content as if from a specific country)

带地理定位的提取（查看特定国家的内容）

nimble extract --url "https://example.com" --country US --city "New York" --parse --format markdown
nimble extract --url "https://example.com" --country US --city "New York" --parse --format markdown

Handle cookie consent automatically

自动处理Cookie授权

nimble extract --url "https://example.com" --consent-header --parse --format markdown
nimble extract --url "https://example.com" --consent-header --parse --format markdown

Custom browser emulation

自定义浏览器模拟

nimble extract --url "https://example.com" --browser chrome --device desktop --os windows --parse --format markdown
nimble extract --url "https://example.com" --browser chrome --device desktop --os windows --parse --format markdown

Multiple content format preferences (API tries first, falls back to second)

多内容格式偏好（API优先尝试第一个，失败则使用第二个）

nimble extract --url "https://example.com" --parse --format markdown --format html

**Key options:**

| Flag | Description |
|------|-------------|
| `--url` | Target URL to extract (required) |
| `--parse` | Parse the response content (always use this) |
| `--format` | Content type preference: `markdown`, `html` (always use `markdown` for LLM-friendly output) |
| `--render` | Render JavaScript using a browser |
| `--country` | Country code for geolocation and proxy |
| `--city` | City for geolocation |
| `--state` | US state for geolocation (only when country=US) |
| `--locale` | Locale for language settings |
| `--consent-header` | Auto-handle cookie consent |
| `--browser` | Browser type to emulate |
| `--device` | Device type for emulation |
| `--os` | Operating system to emulate |
| `--driver` | Browser driver to use |
| `--method` | HTTP method (GET, POST, etc.) |
| `--headers` | Custom HTTP headers (key=value) |
| `--cookies` | Browser cookies |
| `--referrer-type` | Referrer policy |
| `--http2` | Use HTTP/2 protocol |
| `--request-timeout` | Timeout in milliseconds |
| `--tag` | User-defined tag for request tracking |
nimble extract --url "https://example.com" --parse --format markdown --format html

**关键选项：**

| 参数 | 描述 |
|------|-------------|
| `--url` | 要提取的目标URL（必填） |
| `--parse` | 解析响应内容（请始终使用此参数） |
| `--format` | 内容类型偏好：`markdown`、`html`（LLM友好输出请始终使用`markdown`） |
| `--render` | 使用浏览器渲染JavaScript |
| `--country` | 地理定位和代理的国家代码 |
| `--city` | 地理定位的城市 |
| `--state` | 地理定位的美国州（仅当country=US时可用） |
| `--locale` | 语言设置的区域设置 |
| `--consent-header` | 自动处理Cookie授权 |
| `--browser` | 要模拟的浏览器类型 |
| `--device` | 要模拟的设备类型 |
| `--os` | 要模拟的操作系统 |
| `--driver` | 要使用的浏览器驱动 |
| `--method` | HTTP方法（GET、POST等） |
| `--headers` | 自定义HTTP头（key=value） |
| `--cookies` | 浏览器Cookie |
| `--referrer-type` | 引用策略 |
| `--http2` | 使用HTTP/2协议 |
| `--request-timeout` | 超时时间（毫秒） |
| `--tag` | 用于请求跟踪的用户自定义标签 |

map

map

Fast URL discovery and site structure mapping. Easily plan extraction workflows. Returns URL metadata only (URLs, titles, descriptions) — not page content. Use 
extract
or 
crawl
to get actual content from the discovered URLs. Run 
nimble map --help
for all options.
bash
undefined
快速发现URL并映射站点结构，轻松规划提取工作流。仅返回URL元数据（URL、标题、描述）——不包含页面内容。使用
extract
或
crawl
从发现的URL获取实际内容。运行
nimble map --help
查看所有选项。
bash
undefined

Map all URLs on a site (returns URLs only, not content)

映射站点上的所有URL（仅返回URL，不包含内容）

nimble map --url "https://example.com"
nimble map --url "https://example.com"

Limit number of URLs returned

限制返回的URL数量

nimble map --url "https://docs.example.com" --limit 100
nimble map --url "https://docs.example.com" --limit 100

Include subdomains

包含子域名

nimble map --url "https://example.com" --domain-filter subdomains
nimble map --url "https://example.com" --domain-filter subdomains

Use sitemap for discovery

使用站点地图进行发现

nimble map --url "https://example.com" --sitemap auto

**Key options:**

| Flag | Description |
|------|-------------|
| `--url` | URL to map (required) |
| `--limit` | Max number of links to return |
| `--domain-filter` | Include subdomains in mapping |
| `--sitemap` | Use sitemap for URL discovery |
| `--country` | Country code for geolocation |
| `--locale` | Locale for language settings |
nimble map --url "https://example.com" --sitemap auto

**关键选项：**

| 参数 | 描述 |
|------|-------------|
| `--url` | 要映射的URL（必填） |
| `--limit` | 返回的最大链接数 |
| `--domain-filter` | 映射中包含子域名 |
| `--sitemap` | 使用站点地图进行URL发现 |
| `--country` | 地理定位的国家代码 |
| `--locale` | 语言设置的区域设置 |

crawl

crawl

Extract contents from entire websites in a single request. Collect large volumes of web data automatically. Crawl is async — you start a job, poll for completion, then retrieve the results. Run 
nimble crawl run --help
for all options.
Crawl defaults:
SettingDefaultNotes
--sitemap
auto
Automatically uses sitemap if available
--max-discovery-depth
5
How deep the crawler follows links
--limit
No limitAlways set a limit to avoid crawling entire sites
Start a crawl:
bash
undefined
单次请求即可提取整个网站的内容，自动收集大量网络数据。爬取是异步的——您启动任务轮询完成状态，然后获取结果。运行
nimble crawl run --help
查看所有选项。
爬取默认设置：
设置默认值说明
--sitemap
auto
自动使用站点地图（如果可用）
--max-discovery-depth
5
爬取器跟踪链接的深度
--limit
无限制始终设置限制以避免爬取整个站点
启动爬取：
bash
undefined

Crawl a site section (always set --limit)

爬取站点板块（始终设置--limit）

nimble crawl run --url "https://docs.example.com" --limit 50
nimble crawl run --url "https://docs.example.com" --limit 50

Crawl with path filtering

带路径过滤的爬取

nimble crawl run --url "https://example.com" --include-path "/docs" --include-path "/api" --limit 100
nimble crawl run --url "https://example.com" --include-path "/docs" --include-path "/api" --limit 100

Exclude paths

排除路径

nimble crawl run --url "https://example.com" --exclude-path "/blog" --exclude-path "/archive" --limit 50
nimble crawl run --url "https://example.com" --exclude-path "/blog" --exclude-path "/archive" --limit 50

Control crawl depth

控制爬取深度

nimble crawl run --url "https://example.com" --max-discovery-depth 3 --limit 50
nimble crawl run --url "https://example.com" --max-discovery-depth 3 --limit 50

Allow subdomains and external links

允许子域名和外部链接

nimble crawl run --url "https://example.com" --allow-subdomains --allow-external-links --limit 50
nimble crawl run --url "https://example.com" --allow-subdomains --allow-external-links --limit 50

Crawl entire domain (not just child paths)

爬取整个域名（不仅是子路径）

nimble crawl run --url "https://example.com/docs" --crawl-entire-domain --limit 100
nimble crawl run --url "https://example.com/docs" --crawl-entire-domain --limit 100

Named crawl for tracking

命名爬取任务以便跟踪

nimble crawl run --url "https://example.com" --name "docs-crawl-feb-2026" --limit 200
nimble crawl run --url "https://example.com" --name "docs-crawl-feb-2026" --limit 200

Use sitemap for discovery

使用站点地图进行发现

nimble crawl run --url "https://example.com" --sitemap auto --limit 50

**Key options for `crawl run`:**

| Flag | Description |
|------|-------------|
| `--url` | URL to crawl (required) |
| `--limit` | Max pages to crawl (**always set this**) |
| `--max-discovery-depth` | Max depth based on discovery order (default 5) |
| `--include-path` | Regex patterns for URLs to include (repeatable) |
| `--exclude-path` | Regex patterns for URLs to exclude (repeatable) |
| `--allow-subdomains` | Follow links to subdomains |
| `--allow-external-links` | Follow links to external sites |
| `--crawl-entire-domain` | Follow sibling/parent URLs, not just child paths |
| `--ignore-query-parameters` | Don't re-scrape same path with different query params |
| `--name` | Name for the crawl job |
| `--sitemap` | Use sitemap for URL discovery (default auto) |
| `--callback` | Webhook for receiving results |

**Poll crawl status and retrieve results:**

Crawl jobs run asynchronously. After starting a crawl, poll for completion, then retrieve content using **individual task IDs** (not the crawl ID):

```bash
nimble crawl run --url "https://example.com" --sitemap auto --limit 50

**`crawl run`关键选项：**

| 参数 | 描述 |
|------|-------------|
| `--url` | 要爬取的URL（必填） |
| `--limit` | 要爬取的最大页面数（**必须设置此参数**） |
| `--max-discovery-depth` | 基于发现顺序的最大深度（默认5） |
| `--include-path` | 要包含的URL正则模式（可重复使用） |
| `--exclude-path` | 要排除的URL正则模式（可重复使用） |
| `--allow-subdomains` | 跟踪子域名链接 |
| `--allow-external-links` | 跟踪外部站点链接 |
| `--crawl-entire-domain` | 跟踪同级/上级URL，不仅是子路径 |
| `--ignore-query-parameters` | 不重新抓取带有不同查询参数的相同路径 |
| `--name` | 爬取任务的名称 |
| `--sitemap` | 使用站点地图进行URL发现（默认auto） |
| `--callback` | 接收结果的Webhook |

**轮询爬取状态并获取结果：**

爬取任务异步运行。启动爬取后，轮询完成状态，然后使用**单个任务ID**（而非爬取ID）获取内容：

```bash

1. Start the crawl → returns a crawl_id

1. 启动爬取 → 返回crawl_id

nimble crawl run --url "https://docs.example.com" --limit 5
nimble crawl run --url "https://docs.example.com" --limit 5

Returns: crawl_id "abc-123"

返回：crawl_id "abc-123"

2. Poll status until completed → returns individual task_ids per page

2. 轮询状态直到完成 → 返回每个页面的单独task_ids

nimble crawl status --id "abc-123"
nimble crawl status --id "abc-123"

Returns: tasks: [{ task_id: "task-456" }, { task_id: "task-789" }, ...]

返回：tasks: [{ task_id: "task-456" }, { task_id: "task-789" }, ...]

Status values: running, completed, failed, terminated

状态值：running、completed、failed、terminated

3. Retrieve content using INDIVIDUAL task_ids (NOT the crawl_id)

3. 使用单个task_ids（而非crawl_id）获取内容

nimble tasks results --task-id "task-456" nimble tasks results --task-id "task-789"
nimble tasks results --task-id "task-456" nimble tasks results --task-id "task-789"

⚠️ Using the crawl_id here returns 404 — you must use the per-page task_ids from step 2

⚠️ 此处使用crawl_id会返回404错误——必须使用步骤2中的每个页面的task_ids


**IMPORTANT:** `nimble tasks results` requires the **individual task IDs** from `crawl status` (each crawled page gets its own task ID), not the crawl job ID. Using the crawl ID will return a 404 error.

**Polling guidelines:**
- Poll every **15-30 seconds** for small crawls (< 50 pages)
- Poll every **30-60 seconds** for larger crawls (50+ pages)
- Stop polling after status is `completed`, `failed`, or `terminated`
- **Note:** `crawl status` may occasionally misreport individual task statuses (showing "failed" for tasks that actually succeeded). If `crawl status` shows failed tasks, try retrieving their results with `nimble tasks results` before assuming failure

**List crawls:**

```bash

**重要提示：** `nimble tasks results`需要来自`crawl status`的**单个任务ID**（每个爬取的页面都有自己的任务ID），而非爬取任务ID。使用爬取ID会返回404错误。

**轮询指南：**
- 小型爬取（<50页）每**15-30秒**轮询一次
- 大型爬取（50+页）每**30-60秒**轮询一次
- 状态为`completed`、`failed`或`terminated`时停止轮询
- **注意：** `crawl status`可能偶尔错误报告单个任务状态（将实际成功的任务显示为“failed”）。如果`crawl status`显示失败任务，请先尝试使用`nimble tasks results`获取结果，再假设任务失败。

**列出爬取任务：**

```bash

List all crawls

列出所有爬取任务

nimble crawl list
nimble crawl list

Filter by status

按状态过滤

nimble crawl list --status running
nimble crawl list --status running

Paginate results

分页返回结果

nimble crawl list --limit 10

**Cancel a crawl:**

```bash
nimble crawl terminate --id "crawl-task-id"
nimble crawl list --limit 10

**取消爬取任务：**

```bash
nimble crawl terminate --id "crawl-task-id"

Best Practices

最佳实践

Search Strategy

搜索策略

  1. Always pass 
    --deep-search=false
     — the default is deep mode (slow). Fast mode covers 95% of use cases: URL discovery, research, comparisons, answer generation
  2. Only use deep mode when you need full page text — archiving articles, extracting complete docs, building datasets
  3. Start with the right focus mode — match 
    --topic
    to your query type (see 
    references/search-focus-modes.md
    )
  4. Use 
    --include-answer
     — get AI-synthesized insights without extracting each result. If it returns 402/403, retry without it.
  5. Filter domains — use 
    --include-domain
    to target authoritative sources
  6. Add time filters — use 
    --time-range
    for time-sensitive queries
  1. 始终传递
    --deep-search=false
     —— 默认是深度模式（速度慢）。快速模式覆盖95%的使用场景：URL发现、调研、对比、答案生成
  2. 仅在需要完整页面文本时使用深度模式 —— 归档文章、提取完整文档、构建数据集
  3. 从正确的聚焦模式开始 —— 将
    --topic
    与您的查询类型匹配（见
    references/search-focus-modes.md
    ）
  4. 使用
    --include-answer
     —— 无需提取每个结果即可获取AI合成见解。如果返回402/403，请重试不带该参数的查询。
  5. 过滤域名 —— 使用
    --include-domain
    定位权威来源
  6. 添加时间过滤 —— 对时间敏感的查询使用
    --time-range

Multi-Search Strategy

多搜索策略

When researching a topic in depth, run 2-3 searches in parallel with:
  • Different topics — e.g., 
    social
    + 
    general
    for people research
  • Different query angles — e.g., "Jane Doe current job" + "Jane Doe career history" + "Jane Doe publications"
This is faster than sequential searches and gives broader coverage. Deduplicate results by URL before extracting.
深入调研某主题时，并行运行2-3次搜索，使用：
  • 不同主题 —— 例如，人物调研使用
    social
    + 
    general
  • 不同查询角度 —— 例如，“Jane Doe current job” + “Jane Doe career history” + “Jane Doe publications”
这比顺序搜索更快，覆盖范围更广。提取前按URL去重结果。

Disambiguating Common Names

同名人物消歧

When searching for a person with a common name:
  1. Include distinguishing context in the query: company name, job title, city
  2. Use 
    --topic social
    — LinkedIn results include location and current company, making disambiguation easier
  3. Cross-reference results across searches to confirm you're looking at the right person
搜索同名人物时：
  1. 查询中加入区分性上下文：公司名称、职位、城市
  2. 使用
    --topic social
    —— LinkedIn结果包含地点和当前公司，便于消歧
  3. 跨搜索交叉验证结果，确认您查找的是正确的人物

Extraction Strategy

提取策略

  1. Always use 
    --parse --format markdown
     — returns clean markdown instead of raw HTML, preventing context window overflow
  2. Try without 
    --render
    first     — it's faster for static pages
  3. Add 
    --render
    for SPAs     — when content is loaded by JavaScript
  4. Set geolocation — use 
    --country
    to see region-specific content
  1. 始终使用
    --parse --format markdown
     —— 返回清晰的markdown而非原始HTML，避免上下文窗口溢出
  2. 先尝试不带
    --render
    的提取     —— 静态页面速度更快
  3. SPA页面添加
    --render
     —— 当内容由JavaScript加载时
  4. 设置地理定位 —— 使用
    --country
    查看特定区域的内容

Crawl Strategy

爬取策略

  1. Prefer 
    map
    + 
    extract
    over 
    crawl
    for LLM use     — crawl results return raw HTML (60-115KB per page) which overwhelms LLM context. For LLM-friendly output, use 
    map
    to discover URLs, then 
    extract --parse --format markdown
    on individual pages
  2. Use 
    crawl
    only for bulk archiving or data pipelines     — when you need raw content from many pages and will post-process it outside the LLM context
  3. Always set 
    --limit
     — crawl has no default limit, so always specify one to avoid crawling entire sites
  4. Use path filters — 
    --include-path
    and 
    --exclude-path
    to target specific sections
  5. Name your crawls — use 
    --name
    for easy tracking
  6. Retrieve with individual task IDs — 
    crawl status
    returns per-page task IDs; use those (not the crawl ID) with 
    nimble tasks results --task-id
  1. LLM使用优先选择
    map
    + 
    extract
    而非
    crawl
     —— 爬取结果返回原始HTML（每页60-115KB），会超出LLM上下文窗口。如需LLM友好的输出，使用
    map
    发现URL，然后对单个页面使用
    extract --parse --format markdown
  2. 仅在批量归档或数据管道中使用
    crawl
     —— 当您需要大量页面的原始内容并将在LLM上下文外进行后处理时
  3. 始终设置
    --limit
     —— 爬取无默认限制，因此请始终指定限制以避免爬取整个站点
  4. 使用路径过滤 —— 
    --include-path
    和
    --exclude-path
    定位特定板块
  5. 为爬取任务命名 —— 使用
    --name
    便于跟踪
  6. 使用单个任务ID获取结果 —— 
    crawl status
    返回每个页面的任务ID；将这些ID（而非爬取ID）与
    nimble tasks results --task-id
    配合使用

Common Recipes

常用示例

Researching a person

调研人物

bash
undefined
bash
undefined

Step 1: Run social + general in parallel for max coverage

步骤1：并行运行social+general以获得最大覆盖范围

nimble search --query "Jane Doe Head of Engineering" --topic social --deep-search=false --num-results 10 --include-answer nimble search --query "Jane Doe Head of Engineering" --topic general --deep-search=false --num-results 10 --include-answer
nimble search --query "Jane Doe Head of Engineering" --topic social --deep-search=false --num-results 10 --include-answer nimble search --query "Jane Doe Head of Engineering" --topic general --deep-search=false --num-results 10 --include-answer

Step 2: Broaden with different query angles in parallel

步骤2：并行使用不同查询角度扩大范围

nimble search --query "Jane Doe career history Acme Corp" --deep-search=false --include-answer nimble search --query "Jane Doe publications blog articles" --deep-search=false --include-answer
nimble search --query "Jane Doe career history Acme Corp" --deep-search=false --include-answer nimble search --query "Jane Doe publications blog articles" --deep-search=false --include-answer

Step 3: Extract the most promising non-auth-walled URLs (skip LinkedIn — see Known Limitations)

步骤3：提取最有价值的非授权墙URL（跳过LinkedIn——见已知限制）

nimble extract --url "https://www.companysite.com/team/jane-doe" --parse --format markdown
undefined
nimble extract --url "https://www.companysite.com/team/jane-doe" --parse --format markdown
undefined

Researching a company

调研公司

bash
undefined
bash
undefined

Step 1: Overview + recent news in parallel

步骤1：并行获取概述+近期新闻

nimble search --query "Acme Corp" --topic general --deep-search=false --include-answer nimble search --query "Acme Corp" --topic news --time-range month --deep-search=false --include-answer
nimble search --query "Acme Corp" --topic general --deep-search=false --include-answer nimble search --query "Acme Corp" --topic news --time-range month --deep-search=false --include-answer

Step 2: Extract company page

步骤2：提取公司页面

nimble extract --url "https://acme.com/about" --parse --format markdown
undefined
nimble extract --url "https://acme.com/about" --parse --format markdown
undefined

Technical research

技术调研

bash
undefined
bash
undefined

Step 1: Find docs and code examples

步骤1：查找文档和代码示例

nimble search --query "React Server Components migration guide" --topic coding --deep-search=false --include-answer
nimble search --query "React Server Components migration guide" --topic coding --deep-search=false --include-answer

Step 2: Extract the most relevant doc

步骤2：提取最相关的文档

nimble extract --url "https://react.dev/reference/rsc/server-components" --parse --format markdown
undefined
nimble extract --url "https://react.dev/reference/rsc/server-components" --parse --format markdown
undefined

Error Handling

错误处理

ErrorSolution
NIMBLE_API_KEY not set
Set the environment variable: 
export NIMBLE_API_KEY="your-key"
401 Unauthorized
Verify API key is active at nimbleway.com
402
/
403
with 
--include-answer
Premium feature not available on current plan. Retry the same query without 
--include-answer
and continue
429 Too Many Requests
Reduce request frequency or upgrade API tier
TimeoutEnsure 
--deep-search=false
is set, reduce 
--num-results
, or increase 
--request-timeout
No resultsTry different 
--topic
, broaden query, remove domain filters
错误解决方案
NIMBLE_API_KEY not set
设置环境变量：
export NIMBLE_API_KEY="your-key"
401 Unauthorized
在nimbleway.com验证API密钥是否有效
使用
--include-answer
时返回
402
/
403
当前计划不支持此高级功能。重试不带该参数的相同查询并继续
429 Too Many Requests
降低请求频率或升级API套餐
超时确保设置了
--deep-search=false
，减少
--num-results
，或增加
--request-timeout
无结果尝试不同的
--topic
，扩大查询范围，移除域名过滤

Known Limitations

已知限制

SiteIssueWorkaround
LinkedIn profilesAuth wall blocks extraction (returns redirect/JS, status 999)Use 
--topic social
search instead — it returns LinkedIn data directly via subagents. Do NOT try to 
extract
LinkedIn URLs.
Sites behind loginExtract returns login page instead of contentNo workaround — use search snippets instead
Heavy SPAsExtract returns empty or minimal HTMLAdd 
--render
flag to execute JavaScript before extraction
Crawl resultsReturns raw HTML (60-115KB per page), no markdown optionUse 
map
+ 
extract --parse --format markdown
on individual pages for LLM-friendly output
Crawl statusMay misreport individual task statuses as "failed" when they actually succeededAlways try 
nimble tasks results --task-id
before assuming failure
站点问题解决方法
LinkedIn资料授权墙阻止提取（返回重定向/JS，状态码999）改用
--topic social
搜索——通过子Agent直接返回LinkedIn数据。不要尝试
extract
LinkedIn URL。
需要登录的站点Extract返回登录页面而非内容无解决方法——改用搜索摘要
复杂SPAExtract返回空或极简HTML添加
--render
参数，在提取前执行JavaScript
爬取结果返回原始HTML（每页60-115KB），无markdown选项对单个页面使用
map
+ 
extract --parse --format markdown
以获得LLM友好的输出
爬取状态可能将单个任务状态错误报告为“failed”，但实际任务已成功假设任务失败前，始终尝试使用
nimble tasks results --task-id
获取结果