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// Skill profile

SearXNG Search

name: web-search-by-searxng

by cyijun · published 2026-03-22

开发工具图像生成
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Last updated
2026-03
// Install command
$ claw add gh:cyijun/cyijun-web-search-by-searxng
View on GitHub
// Full documentation

---

name: web-search-by-searxng

description: Search using a custom SearXNG instance via HTTP API. Enables privacy-friendly web search by aggregating results from multiple search engines. Supports query, format (json/csv/rss), language, time range, categories, engines, pagination, and safe search filtering. Requires a user-provided or configured SearXNG instance URL.

---

# SearXNG Search

This skill enables web search using a custom SearXNG instance via its HTTP API.

Overview

SearXNG is a privacy-respecting metasearch engine that aggregates results from multiple search engines. This skill allows you to search using a custom SearXNG instance URL.

API Endpoints

  • `GET /` or `GET /search` - Query parameters in URL
  • `POST /` or `POST /search` - Form data
  • Required Configuration

    You need a SearXNG instance URL. The user can provide:

    1. A public instance URL (e.g., `https://searx.be`)

    2. A self-hosted instance URL

    3. An environment variable `SEARXNG_URL` containing the instance URL

    Parameters

    | Parameter | Required | Description |

    |-----------|----------|-------------|

    | `q` | Yes | Search query string |

    | `format` | No | Output format: `json`, `csv`, `rss` (default: HTML) |

    | `language` | No | Language code (e.g., `en`, `zh`, `de`) |

    | `pageno` | No | Page number (default: 1) |

    | `time_range` | No | Time filter: `day`, `month`, `year` |

    | `categories` | No | Comma-separated category list |

    | `engines` | No | Comma-separated engine list |

    | `safesearch` | No | Safe search level: `0`, `1`, `2` |

    Categories and Engines

    SearXNG organizes search into categories (tabs) with multiple engines per category.

    **Available Categories:**

  • `general` - General web search
  • `images` - Image search
  • `videos` - Video search
  • `news` - News articles
  • `map` - Maps and locations
  • `music` - Music and audio
  • `it` - IT/Technology resources
  • `science` - Scientific publications
  • `files` - Files and torrents
  • `social_media` - Social media content
  • **Common Engines:**

  • Web: `google`, `duckduckgo`, `bing`, `brave`, `startpage`, `wikipedia`
  • Images: `google images`, `bing images`, `unsplash`, `flickr`
  • Videos: `youtube`, `google videos`, `vimeo`, `dailymotion`
  • News: `google news`, `bing news`, `reuters`
  • IT: `github`, `stackoverflow`, `arch linux wiki`, `pypi`
  • Science: `google scholar`, `arxiv`, `pubmed`
  • **Bang Syntax:** Use `!` prefix in queries to target specific engines:

  • `!go python` - Search Google
  • `!wp artificial intelligence` - Search Wikipedia
  • `!github machine learning` - Search GitHub
  • For detailed engine lists and features, see [references/engines_and_categories.md](references/engines_and_categories.md).

    Usage

    Using the Python Script

    # Basic search
    python scripts/searxng_search.py -u https://searx.example.org -q "python tutorial"
    
    # JSON output
    python scripts/searxng_search.py -u https://searx.example.org -q "python tutorial" --format json
    
    # With language and time range
    python scripts/searxng_search.py -u https://searx.example.org -q "news" --lang en --time-range day
    
    # Use environment variable for URL
    export SEARXNG_URL=https://searx.example.org
    python scripts/searxng_search.py -q "search query"
    
    # Search specific category
    python scripts/searxng_search.py -u https://searx.example.org -q "AI" --categories news
    
    # Search specific engines
    python scripts/searxng_search.py -u https://searx.example.org -q "python" --engines google,stackoverflow
    

    Using HTTP Requests Directly

    import requests
    
    url = "https://searx.example.org/search"
    params = {
        "q": "python tutorial",
        "format": "json",
        "language": "en",
        "categories": "general,it",  # Multiple categories
        "engines": "google,duckduckgo"  # Specific engines
    }
    
    response = requests.get(url, params=params, timeout=30)
    results = response.json()
    

    Bang Syntax in Query

    # Use bang syntax to target specific engines
    params = {
        "q": "!github machine learning framework",  # Only search GitHub
        "format": "json"
    }
    

    JSON Response Format

    {
      "query": "search query",
      "number_of_results": 1000000,
      "results": [
        {
          "title": "Result Title",
          "url": "https://example.com",
          "content": "Snippet text...",
          "engine": "google",
          "score": 1.0
        }
      ],
      "answers": [],
      "suggestions": [],
      "unresponsive_engines": []
    }
    

    Important Notes

    1. **Format Availability**: JSON/CSV/RSS formats must be enabled in the instance's `settings.yml`. Many public instances disable these formats.

    2. **Rate Limiting**: Be respectful of the instance's resources. Add delays between requests.

    3. **Self-Hosting**: For reliable API access, consider self-hosting a SearXNG instance.

    4. **Time Range**: Not all engines support time range filtering. Check instance preferences.

    5. **Engine Availability**: Not all engines are enabled on all instances. Check the instance's preferences page.

    Example Workflows

    Basic Web Search

    1. Ask user for SearXNG instance URL or use configured URL

    2. Construct search query

    3. Call API with `format=json`

    4. Parse and present results

    Category-Specific Search

    1. Choose category based on query type (news, images, science, etc.)

    2. Use `categories` parameter or bang syntax

    3. Filter results as needed

    Multi-Page Search

    1. Perform initial search

    2. If more results needed, increment `pageno` parameter

    3. Combine results from multiple pages

    Filtered Search

    1. Use `time_range=day` for recent results

    2. Use `safesearch=2` for strict filtering

    3. Use `language` parameter for locale-specific results

    4. Use `categories` or `engines` to narrow search scope

    References

  • [engines_and_categories.md](references/engines_and_categories.md) - Complete list of engines and categories
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