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Duckduckgo Search

DuckDuckGo web search for private tracker-free searching. Use when user asks to search the web find information online or perform web-based research without...

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DuckDuckGo web search for private tracker-free searching. Use when user asks to search the web find information online or perform web-based research without...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
scripts/duckduckgo_search.py, SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 21 sections Open source page

DuckDuckGo Web Search

Private web search using DuckDuckGo API for tracker-free information retrieval.

Core Features

Privacy-focused search (no tracking) Instant answer support Multiple search modes (web, images, videos, news) JSON output for easy parsing No API key required

Basic Web Search

import requests def search_duckduckgo(query, max_results=10): """ Perform DuckDuckGo search and return results. Args: query: Search query string max_results: Maximum number of results to return (default: 10) Returns: List of search results with title, url, description """ url = "https://api.duckduckgo.com/" params = { "q": query, "format": "json", "no_html": 1, "skip_disambig": 0 } response = requests.get(url, params=params) data = response.json() # Extract results results = [] # Abstract (instant answer) if data.get("Abstract"): results.append({ "type": "instant_answer", "title": "Instant Answer", "content": data["Abstract"], "source": data.get("AbstractSource", "DuckDuckGo") }) # Related topics if data.get("RelatedTopics"): for topic in data["RelatedTopics"][:max_results]: if isinstance(topic, dict) and topic.get("Text"): results.append({ "type": "related", "title": topic.get("FirstURL", "").split("/")[-1].replace("-", " ").title(), "content": topic["Text"], "url": topic.get("FirstURL", "") }) return results[:max_results]

Advanced Usage (HTML Scraping)

from bs4 import BeautifulSoup import requests def search_with_results(query, max_results=10): """ Perform DuckDuckGo search and scrape actual results. Args: query: Search query string max_results: Maximum number of results to return Returns: List of search results with title, url, snippet """ url = "https://duckduckgo.com/html/" params = {"q": query} headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36" } response = requests.post(url, data=params, headers=headers) soup = BeautifulSoup(response.text, "html.parser") results = [] for result in soup.find_all("a", class_="result__a", href=True)[:max_results]: results.append({ "title": result.get_text(), "url": result["href"], "snippet": result.find_parent("div", class_="result__body").get_text().strip() }) return results

Search Operators

DuckDuckGo supports standard search operators: OperatorExampleDescription"""exact phrase"Exact phrase match-python -djangoExclude termssite:site:wikipedia.org historySearch specific sitefiletype:filetype:pdf reportSpecific file typesintitle:intitle:openclawWords in titleinurl:inurl:docs/Words in URLORdocker OR kubernetesEither term

Web Search

Default mode, searches across the web. search_with_results("machine learning tutorial")

Images Search

def search_images(query, max_results=10): url = "https://duckduckgo.com/i.js" params = { "q": query, "o": "json", "vqd": "", # Will be populated "f": ",,,", "p": "1" } response = requests.get(url, params=params) data = response.json() results = [] for result in data.get("results", [])[:max_results]: results.append({ "title": result.get("title", ""), "url": result.get("image", ""), "thumbnail": result.get("thumbnail", ""), "source": result.get("source", "") }) return results

News Search

Add !news to the query: search_duckduckgo("artificial intelligence !news")

Query Construction

Good queries: "DuckDuckGo API documentation" 2024 (specific, recent) site:github.com openclaw issues (targeted) python machine learning tutorial filetype:pdf (resource-specific) Avoid: Vague single words ("search", "find") Overly complex operators that might confuse results Questions with multiple unrelated topics

Privacy Considerations

DuckDuckGo advantages: โœ… No personal tracking โœ… No search history stored โœ… No user profiling โœ… No forced personalized results

Performance Tips

Use HTML scraping for actual results - The JSON API provides instant answers but limited result lists Add appropriate delays - Respect rate limits when making multiple queries Cache results - Store common searches to avoid repeated API calls

Error Handling

def search_safely(query, retries=3): for attempt in range(retries): try: results = search_with_results(query) if results: return results except Exception as e: if attempt == retries - 1: raise time.sleep(2 ** attempt) # Exponential backoff return []

Markdown Format

def format_results_markdown(results, query): output = f"# Search Results for: {query}\n\n" for i, result in enumerate(results, 1): output += f"## {i}. {result.get('title', 'Untitled')}\n\n" output += f"**URL:** {result.get('url', 'N/A')}\n\n" output += f"{result.get('snippet', result.get('content', 'N/A'))}\n\n" output += "---\n\n" return output

JSON Format

import json def format_results_json(results, query): return json.dumps({ "query": query, "count": len(results), "results": results, "timestamp": datetime.now().isoformat() }, indent=2)

Find Documentation

search_duckduckgo(f'{library_name} documentation filetype:md')

Recent Information

search_duckduckgo(f'{topic} 2024 news')

Troubleshooting

search_duckduckgo(f'{error_message} {tool_name} stackoverflow')

Technical Comparison

search_duckduckgo('postgresql vs mysql performance 2024')

Integration Example

class DuckDuckGoSearcher: def __init__(self): self.session = requests.Session() self.session.headers.update({ "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36" }) def search(self, query, mode="web", max_results=10): """ Unified search interface. Args: query: Search query mode: 'web', 'images', 'news' max_results: Maximum results Returns: Formatted results as list """ if mode == "images": return self._search_images(query, max_results) elif mode == "news": return self._search_web(f"{query} !news", max_results) else: return self._search_web(query, max_results) def _search_web(self, query, max_results): # Implementation pass def _search_images(self, query, max_results): # Implementation pass

Official Documentation

DuckDuckGo API Wiki: https://duckduckgo.com/api Instant Answer API: https://duckduckgo.com/params Search Syntax: https://help.duckduckgo.com/duckduckgo-help-pages/results/syntax/

References

HTML scraping patterns for result extraction Rate limiting best practices Result parsing and filtering

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts
  • SKILL.md Primary doc
  • scripts/duckduckgo_search.py Scripts