duckduckgo-search
Skill16 starsChanged 8 months agoMITView on GitHub
Free web search via DuckDuckGo — text, news, images, videos. No API key needed. Use the Python DDGS library or CLI to search, then web_extract for full content.
- Reads credentials
- Installs packages
4 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- ashleysbrain/skillsedited, first seen Nov 8, 2026
- math-inc/OpenGaussedited, first seen Oct 8, 2026
- DanielLetto2020/qwen-storetheir own version, first seen Apr 10, 2026
- bearzk/claude-skillstheir own version, first seen Jan 24, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- math-inc/OpenGauss★ 1.3k99% same
- ashleysbrain/skills★ 187% same
Wrote their own version · 2
- DanielLetto2020/qwen-store★ 2same name
- bearzk/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository33 other files it gives its agents.
- AGENTS.mdAGENTS.md
- apple-notesSkill
- apple-remindersSkill
- findmySkill
- imessageSkill
- ascii-artSkill
- excalidrawSkill
- himalayaSkill
- codebase-inspectionSkill
- github-authSkill
- github-code-reviewSkill
- github-issuesSkill
- github-pr-workflowSkill
- github-repo-managementSkill
- mcporterSkill
- native-mcpSkill
- youtube-contentSkill
- obsidian-dashboardSkill
- google-workspaceSkill
- linearSkill
- nano-pdfSkill
- notionSkill
- ocr-and-documentsSkill
- powerpointSkill
- arxivSkill
- blogwatcherSkill
- code-reviewSkill
- planSkill
- requesting-code-reviewSkill
- subagent-driven-developmentSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
- writing-plansSkill
The file
We split this skill into the rules it gives an agent
3 rules. 1 is common, 0 are distinctive, and 2 are very specific to this project.
1
Common
Most of the 3 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 31
Use the DDGS class in execute_code for structured results with typed fields.
- Very specific: line 117
Use the ddgs command via terminal when you don't need structured field access.
- Common: line 184
Empty results: If ddgs returns nothing, it may be rate-limited.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
DuckDuckGo Search
Free web search using DuckDuckGo. No API key required.
Preferred when web_search tool is unavailable or unsuitable (no FIRECRAWL_API_KEY set). Can also be used as a standalone search tool.
Setup
# Install the ddgs package (one-time)
pip install ddgsPython API (Primary)
Use the DDGS class in execute_code for structured results with typed fields.
Important: max_results must always be passed as a keyword argument — positional usage raises an error on all methods.
Text Search
Best for: general research, companies, documentation.
from ddgs import DDGS
with DDGS() as ddgs:
for r in ddgs.text("python async programming", max_results=5):
print(r["title"])
print(r["href"])
print(r.get("body", "")[:200])
print()Returns: title, href, body
News Search
Best for: current events, breaking news, latest updates.
from ddgs import DDGS
with DDGS() as ddgs:
for r in ddgs.news("AI regulation 2026", max_results=5):
print(r["date"], "-", r["title"])
print(r.get("source", ""), "|", r["url"])
print(r.get("body", "")[:200])
print()Returns: date, title, body, url, image, source
Image Search
Best for: visual references, product images, diagrams.
from ddgs import DDGS
with DDGS() as ddgs:
for r in ddgs.images("semiconductor chip", max_results=5):
print(r["title"])
print(r["image"]) # direct image URL
print(r.get("thumbnail", ""))
print(r.get("source", ""))
print()Returns: title, image, thumbnail, url, height, width, source
Video Search
Best for: tutorials, demos, explainers.
from ddgs import DDGS
with DDGS() as ddgs:
for r in ddgs.videos("FastAPI tutorial", max_results=5):
print(r["title"])
print(r.get("content", "")) # video URL
print(r.get("duration", "")) # e.g. "26:03"
print(r.get("provider", "")) # YouTube, etc.
print(r.get("published", ""))
print()Returns: title, content, description, duration, provider, published, statistics, uploader
Quick Reference
| Method | Use When | Key Fields |
text() | General research, companies | title, href, body |
news() | Current events, updates | date, title, source, body, url |
images() | Visuals, diagrams | title, image, thumbnail, url |
videos() | Tutorials, demos | title, content, duration, provider |
CLI (Alternative)
Use the ddgs command via terminal when you don't need structured field access.
# Text search
ddgs text -k "python async programming" -m 5
# News search
ddgs news -k "artificial intelligence" -m 5
# Image search
ddgs images -k "landscape photography" -m 10
# Video search
ddgs videos -k "python tutorial" -m 5
# With region filter
ddgs text -k "best restaurants" -m 5 -r us-en
# Recent results only (d=day, w=week, m=month, y=year)
ddgs text -k "latest AI news" -m 5 -t w
# JSON output for parsing
ddgs text -k "fastapi tutorial" -m 5 -o jsonCLI Flags
| Flag | Description | Example |
-k | Keywords (query) — required | -k "search terms" |
-m | Max results | -m 5 |
-r | Region | -r us-en |
-t | Time limit | -t w (week) |
-s | Safe search | -s off |
-o | Output format | -o json |
Workflow: Search then Extract
DuckDuckGo returns titles, URLs, and snippets — not full page content. To get full content, follow up with web_extract:
- Search with ddgs to find relevant URLs
- Extract content using the
web_extracttool (if available) or curl
from ddgs import DDGS
with DDGS() as ddgs:
results = list(ddgs.text("fastapi deployment guide", max_results=3))
for r in results:
print(r["title"], "->", r["href"])
# Then use web_extract tool on the best URLLimitations
- Rate limiting: DuckDuckGo may throttle after many rapid requests. Add a short delay between searches if needed.
- No content extraction: ddgs returns snippets, not full page content. Use
web_extractor curl for that. - Results quality: Generally good but less configurable than Firecrawl's search.
- Availability: DuckDuckGo may block requests from some cloud IPs. If searches return empty, try different keywords or wait a few seconds.
- Field variability: Return fields may vary between results or ddgs versions. Use
.get()for optional fields to avoid KeyError.
Pitfalls
max_resultsis keyword-only:ddgs.text("query", 5)raises an error. Useddgs.text("query", max_results=5).- Don't confuse
-kand-m(CLI):-kis for keywords,-mis for max results count. - Package name: The package is
ddgs(was previouslyduckduckgo-search). Install withpip install ddgs. - Empty results: If ddgs returns nothing, it may be rate-limited. Wait a few seconds and retry.
Validated With
Smoke-tested with ddgs==9.11.2 on Python 3.13. All four methods (text, news, images, videos) confirmed working with keyword max_results.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

