duckduckgo

name	duckduckgo
description	Searches DuckDuckGo via its HTML endpoint using scrapling. Returns results as markdown (default), raw HTML, compact JSON, or YAML. Use when performing web searches from within an agent workflow without requiring a search API key or external service.

DuckDuckGo Search

Overview

Searches DuckDuckGo via its HTML endpoint (html.duckduckgo.com/html/) using scrapling for fetching and parsing. Supports four output formats — all sourced from the same HTML API:

• Markdown (default) — clean, AI-targeted markdown from scrapling
• HTML — raw .web-result HTML elements
• JSON — compact array of {title, url, domain, snippet} objects
• YAML — structured list of result mappings

No API key or external search service required. Uses uvx 'scrapling[shell]' for ephemeral execution.

When to Use

• Performing web searches from within an agent workflow
• Gathering search result snippets, titles, and URLs programmatically
• Research tasks that need structured search output (JSON/YAML) for downstream processing
• Situations where Google/Bing APIs are unavailable or require authentication

Usage Examples

Markdown (default)

Run search.sh with a query — no format flag needed:

bash scripts/search.sh "tangled group"

Output is clean markdown produced by scrapling's --ai-targeted mode, streamed directly to stdout.

HTML

Request raw HTML when you need the full DOM structure:

bash scripts/search.sh "tangled group" --format html

Returns .web-result divs with all CSS classes, links, and snippets intact.

JSON

Get compact JSON for programmatic processing:

bash scripts/search.sh "tangled group" --format json

Output:

[{"title":"Tangled Group, Inc.","url":"https://tangledgroup.com/","domain":"tangledgroup.com","snippet":"We are a software development company..."},...]

Each result object contains only fields present in the HTML: title, url, domain, snippet. Missing fields are omitted.

YAML

Get structured YAML output:

bash scripts/search.sh "tangled group" --format yaml

Output:

- title: 'Tangled Group, Inc.'
  url: 'https://tangledgroup.com/'
  domain: 'tangledgroup.com'
  snippet: |
    We are a software development company...

Core Concepts

Output Pipeline

All four formats use the same source — DuckDuckGo's HTML endpoint:

1. search.sh constructs the URL: https://html.duckduckgo.com/html/?q=<encoded-query>
2. uvx 'scrapling[shell]' extract get fetches and isolates .web-result elements
3. For markdown/json/yaml: scrapling's --ai-targeted flag produces clean, AI-friendly output
4. For html: raw HTML passed through without --ai-targeted to preserve original DOM structure
5. For json/yaml: HTML saved to a temp file, then format.py parses it using Python's built-in html.parser

Temp File Handling

All formats create temporary files in /tmp/ using mktemp with PID-based prefixes (ddg-search-${$}-XXXXXX) to ensure uniqueness under parallel execution. Files are automatically cleaned up on exit via a bash trap handler (covers normal exit, SIGINT, SIGTERM).

Query Encoding

Query is passed to Python via stdin (not shell argument expansion) to prevent shell injection. urllib.parse.quote URL-encodes the query. Multi-word queries are handled correctly — "tangled group" becomes tangled%20group.

Dependencies

• bash — shell scripting
• uvx — ephemeral Python package execution (runs scrapling[shell])
• python3 — query encoding and HTML-to-JSON/YAML formatting (builtins only: html.parser, json, sys, urllib.parse, re)