Dataify Duckduckgo Search
/install dataify-duckduckgo-search
Dataify DuckDuckGo Search
Workflow
Use python3 to run the bundled script for the entire flow. Do not build the HTTP request manually unless the script needs maintenance.
Always preview parameters before every API call:
python3 scripts/duckduckgo_search.py --request "\x3Cuser request>" --preview
On Windows workspaces where the python3 alias is unavailable, use the installed Python 3 launcher for the same script, for example python scripts/duckduckgo_search.py ....
Show the preview table to the user. The table must include the complete field list except Authorization, and only these columns: parameter name, current value, default value, and description. Ask whether the user wants to modify any parameter. Do not call the API until the user confirms.
After the user confirms, call the API with the same request and explicit overrides, adding --confirmed. If the user provides a token in the conversation, pass it explicitly:
python3 scripts/duckduckgo_search.py --request "\x3Cuser request>" --token "\x3CDATAIFY_API_TOKEN>" --confirmed
The script reads DATAIFY_API_TOKEN from the environment when --token is not provided. If no token is available, stop and ask the user to provide a Dataify API token or register at Dataify Dashboard.
Field Mapping
Pass the user's full request to --request; the script automatically maps natural-language hints and explicit assignments to Dataify fields:
| Field | Behavior |
|---|---|
engine |
Always duckduckgo. |
q |
Search query parsed from the user request or --q. Required. |
json |
Output format: 1 JSON, 2 JSON+HTML, 3 HTML, 4 Light JSON. Defaults to 1. |
kl |
DuckDuckGo region code such as us-en, uk-en, or fr-fr; no default. |
search_assist |
true or false; defaults to false; cannot be sent with m. If enabled, the script omits m. |
safe |
1 strict, -1 moderate (default), -2 off. |
df |
d, w, m, y, or a date range like 2021-06-15..2024-06-16. |
start |
Result offset; defaults to 0 or empty according to the API description. |
m |
Maximum result count, defaults to 50, clamped to 1..50; omitted when search_assist=true. |
no_cache |
true skips cache; false uses cache by default. |
Use default values from parameter descriptions when the user does not specify a field: engine=duckduckgo, json=1, search_assist=false, safe=-1, start=0, m=50, and no_cache=false. q, kl, and df have no default. Do not treat API documentation examples as defaults: never use q=pizza, kl=us-en, search_assist=true, safe=1, df=d, start=0 because it appeared in an example, m=10, or no_cache=true unless the user request or the documented default says so.
For exact control, pass explicit flags such as --q, --json, --kl, --safe, --df, --start, --m, --no-cache, and --search-assist; explicit flags override the natural-language parser.
Response Handling
The script submits the request as application/x-www-form-urlencoded form data, not JSON.
Return the script stdout directly to the user. Do not summarize, translate, pretty-print, filter, or otherwise process the API response.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install dataify-duckduckgo-search - After installation, invoke the skill by name or use
/dataify-duckduckgo-search - Provide required inputs per the skill's parameter spec and get structured output
What is Dataify Duckduckgo Search?
Use when the user asks to search DuckDuckGo, fetch DuckDuckGo results. It is an AI Agent Skill for Claude Code / OpenClaw, with 38 downloads so far.
How do I install Dataify Duckduckgo Search?
Run "/install dataify-duckduckgo-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Dataify Duckduckgo Search free?
Yes, Dataify Duckduckgo Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Dataify Duckduckgo Search support?
Dataify Duckduckgo Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Dataify Duckduckgo Search?
It is built and maintained by dataify-server (@dataify-server); the current version is v1.0.0.