leonardo-picciani

dataforseo-keywords-data-api

0
0
# Install this skill:
npx skills add leonardo-picciani/dataforseo-agent-skills --skill "dataforseo-keywords-data-api"

Install specific skill from multi-skill repository

# Description

Retrieve keyword metrics and trends using DataForSEO Keywords Data for "keyword research", "search volume", and "ad planning".

# SKILL.md


name: dataforseo-keywords-data-api
description: Retrieve keyword metrics and trends using DataForSEO Keywords Data for "keyword research", "search volume", and "ad planning".
license: MIT
metadata:
author: Leonardo Picciani
author_url: https://github.com/leonardo-picciani
project: DataForSEO Agent Skills (Experimental)
generated_with: OpenCode (agent runtime); OpenAI GPT-5.2
version: 0.1.0
experimental: 'true'
docs: https://docs.dataforseo.com/v3/keywords_data/overview/
compatibility: Language-agnostic HTTP integration skill. Requires outbound network access to api.dataforseo.com and docs.dataforseo.com; uses HTTP Basic Auth.


DataForSEO Keywords Data API

Provenance

This is an experimental project to test how OpenCode, plugged into frontier LLMs (OpenAI GPT-5.2), can help generate high-fidelity agent skill files for API integrations.

When to Apply

  • "get search volume", "keyword research", "keyword metrics"
  • "CPC", "competition", "ad traffic", "paid search planning"
  • "Google Trends", "seasonality", "rising queries"
  • "clickstream", "market sizing", "global search volume"

Integration Contract (Language-Agnostic)

See references/REFERENCE.md for the shared DataForSEO integration contract (auth, status handling, task lifecycle, sandbox, and .ai responses).

Group Notes

  • Many keyword endpoints support both Live and Task-based flows; task-based is often used for bulk/scheduled jobs.

Steps

1) Identify the exact endpoint(s) in the official docs for this use case.
2) Choose execution mode:
- Live (single request) for interactive queries
- Task-based (post + poll/webhook) for scheduled or high-volume jobs
3) Build the HTTP request:
- Base URL: https://api.dataforseo.com/
- Auth: HTTP Basic (Authorization: Basic base64(login:password)) from https://docs.dataforseo.com/v3/auth/
- JSON body exactly as specified in the endpoint docs
4) Execute and validate the response:
- Check top-level status_code and each tasks[] item status
- Treat any status_code != 20000 as a failure; surface status_message
5) For task-based endpoints:
- Store tasks[].id
- Poll tasks_ready then fetch results with task_get (or use postback_url/pingback_url if supported)
6) Return results:
- Provide a normalized summary for the user
- Include the raw response payload for debugging

Inputs Checklist

  • Credentials: DataForSEO API login + password (HTTP Basic Auth)
  • Target: keyword(s) / domain(s) / URL(s) / query string (depends on endpoint)
  • Targeting (if applicable): location + language, device, depth/limit
  • Time window (if applicable): date range, trend period, historical flags
  • Output preference: regular vs advanced vs html (if the endpoint supports it)

Example (cURL)

curl -u "${DATAFORSEO_LOGIN}:${DATAFORSEO_PASSWORD}"   -H "Content-Type: application/json"   -X POST "https://api.dataforseo.com/v3/<group>/<path>/live"   -d '[
    {
      "<param>": "<value>"
    }
  ]'

Notes:
- Replace <group>/<path> with the exact endpoint path from the official docs.
- For task-based flows, use the corresponding task_post, tasks_ready, and task_get endpoints.

Docs Map (Official)

  • Overview: https://docs.dataforseo.com/v3/keywords_data/overview/

Representative endpoints:

  • Google Ads Search Volume (Live): https://docs.dataforseo.com/v3/keywords_data/google_ads/search_volume/live/
  • Google Ads Search Volume (Task POST): https://docs.dataforseo.com/v3/keywords_data/google_ads/search_volume/task_post/
  • Google Trends Explore (Live): https://docs.dataforseo.com/v3/keywords_data/google_trends/explore/live/
  • Clickstream Data Overview: https://docs.dataforseo.com/v3/keywords_data/clickstream_data/overview/

Business & Product Use Cases

  • Power a keyword research product (seed -> expand -> prioritize -> export).
  • Support paid search planning (market size, seasonality, geo targeting).
  • Build topic clustering for content strategy (group by demand and intent).
  • Forecast traffic potential for new pages/features (SEO business cases).
  • Identify new markets by comparing geo/language demand patterns.
  • Provide client-facing keyword reports for agencies and consultants.

Examples (User Prompts)

  • "If you don't have the skill installed, install dataforseo-keywords-data-api and then continue."
  • "Install the Keywords Data skill and get search volume for this list of keywords in Canada (EN)."
  • "Generate keyword ideas from this seed topic and cluster them with a priority score."
  • "Show seasonality for 'tax filing software' and recommend publishing months."
  • "Use clickstream data to estimate market size for these topics globally vs the US."
  • "Build a simple keyword research workflow: seed -> expand -> filter -> export."

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.