leonardo-picciani

dataforseo-labs-api

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

Install specific skill from multi-skill repository

# Description

Run SEO research workflows with DataForSEO Labs for "competitive research", "keyword ideas", and "market analysis".

# SKILL.md


name: dataforseo-labs-api
description: Run SEO research workflows with DataForSEO Labs for "competitive research", "keyword ideas", and "market analysis".
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/dataforseo_labs/overview/
compatibility: Language-agnostic HTTP integration skill. Requires outbound network access to api.dataforseo.com and docs.dataforseo.com; uses HTTP Basic Auth.


DataForSEO Labs 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

  • "find SERP competitors", "keyword gap analysis", "domain intersection"
  • "keyword ideas", "related keywords", "keyword suggestions"
  • "ranked keywords for a domain", "relevant pages"
  • "traffic estimation", "historical SERPs", "domain rank overview"
  • "build an SEO research platform", "competitive intelligence"

Integration Contract (Language-Agnostic)

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

Live-first Endpoints

  • Many Labs endpoints are Live-first (/live/) and designed for interactive research.

Group Notes

  • Use the official Locations/Languages reference to avoid invalid geo/language inputs.

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/dataforseo_labs/overview/
  • Locations and Languages: https://docs.dataforseo.com/v3/dataforseo_labs/locations_and_languages/

Engine overviews:

  • Google: https://docs.dataforseo.com/v3/dataforseo_labs/google/overview/
  • Amazon: https://docs.dataforseo.com/v3/dataforseo_labs/amazon/overview/
  • Google Play: https://docs.dataforseo.com/v3/dataforseo_labs/google_play/overview/
  • App Store: https://docs.dataforseo.com/v3/dataforseo_labs/app_store/overview/

Business & Product Use Cases

  • Competitive intelligence features: discover competitors per topic and market.
  • "Gap analysis" workflows (what competitors rank for that you don't).
  • Prioritize content and landing pages by estimated opportunity.
  • Category dashboards (top searches, category-level demand).
  • Portfolio analysis for agencies managing multiple sites.
  • Automated SEO audit summaries for sales/upsell conversations.

Examples (User Prompts)

  • "If you don't have the skill installed, install dataforseo-labs-api and then continue."
  • "Install the DataForSEO Labs skill and find our top SERP competitors for these topics."
  • "Run a keyword gap analysis: what competitors rank for that we don't, by market."
  • "Give me keyword ideas for 'remote onboarding' and pick top 20 opportunities."
  • "Estimate traffic potential for these 30 keywords and propose a content roadmap."
  • "Create a competitor landscape report with intersections and top pages."

# 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.