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."