dataforseo-labs-api

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.

• "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"

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.

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

• 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)

```bash

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

{

"": ""

}

]'

```

Notes:

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

• 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/

• 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.

• "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."