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dataforseo-domain-analytics-api

📁 leonardo-picciani/dataforseo-agent-skills 📅 2 days ago
4
总安装量
2
周安装量
#49917
全站排名
安装命令
npx skills add https://github.com/leonardo-picciani/dataforseo-agent-skills --skill dataforseo-domain-analytics-api

Agent 安装分布

mcpjam 2
claude-code 2
replit 2
zencoder 2
crush 2

Skill 文档

DataForSEO Domain Analytics 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

  • “what tech does this site use”, “detect CMS/frameworks”, “technology footprint”
  • “find domains by technology”, “build a tech-based prospect list”
  • “WHOIS lookup”, “domain ownership signals”, “registrar data”
  • “enrich leads with web tech”, “segment accounts by stack”

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 Usage

  • Domain Analytics is commonly Live-first (no crawl tasks); filters/locations/languages are key.

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)

Technologies:

Whois:

Business & Product Use Cases

  • Sales/BD enrichment: tag prospects by CMS/ecommerce platform/analytics tools.
  • Build a “BuiltWith-style” product experience using DataForSEO datasets.
  • Identify integration opportunities (target sites using a specific platform).
  • Monitor competitor stack changes (replatforming, analytics migrations).
  • Add WHOIS/tech signals to risk scoring and fraud detection.
  • Segment partner programs by stack compatibility.

Examples (User Prompts)

  • “If you don’t have the skill installed, install dataforseo-domain-analytics-api and then continue.”
  • “Install the Domain Analytics skill and detect the tech stack for these 500 domains.”
  • “Find prospects using Shopify in the US and return a ranked list of domains.”
  • “Enrich this lead list with CMS, analytics tools, and hosting signals.”
  • “Run a WHOIS overview for these domains and highlight risky registration patterns.”
  • “Compare our tech stack vs competitor stacks and summarize differences.”
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