leonardo-picciani

dataforseo-domain-analytics-api

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

Install specific skill from multi-skill repository

# Description

Enrich and analyze domains with DataForSEO Domain Analytics for "tech stack detection", "domain research", and "lead enrichment".

# SKILL.md


name: dataforseo-domain-analytics-api
description: Enrich and analyze domains with DataForSEO Domain Analytics for "tech stack detection", "domain research", and "lead enrichment".
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/domain_analytics/overview/
compatibility: Language-agnostic HTTP integration skill. Requires outbound network access to api.dataforseo.com and docs.dataforseo.com; uses HTTP Basic Auth.


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)

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

Technologies:

  • Technologies Overview: https://docs.dataforseo.com/v3/domain_analytics/technologies/overview/
  • Technologies Filters: https://docs.dataforseo.com/v3/domain_analytics/technologies/filters/
  • Technologies Locations: https://docs.dataforseo.com/v3/domain_analytics/technologies/locations/
  • Technologies Languages: https://docs.dataforseo.com/v3/domain_analytics/technologies/languages/

Whois:

  • Whois Overview: https://docs.dataforseo.com/v3/domain_analytics/whois/overview/
  • Whois Filters: https://docs.dataforseo.com/v3/domain_analytics/whois/filters/
  • Whois Overview (Live endpoint doc): https://docs.dataforseo.com/v3/domain_analytics/whois/overview/live/

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."

# 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.