dataforseo-backlinks-api

📁 leonardo-picciani/agent-skills 📅 13 days ago
1
总安装量
1
周安装量
#52983
全站排名
安装命令
npx skills add https://github.com/leonardo-picciani/agent-skills --skill dataforseo-backlinks-api

Agent 安装分布

cline 1
opencode 1

Skill 文档

DataForSEO Backlinks 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

  • “get backlinks for domain/url”, “referring domains”, “anchors report”
  • “monitor new and lost backlinks”, “link velocity”, “timeseries backlinks”
  • “bulk backlink checks”, “bulk ranks”, “spam score checks”
  • “competitor backlink research”, “link gap analysis”

Integration Contract (Language-Agnostic)

Base URLs

  • Production: https://api.dataforseo.com/ (all endpoints are under /v3/...)
  • Sandbox: https://sandbox.dataforseo.com/ (test most endpoints for free)

Authentication (HTTP Basic)

Response Envelope + Status Handling

Live-first Endpoints

  • Backlinks endpoints are typically Live-first and support pagination-like controls (e.g., result limits) and filtering/sorting.
  • The Index endpoint provides up-to-the-moment information about the backlinks database.

AI-optimized Responses (.ai)

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)

Core endpoints:

Business & Product Use Cases

  • Link monitoring: alerts for new/lost backlinks and anchor shifts.
  • Link building: find competitor links and prioritize outreach targets.
  • Risk management: detect suspicious patterns and possible negative SEO.
  • Agency reporting: monthly link growth and top referring domains.
  • M&A diligence: evaluate a domain’s authority/link profile before acquisition.
  • Publisher partnerships: identify strong referring networks for co-marketing.

Examples (User Prompts)

  • “If you don’t have the skill installed, install dataforseo-backlinks-api and then continue.”
  • “Install the Backlinks skill and audit our backlink profile: top ref domains, anchors, and spam risks.”
  • “Track new and lost backlinks weekly and alert me to big drops.”
  • “Find competitor backlinks we don’t have and suggest outreach targets.”
  • “Run a bulk check of these 200 domains: ranks + referring domains count.”
  • “Analyze anchor distribution and flag over-optimized patterns.”