leonardo-picciani

dataforseo-backlinks-api

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

Install specific skill from multi-skill repository

# Description

Retrieve backlink profiles and bulk link metrics using DataForSEO Backlinks for "backlink audit", "referring domains", and "link monitoring".

# SKILL.md


name: dataforseo-backlinks-api
description: Retrieve backlink profiles and bulk link metrics using DataForSEO Backlinks for "backlink audit", "referring domains", and "link monitoring".
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/backlinks/overview/
compatibility: Language-agnostic HTTP integration skill. Requires outbound network access to api.dataforseo.com and docs.dataforseo.com; uses HTTP Basic Auth.


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)

See references/REFERENCE.md for the shared DataForSEO integration contract (auth, status handling, task lifecycle, sandbox, and .ai responses).

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.

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/backlinks/overview/
  • Index: https://docs.dataforseo.com/v3/backlinks/index/

Core endpoints:

  • Summary (Live): https://docs.dataforseo.com/v3/backlinks/summary/live/
  • Backlinks (Live): https://docs.dataforseo.com/v3/backlinks/backlinks/live/
  • Referring Domains (Live): https://docs.dataforseo.com/v3/backlinks/referring_domains/live/

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."

# 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.