dataforseo-backlinks-api（dataforseo backlinks API 搜索）

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

1. 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

1. 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

1. For task-based endpoints:

- Store tasks[].id - Poll tasks_ready then fetch results with task_get (or use postback_url/pingback_url if supported)

1. 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."