dataforseo-backlinks-api

DataForSEO Backlinks API

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Install skill "dataforseo-backlinks-api" with this command: npx skills add manojbajaj95/gtm-skills/manojbajaj95-gtm-skills-dataforseo-backlinks-api

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

  • Identify the exact endpoint(s) in the official docs for this use case.

  • Choose execution mode:

  • Live (single request) for interactive queries

  • Task-based (post + poll/webhook) for scheduled or high-volume jobs

  • 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

  • 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

  • For task-based endpoints:

  • Store tasks[].id

  • Poll tasks_ready then fetch results with task_get (or use postback_url /pingback_url if supported)

  • 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/&#x3C;group>/&#x3C;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."

Source Transparency

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