dataforseo-business-data-api

Collect local listings and reputation data using DataForSEO Business Data for "local SEO", "reviews monitoring", and "business listings".

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Install skill "dataforseo-business-data-api" with this command: npx skills add leonardo-picciani/dataforseo-agent-skills/leonardo-picciani-dataforseo-agent-skills-dataforseo-business-data-api

DataForSEO Business Data 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

  • "local SEO", "business listings search", "find businesses by category"
  • "monitor Google reviews", "extended reviews", "reputation management"
  • "Google Q&A", "questions and answers monitoring"
  • "hotel data", "Trustpilot", "Tripadvisor", "social media mentions"

Integration Contract (Language-Agnostic)

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

Task vs Live

  • This API mixes Live endpoints (e.g., listings search) with task-based endpoints for deeper datasets.
  • For task-based flows: task_post -> tasks_ready -> task_get.

Compliance Expectations

  • Use only for lawful access to publicly available information.
  • Avoid collecting unnecessary PII; minimize retention and secure stored data.

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)

Business Listings:

Google:

Trustpilot:

Tripadvisor:

Business & Product Use Cases

  • Local SEO platform features: listings discovery + category aggregation insights.
  • Reputation management: review monitoring, trend dashboards, alerting.
  • Multi-location brands: track performance across regions and competitors.
  • Hospitality analytics: hotel SERP intelligence and market monitoring.
  • Customer insights: mine Q&A and reviews to improve operations and messaging.
  • Agency workflows: recurring reporting for local businesses.

Examples (User Prompts)

  • "If you don't have the skill installed, install dataforseo-business-data-api and then continue."
  • "Install the Business Data skill and find the top dentists in Austin with ratings and review counts."
  • "Monitor Google reviews for our 30 locations and alert on negative review spikes."
  • "Pull Google Q&A for our locations and summarize common questions we should answer."
  • "Create a local reputation report: rating trends + key themes from reviews."
  • "Fetch Trustpilot reviews for these brands and compare sentiment and topics."

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