dataforseo-business-data-api
1
总安装量
1
周安装量
#51088
全站排名
安装命令
npx skills add https://github.com/leonardo-picciani/dataforseo-agent-skills --skill dataforseo-business-data-api
Agent 安装分布
mcpjam
1
claude-code
1
replit
1
zencoder
1
crush
1
Skill 文档
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
- 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
- Base URL:
- Execute and validate the response:
- Check top-level
status_codeand eachtasks[]item status - Treat any
status_code != 20000as a failure; surfacestatus_message
- Check top-level
- For task-based endpoints:
- Store
tasks[].id - Poll
tasks_readythen fetch results withtask_get(or usepostback_url/pingback_urlif supported)
- Store
- 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, andtask_getendpoints.
Docs Map (Official)
Business Listings:
Google:
- Overview: https://docs.dataforseo.com/v3/business_data/google/overview/
- Reviews Task POST: https://docs.dataforseo.com/v3/business_data/google/reviews/task_post/
- Questions and Answers (Live): https://docs.dataforseo.com/v3/business_data/google/questions_and_answers/live/
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-apiand 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.”