Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Run Dievio lead search and LinkedIn lookup workflows through the public API with correct authentication, filters, pagination, and credit-aware handling. Use...
Run Dievio lead search and LinkedIn lookup workflows through the public API with correct authentication, filters, pagination, and credit-aware handling. Use...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Use this skill for end-to-end Dievio API execution: authenticate requests, submit lead searches, enrich LinkedIn profiles, and paginate results. Prefer the bundled script for deterministic request formatting and response handling.
Public lead search: POST https://dievio.com/api/public/search LinkedIn lookup: POST https://dievio.com/api/linkedin/lookup Authentication headers (use one): Authorization: Bearer YOUR_API_KEY X-API-Key: YOUR_API_KEY
Validate credentials: Require DIEVIO_API_KEY for API-key flows. Never print raw secrets. Build request body: Search endpoint uses pagination keys (_page, _per_page, max_results) plus filters. LinkedIn lookup requires linkedinUrls and optional output flags. Execute request and parse response: Validate success, count, has_more, next_page, data arrays. Respect credit behavior: low credits can return fewer rows than requested. Handle errors: 401: missing/invalid credentials 402: insufficient credits 502: upstream lead service issue 500: server error
Show help: python3 scripts/dievio_api.py --help Search with JSON body: export DIEVIO_API_KEY="your_api_key" python3 scripts/dievio_api.py search \ --body-file ./search_body.json \ --auto-paginate By default the CLI prints a safe summary. Use --raw-output only when you explicitly need full rows (which may contain emails/phones). LinkedIn lookup from URLs: python3 scripts/dievio_api.py linkedin-lookup \ --linkedin-url "https://www.linkedin.com/in/example-1" \ --linkedin-url "https://www.linkedin.com/in/example-2" \ --include-work-emails \ --include-personal-emails \ --only-with-emails
Use search when query is filter-based lead discovery. Use linkedin-lookup when input is explicit LinkedIn profile URLs. For large pulls, enable pagination and stop on has_more=false. Keep outputs structured and include paging fields for traceability. If user asks for exact filter values, read references/filters-cheatsheet.md.
API contracts: references/api-reference.md Filter fields and allowed values: references/filters-cheatsheet.md Pagination behavior: references/pagination.md Error handling guidance: references/errors.md
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