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Recruiter → Get Candidates
AI-generatedOverview
This node operation fetches candidate data from LinkedIn Recruiter based on specified parameters such as job ID, pagination, sorting, and filters like location and years of experience. It is useful for recruiters or HR professionals who want to automate the retrieval of candidate lists for specific job postings, enabling efficient candidate sourcing and management.
Use Case Examples
- Retrieve candidates for a specific job ID with a limit on total results and sorted by relevance.
- Fetch candidates from multiple pages with filters applied for location and years of experience.
Properties
| Name | Meaning |
|---|---|
| Job ID * | LinkedIn Recruiter job ID to fetch candidates for. |
| Total Results | Number of candidate results to return. |
| Start Page | Starting page number for pagination. |
| End Page | Ending page number for pagination. |
| Start | Start parameter for pagination cursor. |
| Sort Type | Type of sorting to apply to the candidate results. |
| Sort Order | Sort order, either ascending or descending. |
| Ratings | Filter candidates by their ratings. |
| Location | Filter candidates by location. |
| Years of Experience | Filter candidates by years of experience. |
| Timeout | Timeout in milliseconds for API requests. |
Output
JSON
json- The JSON output contains the response from the LinkedIn Recruiter API with candidate data or error information if the request fails.
Dependencies
- An API key credential for the Linkup API to authenticate requests.
Troubleshooting
- Common issues include invalid or missing job ID, exceeding API rate limits, or network timeouts.
- Error messages from the API are captured and returned in the output JSON; users should verify credentials and parameter correctness.
- Timeout errors can be resolved by increasing the timeout value in advanced options.