API reference · LinkedIn

linkedin/bulk/profile-search-by-name

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

APIAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDlinkedin/bulk/profile-search-by-name

Input Schema

12 parameters · 1 required · 11 optional

Parameter	Type	Required	Description
`profileScraperMode`	string	Required	Choose the mode for scraping LinkedIn profiles. The Short mode provides basic information, while the Full mode includes full detailed profile data. · Options: Short, Full, Full + email search ShortFullFull + email search
`schools`	array	Optional	Filter Profiles by these LinkedIn schools. Example: `Stanford University`.
`lastName`	string	Optional	Last name of the person to search for.
`maxItems`	integer	Optional	Maximum number of profiles to scrape. The actor will stop scraping when this limit is reached. · Min: -9007199254740991 · Max: 9007199254740991
`maxPages`	integer	Optional	Maximum number of pages to scrape for each query. The actor will stop scraping when this limit is reached. · Min: 1 · Max: 100
`firstName`	string	Optional	First name of the person to search for.
`locations`	array	Optional	Filter Profiles by these LinkedIn locations. Example: `San Francisco`. LinkedIn does not always understand your text queries. For example for "UK" query it will apply "Ukraine" location, so you should use "United Kingdom" in this case. Try this out first in the location filter input of LinkedIn search at `https://www.linkedin.com/search/results/people/?geoUrn=%5B%22103644278%22%5D` - we will use the first suggestion from the autocomplete popup when you type your location
`industryIds`	array	Optional	Filter Profiles by these LinkedIn industry IDs. Example: `4` for 'Software Development'. Full list: `https://github.com/HarvestAPI/linkedin-industry-codes-v2/blob/main/linkedin_industry_code_v2_all_eng_with_header.csv`
`strictSearch`	boolean	Optional	Enabling strict search will ensure that only profiles matching both the first and last names exactly are returned. · Default: true
`pastCompanies`	array	Optional	Filter Profiles by these LinkedIn past companies. Provide full LinkedIn URLs
`currentCompanies`	array	Optional	Filter Profiles by these LinkedIn companies. Provide full LinkedIn URLs
`currentJobTitles`	array	Optional	Filter Profiles by these LinkedIn current job titles. Example: `Software Engineer`.

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "linkedin/bulk/profile-search-by-name",
  "strictSearch": true,
  "prompt": "a beautiful sunset over mountains"
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

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