Profile APIs
Profile Data & Recommendations
GET
/all-profile-data$0.009/calljson responserest · mcp
01// about this endpoint
Get a profile's data along with recommendations they've received and given. Recommendations are social proof of professional competence — they reveal peer validation of skills, collaboration quality, and professional reputation.
02// code samples
Call it over REST
Authenticate with a bearer token against https://api.superagnt.com. Swap the placeholders for your key and parameter values.
curlbash
curl -s "https://api.superagnt.com/all-profile-data?username=<username>" \
-H "Authorization: Bearer <YOUR_AGNTDATA_API_KEY>"03// give it to your agent
Copy-paste prompt
Paste this into a coding agent. It connects the superagnt MCP server, finds the tool data_linkedin_profile_data_recommendations, and runs a first call — with the REST fallback if MCP is unavailable.
agent prompttext
You are wiring up the superagnt "LinkedIn" API to use this endpoint: Profile Data & Recommendations.
1. CONNECT over MCP (preferred). No token to paste either way.
On Claude (claude.ai, the desktop app, or Claude Code signed in with a Claude
account), the server is a connector: give the user this link, they click Add
and approve:
https://claude.ai/customize/connectors/yours?modal=add-custom-connector&connectorName=superagnt&connectorUrl=https%3A%2F%2Fmcp.superagnt.com%2Fmcp&open_in_browser=1
Any other MCP client (or Claude Code signed in with an API key): add the server
and let the client run the browser sign-in:
claude mcp add --scope user --transport http superagnt https://mcp.superagnt.com/mcp
claude mcp login superagnt
MCP endpoint: https://mcp.superagnt.com/mcp
After connecting, the tool you want is named exactly:
data_linkedin_profile_data_recommendations
Call agnt_tools_search or agnt_tools_list_enabled to confirm it is available.
2. REST fallback (if you are not using MCP):
GET https://api.superagnt.com/all-profile-data
Header: Authorization: Bearer <YOUR_AGNTDATA_API_KEY>
Required parameters:
- username (string, required)
Optional parameters:
- (none)
3. COST & KEY. Each successful call costs $0.009 in credits. Only successful calls are charged.
Get a superagnt API key at https://app.superagnt.com.
4. TEST. Connect the server (or set the key), discover the tool
(data_linkedin_profile_data_recommendations), run one minimal call with just the required parameters,
and report back the shape of the JSON response (top-level fields).
Reference (machine-readable variant): https://www.superagnt.com/docs/apis/social/linkedin/endpoints/Profile_Data___Recommendations.mdmcp tool definitionjson
{
"name": "profile_data_recommendations",
"description": "Get Profile Data, Given and Received Recommendations. **2 credits per call**",
"parameters": {
"type": "object",
"properties": {
"username": {
"type": "string",
"description": "query parameter",
"default": "ryanroslansky"
}
},
"required": [
"username"
]
}
}04// parameters
| Name | In | Type | Required | Description |
|---|---|---|---|---|
username | query | string | required |
05// responses
OK
200json
{
"type": "object",
"properties": {
"success": {
"type": "boolean"
},
"message": {
"type": "string"
},
"data": {
"type": "object",
"properties": {
"urn": {
"type": "string"
},
"username": {
"type": "string"
},
"firstName": {
"type": "string"
},
"lastName": {
"type": "string"
},
"isCreator": {
"type": "boolean"
},
"isOpenToWork": {
"type": "boolean"
},
"isHiring": {
"type": "boolean"
},
"profilePicture": {
"type": "string"
},
"backgroundImage": {
"type": "array",
"items": {
"type": "object",
"properties": {
"width": {
"type": "integer"
},
"height": {
"type": "integer"
},
"url": {
"type": "string"
}
}
}
},
"summary": {
"type": "string"
},
"headline": {
"type": "string"
},
"geo": {
"type": "object",
"properties": {
"country": {
"type": "string"
},
"city": {
"type": "string"
},
"full": {
"type": "string"
}
}
},
"languages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"proficiency": {
"type": "string"
}
}
}
},
"educations": {
"type": "null"
},
"position": {
"type": "array",
"items": {
"type": "object",
"properties": {
"companyId": {
"type": "integer"
},
"companyName": {
"type": "string"
},
"companyUsername": {
"type": "string"
},
"companyURL": {
"type": "string"
},
"companyLogo": {
"type": "string"
},
"companyIndustry": {
"type": "string"
},
"companyStaffCountRange": {
"type": "string"
},
"title": {
"type": "string"
},
"multiLocaleTitle": {
"type": "object",
"properties": {
"en_US": {
"type": "string"
}
}
},
"multiLocaleCompanyName": {
"type": "object",
"properties": {
"en_US": {
"type": "string"
}
}
},
"location": {
"type": "string"
},
"description": {
"type": "string"
},
"employmentType": {
"type": "string"
},
"start": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "integer"
},
"day": {
"type": "integer"
}
}
},
"end": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "integer"
},
"day": {
"type": "integer"
}
}
}
}
}
},
"fullPositions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"companyId": {
"type": "integer"
},
"companyName": {
"type": "string"
},
"companyUsername": {
"type": "string"
},
"companyURL": {
"type": "string"
},
"companyLogo": {
"type": "string"
},
"companyIndustry": {
"type": "string"
},
"companyStaffCountRange": {
"type": "string"
},
"title": {
"type": "string"
},
"multiLocaleTitle": {
"type": "object",
"properties": {
"en_US": {
"type": "string"
}
}
},
"multiLocaleCompanyName": {
"type": "object",
"properties": {
"en_US": {
"type": "string"
}
}
},
"location": {
"type": "string"
},
"description": {
"type": "string"
},
"employmentType": {
"type": "string"
},
"start": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "integer"
},
"day": {
"type": "integer"
}
}
},
"end": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "integer"
},
"day": {
"type": "integer"
}
}
}
}
}
},
"skills": {
"type": "array",
"items": {
"type": "object"
}
},
"givenRecommendation": {
"type": "array",
"items": {
"type": "object",
"properties": {
"text": {
"type": "string"
},
"created": {
"type": "integer"
},
"lastModified": {
"type": "integer"
},
"relationship": {
"type": "string"
},
"recommendee": {
"type": "object"
}
}
}
},
"givenRecommendationCount": {
"type": "integer"
},
"receivedRecommendation": {
"type": "array",
"items": {
"type": "object",
"properties": {
"text": {
"type": "string"
},
"created": {
"type": "integer"
},
"lastModified": {
"type": "integer"
},
"relationship": {
"type": "string"
},
"recommender": {
"type": "object",
"properties": {
"firstName": {
"type": "string"
},
"lastName": {
"type": "string"
},
"occupation": {
"type": "string"
},
"username": {
"type": "string"
},
"profilePictures": {
"type": "array",
"items": {
"type": "object",
"properties": {
"width": {
"type": "integer"
},
"height": {
"type": "integer"
},
"url": {
"type": "string"
}
}
}
}
}
}
}
}
},
"receivedRecommendationCount": {
"type": "integer"
},
"courses": {
"type": "null"
},
"certifications": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"start": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "integer"
},
"day": {
"type": "integer"
}
}
},
"end": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "integer"
},
"day": {
"type": "integer"
}
}
},
"authority": {
"type": "string"
},
"company": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"universalName": {
"type": "string"
},
"logo": {
"type": "string"
},
"staffCountRange": {
"type": "object"
},
"headquarter": {
"type": "object"
}
}
},
"timePeriod": {
"type": "object",
"properties": {
"start": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "integer"
},
"day": {
"type": "integer"
}
}
},
"end": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "integer"
},
"day": {
"type": "integer"
}
}
}
}
}
}
}
},
"honors": {
"type": "null"
},
"projects": {
"type": "object",
"properties": {
"total": {
"type": "integer"
},
"items": {
"type": "null"
}
}
},
"volunteering": {
"type": "null"
},
"supportedLocales": {
"type": "array",
"items": {
"type": "object",
"properties": {
"country": {
"type": "string"
},
"language": {
"type": "string"
}
}
}
},
"multiLocaleFirstName": {
"type": "object",
"properties": {
"en": {
"type": "string"
}
}
},
"multiLocaleLastName": {
"type": "object",
"properties": {
"en": {
"type": "string"
}
}
},
"multiLocaleHeadline": {
"type": "object",
"properties": {
"en": {
"type": "string"
}
}
}
}
}
}
}06// pricing
$0.009per successful request
Credits are deducted from your superagnt balance on each successful call. Failed requests (4xx/5xx) are not charged.
Get started at app.superagnt.com.
08// more from LinkedIn
GETGet Company By Domain/get-company-by-domainGETGet Company Details by ID/get-company-details-by-idGETGet Company Details/get-company-detailsPOSTGet Profile School Interests/profiles/interests/schoolsPOSTGet Profile Newsletter Interests/profiles/interests/newslettersGETGet Similar Profiles/similar-profiles
start calling
Point your client at https://mcp.superagnt.com/mcp and your agent has this endpoint, plus every other source on one balance.
LinkedIn recommendations APIprofessional endorsements datapeer validation APILinkedIn APILinkedIn data APILinkedIn scraper API