Profile APIs
Get Profile Reactions
GET
/get-profile-likes$0.009/calljson responserest · mcp
01// about this endpoint
See what content a LinkedIn user has reacted to (likes, celebrates, etc.). Reaction data reveals professional interests and content consumption patterns — powerful signal data for personalization engines and interest-based targeting.
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/get-profile-likes?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_get_profile_reactions, 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: Get Profile Reactions.
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_get_profile_reactions
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/get-profile-likes
Header: Authorization: Bearer <YOUR_AGNTDATA_API_KEY>
Required parameters:
- username (string, required)
Optional parameters:
- paginationToken (string, optional) — It is required when fetching the next results page. The token from the previous call must be used.
- start (string, optional) — for pagination, increase +100 to parse next result until you see less than 100 results. it could be one of these; 0, 100, 200, 300, 400, etc.
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_get_profile_reactions), 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/Get_Profile_Reactions.mdmcp tool definitionjson
{
"name": "get_profile_reactions",
"description": "Find out what posts a profile reacted to",
"parameters": {
"type": "object",
"properties": {
"paginationToken": {
"type": "string",
"description": "It is required when fetching the next results page. The token from the previous call must be used."
},
"username": {
"type": "string",
"description": "query parameter",
"default": "adamselipsky"
},
"start": {
"type": "string",
"description": "for pagination, increase +100 to parse next result until you see less than 100 results.\nit could be one of these; 0, 100, 200, 300, 400, etc.",
"default": "0"
}
},
"required": [
"username"
]
}
}04// parameters
| Name | In | Type | Required | Description |
|---|---|---|---|---|
paginationToken | query | string | optional | It is required when fetching the next results page. The token from the previous call must be used. |
username | query | string | required | |
start | query | string | optional | for pagination, increase +100 to parse next result until you see less than 100 results. it could be one of these; 0, 100, 200, 300, 400, etc. |
05// responses
200
200json
{
"type": "object",
"properties": {
"urn": {
"type": "string"
},
"username": {
"type": "string"
},
"firstName": {
"type": "string"
},
"lastName": {
"type": "string"
},
"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": "array",
"items": {
"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"
}
}
},
"fieldOfStudy": {
"type": "string"
},
"degree": {
"type": "string"
},
"grade": {
"type": "string"
},
"schoolName": {
"type": "string"
},
"description": {
"type": "string"
},
"activities": {
"type": "string"
},
"url": {
"type": "string"
},
"schoolId": {
"type": "string"
}
}
}
},
"position": {
"type": "array",
"items": {
"type": "object",
"properties": {
"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": {
"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": "null"
},
"givenRecommendationCount": {
"type": "integer"
},
"receivedRecommendation": {
"type": "null"
},
"receivedRecommendationCount": {
"type": "integer"
},
"courses": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"number": {
"type": "string"
}
}
}
},
"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": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"description": {
"type": "string"
},
"issuer": {
"type": "string"
},
"issuerLogo": {
"type": "string"
},
"issuedOn": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "integer"
},
"day": {
"type": "integer"
}
}
}
}
}
},
"projects": {
"type": "object",
"properties": {
"total": {
"type": "integer"
},
"items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"description": {
"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"
}
}
},
"contributors": {
"type": "array",
"items": {
"type": "object",
"properties": {
"urn": {
"type": "string"
},
"username": {
"type": "string"
},
"fullName": {
"type": "string"
},
"firstName": {
"type": "string"
},
"lastName": {
"type": "string"
},
"profilePicture": {
"type": "array",
"items": {
"type": "object",
"properties": {
"width": {
"type": "integer"
},
"height": {
"type": "integer"
},
"url": {
"type": "string"
}
}
}
},
"headline": {
"type": "string"
},
"url": {
"type": "string"
}
}
}
}
}
}
}
}
},
"volunteering": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"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"
}
}
},
"companyName": {
"type": "string"
},
"CompanyId": {
"type": "string"
},
"companyUrl": {
"type": "string"
},
"companyLogo": {
"type": "string"
}
}
}
},
"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 reactions APIuser reaction dataprofessional interest signalsLinkedIn APILinkedIn data APILinkedIn scraper API