Profile APIs
Get Profile Reactions
GET
/get-profile-likespriced per 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.agntdata.dev. Swap the placeholders for your key and parameter values.
curlbash
curl -s "https://api.agntdata.dev/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 agntdata "LinkedIn" API to use this endpoint: Get Profile Reactions.
1. CONNECT over MCP (preferred). Add the superagnt MCP server, then let the client
run OAuth on first tool call — no token to paste:
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.agntdata.dev/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. This endpoint is priced per call in credits, and each successful response reports its own cost in its meta.costCents field. Only successful calls are charged.
Get an agntdata API key at https://app.agntdata.dev.
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://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
priced per call
This endpoint is priced per call and deducted from your agntdata balance; only a successful call is billed. Every billable response reports its own cost in meta.costCents.
Get a key at app.agntdata.dev.
07// related endpoints
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