LinkedIn Data API
Retrieve LinkedIn employee counts, follower metrics, and job postings. Track workforce growth and company popularity as alternative data signals.
Endpoint
Section titled “Endpoint”GET /v2/linkedin/{symbol}Authentication
Section titled “Authentication”Authenticate using one of the following methods (in order of recommendation):
| Method | Example |
|---|---|
| Bearer token (recommended) | Authorization: Bearer YOUR_API_KEY |
| X-API-Key header | X-API-Key: YOUR_API_KEY |
| Query parameter | ?apiKey=YOUR_API_KEY |
| Legacy query parameter | ?token=YOUR_API_KEY |
Parameters
Section titled “Parameters”Path Parameters
Section titled “Path Parameters”| Parameter | Type | Required | Description |
|---|---|---|---|
symbol | string | Yes | Stock ticker symbol (e.g., AAPL, META) |
Query Parameters
Section titled “Query Parameters”| Parameter | Type | Required | Description |
|---|---|---|---|
startDate | string | No | Start date (YYYY-MM-DD) |
endDate | string | No | End date (YYYY-MM-DD) |
limit | integer | No | Maximum number of data points to return |
Request
Section titled “Request”from finbrain import FinBrainClient
fb = FinBrainClient(api_key="YOUR_API_KEY")
df = fb.linkedin_data.ticker("META", date_from="2025-01-01", date_to="2025-06-30", as_dataframe=True)print(df)curl -H "Authorization: Bearer YOUR_API_KEY" \ "https://api.finbrain.tech/v2/linkedin/META"import requests
url = "https://api.finbrain.tech/v2/linkedin/META"headers = {"Authorization": "Bearer YOUR_API_KEY"}params = {"startDate": "2025-01-01", "endDate": "2026-01-31", "limit": 10}
response = requests.get(url, headers=headers, params=params)data = response.json()
for entry in data["data"]["data"]: print(f"{entry['date']}: {entry['employeeCount']} employees, " f"{entry['followerCount']} followers, jobs: {entry['jobCount']}")#include <iostream>#include <string>#include <curl/curl.h>#include <nlohmann/json.hpp>
using json = nlohmann::json;
size_t WriteCallback(void* contents, size_t size, size_t nmemb, std::string* userp) { userp->append((char*)contents, size * nmemb); return size * nmemb;}
json get_linkedin_data(const std::string& symbol, const std::string& api_key) { CURL* curl = curl_easy_init(); std::string response;
if (curl) { std::string url = "https://api.finbrain.tech/v2/linkedin/" + symbol;
struct curl_slist* headers = nullptr; std::string auth_header = "Authorization: Bearer " + api_key; headers = curl_slist_append(headers, auth_header.c_str());
curl_easy_setopt(curl, CURLOPT_URL, url.c_str()); curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers); curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, WriteCallback); curl_easy_setopt(curl, CURLOPT_WRITEDATA, &response); curl_easy_perform(curl); curl_slist_free_all(headers); curl_easy_cleanup(curl); }
return json::parse(response);}
int main() { auto result = get_linkedin_data("AMZN", "YOUR_API_KEY");
for (auto& entry : result["data"]["data"]) { std::cout << entry["date"].get<std::string>() << ": " << entry["employeeCount"].get<int64_t>() << " employees, " << entry["followerCount"].get<int64_t>() << " followers" << std::endl; }
return 0;}use reqwest::blocking::Client;use serde::Deserialize;use std::error::Error;
#[derive(Debug, Deserialize)]struct LinkedInEntry { date: String, #[serde(rename = "employeeCount")] employee_count: i64, #[serde(rename = "followerCount")] follower_count: i64, #[serde(rename = "jobCount")] job_count: Option<i64>,}
#[derive(Debug, Deserialize)]struct LinkedInInner { symbol: String, name: String, data: Vec<LinkedInEntry>,}
#[derive(Debug, Deserialize)]struct LinkedInResponse { success: bool, data: LinkedInInner,}
fn get_linkedin_data(symbol: &str, api_key: &str) -> Result<LinkedInResponse, Box<dyn Error>> { let url = format!( "https://api.finbrain.tech/v2/linkedin/{}", symbol );
let client = Client::new(); let response: LinkedInResponse = client .get(&url) .header("Authorization", format!("Bearer {}", api_key)) .send()? .json()?;
Ok(response)}
fn main() -> Result<(), Box<dyn Error>> { let result = get_linkedin_data("AMZN", "YOUR_API_KEY")?;
for entry in &result.data.data { println!("{}: {} employees, {} followers, jobs: {:?}", entry.date, entry.employee_count, entry.follower_count, entry.job_count); }
Ok(())}const response = await fetch( "https://api.finbrain.tech/v2/linkedin/META", { headers: { "Authorization": "Bearer YOUR_API_KEY" } });const result = await response.json();
for (const entry of result.data.data) { console.log(`${entry.date}: ${entry.employeeCount} employees, ${entry.followerCount} followers`);}Response
Section titled “Response”Success Response (200 OK)
Section titled “Success Response (200 OK)”{ "success": true, "data": { "symbol": "AAPL", "name": "Apple Inc.", "data": [ { "date": "2026-01-14", "employeeCount": 166090, "followerCount": 18039757, "jobCount": null }, { "date": "2026-01-07", "employeeCount": 165645, "followerCount": 18030998, "jobCount": null } ] }, "meta": { "timestamp": "2026-01-19T15:06:32.503Z" }}Response Fields
Section titled “Response Fields”| Field | Type | Description |
|---|---|---|
success | boolean | Whether the request was successful |
data | object | Response data wrapper |
data.symbol | string | Stock ticker symbol |
data.name | string | Company name |
data.data | array | Array of LinkedIn data points |
meta.timestamp | string | Response timestamp (ISO 8601) |
LinkedIn Object Fields
Section titled “LinkedIn Object Fields”| Field | Type | Description |
|---|---|---|
date | string | Date (YYYY-MM-DD) |
employeeCount | integer | Number of employees on LinkedIn |
followerCount | integer | LinkedIn page followers count |
jobCount | integer/null | Number of open job postings (may be null) |
Interpretation
Section titled “Interpretation”| YoY Growth | Signal |
|---|---|
| Above 20% | Rapid expansion |
| 10-20% | Healthy growth |
| 0-10% | Moderate growth |
| -10-0% | Slight contraction |
| Below -10% | Significant layoffs |
Errors
Section titled “Errors”| Code | Error | Description |
|---|---|---|
| 400 | Bad Request | Invalid symbol |
| 401 | Unauthorized | Invalid or missing API key |
| 403 | Forbidden | Authenticated, but not authorized to access this resource |
| 404 | Not Found | Symbol not found |
| 429 | Too Many Requests | Rate limit exceeded — wait and retry |
| 500 | Internal Server Error | Server-side error |
Related
Section titled “Related”- LinkedIn Metrics Dataset - Use cases and analysis examples
- App Ratings - Mobile app metrics
- Sentiments - News sentiment