Render LinkedIn Sentiment Report
curl --request POST \
--url https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"posts_json": "{{linkedin_posts}}",
"output_variable_name": "sentiment_report_html",
"sentiments": "<string>",
"report_title": "LinkedIn Post Sentiment Analysis"
}
'import requests
url = "https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html"
payload = {
"posts_json": "{{linkedin_posts}}",
"output_variable_name": "sentiment_report_html",
"sentiments": "<string>",
"report_title": "LinkedIn Post Sentiment Analysis"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
posts_json: '{{linkedin_posts}}',
output_variable_name: 'sentiment_report_html',
sentiments: '<string>',
report_title: 'LinkedIn Post Sentiment Analysis'
})
};
fetch('https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'posts_json' => '{{linkedin_posts}}',
'output_variable_name' => 'sentiment_report_html',
'sentiments' => '<string>',
'report_title' => 'LinkedIn Post Sentiment Analysis'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html"
payload := strings.NewReader("{\n \"posts_json\": \"{{linkedin_posts}}\",\n \"output_variable_name\": \"sentiment_report_html\",\n \"sentiments\": \"<string>\",\n \"report_title\": \"LinkedIn Post Sentiment Analysis\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"posts_json\": \"{{linkedin_posts}}\",\n \"output_variable_name\": \"sentiment_report_html\",\n \"sentiments\": \"<string>\",\n \"report_title\": \"LinkedIn Post Sentiment Analysis\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"posts_json\": \"{{linkedin_posts}}\",\n \"output_variable_name\": \"sentiment_report_html\",\n \"sentiments\": \"<string>\",\n \"report_title\": \"LinkedIn Post Sentiment Analysis\"\n}"
response = http.request(request)
puts response.read_body{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}Integration Intelligence
Render LinkedIn Sentiment Report
Renders a polished HTML sentiment report from LinkedIn post data. No LLM required — uses Jinja2 templates for fast, deterministic rendering with sentiment badges, engagement stats, and author cards.
POST
/
action
/
linkedin_sentiment_render_report_html
Render LinkedIn Sentiment Report
curl --request POST \
--url https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"posts_json": "{{linkedin_posts}}",
"output_variable_name": "sentiment_report_html",
"sentiments": "<string>",
"report_title": "LinkedIn Post Sentiment Analysis"
}
'import requests
url = "https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html"
payload = {
"posts_json": "{{linkedin_posts}}",
"output_variable_name": "sentiment_report_html",
"sentiments": "<string>",
"report_title": "LinkedIn Post Sentiment Analysis"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
posts_json: '{{linkedin_posts}}',
output_variable_name: 'sentiment_report_html',
sentiments: '<string>',
report_title: 'LinkedIn Post Sentiment Analysis'
})
};
fetch('https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'posts_json' => '{{linkedin_posts}}',
'output_variable_name' => 'sentiment_report_html',
'sentiments' => '<string>',
'report_title' => 'LinkedIn Post Sentiment Analysis'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html"
payload := strings.NewReader("{\n \"posts_json\": \"{{linkedin_posts}}\",\n \"output_variable_name\": \"sentiment_report_html\",\n \"sentiments\": \"<string>\",\n \"report_title\": \"LinkedIn Post Sentiment Analysis\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"posts_json\": \"{{linkedin_posts}}\",\n \"output_variable_name\": \"sentiment_report_html\",\n \"sentiments\": \"<string>\",\n \"report_title\": \"LinkedIn Post Sentiment Analysis\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-lr.agent.ai/v1/action/linkedin_sentiment_render_report_html")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"posts_json\": \"{{linkedin_posts}}\",\n \"output_variable_name\": \"sentiment_report_html\",\n \"sentiments\": \"<string>\",\n \"report_title\": \"LinkedIn Post Sentiment Analysis\"\n}"
response = http.request(request)
puts response.read_body{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}Authorizations
Bearer token from your account (https://agent.ai/user/integrations#api)
Body
application/json
JSON array of LinkedIn post objects (from the Search LinkedIn Posts action output), or a variable reference like {{linkedin_posts}}.
Variable name to store the rendered HTML report.
Pattern:
^[a-zA-Z][a-zA-Z0-9_]*$Optional JSON object mapping postId to sentiment label (e.g. {"postId123": "Positive"}). If omitted, sentiment is auto-classified from post content.
Title displayed at the top of the report.
⌘I

