Linkedin Posts
curl --request POST \
--url https://api.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich \
--header 'Content-Type: application/json' \
--header 'api_key: <api-key>' \
--data '
{
"prospect_ids": [
"<string>"
],
"request_context": null,
"parameters": {}
}
'import requests
url = "https://api.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich"
payload = {
"prospect_ids": ["<string>"],
"request_context": None,
"parameters": {}
}
headers = {
"api_key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {api_key: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({prospect_ids: ['<string>'], request_context: null, parameters: {}})
};
fetch('https://api.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich', 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.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich",
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([
'prospect_ids' => [
'<string>'
],
'request_context' => null,
'parameters' => [
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"api_key: <api-key>"
],
]);
$response = curl_exec($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.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich"
payload := strings.NewReader("{\n \"prospect_ids\": [\n \"<string>\"\n ],\n \"request_context\": null,\n \"parameters\": {}\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("api_key", "<api-key>")
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.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich")
.header("api_key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"prospect_ids\": [\n \"<string>\"\n ],\n \"request_context\": null,\n \"parameters\": {}\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["api_key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prospect_ids\": [\n \"<string>\"\n ],\n \"request_context\": null,\n \"parameters\": {}\n}"
response = http.request(request)
puts response.read_body{
"response_context": {
"correlation_id": "<string>",
"request_status": "success",
"time_took_in_seconds": 123
},
"total_results": 123,
"data": [
{
"prospect_id": "<string>",
"data": {
"display_name": "<string>",
"post_text": "<string>",
"days_since_posted": 123,
"post_url": "<string>",
"number_of_comments": 123,
"number_of_likes": 123,
"created_at": "2023-11-07T05:31:56Z"
}
}
],
"entity_id": "<string>"
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Prospects Bulk Enrichments
Individual's social media presence (Bulk)
POST
/
v1
/
prospects
/
linkedin_posts
/
bulk_enrich
Linkedin Posts
curl --request POST \
--url https://api.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich \
--header 'Content-Type: application/json' \
--header 'api_key: <api-key>' \
--data '
{
"prospect_ids": [
"<string>"
],
"request_context": null,
"parameters": {}
}
'import requests
url = "https://api.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich"
payload = {
"prospect_ids": ["<string>"],
"request_context": None,
"parameters": {}
}
headers = {
"api_key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {api_key: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({prospect_ids: ['<string>'], request_context: null, parameters: {}})
};
fetch('https://api.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich', 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.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich",
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([
'prospect_ids' => [
'<string>'
],
'request_context' => null,
'parameters' => [
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"api_key: <api-key>"
],
]);
$response = curl_exec($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.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich"
payload := strings.NewReader("{\n \"prospect_ids\": [\n \"<string>\"\n ],\n \"request_context\": null,\n \"parameters\": {}\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("api_key", "<api-key>")
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.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich")
.header("api_key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"prospect_ids\": [\n \"<string>\"\n ],\n \"request_context\": null,\n \"parameters\": {}\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["api_key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prospect_ids\": [\n \"<string>\"\n ],\n \"request_context\": null,\n \"parameters\": {}\n}"
response = http.request(request)
puts response.read_body{
"response_context": {
"correlation_id": "<string>",
"request_status": "success",
"time_took_in_seconds": 123
},
"total_results": 123,
"data": [
{
"prospect_id": "<string>",
"data": {
"display_name": "<string>",
"post_text": "<string>",
"days_since_posted": 123,
"post_url": "<string>",
"number_of_comments": 123,
"number_of_likes": 123,
"created_at": "2023-11-07T05:31:56Z"
}
}
],
"entity_id": "<string>"
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Description
The Bulk Individual’s Social Media Presence Enrichment API retrieves LinkedIn® post data for up to 50 prospects in a single request. This endpoint helps in monitoring professional engagement, thought leadership, and outreach personalization. Key Benefits:- Bulk access to recent LinkedIn® posts from multiple prospects.
- Identify trends and professional interests to optimize engagement.
- Enhance lead nurturing with personalized messaging strategies.
How It Works
How It Works
- Input: Provide up to 50
prospect_idvalues, obtained from the Match Prospects endpoint. - Processing: The system retrieves public LinkedIn® posts associated with the provided prospects.
- Output: Returns structured data in the same order as the input, ensuring easy mapping.
Request Schema
Request Schema
| Field | Type | Description |
|---|---|---|
prospect_ids | Array | A list of up to 50 unique prospect IDs (Required) |
Example Request (cURL)
Example Request (cURL)
Bash
curl --request POST \
--url https://api.explorium.ai/v1/prospects/linkedin_posts/bulk_enrich \
--header 'accept: application/json' \
--header 'api_key: <your api key>' \
--header 'content-type: application/json' \
--data '{
"prospect_ids": [
"ee936e451b50c70e068e1b54e106cb89173198c4",
"57f9e5dac64d31d80e6e9432fe2c500d0bba2c01"
]
}'
Example Response
Example Response
JSON
{
"response_context": {
"correlation_id": "250fcd74ddb9498281b2bb2404bf71e8",
"request_status": "success",
"time_took_in_seconds": 29.91
},
"data": [
{
"prospect_id": "ee936e451b50c70e068e1b54e106cb89173198c4",
"data": {
"display_name": null,
"post_text": "Great to see so many customers and partners unlocking the full ROI of AI.",
"days_since_posted": 28,
"post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7293486979298578433",
"number_of_comments": 122,
"number_of_likes": 2875,
"created_at": "2025-02-06T00:00:00"
}
},
{
"prospect_id": "ee936e451b50c70e068e1b54e106cb89173198c4",
"data": {
"display_name": null,
"post_text": "Today in Nature Magazine: Our MatterGen model represents a paradigm shift in materials design...",
"days_since_posted": 46,
"post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7286992519978958848",
"number_of_comments": 254,
"number_of_likes": 6115,
"created_at": "2025-01-19T00:00:00"
}
},
...
],
"total_results": 20
}
Best Practices
Best Practices
- Use valid prospect IDs to ensure accurate enrichment results.
- Monitor recent LinkedIn® activity to identify engagement opportunities.
- Integrate enriched data into CRM systems for sales intelligence.
- Leverage insights to craft personalized outreach campaigns.
Bulk LinkedIn® posts Output Signals
Bulk LinkedIn® posts Output Signals
| Signal | API Name | Description | Data Type Final |
|---|---|---|---|
| created_at | Time of posting | Timestamp of when the individual’s post was published. | datetime |
| number_of_likes | Number of post likes | Number of likes the individual’s post received by time of collection. | integer |
| post_url | LinkedIn® post URL | URL to the LinkedIn® post published by individual. | url |
| number_of_comments | Number of post comments | Number of comments on the individual’s post by time of collection. | integer |
| days_since_posted | Days since post | Number of days since the post was published by the individual. | integer |
| post_text | Post text content | Text content of the LinkedIn® post published by individual. | string |
Body Params - Try Me Example
prospect_ids: ["ee936e451b50c70e068e1b54e106cb89173198c4", "57f9e5dac64d31d80e6e9432fe2c500d0bba2c01"]
Authorizations
APIKeyHeaderAPIKeyHeader
Body
application/json
Response
Successful Response
This is base response model for all responses in partner service.
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