Individual’s social media presence

Introduction

The Individual’s Social Media Presence Enrichments API provides insights into a prospect’s social media activity. This endpoint retrieves public posts from professional networks, allowing businesses to analyze engagement trends, content topics, and prospect interests for better outreach and marketing strategies.

📌 Key Benefits:

Gain real-time visibility into a prospect’s social media activity.
Understand professional interests, opinions, and engagement.
Improve personalized outreach by leveraging recent posts and topics of discussion.
Track changes in professional communication patterns over time.

Endpoint: `POST /prospects/linkedin_posts/enrich`

How It Works

Input: Provide a prospect_id (retrieved from the Match Prospects endpoint) to fetch their social media data.
Processing: The system gathers publicly available social media posts and organizes them into a structured format.
Output: A response containing recent posts, links to content, and engagement details.

Request Schema

Field	Type	Description
`prospect_id`	String	A unique identifier for the prospect (Required)

Example Request (cURL)

curl -X POST \
  "https://api.explorium.ai/v1/prospects/social-media/enrich" \
  -H "API_KEY: <your api key>" \
  -H "Content-Type: application/json" \
  -d '{
  "prospect_id": "ee936e451b50c70e068e1b54e106cb89173198c4"
}'

Example Response

{
  "response_context": {
    "correlation_id": "0521e8b4e2ea4c8ea8d5c74010209e83",
    "request_status": "success",
    "time_took_in_seconds": 0.96
  },
  "data": [
    {
      "display_name": null,
      "post_text": "No one becomes a clinician to do paperwork, but it's becoming a bigger and bigger administrative burden, taking time and attention away from actually treating and supporting patients.\n\nThat’s why we’re introducing Microsoft Dragon Copilot, the industry’s first AI assistant for clinical workflow. Check it out: https://lnkd.in/gNxEaRuf",
      "days_since_posted": 3,
      "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7302346926123798528",
      "number_of_comments": 578,
      "number_of_likes": 14482,
      "created_at": "2025-03-03T00:00:00"
    },
    {
      "display_name": null,
      "post_text": "Just in time for test-time scaling, we have our first NVlink 72 clusters live in Azure. Here’s to the next generation of AI built on these systems! ",
      "days_since_posted": 58,
      "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7282435161617510400",
      "number_of_comments": 368,
      "number_of_likes": 15192,
      "created_at": "2025-01-07T00:00:00"
    },
    {
      "display_name": null,
      "post_text": "We’re taking our latest AI research breakthroughs and putting them in the hands of devs everywhere, with Azure AI Foundry Labs.",
      "days_since_posted": 15,
      "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7298098801951531011",
      "number_of_comments": 131,
      "number_of_likes": 4399,
      "created_at": "2025-02-19T00:00:00"
    },
    {
      "display_name": null,
      "post_text": "More big updates today for our Phi family of SLMs: Phi-4 multimodal and Phi-4 mini. Can't wait to see what you build.",
      "days_since_posted": 8,
      "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7300648027357085696",
      "number_of_comments": 57,
      "number_of_likes": 1567,
      "created_at": "2025-02-26T00:00:00"
    },
    {
      "display_name": null,
      "post_text": "Announcing Microsoft 365 Copilot Chat. Making AI more accessible to every employee in every business.\n\nLearn more here: aka.ms/CopilotChat",
      "days_since_posted": 50,
      "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7285377562279604224",
      "number_of_comments": 723,
      "number_of_likes": 19609,
      "created_at": "2025-01-15T00:00:00"
    },
    {
.......

📌 Key Consideration:

Posts retrieved are from publicly available social media content.
Engagement data (likes, comments) may not always be available.
Ensure valid prospect IDs (from Match Prospects) to retrieve accurate data.
Use insights for trend analysis, competitor research, and engagement tracking.

Best Practices

Use verified prospect IDs for accurate enrichment.
Analyze engagement patterns to tailor marketing efforts.
Store and categorize insights in your CRM for future reference.
Leverage content analysis for personalized outreach.
Monitor recent social media activity to track industry trends and thought leadership.

Individual’s Social Media Presence Output Signal

Field Name	Description	Data Type
`display_name`	Name of the individual who posted the content	`Optional[str]`
`post_text`	Content of the LinkedIn post	`Optional[str]`
`days_since_posted`	Number of days since the post was published	`Optional[int]`
`post_url`	URL linking to the original LinkedIn post	`Optional[DataTypes.Url]`
`number_of_comments`	Total number of comments on the post	`Optional[int]`
`number_of_likes`	Total number of likes on the post	`Optional[int]`
`created_at`	Date and time when the post was created	`Optional[datetime]`

Body Params - Try Me Example

prospect_id: ee936e451b50c70e068e1b54e106cb89173198c4

Introduction

Endpoint: POST /prospects/linkedin_posts/enrich

Endpoint: `POST /prospects/linkedin_posts/enrich`