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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": {
    "offline_mode": "true"
  }
}
'
{
  "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>"
}

​
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.
  1. Input: Provide up to 50 prospect_id values, obtained from the Match Prospects endpoint.
  2. Processing: The system retrieves public LinkedIn® posts associated with the provided prospects.
  3. Output: Returns structured data in the same order as the input, ensuring easy mapping.
FieldTypeDescription
prospect_idsArrayA list of up to 50 unique prospect IDs (Required)
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"
  ]
}'
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
}
  • 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.
SignalAPI NameDescriptionData Type Final
created_atTime of postingTimestamp of when the individual’s post was published.datetime
number_of_likesNumber of post likesNumber of likes the individual’s post received by time of collection.integer
post_urlLinkedIn® post URLURL to the LinkedIn® post published by individual.url
number_of_commentsNumber of post commentsNumber of comments on the individual’s post by time of collection.integer
days_since_postedDays since postNumber of days since the post was published by the individual.integer
post_textPost text contentText content of the LinkedIn® post published by individual.string

​
Body Params - Try Me Example

prospect_ids: ["ee936e451b50c70e068e1b54e106cb89173198c4", "57f9e5dac64d31d80e6e9432fe2c500d0bba2c01"]

Authorizations

​
api_key
string
header
required

Body

application/json
​
prospect_ids
string[]
required
Required array length: 1 - 50 elements
​
request_context
Request Context · object
Example:

null

​
parameters
Parameters · object

Response

Successful Response

This is base response model for all responses in partner service.

​
response_context
ResponseContext · object
required
​
total_results
integer
required
​
data
ProspectsBulkEnrichRow[LinkedinProspectsPostsOutputSchema] · object[]
​
entity_id