LinkedIn Post Detail API - Text, Media & Engagement

Pass post_id to retrieve a selected post. The documented data object contains id, text, created_at, url, author, content and activity. content holds attachment-specific fields that can be null; activity includes num_comments, num_likes, num_shares and reaction_counts. These are observed engagement values at retrieval time, not impressions, reach, sentiment analysis or a built-in historical series.

API Features

Single-post text retrieval Resolve a known post_id into the documented text and source URL.

Author and creation context author and created_at anchor the post in its professional publishing context.

Nullable attachment slots content contains format-specific fields; null values do not imply missing text.

Engagement snapshot fields activity holds comment, like, share and reaction counts rather than impression analytics.

Live API Demo

GET /api/project/linkedin-scraper/get-post-detail

API Response (JSON)

{}

curl -X GET 'https://api.opendata-api.com/api/project/linkedin-scraper/get-post-detail?key=<API_KEY>&post_id=<post_id>'

curl -X GET 'https://api.opendata-api.com/api/project/linkedin-scraper/get-post-detail?key=<API_KEY>&post_id=<post_id>'

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Use Cases

Enrich a selected discussion with its returned text and attachments.
Save a dated engagement snapshot of a product-announcement post.
Build a source-attributed research record for a known professional update.
Compare later observations of the same post without implying built-in history.

Frequently asked questions

Does activity include impressions or reach?

The documented sample includes num_comments, num_likes, num_shares and reaction_counts. It does not establish impressions, reach or historical analytics.

Why are many content fields null?

Attachment fields are format-specific. A post can have images while article, document, event, poll or video are null. Render only the attachment types actually returned.

Related operations

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