LinkedIn User Post History Scraper

Retrieve the complete publicly available activity history from any LinkedIn profile — posts, reposts, comments, and reactions — as structured, consistently formatted data. Designed for researchers, data analysts, and content intelligence teams that need reliable, bulk-extractable LinkedIn activity data.

Activity Type Coverage

This actor supports four distinct activity stream types:

activity_type	What it returns
posts	Original content published by the profile owner
reposts	Content reshared by the profile owner (with or without commentary)
comments	Posts the person publicly commented on (reveals their engagement behavior)
reactions	Posts the person publicly reacted to (reveals consumption patterns)

The comments and reactions types are particularly valuable for audience intelligence — they reveal which content and creators a person actively engages with, not just what they produce.

Dataset Schema

Field	Type	Description
activity_type	string	Post / Repost / Comment / Reaction
post_text	string	Full post body
post_url	string	Canonical post URL
created_at	ISO 8601	Publication or engagement timestamp
author_name	string	Post author display name
author_headline	string	Author LinkedIn headline
author_linkedin_url	string	Author profile URL
author_type	string	person / company
num_likes	integer	Total like count
num_comments	integer	Comment count
num_shares	integer	Share count
reaction_counts	object	Per-type breakdown
is_repost	boolean	Reshared content flag
repost_commentary	string	Resharer's added commentary
shared_post	object	Original post data (for reposts)
media_attachments	array	Attached media metadata

Input Schema

{
  "profile_urls": [
    "https://www.linkedin.com/in/example-profile/"
  ],
  "activity_type": "posts",
  "max_results": 100
}

Research Applications

Content strategy research: Extract full post histories from target industry voices. Analyze topic distribution, format mix, posting frequency, and engagement patterns at scale.

Audience behavior analysis: Using comments and reactions modes, map which external content a set of profiles engages with — reveals consumption patterns and peer influence networks.

Influence measurement: Compare engagement rates, reaction type distributions, and post frequency across a cohort of profiles in a target vertical.

Longitudinal tracking: Run on a schedule via Apify API to build time-series activity datasets for ongoing research.

Pagination

The actor handles pagination automatically. LinkedIn limits access to approximately 200–300 activity items per type per profile. max_results can be set below this ceiling to retrieve a specific count.

Pricing

$15 per 1,000 activity items extracted. Billed on successful records only. No subscription.

FAQ

Can I retrieve all four activity types for a single profile in one run? Currently the actor retrieves one activity type per run. Run the actor four times with different activity_type settings to get complete coverage, or submit separate profile URLs for each type.

What does the comments activity type return exactly? It returns the posts that the profile owner publicly commented on — not the person's own posts. Each record includes the original post content, the post author, engagement metrics on that post, and the comment context.

Is there a difference in data volume between activity types? Yes — active creators typically have more posts history, while highly engaged users may have larger reactions and comments datasets. The ceiling varies by individual profile activity level.

How do I use this for audience intelligence? Pull the comments and reactions activity streams for a target prospect. The resulting dataset reveals which creators and content they actively engage with — useful for warm intro mapping, relevance personalization, and understanding their information diet.