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What It Does

  • Scrapes LinkedIn posts from individual profiles, including posts, reposts, and activities
  • Captures engagement data such as likes, comments, and reactions
  • Supports pagination for large volumes of posts, fetching up to 250 posts per profile
  • Template variable support for dynamic processing across multiple profiles
  • Error handling for invalid profiles or API failures

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Why it matters

The Get Post By Person Node enables social media monitoring, content performance analysis, influencer tracking, and competitive benchmarking for RevOps, sales, and marketing teams.

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🏁 Getting Started

Get Post By Person Node config screenshot
1

Add the Node

Drag the Get Post By Person node into your workflow.
2

Provide LinkedIn Profile URL

Enter the LinkedIn Profile URL of the person whose posts you want to scrape.
3

Select Number of Posts

Choose the number of posts to retrieve (options: 50, 100, or 150).
4

Run the Workflow

Execute the workflow to pull LinkedIn posts and engagement data.
5

Review the Output

Review the post data, including text content, reactions, comments, and more.

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Inputs

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🛠️ Required Fields

  • LinkedIn Profile URL (✅)
    Enter the LinkedIn Profile URL of the person whose posts you want to scrape.
    Why it matters: This is the key field for identifying the profile to retrieve posts from.
  • Number of Posts (✅)
    Choose how many posts to retrieve (options: 50, 100, or 150).
    Why it matters: This defines the maximum number of posts to fetch from the selected LinkedIn profile.

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Output

  • All original columns are preserved
  • New enrichment fields are added as extra columns for each post (e.g., post text, reactions, etc.)
  • If enrichment fails, the row stays with blanks for the post data
Get Post By Person Node output screenshot

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🧾 Available Post Data Fields

You can select which fields you want to include in the output. Below are the key fields returned for each post:

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🔹 Post Info

  • urn
  • posted
  • post_url
  • text

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🔹 Engagement Metrics

  • num_appreciations
  • num_comments
  • num_empathy
  • num_entertainments
  • num_interests
  • num_likes
  • num_praises
  • num_reactions
  • num_reposts

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🔹 Resharing Info

  • reshared
  • resharer_comment
Only the fields you select will be returned in the output. Leave the selection blank to return all available post data fields.

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⚠️ Important Considerations

Ensure that the LinkedIn Profile URL is publicly accessible. If the profile is private, limited data may be returned.
Fetching posts consumes 5 credits per page (50 posts per page). Be mindful of your credit usage, especially for large datasets.

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🛠 Troubleshooting & Gotchas

SymptomLikely CauseQuick Fix
No posts returnedProfile is private or inaccessibleEnsure the profile is publicly accessible.

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💰 Pricing

Each page of results (50 posts) consumes 5 credits.
Credits are consumed for every set of 50 posts retrieved. Be mindful of your credit usage for large-scale scraping.

Start scraping LinkedIn posts today—monitor content, track engagement, and improve your competitive strategy with ease. 🚀