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What It Does

  • Pulls the list of people who reacted to one or more LinkedIn posts
  • Captures reactor details (name, headline, profile URL) and reaction type (LIKE, CELEBRATE, LOVE, etc.)
  • Works for a single post or in batch from an input column of post URNs
  • Preserves your original data and adds reactor columns for downstream use

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🏁 Getting Started

Get Post Reactors config screenshot
1

Add the node

Drag Get Post Reactors into your workflow.
2

Enter a LinkedIn Post URN

Paste a valid urn:li:activity:XXXXXXXXXX, or pull from input data by typing @ or using Insert Input.
3

Set the limit

Choose how many reactors to fetch (50–250, default = 50).
4

(Optional) Test run

Use test mode to fetch only 1 page (50 reactors) per post while validating.
5

Run and connect

Send results to enrichment, routing, or CRM sync nodes.

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Inputs

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🛠️ Required Fields

  • Post URN (✅)
    The LinkedIn post URN, e.g., urn:li:activity:1234567890.
    You can reference a column from your input data by:
    • Typing @ to open the column menu, or
    • Clicking Insert Input to choose a column from previous nodes.
      Why it matters: Tells the node which post to pull reactors from.
  • Limit (✅)
    Default: 50. Maximum number of reactors to fetch per post (range: 50–250).
    Why it matters: Controls how much engagement data you capture and the credits you’ll use.

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🎯 Optional Fields

  • (None)
    Why it matters: All essential config is kept minimal to move fast.

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Output

The node preserves your input columns and adds:
  • reactor_name — Name of the person who reacted
  • reactor_headline — Their LinkedIn headline/title
  • reactor_linkedin_url — Link to their LinkedIn profile
  • reaction_type — Reaction type (e.g., LIKE, CELEBRATE, LOVE)
If a post has no reactions, the original row is preserved and the reactor fields are blank.
Get Post Reactors output screenshot
✨ If your table already has any of these column names, new ones are renamed automatically (e.g., reactor_name_1).

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How It Works

  1. Reads your post_urn (single value or from a column via @ / Insert Input).
  2. Fetches reactors page by page until the limit is reached (50–250).
  3. Extracts reactor identity and reaction type for each match.
  4. Appends reactor columns to your dataset while preserving all original columns.
  5. In test mode, fetches only 1 page (50 reactors) per post.
  6. Applies sensible handling for empty/invalid URNs and rate limits.

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🚀 Example Use Cases & Prompts

Use CaseSetup or Prompt Example
Prospect SourcingPull reactors from a product-launch post to build a warm list
ABM Signal TrackingJoin reactors with account_domain to flag target accounts
Content PerformanceCompare reactor volume/reaction mix across campaign posts
Event Follow-upExport reactors from event recap posts for SDR outreach

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✨ Pro Tips

  • Reference a column with @ or Insert Input to process many posts in one run.
  • Rename output columns (e.g., reactor_profile_url) to keep downstream models readable.
  • Use test mode for setup — it caps to 1 page (50 reactors) to save credits.

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⚠️ Important Considerations

  • Each page = 50 reactors = 5 credits. Larger limits mean more pages.
  • Runs are subject to LinkedIn’s platform rate limits; heavy runs may be throttled.

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🛠 Troubleshooting & Gotchas

SymptomLikely CauseQuick Fix
No reactors in outputPost has no reactions or URN invalidCheck URN format urn:li:activity:XXXXXXXXXX
Fewer reactors than expectedLimit too low or test mode enabledIncrease Limit or turn off test mode
Column shows with _1 suffixName conflict with existing columnRename output columns to your preferred names
Run stops mid-wayCredits exhaustedTop up credits; re-run remaining rows/posts

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📝 FAQ

Yes. Provide a column of post URNs and reference it with @ or Insert Input to map it into the settings.
Your original row is preserved and reactor columns remain blank.
Yes — test mode always fetches only 1 page (50 reactors) per post, regardless of your limit.
Common types like LIKE, CELEBRATE, LOVE, SUPPORT, INSIGHTFUL, CURIOUS (when available).

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💰 Pricing

ActionCredit Cost
Fetch 1 page (50 reactors)5 credits
Credits are charged per page of 50 reactors.

Drop this node in to turn post engagement into a high-signal prospecting and ABM list — automatically. 🚀