> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nrev.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get Post Reactors

> Fetch who reacted to a LinkedIn post — with reaction types — to power sourcing, targeting, and engagement workflows.

## 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

***

## 🏁 Getting Started

<Frame>
  <img src="https://mintcdn.com/nurturev/OitEIaKlfl7lCKCJ/images/Get%20Post%20Reactors%20config%20screenshot.png?fit=max&auto=format&n=OitEIaKlfl7lCKCJ&q=85&s=4314019670ce1efc7ec2db3be5ef1a58" alt="Get Post Reactors config screenshot" style={{ borderRadius: '0.5rem', width: '100%', margin: '1.5rem 0' }} width="1178" height="1664" data-path="images/Get Post Reactors config screenshot.png" />
</Frame>

<Steps>
  <Step title="Add the node">Drag **Get Post Reactors** into your workflow.</Step>
  <Step title="Enter a LinkedIn Post URN">Paste a valid `urn:li:activity:XXXXXXXXXX`, or pull from input data by typing **@** or using **Insert Input**.</Step>
  <Step title="Set the limit">Choose how many reactors to fetch **(50–250, default = 50)**.</Step>
  <Step title="(Optional) Test run">Use test mode to fetch **only 1 page (50 reactors)** per post while validating.</Step>
  <Step title="Run and connect">Send results to enrichment, routing, or CRM sync nodes.</Step>
</Steps>

***

## Inputs

### 🛠️ 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.

### 🎯 Optional Fields

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

***

## 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.

<Note>
  ✨ If your table already has any of these column names, new ones are renamed automatically (e.g., `reactor_name_1`).
</Note>

***

## 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.

***

## 🚀 Example Use Cases & Prompts

| Use Case                | Setup or Prompt Example                                       |
| ----------------------- | ------------------------------------------------------------- |
| **Prospect Sourcing**   | Pull reactors from a product-launch post to build a warm list |
| **ABM Signal Tracking** | Join reactors with `account_domain` to flag target accounts   |
| **Content Performance** | Compare reactor volume/reaction mix across campaign posts     |
| **Event Follow-up**     | Export reactors from event recap posts for SDR outreach       |

***

## ✨ Pro Tips

<Tip>
  * **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.
</Tip>

***

## ⚠️ Important Considerations

<Warning>
  * **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.
</Warning>

***

## 🛠 Troubleshooting & Gotchas

| Symptom                       | Likely Cause                         | Quick Fix                                     |
| ----------------------------- | ------------------------------------ | --------------------------------------------- |
| No reactors in output         | Post has no reactions or URN invalid | Check URN format `urn:li:activity:XXXXXXXXXX` |
| Fewer reactors than expected  | Limit too low or test mode enabled   | Increase **Limit** or turn off test mode      |
| Column shows with `_1` suffix | Name conflict with existing column   | Rename output columns to your preferred names |
| Run stops mid-way             | Credits exhausted                    | Top up credits; re-run remaining rows/posts   |

***

## 📝 FAQ

<AccordionGroup>
  <Accordion title="Can I process multiple posts at once?">
    Yes. Provide a column of post URNs and reference it with **@** or **Insert Input** to map it into the settings.
  </Accordion>

  <Accordion title="What happens if a post has no reactions?">
    Your original row is preserved and reactor columns remain blank.
  </Accordion>

  <Accordion title="Does test mode override my limit?">
    Yes — test mode always fetches **only 1 page (50 reactors)** per post, regardless of your limit.
  </Accordion>

  <Accordion title="Which reaction types are included?">
    Common types like **LIKE, CELEBRATE, LOVE, SUPPORT, INSIGHTFUL, CURIOUS** (when available).
  </Accordion>
</AccordionGroup>

***

## 💰 Pricing

| Action                     | Credit Cost   |
| -------------------------- | ------------- |
| Fetch 1 page (50 reactors) | **5 credits** |

<Note>
  Credits are charged **per page of 50 reactors**.
</Note>

***

<p style={{ fontSize: '1rem', fontWeight: 'bold', marginTop: '1.5rem' }}>
  Drop this node in to turn post engagement into a high-signal prospecting and ABM list — automatically. 🚀
</p>