> ## 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 By Person

> Extract LinkedIn posts from individual profiles using LinkedIn RapidAPI for content monitoring, analysis, and engagement tracking.

## 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

### 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.

***

## 🏁 Getting Started

<Frame>
  <img src="https://mintcdn.com/nurturev/OitEIaKlfl7lCKCJ/images/Get%20Post%20By%20Person%20Node%20config%20screenshot.png?fit=max&auto=format&n=OitEIaKlfl7lCKCJ&q=85&s=0c586b1facc98ae40d3eec1d1a9d76f5" alt="Get Post By Person Node config screenshot" style={{ borderRadius: '0.5rem', width: '100%', margin: '1.5rem 0' }} width="1178" height="1664" data-path="images/Get Post By Person Node config screenshot.png" />
</Frame>

<Steps>
  <Step title="Add the Node">
    Drag the **Get Post By Person** node into your workflow.
  </Step>

  <Step title="Provide LinkedIn Profile URL">
    Enter the **LinkedIn Profile URL** of the person whose posts you want to scrape.
  </Step>

  <Step title="Select Number of Posts">
    Choose the **number of posts** to retrieve (options: **50**, **100**, or **150**).
  </Step>

  <Step title="Run the Workflow">
    Execute the workflow to pull LinkedIn posts and engagement data.
  </Step>

  <Step title="Review the Output">
    Review the post data, including text content, reactions, comments, and more.
  </Step>
</Steps>

***

## Inputs

### 🛠️ 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.

***

## 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

***

### 🧾 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:

#### 🔹 Post Info

* `urn`
* `posted`
* `post_url`
* `text`

#### 🔹 Engagement Metrics

* `num_appreciations`
* `num_comments`
* `num_empathy`
* `num_entertainments`
* `num_interests`
* `num_likes`
* `num_praises`
* `num_reactions`
* `num_reposts`

#### 🔹 Resharing Info

* `reshared`
* `resharer_comment`

<Note>
  Only the fields you select will be returned in the output. Leave the selection blank to return **all available post data fields**.
</Note>

***

## ⚠️ Important Considerations

<Warning>
  Ensure that the **LinkedIn Profile URL** is publicly accessible. If the profile is private, limited data may be returned.
</Warning>

<Warning>
  Fetching posts consumes **5 credits per page** (50 posts per page). Be mindful of your credit usage, especially for large datasets.
</Warning>

***

## 🛠 Troubleshooting & Gotchas

| Symptom           | Likely Cause                       | Quick Fix                                  |
| ----------------- | ---------------------------------- | ------------------------------------------ |
| No posts returned | Profile is private or inaccessible | Ensure the profile is publicly accessible. |

***

## 💰 Pricing

> Each page of results (50 posts) consumes **5 credits**.

<Note>
  Credits are consumed for every set of 50 posts retrieved. Be mindful of your credit usage for large-scale scraping.
</Note>

***

<p style={{ fontSize: '1rem', fontWeight: 'bold', marginTop: '1.5rem' }}>
  Start scraping LinkedIn posts today—monitor content, track engagement, and improve your competitive strategy with ease. 🚀
</p>