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

# Scraping Reactors and Commentors from Post

> Use LinkedIn Post Data in Bitscale to scrape full profiles of commenters and reactors from any post. Capture high-intent signals, enrich profiles, and feed them directly into outbound campaigns.

### Overview

<iframe width="100%" style={{aspectRatio: "16/9"}} src="https://www.youtube.com/embed/yu5wFzhNWoo?si=dOr7vsW2kwDdky5p" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

Bitscale provides a **native intent-based data source** that allows you to capture signals directly from LinkedIn posts. Unlike other platforms that only provide counts of likes or comments, Bitscale enables you to **scrape full interaction data**, including:

* Profiles of reactors and commenters
* Headlines and LinkedIn URLs
* Reaction type and comment text

This makes it possible to identify highly engaged prospects who already show awareness of your product, competitors, or relevant use cases—perfect for intent-driven outreach.

***

### **When to Use**

* **Capture competitor mentions**: Identify prospects engaging with competitor posts.
* **Warm up awareness leads**: Target users who already know about your product or category.
* **Segment campaigns**: Build flows based on whether a user commented or simply reacted.

***

### **Setting Up LinkedIn Post Scraping**

1. Copy the URL of a LinkedIn post.
2. In Bitscale, go to **New Grid → Data Source → LinkedIn Post Data**.
3. Paste the LinkedIn post URL.
4. Choose interaction type:
   * **Commenters** (for deeper intent signals)
   * **Reactors** (for broader engagement lists)
   * Or select both.
5. Define limits (up to 1,000 comments and 1,000 reactions).
6. Import results into a new grid.

***

### **Data Captured**

Each profile imported will include:

* Full Name
* Headline/Role
* LinkedIn URL
* Type of interaction (comment or reaction)
* Comment text (if applicable)

By default, you’ll also see the **Enrich Person** enrichment available in the grid, which can be auto-mapped to retrieve additional details such as emails, phone numbers, and company data.

***

### **Using This Signal**

Once profiles are scraped:

* Enrich them with contact details via **Find Email/Phone Waterfalls**.
* Segment by interaction type (e.g., run a “commenter” campaign vs. a “reactor” campaign).
* Feed these prospects into **personalized outbound campaigns** based on the context of the post they engaged with.

***

### **Best Practices**

* Use **comments** for higher-intent lists, since commenters usually engage more deeply.
* Use **reactions** for broader awareness campaigns.
* Enrich all scraped contacts to build complete multi-channel outreach campaigns.
* Align the outreach message with the **context of the post** (e.g., competitor mention vs. general topic).

***

### **Summary**

Bitscale’s **LinkedIn Post Data** source transforms social engagement into actionable prospect lists. By scraping complete profiles of commenters and reactors, you can build intent-driven campaigns that target prospects already showing interest in your product, category, or competitors.

For ready-made campaign templates, contact the Bitscale support channel.

***