​
Overview

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.