Send a LinkedIn profiles's current company headcount to Slack

Steps:

Bardeen offers a seamless integration that automates the process of sourcing company information from LinkedIn profiles and sharing it on Slack. This playbook is designed for sales prospecting and data sourcing, enabling you to quickly inform your team about a prospect's current company size without leaving Slack. It's an efficient way to bring valuable insights into your sales conversations and strategies.

Here's how this workflow sends a LinkedIn profile's current company headcount to Slack:

• Step 1: Extract LinkedIn company data: Scraper is used to extract data from the LinkedIn profile page provided. The scraper runs in the background, ensuring your workflow is not interrupted.
• Step 2: Prepare company profile link: The company profile link is constructed by merging the scraped LinkedIn company data with the predefined text format.
• Step 3: Scrape company headcount: The scraper extracts the company's headcount information from the LinkedIn company about page using the company profile link generated in the previous step.
• Step 4: Split headcount data: The headcount information is then split into an array to isolate the exact number of employees.
• Step 5: Select headcount number: The specific item in the array containing the headcount number is selected to be included in the Slack message.
• Step 6: Send Slack message: Finally, a message is composed and sent to the specified Slack channel or user. This message includes the custom message, name, and link to the company profile along with the headcount.

The new Bardeen – Find leads no one else does:

With our new Bardeen version, you can easily extract data from any website and discover new leads across the web. After extracting data from a website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.