Save a LinkedIn profiles's current company headcount to Notion

Steps:

For professionals engaged in sales prospecting and data sourcing research, the ability to quickly gather relevant company information can be a game-changer. Bardeen's playbook automates the process of finding a company's headcount from a LinkedIn profile and saving it to a Notion database, along with the profile's name and company link. Efficiently populating your Notion with this data can help in lead qualification and outreach strategies, enabling a more personalized approach to potential leads.

Here is how you can save LinkedIn profiles' current company headcount to Notion:

• Step 1: Scrape LinkedIn Profile - Bardeen uses the Scraper to extract the LinkedIn profile information, specifically the links related to the current company, without manual intervention.
• Step 2: Create Company Link - The scraper's output is then used to generate a complete link to the LinkedIn company page by merging the scraped text.
• Step 3: Scrape Company Page - The Scraper is once again utilized, this time to extract data from the LinkedIn company about page using the link created in the previous step.
• Step 4: Split Company Data - The information about the company's employees on LinkedIn is split into an array for easier access to specific data points.
• Step 5: Extract Headcount - From the array, Bardeen retrieves the specific item that indicates the company's headcount.
• Step 6: Save to Notion - Finally, Bardeen creates a new page in your Notion database with the LinkedIn profile's name, company link, and the extracted headcount data.

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.