Qualify LinkedIn Companies from search and save to Google Sheets

Steps:

Bardeen's workflow automation for LinkedIn company qualification enables businesses to efficiently identify and categorize potential leads directly from LinkedIn searches and save them to Google Sheets for further analysis. This automation is particularly beneficial for sales prospecting and data sourcing research, as it minimizes manual data entry and accelerates the lead qualification process. By leveraging this playbook, sales teams can focus their efforts on the most promising opportunities.

Here is how to qualify LinkedIn companies from search and save to Google Sheets:

• Step 1: Scrape LinkedIn search results - The Scraper is used to gather company data from your LinkedIn search results tab. Specify the maximum number of companies you want to extract to ensure relevance and manageability.
• Step 2: Scrape company details - Bardeen scrapes additional details of each company in the background, allowing for a deeper analysis of each potential lead without manual navigation.
• Step 3: Merge company data - This step involves combining the scraped data into a comprehensive table, ensuring all relevant company information is structured and ready for classification.
• Step 4: Classify companies - Using Bardeen's AI Actions, the playbook classifies the companies based on your custom criteria, helping to prioritize leads.
• Step 5: Save to Google Sheets - The classified data is then appended to a Google Sheets spreadsheet, providing a centralized location for your team to access and collaborate on the qualified leads.

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.