This workflow starts when a LinkedIn profile URL is provided. It uses GenFuse's LinkedIn Scraper to extract detailed profile information. An AI node then processes this data to structure specific fields like name, company, and education, making it ready for lead enrichment or research. Optionally, the structured data can be sent to a CRM.
This workflow triggers when a new row is added to a Google Sheet containing a LinkedIn profile URL. It then scrapes the detailed profile data using a LinkedIn scraper, sends the extracted information to an AI model for summarization, and finally writes the AI-generated summary back into the original Google Sheet row. This is ideal for recruiters or sales teams needing quick insights into prospects or candidates.
This workflow automatically processes newly received emails. It uses AI to classify the email content and any extracted text from attachments into predefined categories. If an email is identified as a job application, AI extracts specific structured data (e.g., name, study, age) from the email and its attachments, which can then be used to update a CRM.
This workflow analyzes a specified LinkedIn profile to extract its unique writing style from public posts. It then uses AI to generate custom prompts that can replicate this style. Finally, the generated AI prompts are automatically saved to an Airtable database for easy access and reuse.
This workflow starts when a new lead is added to Google Sheets. It performs a Google search to find the lead's LinkedIn profile and company page, then scrapes the relevant data. An AI then generates a personalized sales email based on the gathered information, which is then sent via Gmail.
This workflow is triggered when a new row is added to a Google Sheet containing a document link. It processes the document (e.g., a PDF resume) by extracting its text content. Using prompts fetched from another Google Sheet, an AI extracts specific fields of information. Finally, the extracted data is updated back into the original Google Sheet row.
This workflow takes a LinkedIn company URL as input. It then scrapes the company's profile data from LinkedIn and uses an AI model (like Google Gemini) to generate a concise, professional company story or narrative based on the extracted information. Finally, the summarized content is delivered via email.