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 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 monitors a Google Drive folder for newly uploaded PDF resumes. It automatically extracts text from the PDF using OCR and then utilizes AI (GPT-4) to extract structured candidate information, such as name, job title, and experience. The extracted data is then used to update an existing row or add a new row in a Google Sheet serving as a candidate database. Finally, the hiring team is notified via Slack with a summary of the new or updated candidate profile.
This workflow triggers when a new row is added to a Google Sheet containing a company website URL. It then scrapes the content from that website, uses an AI model to extract key company information such as market, industry, target audience, and value proposition. Finally, the workflow updates the original Google Sheet row with this enriched data.
This workflow triggers when a new email containing an inbound order is received in Gmail. It then uses an AI model to extract key order details such as PO number, delivery date, SKU ID, and quantity from the email body. Finally, the extracted information is automatically added as a new row to a specified Google Sheet for logistics tracking.
This workflow automates the screening and ranking of resumes. It triggers when a new resume is added to Google Drive, extracts data from the resume and a job description, uses AI to analyze suitability and generate a score, then updates a Google Sheet tracker and sends email notifications.
This workflow automatically monitors your Gmail inbox for new inquiries. It classifies incoming emails using AI, retrieves relevant context from a Google Sheet acting as an FAQ database, and generates a professional, context-aware reply for valid inquiries. Finally, it sends the AI-generated response via Gmail and logs all interaction details (original email, AI response, timestamp, and sender) to a Google Sheet for tracking.