This workflow helps marketing teams analyze competitor LinkedIn posts. It scrapes content from a given LinkedIn post URL, uses AI to extract insights like the post's intent, effectiveness, and key marketing takeaways, and then stores this structured competitive intelligence directly into a Google Sheet.
This workflow automatically detects new customer feedback submitted via Google Forms (by monitoring a Google Sheet). It then uses AI to analyze the feedback content and extract impactful testimonial quotes. The extracted quotes are saved to a Google Sheet database, and an email notification is sent to the marketing team with the new testimonial.
This workflow runs weekly to automatically research trending keywords and analyze competitors for a given industry. It uses AI to gather search data and analyze trends, then saves the findings directly into a Google Sheet for ongoing tracking and strategy.
This workflow enables users to submit website URLs via Slack for automated evaluation. It scrapes the target website's content, then uses AI to analyze its potential business impact by incorporating context from a Google Sheet. Finally, it provides a detailed, structured report back in Slack and logs all analysis results into Google Sheets for record-keeping.
This workflow is designed to run on a schedule, automatically scraping the Amazon Electronics Best Sellers page. It then leverages AI to extract key structured product information like names, prices, and ratings from the scraped content. Finally, this organized data is appended as new rows in a specified Google Sheet, enabling ongoing market analysis.
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 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.