Disclaimer This template is only available on n8n self-hosted as it's making use of the community node for MCP Client. Who this is for? The Extract, Transform LinkedIn Data with Bright Data MCP Server & Google Gemini workflow is an automated solution that scrapes LinkedIn content via Bright Data MCP Server then transforms the response using a Gemini LLM. The final output is sent via webhook notification and also persisted on disk. This workflow is tailored for: Data Analysts : Who require structured LinkedIn datasets for analytics and reporting. Marketing and Sales Teams : Looking to enrich lead databases, track company updates, and identify market trends. Recruiters and Talent Acquisition Specialists : Who want to automate candidate sourcing and company research. AI Developers : Integrating real-time professional data into intelligent applications. Business Intelligence Teams : Needing current and comprehensive LinkedIn data to drive strategic decisions. What problem is this workflow solving? Gathering structured and meaningful information from the web is traditionally slow, manual, and error-prone.
Tags
Information ExtractorRelated workflows
See all AI Automation→
AI: Summarize podcast episode and enhance using Wikipedia
The workflow automates the process of creating a summarized and enriched podcast digest, which is then sent via email. Note that to use this template, you need to be on n8n version 1.19.4 or later.
Turn support emails into FAQ drafts with Gmail, OpenAI, Sheets and Docs
Quick overview This workflow monitors a Gmail inbox for new support-style emails, uses OpenAI to extract a reusable FAQ question and safe draft answer, logs results to Google Sheets, and then creates a Google Docs draft and/or Gmail review drafts for a human reviewer. How it works Polls Gmail every 5 minutes for unread emails matching the configured support-related search query. Cleans the email content by stripping quoted replies, signatures, and HTML to produce a concise plain-text body. Sends the cleaned email and product context to OpenAI to extract a structured FAQ candidate (question, draft answer, category, score, sensitivity flag, tags, and recommended action). Calculates a routing status based on the FAQ score threshold and sensitivity/recommended action, and prepares draft text for a Google Doc and reviewer email. Appends every processed email and extracted fields to a Google Sheets tab for tracking and reporting. If the candidate is strong, creates a Google Docs FAQ draft, inserts the draft content, and creates a Gmail draft notification to the reviewer with the document link. If the candidate needs manual handling, creates a Gmail draft to the reviewer with the review n
W
Find YouTube creator emails with Apify, OpenAI and Google Sheets
Quick overview This workflow searches YouTube via Apify for videos matching a keyword, deduplicates the resulting channels, scrapes each channel’s About description, uses OpenAI to extract contact email addresses, and appends channels with emails to a Google Sheets tab. How it works Starts when you manually execute the workflow. Sends a keyword-based search request to the Apify YouTube Scraper to retrieve recent YouTube results and their channel URLs. Deduplicates the results so each channel URL is processed only once. Scrapes each channel’s About/description data using an Apify YouTube Scraper request. Uses OpenAI to extract and de-obfuscate any email addresses found in the channel description. Keeps only channels where at least one email address was extracted. Appends the channel name, channel URL, extracted emails, search query, and the current date to Google Sheets. Setup Add an Apify API token using an HTTP Header Auth credential (Authorization: Bearer ) and connect it to both Apify HTTP Request steps. Add an OpenAI API key credential and choose the model name you want to use in the Configuration values. Connect your Google Sheets OAuth credential, then set the target spreadsh