Extract LinkedIn Sales Navigator contacts to Google Sheets with auto pagination
Complete Template Description Automate LinkedIn Sales Navigator contact extraction to Google Sheets This workflow scrapes LinkedIn Sales Navigator search results and automatically saves contact details to Google Sheets with pagination support and rate limiting protection. Who's it for Sales teams, recruiters, and business development professionals who need to extract and organize LinkedIn contact data at scale without manual copy-pasting. What it does The workflow connects to a LinkedIn scraping API to fetch contact information from Sales Navigator search results. It handles pagination automatically, extracts contact details (name, title, company, location, profile URL), and appends them to a Google Sheet. Built-in rate limiting (30-60 second delays) prevents API blocks and mimics natural browsing behavior. Requirements Self-hosted n8n instance (this workflow will NOT work on n8n Cloud due to cookie requirements and third-party API usage) LinkedIn Sales Navigator account Google Sheets account EditThisCookie browser extension API access from the creator (1 month free trial available) How to set up Step 1: Get API Access Email the creator to request 1 month of free API access using the link in the workflow. You'll receive your API key within 24 hours. Step 2: Configure API Authentication Click the "Scrape LinkedIn Contacts API" node Under Authentication, select "Header Auth" Create new credential with Name: x-api-key and your received API key as the Value Save the credential Step 3: Extract LinkedIn Cookies Install the EditThisCookie extension Navigate to LinkedIn Sales Navigator Click the cookie icon in your browser toolbar Click "Export" and copy the cookie data Paste into the cookies field in the "Set Search Parameters" node Step 4: Configure Your Search In the "Set Search Parameters" node, update: cookies: Your exported LinkedIn cookies url: Your LinkedIn Sales Navigator search URL total_pages: Number of pages to scrape (default: 2, each page = ~25 contacts) Step 5: Set Up Google Sheets Make a copy of the template Google Sheet (or create your own with matching column headers) In the "Save Contacts to Google Sheets" node, connect your Google Sheets account Select your destination spreadsheet and sheet name Important Security Note: Keep your LinkedIn cookies private. Never share them with others or commit them to public repositories. Customization options Adjust total_pages to control how many contacts you scrape Modify the delay in "Rate Limit Delay Between Requests" node (default: 30-60 seconds random) - do not lower this to avoid API blocks Customize which contact fields to save in the Google Sheets column mapping Change the search URL to target different prospect segments or filters
By Naveen ChoudharyMulti-AI agent router: compare OpenAI, Anthropic & Groq responses with webhooks
Introduction This workflow connects to OpenAI, Anthropic, and Groq, processing requests in parallel with automatic performance metrics. Ideal for testing speed, cost, and quality across models. How It Works Webhooks trigger parameter extraction and routing. Three AI agents run simultaneously with memory and parsing. Responses merge with detailed metrics. Workflow Template Webhook → Extract Parameters → Router ├→ OpenAI Agent ├→ Anthropic Agent ├→ Groq Agent → Merge → Metrics → Respond Workflow Steps Webhook receives POST with prompt and settings. Parameters extracted and validated. Router directs by cost, latency, or type. AI agents run in parallel. Results merged with metadata. Metrics compute time, cost, and quality. Response returns outputs and recommendation. Setup Instructions Activate Webhook with authentication. Add API keys for all providers. Define models, tokens, and temperature. Adjust Router logic for selection. Tune Metrics scoring formulas. Prerequisites n8n v1.0+ instance API keys: OpenAI, Anthropic, Groq HTTP client for testing Customization Add providers like Gemini or Azure OpenAI. Enable routing by cost or performance. Benefits Auto-select efficient providers and compare model performance in real time.
By Cheng Siong ChinAnalyze event feedback with sentiment analysis, Google Sheets, Slack & Email
This n8n workflow automates the collection and analysis of real-time attendee feedback and engagement data during sessions or live polls. It generates actionable insights for organizers, streamlining the process of gathering, processing, and delivering feedback to enhance event management and attendee experience. Key Features Collects session feedback and live poll responses in real-time. Analyzes sentiment and extracts key trends for actionable insights. Delivers summarized reports and recommendations to organizers via multiple channels. Supports seamless integration with external tools for data logging and communication. Workflow Process The Webhook Trigger node captures incoming feedback or poll data from attendees, initiating the workflow. The Extract Feedback Data node processes the raw input to organize and prepare it for analysis. The Analyze Sentiment node uses AI to evaluate feedback sentiment and identify key themes or trends. The Aggregate Feedback node compiles the analyzed data into a cohesive summary. The Calculate Insights node generates actionable insights and recommendations based on the aggregated data. The Check Urgency node assesses the priority of the feedback for timely responses or actions. The Log to Google Sheets node records the feedback and insights for future reference. The Webhook Response node sends real-time updates or acknowledgments back to the source. The Post to Slack node delivers summary messages to organizers via Slack. The Email Report to Organizers node sends detailed reports to organizers via email. Setup Instructions Import the workflow into n8n and configure the Webhook Trigger with your event platform's API credentials. Set up the AI service for sentiment analysis and insight generation with a suitable language model. Configure Google Sheets integration for logging feedback data. Set up Slack and email credentials for notifications and reports. Test the workflow by sending sample feedback or poll responses to ensure proper data flow and analysis. Monitor the output and adjust AI parameters or node settings as needed for optimal performance. Prerequisites Webhook integration with the event platform or polling system. AI/LLM service for sentiment analysis and insight generation. Google Sheets account for data logging. Slack workspace and email service for notifications and reports. Access to real-time attendee data from the event platform. Modification Options Modify the Extract Feedback Data node to include specific data fields or custom parsing rules. Adjust the Analyze Sentiment node to focus on particular sentiment metrics or keywords. Customize the Calculate Insights node to prioritize certain types of recommendations. Add additional notification channels (e.g., Microsoft Teams) to the Post to Slack or Email Report nodes. Configure the Check Urgency node to include custom urgency criteria based on event needs.
By Oneclick AI Squad