by vinci-king-01
How it works This workflow automatically discovers industry conferences and provides AI-powered networking intelligence to maximize your event ROI. Key Steps Scheduled Discovery - Runs weekly to find new industry conferences from Eventbrite and other sources. AI-Powered Scraping - Uses ScrapeGraphAI to extract comprehensive conference information including speakers, agenda, and networking opportunities. Speaker Intelligence - Analyzes speakers to identify high-priority networking targets based on their role, company, and expertise. Agenda Analysis - Extracts and maps the complete conference schedule to optimize your time and networking strategy. Networking Strategy - Generates AI-powered recommendations for maximizing networking ROI with prioritized contact lists and approach strategies. Set up steps Setup time: 10-15 minutes Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping capabilities. Customize conference sources - Update the Eventbrite URL to target specific industries or locations. Adjust monitoring frequency - Modify the weekly trigger to match your conference discovery needs. Review networking priorities - The system automatically prioritizes speakers, but you can customize the criteria. Key Features Automated Conference Discovery** - Finds relevant industry events from multiple sources Speaker Intelligence Analysis** - Identifies high-value networking targets with contact priority scoring Strategic Agenda Mapping** - Optimizes your conference schedule for maximum networking impact AI-Powered Recommendations** - Provides personalized networking strategies and approach methods Priority Contact Lists** - Ranks speakers by business value and networking potential
by Viktor Klepikovskyi
Simple REST API with Google Sheets Introduction This workflow template demonstrates how to quickly and easily create a simple REST API using n8n and a Google Sheet as a no-code database. It's a perfect starting point for building a backend for small applications, prototypes, or internal tools without writing any code. Purpose The purpose of this template is to provide a complete, ready-to-use n8n workflow that handles all fundamental CRUD (Create, Read, Update, Delete) operations. The workflow uses a single Webhook trigger to handle POST, GET, PUT, and DELETE requests, allowing you to manage data in your Google Sheet through standard API calls. Setup Instructions To get started with this template, follow these steps: Prepare your Google Sheet: Create a new Google Sheet and add the following column headers in the first row: name, email, and status. You can use this example Google Sheet as a starting point. This sheet will serve as your database. Authenticate: In the n8n workflow, connect your Google Account credentials to the Google Sheets nodes. Select your data: Choose the Google Sheet and the corresponding sheet name from the drop-down lists in each of the Google Sheets nodes. Activate: Save and activate the workflow. Test the API: Use a tool like curl, Postman, or Insomnia to test your new API endpoints. The base URL will be your n8n webhook URL followed by /items. Example curl Commands: POST (Create):** curl -X POST YOUR_N8N_WEBHOOK_URL/items -H "Content-Type: application/json" -d '{"name": "Alice", "email": "alice@example.com", "status": "active"}' GET (Read All):** curl -X GET YOUR_N8N_WEBHOOK_URL/items/all GET (Read Single):** curl -X GET YOUR_N8N_WEBHOOK_URL/items?id=2 PUT (Update):** curl -X PUT YOUR_N8N_WEBHOOK_URL/items?id=2 -H "Content-Type: application/json" -d '{"status": "inactive"}' DELETE (Delete):** curl -X DELETE YOUR_N8N_WEBHOOK_URL/items?id=2 For more detailed instructions, including building the workflow in n8n, check out the full blog post: Build a Simple REST API in 10 Minutes with n8n & Google Sheets
by System Admin
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by System Admin
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by System Admin
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by Evoort Solutions
π Automated Keyword Research Workflow with Google sheet logging & Semrush API Description: Easily collect keywords and country input, run automated keyword research via the Semrush Keyword Research API on RapidAPI, and store results in Google Sheets for seamless tracking and analysis. βοΈ Node-by-Node Explanation π’ On form submission (formTrigger) Collects keyword and country inputs from the user via a simple form to start the research process. Triggers the workflow execution upon submission. π Keyword Research (httpRequest) Sends a POST request with user inputs (keyword and country) to the Semrush Keyword Research. Retrieves keyword suggestions, search volume, and related data for comprehensive keyword insights. π Append Data to Google Sheet (googleSheets) Automatically appends the keyword research results into a connected Google Sheets document. Enables easy tracking, sharing, and further analysis of keyword data. π Example Spreadsheet Structure | Keyword | Country | Search Volume | CPC | Competition | Keyword Difficulty | Related Keywords | Date of Research | |---------------|---------|---------------|------|-------------|--------------------|-------------------------------------|------------------| | keyword1 | US | 10,000 | $2.50| 0.75 | 45 | keyword2, keyword3 | 2025-09-09 | | example term | UK | 15,000 | $1.80| 0.60 | 38 | term1, example keyword | 2025-09-09 | π Benefits π Powered by **Semrush Keyword Research API on RapidAPI:** Reliable, up-to-date keyword insights accessible via a simple API integration. π Fully Automated: From user input to data storage, the process is seamless and requires no manual handling. π Centralized Data Storage: Storing results in Google Sheets ensures accessibility and easy collaboration. π Scalable & Repeatable: Run keyword research on-demand for multiple keywords and countries effortlessly. π Use Cases π’ SEO Agencies: Quickly gather keyword data for clients in different markets using the Semrush Keyword Research. π± Digital Marketing Teams: Monitor and expand keyword strategies by collecting keyword ideas and volume regularly through the Semrush Keyword Research. π Content Creators: Identify trending and high-traffic keywords tailored by country to optimize content via the Semrush Keyword Research API. π Automated Reporting: Generate scheduled keyword research reports by integrating this workflow into larger marketing automation pipelines. π How to Get Your API Key for Semrush Keyword Research Visit the API Page: Go to the Semrush Keyword Research on RapidAPI. Sign Up/Login: Create an account or log in if you already have one. Subscribe to the API: Click "Subscribe to Test" and choose a plan (free or paid). Copy Your API Key: After subscribing, your API Key will be available in the "X-RapidAPI-Key" section under "Endpoints". Use the Key: Include the key in your API requests like this: -H "X-RapidAPI-Key: YOUR_API_KEY" π Customizing the Workflow To modify the automated workflow and adapt it to your specific use case, follow these guidelines: Adjust the Data Retrieval Process: You can modify the data you want to receive from the Semrush API. For example, if youβre only interested in search volume and CPC, you can filter out the other results in the API request. Add More Countries: If you work with multiple regions, modify the workflow to accept multiple country inputs. You could either pass in a list of countries or have a dropdown on the form that lets users select their country of choice. Expand Keyword Types: The workflow can be expanded to collect data for different types of keywords, such as long-tail or LSI (Latent Semantic Indexing) keywords, depending on your SEO needs. Set Up Scheduled Keyword Reporting: To automate reporting, you can schedule keyword research reports to run at regular intervals, such as monthly, using Google Apps Script or another task scheduler. This way, youβll always have fresh data on hand for analysis. β Tips for Smooth Workflow Integration Test Your API Integration: Run a test to check if data is properly flowing into your Google Sheet before automating the process. Set Up Notifications: Use Google Sheets' built-in notifications or an external automation tool (e.g., Zapier, Integromat) to notify you when new data is added or if thereβs an issue with the workflow. Handle Errors Gracefully: Add error handling in your automated process to prevent issues like missing data or API request failures from disrupting your workflow.
by Aitor | 1Node
Overview This n8n workflow provides seamless integration with Cerebras' high-performance inference platform to leverage OpenAI's open-source GPT-OSS-120B model. With industry-leading speeds of thousands of tokens per second and ultra-low latency under 0.5 seconds, this template enables developers and businesses to build responsive AI applications without the complexity of managing infrastructure or dealing with slow response times that plague traditional AI integrations. How it works This streamlined workflow establishes a direct connection to Cerebras' inference API through four simple nodes. When a chat message is received, the workflow processes it through the configured API key, sends it to the Cerebras endpoint with your specified parameters (temperature, completion tokens, top P, reasoning effort), and returns the AI-generated response. Detailed Workflow Explanation 1. When chat message received: This trigger node initiates the workflow whenever a new chat message is detected. It captures the user's input and passes it to the next node in the chain, supporting various input formats and message sources. 2. Set API Key: A manual configuration node where you securely store your Cerebras API key. This node handles authentication and ensures your requests are properly authorized when communicating with the Cerebras inference API. 3. Cerebras endpoint: The core HTTP request node that communicates with Cerebras' chat completions API. This node is pre-configured to work with the GPT-OSS-120B model and includes parameter settings for temperature, completion tokens, top P, and reasoning effort that can be customized based on your specific needs. 4. Return Output: The final node that processes and formats the AI response, delivering the generated text back to your application or user interface in a clean, usable format. Who is it for Developers building real-time chat applications, conversational AI systems, or interactive web applications who need consistent sub-second response times without managing complex AI infrastructure. Content creators and marketing teams who require rapid text generation for blogs, social media content, product descriptions, or marketing copy, enabling faster content production cycles and improved productivity. Businesses implementing customer service automation, lead qualification systems, or interactive FAQ solutions where response latency directly impacts user experience and conversion rates. SaaS companies looking to integrate AI features into existing products without the overhead of training models or managing inference servers, allowing them to focus on core business logic. Researchers and data scientists experimenting with high-performance language models for prototyping, A/B testing different prompting strategies, or conducting performance benchmarks against other AI providers. Startups and small teams seeking enterprise-grade AI capabilities without the infrastructure costs or technical complexity typically associated with large language model deployment. Comprehensive Setup Instructions 1. Cerebras Account Setup Visit Cerebras and create a new account Complete email verification and profile setup Navigate to the API Keys section in your dashboard Generate a new API key and securely store it Review the rate limits for free tier accounts and upgrade if needed 2. N8N Workflow Configuration Import the template into your n8n instance Click on the "Set API Key" node and enter your Cerebras API key Configure the trigger node based on your input source (webhook, manual, scheduled) Test the workflow using the built-in execution feature 3. Parameter Customization Open the "Cerebras endpoint" node to access the parameter configuration Adjust temperature, completion tokens, top P, and reasoning effort based on your use case Save and test the workflow to ensure proper functionality Customization and Configuration Guide Model Parameters in the Cerebras Endpoint Node: Temperature** (0.0-2.0): Lower values (0.1-0.3) for factual, consistent responses; higher values (0.7-1.5) for creative, varied content Completion Tokens**: Set based on expected response length - 150 for short answers, 500+ for detailed explanations, 1000+ for long-form content Top P** (0.1-1.0): Controls response diversity; 0.9 works well for most applications, lower values for more focused responses Reasoning Effort**: Adjusts the model's computational effort for complex reasoning tasks; higher values for analytical or problem-solving queries Use Case Specific Configurations: Customer Support**: Temperature 0.2, moderate completion tokens, consistent helpful responses Creative Writing**: Temperature 1.0-1.2, higher completion tokens for diverse, imaginative content Technical Documentation**: Temperature 0.3, structured output with examples and code snippets Casual Conversation**: Temperature 0.7, balanced creativity and coherence Integration Scenarios: Connect the trigger to webhooks for external application integration Modify the output node to format responses for specific platforms (Slack, Discord, web apps) Add conditional logic to handle different types of user queries Implement input validation and sanitization for production environments Possible Enhancements Multi-model support: Extend the workflow to switch between different Cerebras models based on query complexity or specific requirements. Response caching: Add caching mechanisms to store frequently requested responses, reducing API calls and improving performance. Advanced error handling: Implement retry logic and fallback mechanisms for improved reliability in production environments. Content filtering: Integrate moderation capabilities to ensure appropriate responses in customer-facing applications. Analytics integration: Connect monitoring tools to track usage patterns, response quality, and performance metrics. Multi-channel triggers: Set up automated responses for various platforms like Slack, Discord, or custom webhooks. Template management: Create reusable prompt templates for different scenarios and use cases. Output formatting: Add post-processing for specific output formats (HTML, Markdown, JSON) based on integration requirements.
by Kev
Example generated with this workflow: Simply upload a image and a watermark file, and the workflow will automatically combine them into a professional watermarked image. Use cases include adding logos to content, branding product photos, or protecting images with copyright marks. Good to know Completely free solution with no ongoing costs or subscriptions Processing typically takes 5-15 seconds depending on image size The workflow uses a polling mechanism to check job completion every 3 seconds Supports standard image formats (PNG, JPG, etc.) No credit card required to get started How it works The Form Trigger creates a user-friendly upload interface for two files: main image and watermark Both images are uploaded simultaneously to the API's file storage via parallel HTTP requests The uploaded file URLs are aggregated and used to create an image composition job The workflow polls the API every 3 seconds to check job completion status Once completed, the final watermarked image is downloaded and returned as a file download The watermark is automatically positioned in the bottom-right corner with 50% opacity, but this can be easily customized. How to use The form trigger provides a clean interface, but you can replace this with other triggers like webhooks or manual triggers if needed. The workflow handles all file processing automatically and returns the result as a downloadable file. Requirements Free account at jsoncut.com API key with full access (generated at app.jsoncut.com) HTTP Header Auth credential configured in n8n with header name x-api-key Setup steps Sign up for a free account at jsoncut.com Navigate to your dashboard at app.jsoncut.com β API Keys and create a new key with full access In n8n, create an HTTP Header Auth credential named "JsonCut API Key" Set the header name to x-api-key and the value to your API key Apply this credential to all HTTP Request nodes in the workflow Customising this workflow The watermark positioning, size, and opacity can be easily adjusted by modifying the JSON body in the "Create Job" node. You can change: Position coordinates (x, y values from 0 to 1) Watermark dimensions (width, height in pixels) Transparency (opacity from 0.1 to 1.0) Output image dimensions Fit options (cover, contain, fill) For more advanced image generation examples and configuration options, check out the documentation and image generation examples. For bulk processing, you could extend this workflow to handle multiple images or integrate it with cloud storage/database services.
by System Admin
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by System Admin
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by System Admin
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by System Admin
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