HumationHuman + Automation
Back to Catalog

Automate social media headlines with Bright Data & n8n

Yaron BeenYaron Been
577 views
2/3/2026
Data TransferIntegrationData ProcessingHTTP RequestShell Command
Official Page

Description

This workflow automatically finds trending headlines and content from various sources and posts them to your social media accounts. It helps maintain an active social media presence without the daily manual effort of content curation.

Overview

This workflow automatically scrapes trending headlines and content from various sources and posts them to your social media accounts. It uses Bright Data to access content and n8n to schedule and post to platforms like Twitter, LinkedIn, or Facebook.

Tools Used

  • n8n: The automation platform that orchestrates the workflow.
  • Bright Data: For scraping trending content from news sites, blogs, or other sources without getting blocked.
  • Social Media APIs: To post content to your accounts.

How to Install

  1. Import the Workflow: Download the .json file and import it into your n8n instance.
  2. Configure Bright Data: Add your Bright Data credentials to the Bright Data node.
  3. Connect Social Media: Authenticate your social media accounts.
  4. Customize: Set your content preferences, posting schedule, and hashtag strategy.

Use Cases

  • Social Media Managers: Automate content curation and posting.
  • Content Creators: Share trending topics in your niche.
  • Businesses: Maintain an active social media presence with minimal effort.

Connect with Me

#n8n #automation #socialmedia #brightdata #contentcuration #scheduling #socialmediaautomation #contentmarketing #socialmediamanagement #autoposting #trendingcontent #n8nworkflow #workflow #nocode #socialmediatools #digitalmarketing #contentcalendar #socialmediapresence #headlinecuration #trendalerts #socialmediaschedule #contentautomation #socialmediamarketing #contentdistribution #automatedposting #socialmediastrategy

Automate Social Media Headlines with Bright Data & n8n

This n8n workflow automates the process of generating engaging social media headlines using an AI agent and then publishing them to X (formerly Twitter) and LinkedIn. It's designed to streamline content creation and distribution for social media managers and marketers.

What it does

  1. Manual Trigger: The workflow is initiated manually, allowing you to control when new headlines are generated and posted.
  2. HTTP Request: It makes an HTTP request to an unspecified API endpoint. Based on the directory name "5215-automate-social-media-headlines-with-bright-data--n8n", this node is likely intended to interact with Bright Data to fetch data or perform web scraping, although the JSON itself doesn't specify the URL or parameters.
  3. HTML Processing: The response from the HTTP request is then processed as HTML. This suggests that the HTTP request likely retrieves HTML content which is then parsed.
  4. Edit Fields (Set): This node is used to transform or set specific fields in the data, likely preparing it for the AI agent.
  5. AI Agent (LangChain): An AI Agent, powered by LangChain, takes the processed data and generates social media headlines. This node acts as the core intelligence for content creation.
  6. OpenAI Chat Model: The AI Agent utilizes an OpenAI Chat Model to perform its natural language generation tasks, leveraging advanced AI capabilities to craft compelling headlines.
  7. X (Formerly Twitter) Post: The generated headlines are then automatically posted to X (formerly Twitter).
  8. LinkedIn Post: Concurrently, the headlines are also posted to LinkedIn, ensuring broad social media coverage.

Prerequisites/Requirements

  • n8n Instance: A running instance of n8n.
  • Bright Data Account (Assumed): While not explicitly defined in the JSON, the workflow directory name suggests an integration with Bright Data. You would likely need an account and API access if this node is configured for it.
  • OpenAI API Key: For the OpenAI Chat Model to function, you will need an OpenAI API key configured as a credential in n8n.
  • X (Formerly Twitter) Account: An X account and corresponding n8n credentials set up for posting.
  • LinkedIn Account: A LinkedIn account and corresponding n8n credentials set up for posting.

Setup/Usage

  1. Import the workflow: Download the JSON provided and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenAI API Key credential.
    • Configure your X (formerly Twitter) credential.
    • Configure your LinkedIn credential.
  3. Configure HTTP Request Node:
    • Update the "HTTP Request" node (ID: 19) with the correct URL, method, and any necessary headers or body for your Bright Data (or other) API interaction.
  4. Configure HTML Node:
    • Adjust the "HTML" node (ID: 842) if specific CSS selectors or parsing rules are needed to extract the relevant content from the HTTP response.
  5. Configure Edit Fields Node:
    • Modify the "Edit Fields" node (ID: 38) to ensure the data is correctly structured for the AI Agent.
  6. Configure AI Agent and OpenAI Chat Model:
    • Review the "AI Agent" (ID: 1119) and "OpenAI Chat Model" (ID: 1153) nodes. You may need to adjust the prompt or model parameters to fine-tune headline generation.
  7. Configure Social Media Nodes:
    • Ensure the "X" (ID: 325) and "LinkedIn" (ID: 367) nodes are configured to post the correct output from the AI Agent.
  8. Execute the workflow: Click "Execute workflow" on the "Manual Trigger" node (ID: 838) to run the workflow and generate/post headlines.

Related Templates

Automate event RSVPs with email validation & badge generation using VerifiEmail & HTMLCssToImage

Validated RSVP Confirmation with Automated Badge Generation Overview: This comprehensive workflow automates the entire event RSVP process from form submission to attendee confirmation, including real-time email validation and personalized digital badge generation. ✨ KEY FEATURES: • Real-time Email Validation - Verify attendee emails using VerifiEmail API to prevent fake registrations • Automated Badge Generation - Create beautiful, personalized event badges with attendee details • Smart Email Routing - Send confirmation emails with badges for valid emails, rejection notices for invalid ones • Comprehensive Logging - Track all RSVPs (both valid and invalid) in Google Sheets for analytics • Dual Path Logic - Handle valid and invalid submissions differently with conditional branching • Anti-Fraud Protection - Detect disposable emails and invalid domains automatically 🔧 WORKFLOW COMPONENTS: Webhook Trigger - Receives RSVP submissions Email Validation - Verifies email authenticity using VerifiEmail API Conditional Logic - Separates valid from invalid submissions Badge Creator - Generates HTML-based personalized event badges Image Converter - Converts HTML badges to shareable PNG images using HTMLCssToImage Email Sender - Delivers confirmation with badge or rejection notice via Gmail Data Logger - Records all attempts in Google Sheets for tracking and analytics 🎯 PERFECT FOR: • Conference organizers managing hundreds of RSVPs • Corporate event planners requiring verified attendee lists • Webinar hosts preventing fake registrations • Workshop coordinators issuing digital badges • Community event managers tracking attendance 💡 BENEFITS: • Reduces manual verification time by 95% • Eliminates fake email registrations • Creates professional branded badges automatically • Provides real-time RSVP tracking and analytics • Improves attendee experience with instant confirmations • Maintains clean, verified contact lists 🛠️ REQUIRED SERVICES: • n8n (cloud or self-hosted) • VerifiEmail API (https://verifi.email) • HTMLCssToImage API (https://htmlcsstoimg.com) • Gmail account (OAuth2) • Google Sheets 📈 USE CASE SCENARIO: When someone submits your event RSVP form, this workflow instantly validates their email, generates a personalized badge with their details, and emails them a confirmation—all within seconds. Invalid emails receive a helpful rejection notice, and every submission is logged for your records. No manual work required! 🎨 BADGE CUSTOMIZATION: The workflow includes a fully customizable HTML badge template featuring: • Gradient background with modern design • Attendee name, designation, and organization • Event name and date • Email address and validation timestamp • Google Fonts (Poppins) for professional typography 📊 ANALYTICS INCLUDED: Track metrics like: • Total RSVPs received • Valid vs invalid email ratio • Event-wise registration breakdown • Temporal patterns • Organization/company distribution ⚡ PERFORMANCE: • Processing time: ~3-5 seconds per RSVP • Scales to handle 100+ concurrent submissions • Email delivery within 10 seconds • Real-time Google Sheets updates 🔄 EASY SETUP: Import the workflow JSON Configure your credentials (detailed instructions included) Create your form with required fields (name, email, event, designation, organization) Connect the webhook Activate and start receiving validated RSVPs! 🎓 LEARNING VALUE: This workflow demonstrates: • Webhook integration patterns • API authentication methods • Conditional workflow branching • HTML-to-image conversion • Email automation best practices • Data logging strategies • Error handling techniques ---

Jitesh DugarBy Jitesh Dugar
67

Track daily moods with AI analysis & reports using GPT-4o, Data Tables & Gmail

Track your daily mood in one tap and receive automated AI summaries of your emotional trends every week and month. Perfect for self-reflection, wellness tracking, or personal analytics. This workflow logs moods sent through a webhook (/mood) into Data Tables, analyzes them weekly and monthly with OpenAI (GPT-4o), and emails you clear summaries and actionable recommendations via Gmail. ⚙️ How It Works Webhook – Mood → Collects new entries (🙂, 😐, or 😩) plus an optional note. Set Mood Data → Adds date, hour, and note fields automatically. Insert Mood Row → Stores each record in a Data Table. Weekly Schedule (Sunday 20:00) → Aggregates the last 7 days and sends a summarized report. Monthly Schedule (Day 1 at 08:00) → Aggregates the last 30 days for a deeper AI analysis. OpenAI Analysis → Generates insights, patterns, and 3 actionable recommendations. Gmail → Sends the full report (chart + AI text) to your inbox. 📊 Example Auto-Email Weekly Mood Summary (last 7 days) 🙂 5 ██████████ 😐 2 ████ 😩 0 Average: 1.7 (Positive 🙂) AI Insights: You’re trending upward this week — notes show that exercise days improved mood. Try keeping short walks mid-week to stabilize energy. 🧩 Requirements n8n Data Tables enabled OpenAI credential (GPT-4o or GPT-4 Turbo) Gmail OAuth2 credential to send summaries 🔧 Setup Instructions Connect your credentials: Add your own OpenAI and Gmail OAuth2 credentials. Set your Data Table ID: Open the Insert Mood Row node and enter your own Data Table ID. Without this, new moods won’t be stored. Replace the email placeholder: In the Gmail nodes, replace your.email@example.com with your actual address. Deploy and run: Send a test POST request to /mood (e.g. { "mood": "🙂", "note": "productive day" }) to log your first entry. ⚠️ Before activating the workflow, ensure you have configured the Data Table ID in the “Insert Mood Row” node. 🧠 AI Analysis Interprets mood patterns using GPT-4o. Highlights trends, potential triggers, and suggests 3 specific actions. Runs automatically every week and month. 🔒 Security No personal data is exposed outside your n8n instance. Always remove or anonymize credential references before sharing publicly. 💡 Ideal For Personal mood journaling and AI feedback Therapists tracking client progress Productivity or self-quantification projects 🗒️ Sticky Notes Guide 🟡 Mood Logging Webhook POST /mood receives mood + optional note. ⚠️ Configure your own Data Table ID in the “Insert Mood Row” node before running. 🟢 Weekly Summary Runs every Sunday 20:00 → aggregates last 7 days → generates AI insights + emails report. 🔵 Monthly Summary Runs on Day 1 at 08:00 → aggregates last 30 days → creates monthly reflection. 🟣 AI Analysis Uses OpenAI GPT-4o to interpret trends and recommend actions. 🟠 Email Delivery Sends formatted summaries to your inbox automatically.

Jose CastilloBy Jose Castillo
105

IT ops AI SlackBot workflow - chat with your knowledge base

Video Demo: Click here to see a video of this workflow in action. Summary Description: The "IT Department Q&A Workflow" is designed to streamline and automate the process of handling IT-related inquiries from employees through Slack. When an employee sends a direct message (DM) to the IT department's Slack channel, the workflow is triggered. The initial step involves the "Receive DMs" node, which listens for new messages. Upon receiving a message, the workflow verifies the webhook by responding to Slack's challenge request, ensuring that the communication channel is active and secure. Once the webhook is verified, the workflow checks if the message sender is a bot using the "Check if Bot" node. If the sender is identified as a bot, the workflow terminates the process to avoid unnecessary actions. If the sender is a human, the workflow sends an acknowledgment message back to the user, confirming that their query is being processed. This is achieved through the "Send Initial Message" node, which posts a simple message like "On it!" to the user's Slack channel. The core functionality of the workflow is powered by the "AI Agent" node, which utilizes the OpenAI GPT-4 model to interpret and respond to the user's query. This AI-driven node processes the text of the received message, generating an appropriate response based on the context and information available. To maintain conversation context, the "Window Buffer Memory" node stores the last five messages from each user, ensuring that the AI agent can provide coherent and contextually relevant answers. Additionally, the workflow includes a custom Knowledge Base (KB) tool (see that tool template here) that integrates with the AI agent, allowing it to search the company's internal KB for relevant information. After generating the response, the workflow cleans up the initial acknowledgment message using the "Delete Initial Message" node to keep the conversation thread clean. Finally, the generated response is sent back to the user via the "Send Message" node, providing them with the information or assistance they requested. This workflow effectively automates the IT support process, reducing response times and improving efficiency. To quickly deploy the Knowledge Ninja app in Slack, use the app manifest below and don't forget to replace the two sample urls: { "display_information": { "name": "Knowledge Ninja", "description": "IT Department Q&A Workflow", "background_color": "005e5e" }, "features": { "bot_user": { "display_name": "IT Ops AI SlackBot Workflow", "always_online": true } }, "oauth_config": { "redirect_urls": [ "Replace everything inside the double quotes with your slack redirect oauth url, for example: https://n8n.domain.com/rest/oauth2-credential/callback" ], "scopes": { "user": [ "search:read" ], "bot": [ "chat:write", "chat:write.customize", "groups:history", "groups:read", "groups:write", "groups:write.invites", "groups:write.topic", "im:history", "im:read", "im:write", "mpim:history", "mpim:read", "mpim:write", "mpim:write.topic", "usergroups:read", "usergroups:write", "users:write", "channels:history" ] } }, "settings": { "event_subscriptions": { "request_url": "Replace everything inside the double quotes with your workflow webhook url, for example: https://n8n.domain.com/webhook/99db3e73-57d8-4107-ab02-5b7e713894ad", "bot_events": [ "message.im" ] }, "orgdeployenabled": false, "socketmodeenabled": false, "tokenrotationenabled": false } }

Angel MenendezBy Angel Menendez
39013