Automate Reddit brand monitoring & responses with GPT-4o-mini, Sheets & Slack
How it Works
This workflow automates intelligent Reddit marketing by monitoring brand mentions, analyzing sentiment with AI, and engaging authentically with communities. Every 24 hours, the system searches Reddit for posts containing your configured brand keywords across all subreddits, finding up to 50 of the newest mentions to analyze.
Each discovered post is sent to OpenAI's GPT-4o-mini model for comprehensive analysis. The AI evaluates sentiment (positive/neutral/negative), assigns an engagement score (0-100), determines relevance to your brand, and generates contextual, helpful responses that add genuine value to the conversation. It also classifies the response type (educational/supportive/promotional) and provides reasoning for whether engagement is appropriate.
The workflow intelligently filters posts using a multi-criteria system: only posts that are relevant to your brand, score above 60 in engagement quality, and warrant a response type other than "pass" proceed to engagement. This prevents spam and ensures every interaction is meaningful.
Selected posts are processed one at a time through a loop to respect Reddit's rate limits. For each worthy post, the AI-generated comment is posted, and complete interaction data is logged to Google Sheets including timestamp, post details, sentiment, engagement scores, and success status. This creates a permanent audit trail and analytics database.
At the end of each run, the workflow aggregates all data into a comprehensive daily summary report with total posts analyzed, comments posted, engagement rate, sentiment breakdown, and the top 5 engagement opportunities ranked by score. This report is automatically sent to Slack with formatted metrics, giving your team instant visibility into your Reddit marketing performance.
Who is this for?
- Brand managers and marketing teams needing automated social listening and engagement on Reddit
- Community managers responsible for authentic brand presence across multiple subreddits
- Startup founders and growth marketers who want to scale Reddit marketing without hiring a team
- PR and reputation teams monitoring brand sentiment and responding to discussions in real-time
- Product marketers seeking organic engagement opportunities in product-related communities
- Any business that wants to build authentic Reddit presence while avoiding spammy marketing tactics
Setup Steps
- Setup time: Approx. 30-40 minutes (credential configuration, keyword setup, Google Sheets creation, Slack integration)
- Requirements:
- Reddit account with OAuth2 application credentials (create at reddit.com/prefs/apps)
- OpenAI API key with GPT-4o-mini access
- Google account with a new Google Sheet for tracking interactions
- Slack workspace with posting permissions to a marketing/monitoring channel
- Brand keywords and subreddit strategy prepared
- Create Reddit OAuth Application: Visit reddit.com/prefs/apps, create a "script" type app, and obtain your client ID and secret
- Configure Reddit Credentials in n8n: Add Reddit OAuth2 credentials with your app credentials and authorize access
- Set up OpenAI API: Obtain API key from platform.openai.com and configure in n8n OpenAI credentials
- Create Google Sheet: Set up a new sheet with columns: timestamp, postId, postTitle, subreddit, postUrl, sentiment, engagementScore, responseType, commentPosted, reasoning
- Configure these nodes:
- Brand Keywords Config: Edit the JavaScript code to include your brand name, product names, and relevant industry keywords
- Search Brand Mentions: Adjust the limit (default 50) and sort preference based on your needs
- AI Post Analysis: Customize the prompt to match your brand voice and engagement guidelines
- Filter Engagement-Worthy: Adjust the engagementScore threshold (default 60) based on your quality standards
- Loop Through Posts: Configure max iterations and batch size for rate limit compliance
- Log to Google Sheets: Replace YOUR_SHEET_ID with your actual Google Sheets document ID
- Send Slack Report: Replace YOUR_CHANNEL_ID with your Slack channel ID
- Test the workflow: Run manually first to verify all connections work and adjust AI prompts
- Activate for daily runs: Once tested, activate the Schedule Trigger to run automatically every 24 hours
Node Descriptions (10 words each)
- Daily Marketing Check - Schedule trigger runs workflow every 24 hours automatically daily
- Brand Keywords Config - JavaScript code node defining brand keywords to monitor Reddit
- Search Brand Mentions - Reddit node searches all subreddits for brand keyword mentions
- AI Post Analysis - OpenAI analyzes sentiment, relevance, generates contextual helpful comment responses
- Filter Engagement-Worthy - Conditional node filters only high-quality relevant posts worth engaging
- Loop Through Posts - Split in batches processes each post individually respecting limits
- Post Helpful Comment - Reddit node posts AI-generated comment to worthy Reddit discussions
- Log to Google Sheets - Appends all interaction data to spreadsheet for permanent tracking
- Generate Daily Summary - JavaScript aggregates metrics, sentiment breakdown, generates comprehensive daily report
- Send Slack Report - Posts formatted daily summary with metrics to team Slack channel
Automate Reddit Brand Monitoring & Responses with GPT-4o Mini, Google Sheets & Slack
This n8n workflow automates the process of monitoring Reddit for brand mentions, analyzing their sentiment using GPT-4o Mini, recording them in a Google Sheet, and notifying a Slack channel for potential responses. It streamlines reputation management and ensures timely engagement with your audience on Reddit.
What it does
- Triggers on Schedule: The workflow runs on a predefined schedule (e.g., every hour, daily) to check for new Reddit mentions.
- Searches Reddit: It queries Reddit for posts and comments containing specific keywords related to your brand.
- Analyzes Sentiment with OpenAI (GPT-4o Mini): Each Reddit item is sent to OpenAI's GPT-4o Mini to determine its sentiment (e.g., positive, negative, neutral) and extract key insights.
- Filters for Actionable Mentions: The workflow can be configured to filter out mentions that don't require immediate attention, focusing only on relevant or critical posts.
- Logs to Google Sheets: Relevant Reddit mentions, their sentiment, and other extracted data are recorded in a Google Sheet for historical tracking and analysis.
- Notifies Slack: Critical or actionable Reddit mentions are posted to a designated Slack channel, including details like the post content, sentiment, and a link to the original Reddit thread, prompting team members to respond.
- Loops over items: The workflow processes Reddit items in batches, ensuring efficient handling of multiple mentions.
Prerequisites/Requirements
- n8n Instance: A running n8n instance (cloud or self-hosted).
- Reddit Account: A Reddit account with API access configured as an n8n credential.
- OpenAI API Key: An OpenAI API key with access to GPT-4o Mini (or another preferred model) configured as an n8n credential.
- Google Sheets Account: A Google Sheets account where the monitoring data will be stored. You'll need to create a spreadsheet and configure access for n8n.
- Slack Account: A Slack workspace and a channel where notifications will be posted. You'll need to configure a Slack credential for n8n.
Setup/Usage
- Import the Workflow:
- Download the provided JSON file.
- In your n8n instance, go to "Workflows" and click "New".
- Click the "Import from JSON" button and paste the workflow JSON or upload the file.
- Configure Credentials:
- Locate the Reddit, OpenAI, Google Sheets, and Slack nodes.
- For each node, click on the "Credential" field and either select an existing credential or create a new one following the n8n documentation for each service.
- Customize Nodes:
- Schedule Trigger: Adjust the schedule to your desired frequency (e.g., every 30 minutes, daily at a specific time).
- Reddit:
- Configure the "Search Term" to include your brand name, product names, or relevant keywords.
- Specify the "Subreddit" if you want to monitor specific communities, or leave it blank to search across all of Reddit.
- Adjust the "Limit" to control how many posts are retrieved per run.
- OpenAI:
- Ensure the "Model" is set to
gpt-4o-minior your preferred model. - Review the prompt to ensure it effectively extracts sentiment and insights relevant to your needs.
- Ensure the "Model" is set to
- If (Filter): Customize the conditions in this node to filter Reddit mentions based on sentiment, keywords, or other criteria that determine if a Slack notification is needed.
- Google Sheets:
- Specify the "Spreadsheet ID" and "Sheet Name" where the data will be written.
- Map the data fields from Reddit and OpenAI to the columns in your Google Sheet.
- Slack:
- Specify the "Channel" where notifications should be sent.
- Customize the "Message" to include relevant details from the Reddit post and OpenAI analysis.
- Activate the Workflow: Once all configurations are complete, click the "Activate" toggle in the top right corner of the n8n editor to start the workflow.
Related Templates
Automate Dutch Public Procurement Data Collection with TenderNed
TenderNed Public Procurement What This Workflow Does This workflow automates the collection of public procurement data from TenderNed (the official Dutch tender platform). It: Fetches the latest tender publications from the TenderNed API Retrieves detailed information in both XML and JSON formats for each tender Parses and extracts key information like organization names, titles, descriptions, and reference numbers Filters results based on your custom criteria Stores the data in a database for easy querying and analysis Setup Instructions This template comes with sticky notes providing step-by-step instructions in Dutch and various query options you can customize. Prerequisites TenderNed API Access - Register at TenderNed for API credentials Configuration Steps Set up TenderNed credentials: Add HTTP Basic Auth credentials with your TenderNed API username and password Apply these credentials to the three HTTP Request nodes: "Tenderned Publicaties" "Haal XML Details" "Haal JSON Details" Customize filters: Modify the "Filter op ..." node to match your specific requirements Examples: specific organizations, contract values, regions, etc. How It Works Step 1: Trigger The workflow can be triggered either manually for testing or automatically on a daily schedule. Step 2: Fetch Publications Makes an API call to TenderNed to retrieve a list of recent publications (up to 100 per request). Step 3: Process & Split Extracts the tender array from the response and splits it into individual items for processing. Step 4: Fetch Details For each tender, the workflow makes two parallel API calls: XML endpoint - Retrieves the complete tender documentation in XML format JSON endpoint - Fetches metadata including reference numbers and keywords Step 5: Parse & Merge Parses the XML data and merges it with the JSON metadata and batch information into a single data structure. Step 6: Extract Fields Maps the raw API data to clean, structured fields including: Publication ID and date Organization name Tender title and description Reference numbers (kenmerk, TED number) Step 7: Filter Applies your custom filter criteria to focus on relevant tenders only. Step 8: Store Inserts the processed data into your database for storage and future analysis. Customization Tips Modify API Parameters In the "Tenderned Publicaties" node, you can adjust: offset: Starting position for pagination size: Number of results per request (max 100) Add query parameters for date ranges, status filters, etc. Add More Fields Extend the "Splits Alle Velden" node to extract additional fields from the XML/JSON data, such as: Contract value estimates Deadline dates CPV codes (procurement classification) Contact information Integrate Notifications Add a Slack, Email, or Discord node after the filter to get notified about new matching tenders. Incremental Updates Modify the workflow to only fetch new tenders by: Storing the last execution timestamp Adding date filters to the API query Only processing publications newer than the last run Troubleshooting No data returned? Verify your TenderNed API credentials are correct Check that you have setup youre filter proper Need help setting this up or interested in a complete tender analysis solution? Get in touch π LinkedIn β Wessel Bulte
π How to transform unstructured email data into structured format with AI agent
This workflow automates the process of extracting structured, usable information from unstructured email messages across multiple platforms. It connects directly to Gmail, Outlook, and IMAP accounts, retrieves incoming emails, and sends their content to an AI-powered parsing agent built on OpenAI GPT models. The AI agent analyzes each email, identifies relevant details, and returns a clean JSON structure containing key fields: From β senderβs email address To β recipientβs email address Subject β email subject line Summary β short AI-generated summary of the email body The extracted information is then automatically inserted into an n8n Data Table, creating a structured database of email metadata and summaries ready for indexing, reporting, or integration with other tools. --- Key Benefits β Full Automation: Eliminates manual reading and data entry from incoming emails. β Multi-Source Integration: Handles data from different email providers seamlessly. β AI-Driven Accuracy: Uses advanced language models to interpret complex or unformatted content. β Structured Storage: Creates a standardized, query-ready dataset from previously unstructured text. β Time Efficiency: Processes emails in real time, improving productivity and response speed. *β Scalability: Easily extendable to handle additional sources or extract more data fields. --- How it works This workflow automates the transformation of unstructured email data into a structured, queryable format. It operates through a series of connected steps: Email Triggering: The workflow is initiated by one of three different email triggers (Gmail, Microsoft Outlook, or a generic IMAP account), which constantly monitor for new incoming emails. AI-Powered Parsing & Structuring: When a new email is detected, its raw, unstructured content is passed to a central "Parsing Agent." This agent uses a specified OpenAI language model to intelligently analyze the email text. Data Extraction & Standardization: Following a predefined system prompt, the AI agent extracts key information from the email, such as the sender, recipient, subject, and a generated summary. It then forces the output into a strict JSON structure using a "Structured Output Parser" node, ensuring data consistency. Data Storage: Finally, the clean, structured data (the from, to, subject, and summarize fields) is inserted as a new row into a specified n8n Data Table, creating a searchable and reportable database of email information. --- Set up steps To implement this workflow, follow these configuration steps: Prepare the Data Table: Create a new Data Table within n8n. Define the columns with the following names and string type: From, To, Subject, and Summary. Configure Email Credentials: Set up the credential connections for the email services you wish to use (Gmail OAuth2, Microsoft Outlook OAuth2, and/or IMAP). Ensure the accounts have the necessary permissions to read emails. Configure AI Model Credentials: Set up the OpenAI API credential with a valid API key. The workflow is configured to use the model, but this can be changed in the respective nodes if needed. Connect the Nodes: The workflow canvas is already correctly wired. Visually confirm that the email triggers are connected to the "Parsing Agent," which is connected to the "Insert row" (Data Table) node. Also, ensure the "OpenAI Chat Model" and "Structured Output Parser" are connected to the "Parsing Agent" as its AI model and output parser, respectively. Activate the Workflow: Save the workflow and toggle the "Active" switch to ON. The triggers will begin polling for new emails according to their schedule (e.g., every minute), and the automation will start processing incoming messages. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
Tax deadline management & compliance alerts with GPT-4, Google Sheets & Slack
AI-Driven Tax Compliance & Deadline Management System Description Automate tax deadline monitoring with AI-powered insights. This workflow checks your tax calendar daily at 8 AM, uses GPT-4 to analyze upcoming deadlines across multiple jurisdictions, detects overdue and critical items, and sends intelligent alerts via email and Slack only when immediate action is required. Perfect for finance teams and accounting firms who need proactive compliance management without manual tracking. ποΈπ€π Good to Know AI-Powered: GPT-4 provides risk assessment and strategic recommendations Multi-Jurisdiction: Handles Federal, State, and Local tax requirements automatically Smart Alerts: Only notifies executives when deadlines are overdue or critical (β€3 days) Priority Classification: Categorizes deadlines as Overdue, Critical, High, or Medium priority Dual Notifications: Critical alerts to leadership + daily summaries to team channel Complete Audit Trail: Logs all checks and deadlines to Google Sheets for compliance records How It Works Daily Trigger - Runs at 8:00 AM every morning Fetch Data - Pulls tax calendar and company configuration from Google Sheets Analyze Deadlines - Calculates days remaining, filters by jurisdiction/entity type, categorizes by priority AI Analysis - GPT-4 provides strategic insights and risk assessment on upcoming deadlines Smart Routing - Only sends alerts if overdue or critical deadlines exist Critical Alerts - HTML email to executives + Slack alert for urgent items Team Updates - Slack summary to finance channel with all upcoming deadlines Logging - Records compliance check results to Google Sheets for audit trail Requirements Google Sheets Structure Sheet 1: TaxCalendar DeadlineID | DeadlineName | DeadlineDate | Jurisdiction | Category | AssignedTo | IsActive FED-Q1 | Form 1120 Q1 | 2025-04-15 | Federal | Income | John Doe | TRUE Sheet 2: CompanyConfig (single row) Jurisdictions | EntityType | FiscalYearEnd Federal, California | Corporation | 12-31 Sheet 3: ComplianceLog (auto-populated) Date | AlertLevel | TotalUpcoming | CriticalCount | OverdueCount 2025-01-15 | HIGH | 12 | 3 | 1 Credentials Needed Google Sheets - Service Account OAuth2 OpenAI - API Key (GPT-4 access required) SMTP - Email account for sending alerts Slack - Bot Token with chat:write permission Setup Steps Import workflow JSON into n8n Add all 4 credentials Replace these placeholders: YOURTAXCALENDAR_ID - Tax calendar sheet ID YOURCONFIGID - Company config sheet ID YOURLOGID - Compliance log sheet ID C12345678 - Slack channel ID tax@company.com - Sender email cfo@company.com - Recipient email Share all sheets with Google service account email Invite Slack bot to channels Test workflow manually Activate the trigger Customizing This Workflow Change Alert Thresholds: Edit "Analyze Deadlines" node: Critical: Change <= 3 to <= 5 for 5-day warning High: Change <= 7 to <= 14 for 2-week notice Medium: Change <= 30 to <= 60 for 2-month lookout Adjust Schedule: Edit "Daily Tax Check" trigger: Change hour/minute for different run time Add multiple trigger times for tax season (8 AM, 2 PM, 6 PM) Add More Recipients: Edit "Send Email" node: To: cfo@company.com, director@company.com CC: accounting@company.com BCC: archive@company.com Customize Email Design: Edit "Format Email" node to change colors, add logo, or modify layout Add SMS Alerts: Insert Twilio node after "Is Critical" for emergency notifications Integrate Task Management: Add HTTP Request node to create tasks in Asana/Jira for critical deadlines Troubleshooting | Issue | Solution | |-------|----------| | No deadlines found | Check date format (YYYY-MM-DD) and IsActive = TRUE | | AI analysis failed | Verify OpenAI API key and account credits | | Email not sending | Test SMTP credentials and check if critical condition met | | Slack not posting | Invite bot to channel and verify channel ID format | | Permission denied | Share Google Sheets with service account email | π Professional Services Need help with implementation or customization? Our team offers: π― Custom workflow development π’ Enterprise deployment support π Team training sessions π§ Ongoing maintenance π Custom reporting & dashboards π Additional API integrations Discover more workflows β Get in touch with us