HumationHuman + Automation
Back to Catalog

Automated Instagram lead enrichment with AI insights & KlickTipp CRM integration

KlickTippKlickTipp
267 views
2/3/2026
GitLabWebhookAutomationAPIIssue Tracking
Official Page

Instagram user enrichment, KlickTipp subscription and sending DMs.png

Community Node Disclaimer

This workflow uses KlickTipp community nodes, available for self-hosted n8n instances only.

Who’s it for

Digital marketers, social media managers, and coaches who engage leads through Instagram DMs and want to automate personalized outreach, lead enrichment, and segmentation in KlickTipp — without manual follow-ups or data entry.

How it works

This workflow creates a complete Instagram-to-email enrichment loop — starting with personalized DM outreach, capturing responses via JotForm, enriching profile data, and syncing everything with KlickTipp.

When a workflow trigger or campaign action occurs, it:

  1. Sends a personalized Instagram DM inviting the user to fill out a JotForm.
  2. Listens for form submissions in real time.
  3. Retrieves the lead’s Instagram profile data via the Facebook Graph API.
  4. Matches the username to the Instagram DM ID in a Google Sheet.
  5. Generates AI-powered marketing insights using OpenAI.
  6. Subscribes or updates the lead in KlickTipp, mapping enriched fields and tags.

The result: every DM-initiated lead is captured, analyzed, and segmented — ready for intelligent follow-ups and personalized campaigns.

How to set up

  1. Connect accounts for KlickTipp, JotForm, Google Sheets, Facebook Graph API, and OpenAI.
  2. Set up a KlickTipp tag or campaign trigger to initiate the DM sending.
  3. Create KlickTipp fields for Instagram data (e.g., Bio, Follower count, Insights).
  4. Add tags: Instagram | Outreach, Instagram | Enrichment, Instagram | Username found.
  5. Test a sample flow: send a DM → fill the JotForm → verify data enrichment in KlickTipp.

💡 Pro Tip: Personalize the DM message template and test both personal and business accounts to ensure optimal engagement and AI insight quality.

Requirements

  • Meta (Instagram) Business Account
  • Facebook Graph API with instagram_basic and pages_show_list permissions
  • KlickTipp account with API access
  • OpenAI connection (gpt-4.1-mini model)
  • (Optional) Active Instagram Page connected to your Facebook App for DM messaging

How to customize

  • Adjust DM content and message timing for different campaigns or audiences.
  • Edit tags and field mappings in KlickTipp to match your segmentation logic.
  • Modify the AI prompt to emphasize tone, purchase intent, or niche interests.
  • Add conditional logic (e.g., followers > 1,000 → influencer tag).
  • Extend the flow to LinkedIn, website tracking, or CRM syncing for multi-channel enrichment.

Automated Lead Enrichment with AI Insights

This n8n workflow automates the process of enriching leads captured through Jotform, leveraging AI to extract key information and then storing the enriched data in Google Sheets. It's designed to streamline lead management and provide deeper insights into your prospects.

What it does

This workflow simplifies lead enrichment by performing the following steps:

  1. Triggers on New Jotform Submissions: The workflow starts whenever a new form is submitted via Jotform.
  2. Enriches Lead Data with AI: It uses an AI Agent (powered by an OpenAI Chat Model and a Structured Output Parser) to analyze the Jotform submission data. This AI extracts specific information, such as the lead's Instagram handle and other relevant details, to enrich the lead profile.
  3. Appends to Google Sheet: The enriched lead data, including the AI-generated insights, is then automatically appended as a new row in a designated Google Sheet.
  4. Checks for Instagram Handle: The workflow includes a conditional check (Switch node) to determine if an Instagram handle was successfully extracted by the AI.
  5. Retrieves Instagram Profile Data (Conditional): If an Instagram handle is present, the workflow makes an HTTP Request to the Facebook Graph API to fetch additional public profile information for that Instagram user.
  6. Updates Google Sheet with Instagram Data (Conditional): The retrieved Instagram profile data is then used to update the corresponding lead's row in the Google Sheet.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Jotform Account: An active Jotform account with forms configured to capture lead data.
  • Jotform Credential: An n8n credential configured for your Jotform account.
  • Google Sheets Account: Access to a Google Sheets document where lead data will be stored.
  • Google Sheets Credential: An n8n credential configured for your Google Sheets account.
  • OpenAI API Key: An OpenAI API key for the AI Agent and Chat Model.
  • Facebook Graph API Credential: An n8n credential configured for the Facebook Graph API to access Instagram data. This typically involves a Facebook Developer App and appropriate permissions.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your Jotform Credential in n8n.
    • Set up your Google Sheets Credential in n8n.
    • Set up your OpenAI Credential for the "OpenAI Chat Model" node.
    • Set up your Facebook Graph API Credential for the "Facebook Graph API" node.
  3. Configure Jotform Trigger:
    • In the "Jotform Trigger" node, select the Jotform form you want to monitor for new submissions.
  4. Configure AI Agent:
    • Review and adjust the prompt and tools within the "AI Agent" node to ensure it accurately extracts the desired information (e.g., Instagram handle, name, email) from your Jotform submissions.
    • Ensure the "Structured Output Parser" is configured to match the expected JSON output format from the AI Agent.
  5. Configure Google Sheets Nodes:
    • In the first "Google Sheets" node (for appending data), specify the Spreadsheet ID and Sheet Name where you want to add new leads. Map the incoming data from the AI Agent to the appropriate columns in your sheet.
    • In the second "Google Sheets" node (for updating Instagram data), specify the Spreadsheet ID and Sheet Name. Configure it to update the row based on a unique identifier (e.g., email address) and map the Instagram profile data to the relevant columns.
  6. Configure HTTP Request (Facebook Graph API):
    • In the "HTTP Request" node, ensure the URL and parameters are correctly set up to query the Facebook Graph API for Instagram user data using the extracted Instagram handle.
  7. Activate the Workflow: Once all nodes are configured and credentials are set, activate the workflow.

Now, every new Jotform submission will automatically be processed, enriched with AI insights, and updated with Instagram profile information (if available), providing a comprehensive lead profile in your Google Sheet.

Related Templates

Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets

This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.

Ranjan DailataBy Ranjan Dailata
161

Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax

Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions

Daniel NkenchoBy Daniel Nkencho
601

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 🔗 LinkedIn – Wessel Bulte

Wessel BulteBy Wessel Bulte
247