This article provides a complete, practical walkthrough of the Slack Typeform Create Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Streamlining Lead Management: Automate Typeform Submissions with Airtable, Dropcontact, and Slack Using n8n
   
   Meta Description:
   Automate your lead management workflow with n8n by connecting Typeform, Dropcontact, Airtable, and Slack. Enhance your CRM process with enriched data and real-time notifications for new and existing leads.
   
   Keywords:
   n8n workflow, Typeform automation, Airtable CRM, Dropcontact enrichment, Slack alerts, lead management automation, lead enrichment, no-code automation, Airtable integration, Typeform to Airtable
   
   Third-party APIs Used:
   
   - Typeform API
   - Dropcontact API
   - Airtable API
   - Slack API
   
   Article:
   
   In today’s fast-paced digital landscape, businesses must act quickly and smartly when capturing and handling new leads. Manually logging contact data from form responses, enriching it, and updating CRM databases can be time-consuming and error-prone. This is where n8n, a powerful open-source automation tool, steps in to streamline your lead management pipeline.
   
   In this article, we’ll explore an automated workflow built in n8n that connects Typeform, Dropcontact, Airtable, and Slack. The result is a fully automated process that captures lead data, enriches it with professional details, updates a centralized database in Airtable, and notifies your team on Slack — all in real time.
   
   Let’s dive into how this workflow works.
   
   Step 1: Capturing Leads with Typeform
   The process begins when a prospect submits a form through Typeform. The “Typeform Trigger” node in n8n listens for new submissions and captures the user-inputted data, which may include Name, Company, Website, and Email.
   
   This data is seamlessly passed on to the next stage for enrichment.
   
   Step 2: Enriching Contact Data via Dropcontact
   Once a form is submitted, the “Dropcontact” node kicks in. Dropcontact is a data enrichment service that provides additional professional information such as verified email addresses, phone numbers, LinkedIn profiles, company info, industry, and SIRET-based address details (used in France).
   
   Using the first name, last name, company, and email entered in the form, the Dropcontact API fetches enriched details, significantly enhancing the quality of your contact records.
   
   Step 3: Check for Existing Contact in Airtable
   With the enriched data in hand, the workflow then queries the “Contacts” table in Airtable using a “Filter by Formula” to match the full name from the Dropcontact response. This is handled by the “Airtable - Contact List” node.
   
   This split in the process helps determine whether the lead is new or already exists in the database.
   
   Step 4: Conditional Routing Based on Lead Status
   Using a conditional “if” node named “Contact ID empty?”, the workflow checks whether the Airtable record for this lead exists by evaluating if the record ID is present.
   
   If no matching record is found, it proceeds to create a new contact. If the contact already exists, the workflow updates the existing record with the latest information.
   
   Step 5A: Creating a New Contact
   For brand-new leads, the workflow prepares the enriched data using the “Set - Contacts to create” node and sends it to Airtable through the “Airtable - Create Contacts” node.
   
   After successfully appending the new record, team members are notified via Slack with the message:
   🎉 A new lead has just subscribed!
   
   Step 5B: Updating an Existing Contact
   If the lead already exists, the workflow uses the “Set - Contacts to update” node to prepare the updated information and passes it to the “Airtable - Update Contacts1” node to refresh the existing Airtable record.
   
   A Slack alert is also dispatched:
   🥳 An existing lead has just subscribed!
   
   This real-time update ensures team visibility and avoids duplicate entries in your CRM.
   
   Why This Workflow Matters
   This no-code automation covers multiple essential components of the lead management process:
   
   - Data Capture: Seamlessly integrates Typeform submissions with backend systems.
   - Data Enrichment: Enhances raw data into actionable, professional contact details with Dropcontact.
   - Record Management: Smart logic determines whether to create or update a lead in Airtable.
   - Team Collaboration: Real-time notifications via Slack keep your team instantly informed.
   
   All of this, achieved without manual intervention, allows your sales and marketing teams to focus on what matters most — engaging with leads.
   
   Who Can Benefit?
   - Startups building lead funnels through online forms
   - Sales teams using Airtable as a CRM
   - Marketing teams managing newsletter or product launch subscriptions
   - Operations roles streamlining lead qualification
   
   Conclusion
   This n8n workflow is a great example of how to harness the power of automation and API integrations in a no-code environment. By connecting Typeform, Dropcontact, Airtable, and Slack, you can turn a simple form submission into a fully automated customer intelligence pipeline — enriching contact data, managing your records smartly, and notifying your team in real time.
   
   In an age where timely response and data quality can make or break a sale, workflows like this are not just helpful — they’re essential.
   
   Ready to implement this setup? With just a few API keys and some drag-and-drop logic, you’ll have a scalable, smart lead pipeline up and running in no time.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.