This article provides a complete, practical walkthrough of the Wait Lemlist Create Scheduled 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:
   Automating Email Campaigns from LinkedIn Post Interactions Using n8n
   
   Meta Description:
   Learn how to automate email campaign creation from LinkedIn post interactions using n8n, Airtable, Dropcontact, Lemlist, Hubspot, and Phantombuster. Perfect for modern marketers looking to scale outreach.
   
   Keywords:
   n8n workflow, marketing automation, LinkedIn automation, Dropcontact, Lemlist, Hubspot, Airtable CRM, Phantombuster, email campaign automation, lead generation
   
   Third-Party APIs Used:
   
   - LinkedIn via Phantombuster
   - Dropcontact API
   - Airtable API
   - Lemlist API
   - Hubspot API
   
   Article:
   
   Automating Email Campaigns from LinkedIn Post Interactions Using n8n
   
   For modern marketers and growth hackers, LinkedIn is a goldmine of warm leads. But manually scraping interactions from posts, identifying leads, and crafting email campaigns can not only be cumbersome — it’s also unsustainable as your outreach scales. Enter automation powerhouses like n8n, which allow you to integrate multiple services into powerful marketing workflows.
   
   In this post, we'll break down a real-life n8n workflow designed to automatically create personalized email campaigns from people who have liked or commented on a specific LinkedIn post. Using a combination of n8n and five third-party APIs — Phantombuster, Dropcontact, Airtable, Lemlist, and Hubspot — this workflow streamlines lead collection, enrichment, and outreach.
   
   Overview of the Workflow
   
   At a high level, this workflow does the following:
   
   - Every hour, fetches users who liked or commented on a LinkedIn post.
   - Enriches their data using Dropcontact (to find validated emails, phone numbers, companies).
   - Checks if they already exist in Airtable.
   - Creates or updates the contact in Airtable.
   - Pushes the lead to Lemlist to start an email campaign.
   - Adds them to Hubspot for long-term CRM tracking.
   
   Let’s explore how this seamless automation unfolds step-by-step:
   
   Step 1: Timed Trigger Using Cron
   The workflow kicks off with a Cron node that triggers every hour. This ensures you’re regularly pulling interactions from your designated LinkedIn post.
   
   Step 2: Collecting LinkedIn Post Interactions via Phantombuster
   Two separate Phantombuster agents are triggered to gather:
   
   - Commenters on the LinkedIn post
   - Likers of the LinkedIn post
   
   These agents are executed manually and fetch lists of LinkedIn user profiles interacting with your post.
   
   Step 3: Wait for Completion
   To ensure the data is ready, the workflow includes a 30-second wait via the Wait node before retrieving the output of the Phantombuster calls.
   
   Step 4: Data Enrichment with Dropcontact
   The extracted LinkedIn profile data is then passed to the Dropcontact API to enrich each lead with professional data such as:
   
   - Full name
   - Email address
   - Phone number
   - LinkedIn URL
   - Company name and website
   
   This is a crucial part of the workflow, turning anonymous LinkedIn interactions into targeted leads.
   
   Step 5: Airtable — Contact Management Layer
   With the enriched data, the workflow checks Airtable to see if the email from Dropcontact already exists in your Contacts table.
   
   - If the contact exists, the record is updated with new values.
   - If it doesn’t, a new record is created.
   
   This helps to avoid data duplication while ensuring your CRM contains the latest information.
   
   Step 6: Launching Email Campaigns via Lemlist
   Once a contact is confirmed or created in Airtable, the email and contact details are passed to Lemlist, a popular email outreach tool. Lemlist adds them to a predefined email campaign, personalizing fields like:
   
   - First Name
   - Last Name
   - Company Name
   
   This touch immediately engages with the lead based on their interaction with your LinkedIn content.
   
   Step 7: Sync with Hubspot CRM
   Finally, each enriched contact is also added to Hubspot with fields like:
   
   - Email
   - Phone
   - Website
   - Company
   - First/Last Name
   - City
   - Gender
   - Source (marked as “SOCIAL_MEDIA”)
   
   This ensures your long-term CRM captures the complete profile of every new lead, keeping your sales team fully informed and ready to follow up.
   
   Why This Workflow Matters
   
   This workflow is a textbook example of how sales and marketing automation can save hours of manual effort and increase efficiency. Its benefits include:
   
   - Keeping your CRM and cold outreach tools consistently updated
   - Capturing warm leads automatically from content you’ve already created
   - Enhancing personalization at scale through enrichment tools like Dropcontact
   - Bridging the gap between social media engagement and pipeline generation
   
   Conclusion
   
   If you're actively posting on LinkedIn to generate interest in your product or service, this automation can significantly level up your efforts. Set it up once, and you have a self-updating lead engine that powers your email marketing and CRM in parallel.
   
   As tools like n8n continue to expand, the possibilities for no-code marketing automation are virtually limitless. By intelligently integrating platforms like LinkedIn, Hubspot, Airtable, Lemlist and enrichment services like Dropcontact, you're no longer chasing leads — they come directly to your inbox and CRM, fully primed for engagement.
   
   Looking to take this workflow live? All it takes is an n8n instance and credentials for the external APIs, and you’re rolling.
   
   Happy automating!

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.