This article provides a complete, practical walkthrough of the Http Github Send Webhook 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 GitHub and Pipedrive Integration with n8n: Track Pull Requests from Your Contacts
   
   Meta Description:
   Learn how to use n8n to seamlessly integrate GitHub and Pipedrive by automatically logging pull request activity from known contacts. Discover a step-by-step automation that enhances your visibility into developer engagement.
   
   Keywords:
   n8n automation, GitHub workflow, Pipedrive integration, pull request tracking, CRM automation, GitHub API, Pipedrive API, no-code workflow, developer engagement, SaaS automation
   
   Third-Party APIs Used:
   
   - GitHub API
   - Pipedrive API
   
   Article:
   
   Automating Developer Engagement Tracking: A GitHub–Pipedrive Integration Using n8n
   
   In modern software organizations, staying on top of developer activity is essential for both engineering and customer success teams. If your customers or leads are software developers engaging with your public GitHub repositories, being aware of their activity—such as pull requests (PRs)—can give your team valuable insights. However, keeping track of contributions across both GitHub and your CRM can be tedious and time-consuming—unless it's automated.
   
   This article walks through an n8n automation that connects GitHub to Pipedrive, allowing teams to automatically log pull request activity as notes on contact records in Pipedrive. You’ll gain visibility into which known individuals are contributing to your codebase directly from your CRM.
   
   The Use Case
   
   Imagine someone opens a pull request in your GitHub repository. You’d like to know whether that person is already a contact in your CRM (in this case, Pipedrive). If they are, you want to log a note to their record saying they opened a PR, along with a link. This helps teams track engagement passively and personalize follow-up actions, like customer support or business development outreach.
   
   The n8n Workflow Overview
   
   This workflow uses n8n, an open-source workflow automation tool, to streamline the GitHub-to-Pipedrive connection. Here are the steps it follows:
   
   1. GitHub Pull Request Trigger
   The automation begins with a GitHub Trigger node that listens for pull_request events from the repository titled "DemoRepo," owned by the user "John-n8n." When a pull request is created, it triggers the workflow automatically.
   
   2. Enriching GitHub User Data
   When the workflow is triggered, it fetches additional user data using the GitHub API via an HTTP Request node. Specifically, it extracts metadata about the PR sender from the GitHub event payload, such as the sender’s URL.
   
   3. Searching for the User in Pipedrive
   The next step is a Pipedrive node that searches for the PR creator’s email in your Pipedrive instance. Assuming the PR metadata includes a valid and accessible email address (manually mapped from sender data), this search determines whether the PR author is already in your CRM.
   
   4. Conditional Check: Is the Person Found?
   An IF node checks whether a “name” field is returned—this serves as confirmation that the person exists in your Pipedrive account.
   
   - If the person is found: The workflow proceeds to the next step.
   - If not: The workflow does nothing (via a NoOp node), preventing unnecessary note creation.
   
   5. Logging the Pull Request as a Note in Pipedrive
   If the person exists in Pipedrive, a final Pipedrive node creates a note on their contact record. The note includes the text “Created a PR” followed by a link to the pull request, making it easy for the team to access the GitHub contribution directly from Pipedrive.
   
   Benefits of the Workflow
   
   - Centralized Engagement View: See open-source or user-generated contributions in the same space as your sales or support conversations.
   - Enhanced Personalization: Use context to tailor your outreach based on how users engage with your product.
   - No-Code Simplicity: Thanks to n8n’s visual editor, the workflow can be extended or modified easily without writing traditional code.
   - Real-Time Logging: PRs are logged as soon as they’re created, enabling timely follow-ups or alerts.
   - Avoids Redundant Actions: By checking whether the contact exists before writing the note, the workflow ensures data cleanliness and relevance.
   
   Extending the Workflow
   
   This base automation can be extended in many ways:
   
   - Create new contacts in Pipedrive if the person doesn’t already exist.
   - Send a Slack alert to your team when important contacts open a PR.
   - Aggregate PR activity into a weekly digest for customer success teams.
   
   Conclusion
   
   With tools like n8n, you can create robust automations that bridge developer activity and CRM workflows without writing a single line of code. By connecting GitHub and Pipedrive, this automation helps your team stay informed and proactive in managing developer relationships and open-source contributions.
   
   Try deploying this workflow in your own n8n instance, and stay ahead of user engagement in real time—right from your CRM.
   
   Ready to automate? Start building your n8n workflows today!

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.