Manual Http Monitor Webhook – Web Scraping & Data Extraction | Complete n8n Webhook Guide (Intermediate)
This article provides a complete, practical walkthrough of the Manual Http Monitor 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
- Open n8n and create a new workflow or collection.
- Choose Import from File or Paste JSON.
- Paste the JSON below, then click Import.
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Show n8n JSON
Title: Automating HubSpot Contact Pagination with n8n: A Step-by-Step Workflow Meta Description: Learn how to automate the process of fetching paginated contact data from HubSpot using n8n. This guide walks you through a low-code workflow that loops through API pages and collects all contact data seamlessly. Keywords: n8n automation, HubSpot API, pagination workflow, n8n tutorial, contact data automation, HubSpot CRM, API loop, paginated API response, fetching HubSpot contacts, workflow automation Third-Party APIs Used: - HubSpot CRM API (https://developers.hubspot.com/docs/api/crm/contacts) Article: Fetching All HubSpot Contacts Using Pagination in n8n When working with APIs like HubSpot’s, you’ll often encounter paginated responses—where results are broken into multiple pages. To retrieve the complete dataset, you need to loop through the API’s pagination links until all data is fetched. While this can be complex with traditional code, no-code/low-code tools like n8n make this process much simpler. In this article, we’ll break down a powerful n8n workflow that loops through all pages of HubSpot contact data using their CRM v3 API. By the end of this explanation, you’ll understand how the workflow works, and how to build similar flows to automate any paginated API data fetching. 📦 Workflow Overview This n8n workflow is triggered manually and then performs multiple HTTP requests to HubSpot CRM’s contact endpoint to retrieve all contact records—handling pagination dynamically. Let's walk through the nodes and their purpose. 1. Manual Trigger: “On clicking 'execute’” The process begins when the workflow is manually executed. This makes it handy for testing and on-demand retrieval. 2. Config URL This Function node sets the initial URL for the HubSpot CRM API: https://api.hubapi.com/crm/v3/objects/contacts If the previous response includes a “next” link, this node uses it. That allows the workflow to dynamically load the next page’s URL during looping. The code: let next = 'https://api.hubapi.com/crm/v3/objects/contacts' if (items[0].json.next) { next = items[0].json.next } 3. HTTP Request This node sends an API request to the URL set in the previous node and includes: - hapikey: your HubSpot API key - limit: the number of results returned per page (100 in this case) The URL is evaluated dynamically based on the output of the “Config URL” node. 4. NoOp (No Operation Node) Placed as a spacer or checkpoint, the NoOp node ensures data passes correctly to the next stage without modification. 5. Wait A “cool-off” Function node that pauses the workflow for 5 seconds between requests. This helps with rate-limiting, especially when dealing with large datasets or platforms with strict API usage policies. 6. Check if Pagination? An “IF” node that checks whether the “paging.next” object exists in the HTTP response. This determines whether another loop should happen. It evaluates: {{$node["HTTP Request"].json["paging"] ? true : false}} - If true: Continue to the next page. - If false: Combine all collected data and exit the loop. 7. Set next URL If pagination exists, this Set node extracts the next page’s URL from: $node["HTTP Request"].json["paging"]["next"]["link"] It saves this value under the name “next,” which will be picked up by the “Config URL” node on the next iteration. 8. Combine all data This function aggregates all of the paginated contact data received in each HTTP request. It reassembles each contact into a consistent format and flattens them into a single output array. Sample aggregation logic: const allData = [] let counter = 0; do { try { const items = $items("HTTP Request", 0, counter).map(item => item.json.results); const rows = items[0].map(item => ({ json: item })) allData.push.apply(allData, rows); } catch (error) { return allData; } counter++; } while(true); Benefits of This Approach - Handles dynamic pagination: No hardcoded limit on how many pages you can process. - Scalable: Adjust the delay (Wait node) to suit API limits. - Reusable: Simply adjust the base URL to use the same pattern for other HubSpot objects or similar paginated APIs. Customization Tips - Add a node to write contact data to Google Sheets, Airtable, or a database. - Replace the Manual Trigger with a Schedule node for routine syncing. - Add error handling and retry logic for more robust deployments. Final Thoughts Paginated APIs are common among SaaS applications, and automation tools like n8n provide a powerful way to navigate them without diving into complex code. With this workflow, you can fetch thousands of HubSpot contacts effortlessly and build data workflows that scale with your CRM. Whether you're syncing contacts to a marketing tool, enriching them, or simply exporting for reporting purposes—this n8n workflow gives you the backbone for seamless contact data automation. Ready to scale your automations? Try expanding this concept to prospects, deals, or other CRM objects next!
- Set credentials for each API node (keys, OAuth) in Credentials.
- Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
- 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.