This article provides a complete, practical walkthrough of the Wait Code Create 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:
   Unlock Hidden Opportunities: Automate LinkedIn Job Scraping to Google Sheets Using n8n & Bright Data
   
   Meta Description:
   Discover how to automate LinkedIn job post scraping using Bright Data’s Dataset API and n8n, and send clean, structured job data directly to Google Sheets. Perfect for job seekers, recruiters, and sales teams.
   
   Keywords:
   n8n, LinkedIn job scraper, Bright Data, job scraping automation, Google Sheets, job prospecting, no-code automation, data integration, LinkedIn API, sales leads, job hunting tool, job data enrichment
   
   Third-Party APIs & Tools Used:
   - Bright Data Dataset API
   - Google Sheets API (OAuth2 authentication through n8n)
   
   —
   
   Article:
   
   Streamline Your Job Hunt or Sales Research with n8n + Bright Data + Google Sheets
   
   In the fast-moving world of job hunting and sales prospecting, timing is everything. Being first to discover new job openings or identifying companies that are actively hiring can mean the difference between closing a deal or missing an opportunity. That’s where automation comes into play.
   
   In this article, we’ll unpack a powerful automation workflow built in n8n — an open-source automation platform — that connects Bright Data’s scraping power with the simplicity of Google Sheets to bring you fresh, cleaned, and structured job data in real time.
   
   What This Workflow Does
   
   This n8n workflow automates the process of:
   
   1. Collecting input from a user via a form (location, keyword, country, and more).
   2. Making a POST API call to Bright Data to scrape LinkedIn job postings based on filtered criteria.
   3. Polling the Bright Data API until the job data snapshot is ready.
   4. Cleaning and flattening the job data, removing messy HTML.
   5. Sending the cleaned job data directly to a Google Sheet.
   
   Use Cases
   
   ✅ Job Seekers: Keep tabs on the freshest job listings relevant to your target location and domain.
   ✅ Sales Prospectors: Track companies actively hiring (a sign of growth and potential need for your services).
   ✅ Recruiters: Identify talent demand trends in specific fields or regions to optimize outreach.
   ✅ Marketers: Discover high-intent hiring signals that drive timely campaigns.
   
   How It Works — Step by Step
   
   🎯 Step 1: Submit the Job Search Form
   
   At the front of the workflow is a form where you input job search parameters:
   
   - Location (e.g., New York)
   - Keyword (e.g., "Marketing Manager")
   - Country Code (2-letter ISO, e.g., US, DE)
   - Optional filters: job type, experience, remote/on-site, company name, and post age.
   
   💡 Tip: Leaving optional fields blank will return broader results.
   
   🔍 Step 2: Trigger Bright Data API Call
   
   Upon form submission, the workflow sends a structured JSON request to Bright Data’s Dataset API. This request initiates a job snapshot that crawls LinkedIn in real time, fetching job posts that match your query.
   
   Bright Data returns a snapshot ID used to track the scraping progress.
   
   ⏳ Step 3: Poll the Snapshot
   
   Using n8n’s Wait and HTTP Request nodes, the workflow checks Bright Data every few minutes until your job listings are ready. Once the status changes from “running” to “done”, the workflow proceeds to fetch the results using another Bright Data API endpoint.
   
   🧹 Step 4: Clean & Transform the Results
   
   The scraped data includes HTML tags and nested objects (e.g., job poster details and base salary structures). A custom “Code” node processes these:
   
   - Flatten fields like job_poster and base_salary
   - Strip all HTML from job descriptions
   - Normalize whitespace
   - Add useful fields like plain-text job description, salary min/max, and job poster metadata
   
   This turns a messy response into structured, spreadsheet-ready data.
   
   📄 Step 5: Populate a Google Sheet
   
   The cleaned data is then appended directly to a pre-linked Google Sheet. Each job gets a new row, with over 30 mapped fields such as:
   
   - job_title
   - company_name
   - location
   - apply_link
   - salary_min/salary_max
   - job_poster_name
   - job_description_plain
   
   You can find and copy the provided Google Sheet template to get started instantly.
   
   🛠️ Bonus: Customize to Fit Your Workflow
   
   This setup is fully customizable through n8n:
   
   - Add more filters to the Bright Data request (e.g. experience_level, remote).
   - Change the polling frequency to optimize speed.
   - Auto-send filtered job posts to Slack, email, or even your CRM.
   - Introduce job prioritization logic or keyword scoring using a “Code” node.
   
   Why This Workflow Rocks
   
   - It removes the repetitive, error-prone process of manual job board searching.
   - The data is cleaned and enriched, making it useful right out of the box.
   - It’s scalable: run it daily, weekly, or on demand.
   - Ideal for building job boards, sending outreach campaigns, or enriching lead lists with hiring signals.
   
   Resource Links
   
   - 💾 Google Sheet Template (Make a copy): [Click here](https://docs.google.com/spreadsheets/d/1_jbr5zBllTy_pGbogfGSvyv1_0a77I8tU-Ai7BjTAw4/edit?usp=sharing)
   - 📘 Bright Data API Reference: [Available here](https://brightdata.com/docs)
   - 🎥 Tutorials: [YouTube Channel](https://www.youtube.com/@YaronBeen/videos)
   - 💼 Connect on LinkedIn: [Yaron Been](https://www.linkedin.com/in/yaronbeen/)
   
   Conclusion
   
   This no-code/low-code solution empowers job seekers, recruiters, salespeople, and data-driven professionals to tap into LinkedIn job data — hands-free. Built with n8n, Bright Data, and Google Sheets, it's free to customize and easy to integrate into your daily workflow.
   
   One form. One click. One feed of continuously updated job listings. Welcome to smarter prospecting.
   
   —
   
   Need Support?
   
   For help, contact Yaron Been at Yaron@nofluff.online or check out his library of automation tutorials.

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.