This article provides a complete, practical walkthrough of the Wait Manual Automation 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:
   Automated Company Insight Extraction from Indeed Using n8n, Bright Data, Google Gemini, and Airtable
   
   Meta Description:
   Learn how to build a powerful low-code workflow for scraping company data from Indeed, processing it with Google Gemini AI, and storing insights in Airtable using Bright Data and n8n. Ideal for HR, engineering, and AI applications.
   
   Keywords:
   n8n, web scraping, Bright Data, Indeed scraper, Google Gemini, AI summarization, Airtable automation, HR automation, LLM workflow, low-code automation, AI agents, Gemini Flash, AI-powered data pipeline
   
   Third-Party APIs Used:
   - Bright Data Web Unlocker API
   - Airtable API
   - Google Gemini (PaLM 2) API
   - Webhook.site
   
   Article:
   
   Streamlining Talent Intelligence: Automating Company Insights from Indeed with n8n, Bright Data, and Google Gemini
   
   In today’s data-driven hiring and business intelligence landscape, collecting company information across multiple platforms—especially job boards like Indeed—has become a crucial part of the strategy for HR, engineering, and analytics teams. However, performing this task manually or via fragmented scripts is time-consuming and inefficient. Enter n8n—an open-source, low-code workflow automation tool—and its seamless integration with AI and web data extraction platforms.
   
   In this article, we break down a complete and intelligent n8n workflow that scrapes company details from Indeed URLs using Bright Data, processes the data through Google Gemini for AI-powered summarization, and stores structured summaries in Airtable. The setup enables automation professionals and HR analysts to build scalable talent intelligence pipelines without writing complex code.
   
   Overview of the Workflow
   
   This n8n workflow titled “Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini” acts as a loader, transformer, and summarizer of data from Indeed’s company pages. Key components include:
   
   - Data source: Airtable (list of company Indeed URLs)
   - Web scraping: Bright Data’s Unlocker API
   - AI processing: Google Gemini (PaLM 2, Flash Model)
   - Output: Summarized insights pushed via webhook and optionally saved
   
   Step-by-Step Breakdown
   
   1. Trigger & Configuration
   The workflow initiates via a manual trigger, making it ideal for testing or batch processing use cases. The first step configures the Bright Data zone settings—here, “web_unlocker1” is used to bypass bot protection during scraping.
   
   2. Data Ingestion via Airtable
   Airtable acts as the storage for target companies with a sample table (`Indeed > Table 1`). Each record contains a link to the company’s Indeed page (e.g., "https://www.indeed.com/cmp/Starbucks").
   
   3. Data Filtering & Rate Management
   Each record is looped over in batches, with a wait node implemented to prevent API rate limits or potential throttling. Links are validated to ensure they're not empty before processing.
   
   4. Web Scraping with Bright Data
   For each valid link, a structured POST request is made to Bright Data’s API to fetch rendered content from the target company’s Indeed page. The response is returned in markdown format, rich in contextual company data.
   
   5. Markdown to Clean Text Conversion
   An AI chain is triggered to parse markdown into plain text using a prompt instructing the agent to act as a "markdown expert." The tool used here is n8n’s built-in Langchain integration supported by Google Gemini’s Flash model.
   
   6. AI Summarization with Google Gemini
   The cleaned text is sent to the Google Gemini LLM and passed through a summarization chain. The model generates key insights about the company—useful for applicant targeting, competitor analysis, or inclusion in CRM tools.
   
   7. AI Agent Processing & Formatting
   Going a step deeper, another Langchain AI Agent—dubbed the “Indeed Expert”—receives the summary and formats the structured output for downstream usage. This AI agent is again powered by the Gemini Flash model.
   
   8. Delivering the Result via Webhook
   Finally, the summary and the original structured results are pushed to a webhook endpoint (webhook.site in this demo) for consumption by downstream services (such as Slack, dashboards, CRMs, etc.).
   
   Optional Enhancements
   
   - Markdown to HTML Conversion:
     For richer visual presentations, the original markdown response can be converted to HTML and pushed via a separate webhook notification.
   
   - Real-time Alerts:
     You can integrate third-party communication platforms like Slack, MS Teams, or email services to notify recruiters or sales teams about newly added insights.
   
   - CRM or ATS Sync:
     Instead of a generic webhook, the output flow can be programmed to sync directly into CRM or ATS platforms like Salesforce, Hubspot, or Lever using their respective APIs.
   
   Benefits of This Setup
   
   - No-code/Low-code friendly: Built in n8n, tailored for users who prefer visual workflows.
   - Scalable & performant: Utilizing Bright Data’s Web Unlocker to bypass dynamic content and bot detection on Indeed.
   - AI-enhanced: Integrated Google Gemini (PaLM 2) models ensure smart parsing, summarization, and formatting of unstructured company data.
   - Modular: Each component (Airtable, scraping, AI, webhook) is replaceable or upgradable depending on the use case.
   
   Ideal Use Cases
   
   - HR Tech: Automatically profile companies hiring across regions to benchmark against your own openings.
   - Competitive Intelligence: Understand competitors' culture, benefits, job trends through Indeed pages.
   - Lead Generation: Surface company information for sales team CRM enrichment.
   - Recruitment Marketing: Target employer reputation campaigns based on data signals from company reviews and narratives.
   
   Conclusion
   
   This workflow exemplifies how combining low-code automation with AI and modern web scraping can transform manual research tasks into intelligent, scalable operations. Whether you’re in engineering, HR, or a role that demands swift company-level insights, this n8n-powered setup helps automate intelligently with minimal effort.
   
   By leveraging tools like Airtable, Bright Data, Google Gemini, and n8n, professionals can build robust back-end workflows to bridge raw web data with actionable intelligence—all while reducing manual overhead.
   
   Deploy it. Customize it. Automate your insights.
   
   —End—

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.