Skip to main content

Scrape LinkedIn jobs with Gemini AI and store in Google Sheets using RSS

Workflow preview

Workflow preview
100%
Scrape LinkedIn jobs with Gemini AI and store in Google Sheets using RSS preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

What Problem Does it Solve This workflow automates the process of finding and collecting job postings from LinkedIn, eliminating the need for manual job searching. It’s designed to save time and en...

Best for

  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.splitinbatches, n8n-nodes-base.html, n8n-nodes-base.code, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Abdullah Alshiekh.

Original n8n.io source

1.1 Workflow description

Title
Scrape LinkedIn jobs with Gemini AI and store in Google Sheets using RSS
Workflow name
Scrape LinkedIn jobs with Gemini AI and store in Google Sheets using RSS

What Problem Does it Solve

This workflow automates the process of finding and collecting job postings from LinkedIn, eliminating the need for manual job searching. It’s designed to save time and ensure you don’t miss out on new opportunities by automatically populating a spreadsheet with key job details.

Key Features

  • Automated Data Collection: The workflow pulls job posts from a LinkedIn search via an RSS feed.

  • Intelligent Data Extraction: It scrapes the full job description and uses AI to summarize the key benefits and job responsibilities into a concise format.

  • Centralized Database: All collected and processed information is automatically saved to a Google Sheet, providing a single source of truth for your job search.

How It Works

The workflow starts when manually triggered. It reads the job posts from a given RSS feed, processing each one individually. For each job, it fetches the full webpage content to extract structured data. This data is then cleaned and passed to an AI model, which generates a brief summary of the job and its benefits. Finally, a new row is either added or updated in a Google Sheet with all the collected details, including the job title, company name, and AI-generated summary.

Configuration & Customization

This workflow is highly customizable to fit your specific needs.

  • RSS Feed: To get started, you'll need to provide the RSS feed URL for your desired LinkedIn job search. We can help you set this up.

  • AI Model: The workflow uses Google Gemini by default, but it can be adjusted to work with other AI platforms.

  • Data Destination: The output is configured to a Google Sheet, but it can easily be changed to a different platform like Notion or a CRM.

  • AI Prompting: The AI's instructions are customizable, so you can tailor the output to extract different information or match a specific tone.

If you need any help Get In Touch

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 3 - Google Gemini Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 4 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 5 - Loop for Job Posts

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 6 - Extract HTML

Type / Role
n8n-nodes-base.html - html
Config choices
Version 1.2

Block 7 - Pre-clean Before AI

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 8 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 10 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note7

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Read RSS Feed.

Type / Role
n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices
Version 1.2

Block 15 - Scrape Job HTML.

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 16 - Parse Job Details.

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 17 - Update Google Sheet.

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

3. Summary Table

Workflow Scrape LinkedIn jobs with Gemini AI and store in Google Sheets using RSS
Complexity advanced
Nodes 17
Categories AI Summarization
Author Abdullah Alshiekh
Published 03 Sept 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/8219/8219.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Scrape LinkedIn jobs with Gemini AI and store in Google Sheets using RSS do?

What Problem Does it Solve This workflow automates the process of finding and collecting job postings from LinkedIn, eliminating the need for manual job searching. It’s designed to save time and en...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI Summarization use case.