⚡ LinkedIn job hunting & outreach automation with Apify, Gemini AI, and Gmail
⚡ 3,547 views · ⚡ Personal Productivity
💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.
Description
This n8n workflow automates the process of collecting job and decision-maker data, crafting AI-generated referral messages, and drafting them in Gmail—all using a combination of Apify, Google Sheets, LLMs, and email APIs.
Use cases
- Auto-sourcing job postings from LinkedIn via Apify
- Identifying decision-makers at relevant companies
- Auto-drafting custom referral request messages using AI
- Exporting structured data to Google Sheets and drafting Gmail messages for outreach
Good to know
- You can customize the filtering logic to target specific cities or companies.
- Message creation uses the Gemini 2.0 Flash model and LangChain’s output parser for structured messages.
- Email data is fetched using Anymailfinder, but can be replaced with other providers like Hunter.io.
- Gmail API drafts the message, but you need to enable Gmail API access from your Google Cloud console.
How it works
Trigger
- A Schedule Trigger runs the automation daily.
Job Data Extraction
- Apify pulls job listings using a predefined actor.
- The HTTP response is split and structured using the Split Out node.
Store Job Data
- Job listings are saved to a Google Sheet.
- The node maps key fields like title, company, location, and poster info.
Decision-Maker Discovery
- Another Apify actor pulls decision-maker data from LinkedIn.
- This is split and filtered (e.g., by city or company name).
Store Contacts
- Contact details (name, title, location, etc.) are appended to another Google Sheet (n8n-sheet).
Message Generation
- A LLM Chain uses Gemini 2.0 Flash to generate short, custom LinkedIn messages.
- The message respects rules like tone, length (<100 words), and personalization.
Parse & Merge AI Output
- The output is structured using Structured Output Parser and merged with contact data.
Save Final Messages
- The final headline and body are stored back into Google Sheets (n8n-sheet).
Email Discovery
- Get Email IDs node hits Anymailfinder API using the LinkedIn profile link.
Draft in Gmail
- Using Gmail API, the message is drafted in your inbox with subject and body auto-filled.
How to use
- Update Apify actor inputs to specify roles, companies, or locations.
- Replace the manual Schedule Trigger with a webhook or form input if desired.
- Update the Google Sheets document and sheet name in the relevant nodes.
- Add your Gmail and Anymailfinder credentials in n8n settings.
Requirements
Google Sheets API access
Gmail API access
Apify account
Gemini API key (via Google AI Studio)
Anymailfinder (or alternate email discovery API)
Customizing this workflow
This framework is highly modular. You can:
- Add more filters for company size, role, or hiring urgency
- Use alternate LLMs (OpenAI, Claude, etc.)
- Switch output channels (Slack, WhatsApp, etc.)
- Plug in different CRM tools for follow-ups
🔗 Nodes Used
Google Sheets, HTTP Request, Gmail, Schedule Trigger, Filter, Basic LLM Chain
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File