Why automate job posting?
Staying on top of new job postings in your target companies is crucial for timing your outreach. When someone gets hired at a company, it often signals growth, new budgets, and fresh problems to solve. But manually checking for new jobs every week is time-consuming and easy to forget.
This automation will automatically scrape job boards, filter for relevant positions, post them to LinkedIn, and notify your team in Slack - all without any manual intervention.
What you'll build
By the end of this guide, you'll have a workflow that:
- Scrapes job postings from multiple sources weekly
- Filters jobs based on your target criteria
- Enriches job data with company information
- Posts relevant jobs to LinkedIn automatically
- Sends a weekly digest to your Slack channel
- Stores all data for future analysis
Prerequisites
- n8n account (cloud or self-hosted)
- Clay account with API access
- Unipile account for LinkedIn posting
- Slack workspace with webhook access
- List of target companies or job titles
Step 1: Set up the n8n workflow trigger
First, create a new workflow in n8n and set up a weekly schedule trigger:
- Create a new workflow in n8n
- Add a "Schedule Trigger" node
- Set it to run every Monday at 9 AM
- Add a timezone setting for your region
This ensures your job scraping runs consistently every week at the same time, giving you fresh data to work with.
Step 2: Configure job scraping sources
You'll scrape jobs from multiple sources for comprehensive coverage:
Indeed API
- Use n8n's HTTP Request node to call Indeed's API
- Filter by company names, job titles, and location
- Set date range to last 7 days for fresh jobs only
LinkedIn Jobs (via Clay)
- Use Clay's LinkedIn job search functionality
- Search by company list or specific criteria
- Extract job details including description and requirements
Company career pages
- Set up web scraping for target companies' career pages
- Use CSS selectors to extract job titles and links
- Handle pagination and dynamic loading
Step 3: Filter and deduplicate jobs
Raw job data needs cleaning and filtering:
Deduplication logic
- Compare job titles, companies, and locations
- Use fuzzy matching for similar titles
- Keep track of previously processed jobs
Relevance filtering
- Filter by job level (exclude internships, entry-level)
- Focus on revenue-generating roles (sales, marketing, customer success)
- Target specific departments based on your ICP
- Exclude remote-only positions if location matters
Quality scoring
- Score jobs based on company size and funding stage
- Prioritize recent job postings (last 3-7 days)
- Consider job description quality and completeness
Step 4: Enrich with company data
Use Clay to add valuable context to each job posting:
Company enrichment
- Employee count and growth rate
- Recent funding rounds and valuation
- Industry and business model
- Tech stack and tools used
People enrichment
- Find hiring manager or department head
- Get contact information
- Identify mutual connections
- Recent company news or announcements
Step 5: Generate LinkedIn post content
Create engaging LinkedIn posts about the job openings:
Post template structure
- Hook: "🚀 [Company] is growing fast!"
- Context: Brief company description and recent news
- Job details: Role, team, key requirements
- Call to action: Encourage applications and shares
- Hashtags: Relevant industry and location tags
Personalization variables
- Company growth metrics (funding, headcount)
- Recent company milestones
- Job posting urgency indicators
- Industry-specific messaging
Step 6: Post to LinkedIn via Unipile
Use Unipile's API to automatically post to LinkedIn:
- Connect your LinkedIn account to Unipile
- Set up API credentials in n8n
- Configure posting schedule (space posts throughout the week)
- Add image generation for better engagement
- Set up approval workflow for sensitive posts
Posting best practices
- Post at optimal times (Tuesday-Thursday, 8-10 AM)
- Limit to 3-5 posts per week to avoid spam
- Use a mix of post formats (text, image, poll)
- Engage with comments on your posts
Step 7: Create Slack notifications
Keep your team informed with automated Slack updates:
Weekly digest format
- Summary: Total jobs found, companies, top roles
- Highlights: High-priority companies with new openings
- Opportunities: Specific roles to target
- LinkedIn posts: Links to auto-generated posts
- Action items: Suggested outreach targets
Real-time alerts
- Immediate notifications for high-value company jobs
- Job alerts for specific target accounts
- Hiring spree alerts (multiple jobs from same company)
Step 8: Store data and analytics
Build a database to track trends and measure success:
Data storage
- Job details (title, company, date, description)
- Company information (size, industry, funding)
- Posting performance (LinkedIn engagement metrics)
- Outreach results (connections, responses, meetings)
Analytics dashboard
- Hiring trends by company and industry
- Most effective job post formats
- LinkedIn engagement rates over time
- ROI from job-based prospecting
Advanced optimizations
AI-powered content generation
- Use OpenAI or Claude to write post variations
- Generate company-specific insights
- Create engaging headlines and hooks
- Adapt tone based on industry and audience
Competitor intelligence
- Track competitor hiring patterns
- Identify talent acquisition trends
- Spot new market opportunities
- Monitor salary and benefit trends
Integration with CRM
- Sync job data with your CRM
- Trigger outreach sequences
- Update account intelligence
- Track prospect engagement
Troubleshooting common issues
API rate limits
- Implement exponential backoff
- Use multiple data sources to reduce dependency
- Cache results to minimize API calls
- Monitor usage and upgrade plans as needed
Data quality problems
- Validate job posting dates
- Check for duplicate or expired listings
- Verify company names and standardize formats
- Flag suspicious or spam job postings
LinkedIn posting issues
- Respect LinkedIn's posting limits
- Monitor account for any restrictions
- Keep backup posting strategies
- Have manual approval for sensitive content
Measuring success
Track these KPIs to measure your automation's effectiveness:
- Coverage: Percentage of target companies monitored
- Freshness: Average time from job posting to detection
- Engagement: LinkedIn post likes, comments, shares
- Pipeline impact: Meetings booked from job-based outreach
- Time saved: Hours saved vs. manual job monitoring
Next steps
Once your job automation is running smoothly, consider these enhancements:
- Build predictive models for hiring patterns
- Create automated outreach sequences triggered by job postings
- Integrate with recruiting tools for partnership opportunities
- Expand to international markets and remote job boards
- Add video content generation for higher LinkedIn engagement
This automation becomes the foundation for intelligent, data-driven prospecting that keeps you ahead of the competition.