Jobs Scraper
Automatically scans LinkedIn, Reddit, Facebook, and Fiverr for niche job opportunities, normalizes the data with AI, and logs qualified leads into Google Sheets.
Problem Statement
The Solution
Automation Overview
We built a multi-source job scraping automation that monitors 4 major platforms: LinkedIn, Reddit, Facebook groups, and Fiverr buyer requests. The workflow fetches job posts using specialized keyword queries, passes the results through an AI-based normalization layer, filters out irrelevant items, and logs the final qualified job list into a master Google Sheet.
Multi-Platform Search Engine
The automation uses custom search logic to scan LinkedIn posts & job feeds, Reddit communities, Facebook groups, and Fiverr requests for niche roles. Each platform has its own scraping approach to maximize accuracy.
Specialized Job Search Queries
We designed optimized search strings to improve signal-to-noise dramatically. This system can be repurposed for any niche: Marketing jobs, Automation roles, Virtual assistants, SEO specialists, Sales or lead gen tasks, just by changing the keywords.
AI-Powered Normalization Layer
Every scraped item is passed to an AI model that standardizes titles, extracts role type, identifies hiring intent, searches for keywords, filters out irrelevant entries, and tags metadata like budget or urgency.
Qualification & Filtering Logic
The system automatically checks job relevance, skill match, legitimacy, real hiring need, and whether the post is promotional spam. Only high-quality jobs pass through.
Unified Output to Google Sheets
All qualified jobs are stored into one master sheet containing job title, platform source, description, link, detected requirements, budget, and timestamp. This becomes a searchable job database.
Scheduled Automation
The workflow runs hourly, daily, or at any interval, discovering new opportunities without human intervention.
Safe & Reliable Error Handling
If a platform fails or returns no results, the workflow skips that source, logs the failure, and continues with other platforms, preventing execution breaks.
Integrations & Connected Systems
LinkedIn search; Reddit API / scraping; Facebook scraping; Fiverr buyer request scraping; AI model for normalization + filtering; Google Sheets for final storage; n8n for orchestration.
Smart Logic & Reliability
- Cross-platform duplicate detection
- Relevancy scoring
- AI-based spam filtering
- Automatic tagging of job categories
- Multi-language detection for global roles
- Real hiring intent extraction
Before
Manually searching 4 different platforms, missing opportunities, dealing with duplicates and spam.
After
Automatic, daily-updated job feed delivered into one Google Sheet — ready to apply.
Tools Used
Our Process
Discover
Understood the pain of inconsistent job discovery.
Design
Built a multi-platform automated monitoring system.
Build
Integrated scraping → filtering → AI normalization.
Integrate
Unified everything into one dynamic sheet.
Deploy
Improved query logic for accuracy and volume.
Business Impact
Saves hours of manual job search
Delivers only high-quality opportunities
Ensures no platform is missed
Creates a continuous pipeline of leads
Helps agencies, freelancers, and job seekers stay ahead
Easily adaptable to any industry or skill set
"This automation scrapes job opportunities from LinkedIn, Facebook, Reddit, and Fiverr, filters them using AI, and stores clean, relevant entries inside a Google Sheet. It runs automatically and becomes a powerful discovery tool for anyone who wants consistent inbound job opportunities."
Want a system like this for your business?
Let’s build it.