Job Scraping Application - User Stories
Epic: Automated Job Vacancy Collection
Story 1: Multi-Source Job Scraping
As a consultancy administrator
I want to automatically scrape job vacancies from multiple job boards and company websites
So that I can have a comprehensive collection of available opportunities without manual searching
Acceptance Criteria:
- [ ] System can scrape from popular Dutch job boards (Indeed, LinkedIn, Nationale Vacaturebank, etc.)
- [ ] System can scrape from government job portals
- [ ] System can scrape from company career pages
- [ ] Scraped data includes: job title, company, location, description, requirements, salary (if available), posting date
- [ ] System handles rate limiting and respects robots.txt
- [ ] Failed scrapes are logged and retried with backoff strategy
Story 2: Configurable Scraping Rules
As a system administrator
I want to configure scraping rules for different websites
So that I can adapt to changes in website structure and add new sources easily
Acceptance Criteria:
- [ ] Web-based interface to manage scraping configurations
- [ ] CSS selector-based extraction rules
- [ ] XPath support for complex extractions
- [ ] Test scraping rules before deployment
- [ ] Version control for scraping configurations
- [ ] Schedule-based scraping (hourly, daily, weekly)
Story 3: Duplicate Detection and Deduplication
As a data quality manager
I want the system to detect and merge duplicate job postings
So that our database contains unique opportunities and reduces noise
Acceptance Criteria:
- [ ] Fuzzy matching algorithm for job titles and descriptions
- [ ] Company name normalization
- [ ] Location standardization
- [ ] Duplicate confidence scoring
- [ ] Manual review interface for uncertain duplicates
- [ ] Audit trail of merge decisions
Story 4: Data Quality and Validation
As a consultancy administrator
I want scraped job data to be validated and cleaned
So that only high-quality, relevant vacancies enter our pipeline
Acceptance Criteria:
- [ ] Required field validation (title, company, description)
- [ ] Location parsing and geocoding
- [ ] Salary range extraction and normalization
- [ ] Language detection (Dutch/English preference)
- [ ] Spam/low-quality job filtering
- [ ] Data completeness scoring
Story 5: Real-time Monitoring and Alerts
As a system administrator
I want real-time monitoring of scraping operations
So that I can quickly identify and resolve issues
Acceptance Criteria:
- [ ] Dashboard showing scraping status per source
- [ ] Error rate monitoring with thresholds
- [ ] Volume anomaly detection
- [ ] Email/Slack alerts for critical issues
- [ ] Performance metrics (jobs/minute, success rate)
- [ ] Source availability monitoring
Story 6: API Integration for Premium Sources
As a consultancy administrator
I want to integrate with premium job board APIs
So that I can access higher-quality data and avoid scraping limitations
Acceptance Criteria:
- [ ] LinkedIn Jobs API integration
- [ ] Indeed Publisher API integration
- [ ] StepStone API integration (if available)
- [ ] Unified data format across API and scraped sources
- [ ] Rate limiting compliance for APIs
- [ ] Cost tracking per API call
Story 7: Historical Data and Trends
As a business analyst
I want to track historical job posting trends
So that I can identify market opportunities and seasonal patterns
Acceptance Criteria:
- [ ] Historical job count by category/location/company
- [ ] Trend analysis dashboard
- [ ] Salary trend tracking
- [ ] Market demand indicators
- [ ] Export capabilities for external analysis
- [ ] Automated weekly/monthly reports
Reacties