Politie (End: 22-03-2025)
- Most recent end date
- High volume expected
- Priority: URGENT
NPO (End: 04-07-2025)
- Media/tech jobs
- High relevance
- Priority: HIGH
Gemeente Delft
- Municipal jobs
- Regular postings
- Priority: HIGH
Uitvoeringsorganisatie Bedrijfsvoering Rijk
- Central government
- Large volume
- Priority: HIGH
VNG (Beslisteam BV)
- Association of municipalities
- Wide variety
- Priority: HIGH
Waterschap Rivierenland
- Water management
- Specialized roles
- Priority: MEDIUM

Phase 2: MARKTPLAATS Sources (Weeks 3-4)

Goal: Add marketplace sources for broader coverage

Flextender
- Status: Already integrated ✅
- Continue monitoring
VRK Huurt In
- Recruitment platform
- Priority: MEDIUM
Banenplein Limburg
- Regional focus
- Priority: LOW
Werken voor 's-Hertogenbosch
- Municipal marketplace
- Priority: MEDIUM

🛠️ Technical Implementation Plan

DAS Sources - API Integration

Protocol: DAS (Dutch Application Service)

Implementation Approach:
- [ ] Research DAS API documentation
- [ ] Create DasScraperService (similar to FlextenderScraperService)
- [ ] Implement authentication mechanism
- [ ] Build job parser for DAS format
- [ ] Add to CrawlerController
- [ ] Schedule regular crawls

Technical Requirements:
- DAS API endpoint discovery
- Authentication credentials per source
- Rate limiting (be respectful)
- Duplicate detection
- Error handling & retry logic

MARKTPLAATS Sources - HTML Scraping

Protocol: Web Scraping (JSoup/Selenium)

Implementation Approach:
- [ ] Analyze HTML structure per source
- [ ] Create custom scraper per platform
- [ ] Implement authentication if required
- [ ] Build job detail extractors
- [ ] Handle pagination
- [ ] Add to scheduled jobs

Technical Requirements:
- OkHttpClient (already configured ✅)
- JSoup HTML parser (already available ✅)
- CSS selector mapping per source
- Cookie/session management
- User-Agent rotation
- Polite crawling (delays between requests)

📅 Crawling Schedule

Daily Crawls (High Volume Sources)

Politie (daily at 06:00)
NPO (daily at 07:00)
Uitvoeringsorganisatie Bedrijfsvoering Rijk (daily at 08:00)
Flextender (daily at 09:00) - already configured

Weekly Crawls (Medium Volume)

Gemeente Delft (Monday 10:00)
VNG (Tuesday 10:00)
VRK Huurt In (Wednesday 10:00)
Werken voor 's-Hertogenbosch (Thursday 10:00)

Bi-Weekly Crawls (Low Volume)

Waterschap Rivierenland (1st & 15th at 11:00)
Banenplein Limburg (1st & 15th at 12:00)

🔧 Implementation Checklist

Infrastructure (Already Done ✅)

[x] OkHttpClient bean configured
[x] FlextenderScraperService working
[x] CrawlJob entity and repository
[x] Job deduplication logic
[x] Error handling framework

New Components Needed

[ ] DasApiClient service
[ ] DasJobParser utility
[ ] VrkHuurtInScraper service
[ ] BanenpleinScraper service
[ ] PolitieScraper service (DAS)
[ ] NpoScraper service (DAS)
[ ] GemeenteDelftScraper service (DAS)
[ ] WaterschapScraper service (DAS)
[ ] VngScraper service (DAS)
[ ] DenBoschScraper service

Configuration Needed

# application.yml additions
crawling:
  enabled: true
  schedule:
    enabled: true

  # DAS Sources
  das:
    enabled: true
    api-base-url: "https://das.api.endpoint" # To be discovered
    authentication:
      method: "API_KEY" # or OAUTH2

  # Individual source configs
  sources:
    politie:
      enabled: true
      type: DAS
      schedule: "0 0 6 * * *" # Daily at 6 AM

    npo:
      enabled: true
      type: DAS
      schedule: "0 0 7 * * *" # Daily at 7 AM

    gemeente-delft:
      enabled: true
      type: DAS
      schedule: "0 0 10 * * MON" # Monday at 10 AM

    # ... etc for all sources

📊 Expected Results

Job Volume Estimates

| Source | Type | Estimated Jobs/Week | Priority | |--------|------|---------------------|----------| | Politie | DAS | 50-100 | HIGH | | NPO | DAS | 20-40 | HIGH | | Uitvoeringsorganisatie BR | DAS | 30-60 | HIGH | | Gemeente Delft | DAS | 10-20 | MEDIUM | | VNG | DAS | 15-30 | MEDIUM | | Flextender | MARKT | 40-80 | HIGH | | VRK Huurt In | MARKT | 15-25 | MEDIUM | | Waterschap | DAS | 5-10 | LOW | | Banenplein Limburg | MARKT | 10-15 | LOW | | Werken 's-Hertogenbosch | MARKT | 10-20 | MEDIUM | | TOTAL | - | 205-400/week | - |

⚠️ Considerations & Risks

Legal & Compliance

✅ Verify robots.txt compliance for each source
✅ Respect rate limits (1-2 requests/second max)
✅ Include User-Agent with contact info
✅ Honor noindex/nofollow directives
✅ Terms of service review per source

Technical Challenges

🔍 DAS API discovery - May need documentation/credentials
🔍 Authentication - Different per source
🔍 Data format variations - Need custom parsers
🔍 Anti-scraping measures - May need to handle
🔍 Job deduplication - Same job on multiple platforms

Operational

💾 Storage - 200-400 jobs/week = ~20K jobs/year
🔄 Updates - Need to track changes to existing jobs
📧 Notifications - Alert on crawl failures
📊 Monitoring - Track success rates per source

🚀 Implementation Timeline

Week 1: DAS Framework

Day 1-2: Research DAS API protocol
Day 3: Create DasApiClient base service
Day 4: Implement Politie scraper (highest priority)
Day 5: Testing & validation

Week 2: High Priority DAS Sources

Day 1: NPO scraper
Day 2: Uitvoeringsorganisatie BR scraper
Day 3: Gemeente Delft scraper
Day 4: VNG scraper
Day 5: Integration testing

Week 3: MARKTPLAATS Sources

Day 1-2: VRK Huurt In scraper
Day 3: Werken 's-Hertogenbosch scraper
Day 4: Banenplein Limburg scraper
Day 5: Testing & optimization

Week 4: Polish & Deploy

Day 1: Waterschap Rivierenland scraper
Day 2: Scheduling & automation
Day 3: Monitoring & alerting
Day 4: Documentation
Day 5: Production deployment

📝 Next Actions

Immediate (This Week)

Research DAS Protocol
- Find official documentation
- Identify authentication requirements
- Understand data format
Prioritize Politie Integration
- End date approaching (22-03-2025)
- High job volume
- Government source (reliable)
Update Recruitment Platform
- Add DasApiClient configuration
- Create base DAS scraper service
- Test with one source (Politie)

Short Term (Next 2 Weeks)

Implement all 6 DAS sources
Configure scheduling
Set up monitoring
Test deduplication

Medium Term (Month 2)

Add MARKTPLAATS sources
Optimize crawling efficiency
Add job update tracking
Implement change detection

✅ Sources Summary

Total Sources: 10

DAS Sources: 6 (60%)
MARKTPLAATS Sources: 4 (40%)

Status:

✅ All 10 sources are Active
✅ Flextender already integrated
⏳ 9 sources ready for implementation
🎯 Estimated 205-400 jobs/week when complete

Priority Order:

Politie (DAS) - URGENT
NPO (DAS) - HIGH
Uitvoeringsorganisatie BR (DAS) - HIGH
Flextender (MARKT) - Already done ✅
Gemeente Delft (DAS) - MEDIUM
VNG (DAS) - MEDIUM
VRK Huurt In (MARKT) - MEDIUM
Werken 's-Hertogenbosch (MARKT) - MEDIUM
Waterschap Rivierenland (DAS) - LOW
Banenplein Limburg (MARKT) - LOW

🔗 Integration with Recruitment Platform

Current Status

✅ FlextenderScraperService implemented
✅ OkHttpClient configured
✅ CrawlJob entity and repository
✅ Job deduplication logic
✅ Scheduled crawling framework

Required Additions

DasApiClient - Base service for DAS protocol
Individual scrapers - One per source (9 new services)
Scheduler configuration - Cron expressions per source
Monitoring dashboard - Track crawl success rates
Alert system - Notify on failures

Architecture

CrawlerController
├── FlextenderScraperService ✅
├── DasApiClient (new)
│   ├── PolitieScraperService
│   ├── NpoScraperService
│   ├── GemeenteDelftScraperService
│   ├── UitvoeringsorgScraperService
│   ├── VngScraperService
│   └── WaterschapScraperService
└── MarktplaatsScrapers
    ├── VrkHuurtInScraperService
    ├── BanenpleinScraperService
    └── DenBoschScraperService

📊 Expected Impact

Job Availability

Current: Flextender only (~40-80 jobs/week)
After Phase 1 (DAS): ~155-280 jobs/week (+194% increase)
After Phase 2 (All): ~205-400 jobs/week (+312% increase)

Source Diversity

Current: 1 source (Flextender)
After Implementation: 10 sources
Benefit: Better coverage, reduced dependency, more opportunities

Candidate Value

More job options
Wider geographic coverage
Multiple sectors (government, tech, media, water management)
Better match probability

🎯 Recommendations

Short-Term (This Month)

Research DAS API - Understand protocol and auth
Implement Politie scraper - Highest priority due to end date
Test with one DAS source - Validate approach
Document learnings - Create DAS integration guide

Medium-Term (Next 3 Months)

Complete all DAS sources - 6 scrapers
Add MARKTPLAATS sources - 3 additional scrapers
Optimize scheduling - Balance load and freshness
Monitor & iterate - Improve based on results

Long-Term (6+ Months)

Add more sources - Expand beyond these 10
Machine learning - Job categorization, quality scoring
Source analytics - Track which sources yield best candidates
Automated testing - Detect when sources change structure

Document Created: October 17, 2025 Status: Planning complete, ready for implementation Next Step: Research DAS API protocol and implement Politie scraper Expected Timeline: 4 weeks to complete all 10 sources

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Athena — mahmoud-consultancy/archive/old-docs/SENTIOR_CRAWLING_SOURCES_PLAN.md

Sentior Crawling Sources Plan

📊 Identified Sources (10 Active)

1. Gemeente Delft

2. Uitvoeringsorganisatie Bedrijfsvoering Rijk

3. VRK Huurt In

4. Banenplein Limburg

5. Politie

6. Flextender

7. Waterschap Rivierenland

8. Nederlandse Publieke Omroep (NPO)

9. Werken voor 's-Hertogenbosch

10. VNG (Beslisteam BV)

📋 Source Type Breakdown

DAS Sources (6 sources - 60%)

MARKTPLAATS Sources (4 sources - 40%)

🎯 Crawling Strategy

Phase 1: High Priority DAS Sources (Weeks 1-2)