409 lines
12 KiB
Markdown
409 lines
12 KiB
Markdown
# Czech Republic Heritage Institution Extraction - COMPLETE ✅
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**Date**: November 19, 2025
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**Status**: Both libraries and archives successfully extracted
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**Total Institutions**: 8,705 Czech heritage institutions
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---
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## Executive Summary
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Successfully completed extraction of Czech heritage institutions from **two authoritative government databases**:
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1. **ADR (Bibliographic Database)** - 8,145 libraries ✅
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2. **ARON Portal (Archive Database)** - 560 archives/museums/galleries ✅
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### Key Achievement: API Reverse-Engineering
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**Critical Discovery**: ARON portal has an **undocumented REST API** with a type filter that directly returns institutions (avoiding the need to scan 505k+ fonds/collections).
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**Filter Discovered via Playwright**:
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```json
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{
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"filters": [
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{"field": "type", "operation": "EQ", "value": "INSTITUTION"}
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]
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}
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```
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This reduced extraction time from **70 hours** (scanning all records) to **~10 minutes** (direct institution query).
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---
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## Dataset 1: Czech Libraries (ADR Database)
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**Source**: https://adr.cz/api/institution/list
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**Method**: Official JSON API
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**Status**: ✅ Complete (Nov 2025)
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### Statistics
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| Metric | Value |
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|--------|-------|
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| **Total institutions** | 8,145 |
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| **Data tier** | TIER_1_AUTHORITATIVE |
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| **Output file** | `data/instances/czech_institutions.yaml` |
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| **Extraction time** | ~5 minutes |
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### Institution Types (ADR)
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| Type | Count | Notes |
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|------|-------|-------|
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| **LIBRARY** | 7,839 | Public, academic, specialized libraries |
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| **MUSEUM** | 212 | Museums with library collections |
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| **ARCHIVE** | 42 | Archives registered in library database |
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| **GALLERY** | 19 | Galleries with bibliographic collections |
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| **RESEARCH_CENTER** | 18 | Research institutes |
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| **EDUCATION_PROVIDER** | 15 | Universities, schools with libraries |
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### Metadata Available (ADR)
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- ✅ **Institution name** (Czech + English)
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- ✅ **ISIL codes** (Czech format: CZ-xxx)
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- ✅ **Full address** (street, city, postal code)
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- ✅ **Contact** (phone, email, website)
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- ✅ **Institution type** (library/museum/archive)
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- ✅ **Opening hours**
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- ✅ **Collection size** (number of items)
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- ✅ **VEGA system participation** (national library network)
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---
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## Dataset 2: Czech Archives/Museums (ARON Portal)
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**Source**: https://portal.nacr.cz/aron/institution
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**Method**: Reverse-engineered REST API (undocumented)
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**Status**: ✅ Complete (Nov 19, 2025)
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### Statistics
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| Metric | Value |
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|--------|-------|
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| **Total institutions** | 560 |
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| **Data tier** | TIER_1_AUTHORITATIVE |
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| **Output file** | `data/instances/czech_archives_aron.yaml` |
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| **Extraction time** | ~10 minutes |
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| **API rate limit** | 0.5s delay (2 req/sec) |
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### Institution Types (ARON)
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| Type | Count | Notes |
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|------|-------|-------|
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| **ARCHIVE** | 290 | State archives, municipal archives, specialized archives |
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| **MUSEUM** | 238 | Museums with archival/historical collections |
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| **GALLERY** | 18 | Art galleries managing historical archives |
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| **LIBRARY** | 8 | Libraries with archival functions |
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| **EDUCATION_PROVIDER** | 6 | Universities with institutional archives |
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### Metadata Available (ARON)
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- ✅ **Institution name** (Czech)
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- ✅ **ARON UUID** (unique identifier)
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- ✅ **Institution code** (9-digit numeric)
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- ✅ **Portal URL** (https://portal.nacr.cz/aron/apu/{uuid})
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- ⚠️ **Address** (limited - needs enrichment)
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- ⚠️ **Website** (limited - needs enrichment)
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### Archive Institution Breakdown
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**State Archives** (~90):
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- National Archive (Národní archiv)
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- Regional Archives (Zemské archivy)
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- District Archives (Státní okresní archivy)
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**Municipal Archives** (~50):
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- City archives (Archiv města)
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- Town archives
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**Specialized Archives** (~70):
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- University archives
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- Corporate archives
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- Film archives (Národní filmový archiv)
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- Literary archives (Literární archiv)
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- Presidential office archives
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**Museums with Archives** (~238):
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- Regional museums (Oblastní muzea)
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- City museums (Městská muzea)
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- Specialized museums (Technical, military, etc.)
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- Memorial sites (Památníky)
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**Art Galleries** (~18):
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- Regional galleries (Oblastní galerie)
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- Municipal galleries
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---
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## Combined Czech Dataset
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### Total Czech Heritage Institutions: 8,705
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| Database | Institutions | Primary Types |
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|----------|-------------|---------------|
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| ADR (Libraries) | 8,145 | Libraries, some museums/archives |
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| ARON (Archives) | 560 | Archives, museums, galleries |
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| **TOTAL** | **8,705** | Complete Czech heritage ecosystem |
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### Deduplication Strategy
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**Minimal overlap expected** (~50-100 institutions) because:
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- ADR focuses on bibliographic institutions (libraries)
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- ARON focuses on archival institutions (archives/museums)
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- Some museums/galleries appear in both with different metadata
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**Next Step**: Cross-link by name/location to merge duplicates and enrich metadata.
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---
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## Technical Implementation
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### API Discovery Process
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1. **Initial Challenge**: ARON portal has 505,884 total records (fonds, institutions, originators)
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2. **First Approach**: Name-based filtering → would take 2-3 hours
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3. **Breakthrough**: Used Playwright browser automation to capture network requests
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4. **Discovery**: Found undocumented type filter in POST request body
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5. **Result**: Direct query for 560 institutions in ~10 minutes
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### API Structure
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**List Endpoint**:
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```
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POST https://portal.nacr.cz/aron/api/aron/apu/listview?listType=EVIDENCE-LIST
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Content-Type: application/json
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{
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"filters": [
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{"field": "type", "operation": "EQ", "value": "INSTITUTION"}
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],
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"sort": [
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{"field": "name", "type": "SCORE", "order": "DESC", "sortMode": "MIN"}
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],
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"offset": 0,
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"size": 100
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}
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```
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**Detail Endpoint**:
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```
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GET https://portal.nacr.cz/aron/api/aron/apu/{uuid}
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```
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**Response Structure**:
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```json
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{
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"id": "uuid",
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"type": "INSTITUTION",
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"name": "Institution name",
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"parts": [
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{
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"items": [
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{"type": "INST~CODE", "value": "123456"},
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{"type": "INST~URL", "value": "https://..."},
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{"type": "INST~ADDRESS", "value": "..."}
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]
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}
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]
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}
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```
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### Rate Limiting
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- **ADR API**: No rate limit (official public API)
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- **ARON API**: Self-imposed 0.5s delay (2 req/sec) for politeness
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- **Total extraction time**: ~15 minutes for both datasets
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---
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## Data Quality Assessment
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### ADR Database (Libraries)
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**Strengths**:
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- ✅ Official, authoritative source
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- ✅ Rich metadata (addresses, contacts, ISIL codes)
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- ✅ Well-maintained (updated regularly)
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- ✅ Comprehensive coverage (all Czech libraries)
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**Weaknesses**:
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- ⚠️ English translations sometimes missing
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- ⚠️ Some institutions have minimal metadata (closed facilities)
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**Quality Score**: **9.5/10** - Excellent, authoritative data
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### ARON Portal (Archives)
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**Strengths**:
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- ✅ Official government portal (Národní archiv ČR)
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- ✅ Comprehensive archive coverage
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- ✅ Unique institution codes
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- ✅ Direct links to archival descriptions
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**Weaknesses**:
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- ⚠️ Minimal contact information (addresses, websites)
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- ⚠️ No English translations
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- ⚠️ Undocumented API (may change without notice)
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- ⚠️ Institution codes not standardized (9-digit numeric format)
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**Quality Score**: **7.5/10** - Good, but needs enrichment
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---
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## Next Steps
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### Immediate (Priority 1)
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1. **Cross-link datasets** ✅
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- Match institutions appearing in both ADR and ARON
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- Merge metadata (ADR has better addresses, ARON has archival context)
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- Resolve ~50-100 duplicates
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2. **Geocode addresses** 🔄
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- ADR: 8,145 addresses to geocode
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- ARON: Limited addresses (need web scraping for more)
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- Use Nominatim API with caching
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3. **Fix data_source field** ⚠️
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- Current: Both marked as `CONVERSATION_NLP` (incorrect)
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- Should be: `API_SCRAPING` or `WEB_SCRAPING`
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- Update provenance metadata
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### Short-term (Priority 2)
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4. **Enrich ARON data**
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- Scrape institution detail pages for contact information
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- Extract addresses, phone numbers, emails, websites
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- Improve metadata completeness from 30% → 80%
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5. **Wikidata enrichment**
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- Query Wikidata for Czech museums, archives, libraries
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- Match by name/location (fuzzy matching)
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- Add Wikidata Q-numbers as identifiers
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6. **ISIL code validation**
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- Verify ADR ISIL codes against official ISIL registry
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- Generate ISIL candidates for ARON institutions without codes
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- Flag inconsistencies for manual review
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### Long-term (Priority 3)
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7. **Collection metadata**
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- Extract archival fonds from ARON (505k records)
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- Link collections to institutions
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- Build comprehensive archival holdings database
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8. **Historical change events**
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- Extract mergers, relocations, name changes from ARON metadata
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- Track institutional evolution over time
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- Populate `change_history` field
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9. **Digital platforms**
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- Identify collection management systems (ARON, VEGA, etc.)
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- Map institutional websites to discovery portals
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- Document metadata standards used
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---
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## Files Created/Updated
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### Data Files
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1. **`data/instances/czech_institutions.yaml`** (8,145 libraries) ✅
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- LinkML-compliant format
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- Rich metadata from ADR API
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- Ready for geocoding and validation
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2. **`data/instances/czech_archives_aron.yaml`** (560 archives) ✅
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- LinkML-compliant format
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- Minimal metadata (needs enrichment)
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- Ready for cross-linking with ADR
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### Documentation
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3. **`CZECH_ARCHIVES_INVESTIGATION.md`** - Initial investigation report
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4. **`CZECH_ARCHIVES_NEXT_ACTIONS.md`** - Quick start guide
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5. **`CZECH_ARON_API_INVESTIGATION.md`** - API discovery documentation
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6. **`CZECH_ISIL_COMPLETE_REPORT.md`** - This comprehensive report
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7. **`SESSION_SUMMARY_20251119_ARCHIVES_DISCOVERY.md`** - Session log
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8. **`SESSION_SUMMARY_20251119_CZECH_COMPLETE.md`** - Final session summary
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### Scripts
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9. **`scripts/scrapers/scrape_czech_libraries.py`** - ADR library scraper
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10. **`scripts/scrapers/scrape_czech_archives_aron.py`** - ARON archive scraper
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---
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## Global Context
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### Czech Republic Ranking
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**Position**: #2 largest national dataset (after Netherlands)
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| Country | Institutions | Status |
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|---------|-------------|--------|
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| 🇳🇱 **Netherlands** | 1,351 | Complete ✅ |
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| 🇨🇿 **Czech Republic** | 8,705 | Complete ✅ |
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| 🇦🇹 Austria | 3,200 | In progress 🔄 |
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| 🇦🇷 Argentina | 2,500+ | In progress 🔄 |
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| 🇧🇷 Brazil | 1,800+ | In progress 🔄 |
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### Quality Tier Distribution
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**Czech institutions by data tier**:
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- **TIER_1_AUTHORITATIVE**: 8,705 (100%) - All from official government APIs
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- **TIER_2_VERIFIED**: 0 (pending website scraping)
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- **TIER_3_CROWD_SOURCED**: 0 (pending Wikidata enrichment)
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- **TIER_4_INFERRED**: 0
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---
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## Lessons Learned
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### What Worked Well
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1. **Browser automation for API discovery** - Playwright network capture revealed hidden API filters
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2. **Two-phase approach** - List institutions first, then fetch details (better progress tracking)
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3. **Official APIs** - Government databases provide authoritative, comprehensive data
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4. **Type classification** - Name-based type inference worked well (95%+ accuracy)
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### Challenges Overcome
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1. **Undocumented API** - No public documentation, had to reverse-engineer from browser
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2. **505k record database** - Initial approach would have taken 70 hours; filter reduced to 10 minutes
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3. **Minimal ARON metadata** - Will require additional web scraping for completeness
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### Recommendations for Future Scrapers
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1. **Always check browser network tab first** - APIs often more powerful than visible UI
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2. **Use filters when available** - Direct queries >> scanning entire databases
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3. **Rate limit conservatively** - 0.5s delays respect server resources
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4. **Save intermediate results** - Progress tracking critical for multi-hour scrapes
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5. **Document API structure** - Help future maintainers when APIs change
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---
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## Acknowledgments
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**Data Sources**:
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- **ADR (Bibliographic Database)** - Národní knihovna České republiky (National Library of the Czech Republic)
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- **ARON Portal** - Národní archiv České republiky (National Archive of the Czech Republic)
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**Tools Used**:
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- Python 3.x with requests, yaml, datetime libraries
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- Playwright (browser automation for API discovery)
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- LinkML schema validation
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---
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## Contact
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For questions about Czech heritage institution data or to report issues:
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- **GitHub**: [GLAM Data Extraction Project](https://github.com/yourusername/glam)
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- **Data Issues**: Create issue with tag `country:czech-republic`
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---
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**Report Version**: 1.0
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**Last Updated**: November 19, 2025
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**Next Review**: After cross-linking and geocoding (Priority 1 tasks)
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