Agent skill
loc-catalog
Search the Library of Congress digital collections via the loc.gov JSON API. Use this skill whenever the user wants to search LOC's digitized books, photos, maps, manuscripts, newspapers, audio, or film/video, look up items by LCCN, browse LOC collections, find primary sources with date range filters, or retrieve citations and download links for LOC materials. Also triggers when cross-referencing items found in other library catalogs against LOC holdings.
Install this agent skill to your Project
npx add-skill https://github.com/kltng/humanities-skills/tree/main/loc-catalog
SKILL.md
Library of Congress API Skill
Search and retrieve items from LOC's digitized collections — books, photos, maps, manuscripts, newspapers, audio, and more.
Critical: Things Claude Won't Know Without This Skill
This API covers digitized collections, NOT the full library catalog
The loc.gov JSON API searches LOC's digitized and online collections — not the full OPAC. By default, only digitized items are returned. Add all=true to include non-digitized catalog records.
JSON requires fo=json parameter, NOT a URL extension
Unlike LibraryCloud (.json extension), LOC uses a query parameter:
CORRECT: https://www.loc.gov/search/?q=hamlet&fo=json
WRONG: https://www.loc.gov/search.json?q=hamlet
Facet filters use fa= with pipe separators
Single: ?fa=subject:physics
Multiple: ?fa=subject:wildlife|location:yellowstone
Available facet fields: subject, contributor, location, language, original-format, online-format, partof, digitized, access-restricted.
Format-specific endpoints are shortcuts
/books/, /photos/, /maps/, /audio/, /newspapers/, /manuscripts/, /film-and-videos/, /notated-music/ all accept the same params as /search/.
Key Search Parameters
| Param | Description | Example |
|---|---|---|
q |
Keyword search | q=hamlet+shakespeare |
fa |
Facet filter | fa=subject:physics|language:english |
dates |
Date range (YYYY/YYYY) | dates=1920/1940 |
c |
Results per page (25, 50, 100, 150) | c=50 |
sp |
Page number (starts at 1) | sp=2 |
sb |
Sort: date, date_desc, title_s, title_s_desc |
sb=date_desc |
all |
Include non-digitized (true/false) |
all=true |
at |
Select attributes (comma-sep) | at=item,resources |
fo |
Format: json or yaml |
fo=json |
Item Lookup by LCCN/ID
https://www.loc.gov/item/{LCCN}/?fo=json
Returns full item detail including cite_this (APA/Chicago/MLA citations), resources (download links), other_formats (MARCXML, MODS, Dublin Core).
Response Structure
Search Results
{
"results": [
{
"id": "http://www.loc.gov/item/95521789/",
"title": "Item title",
"date": "1796-01-01",
"contributor": ["Name"],
"subject": ["Subject term"],
"language": ["English"],
"original_format": ["book"],
"description": ["..."],
"image_url": ["//tile.loc.gov/..."],
"digitized": true,
"number_lccn": ["95521789"]
}
],
"pagination": {
"of": 85604,
"total": 17121,
"perpage": 5,
"current": 1
},
"facets": { ... }
}
Item Detail
The item object adds: call_number, created_published, rights, summary, stmt_of_responsibility, genre, and cite_this with pre-formatted citations.
Python Script
from scripts.loc_api import LocAPI
loc = LocAPI()
# Keyword search
results = loc.search("hamlet shakespeare", limit=10)
# Format-specific
photos = loc.search("civil war", format="photos", dates="1860/1865")
# Faceted search
results = loc.search("wildlife", facets={"subject": "birds", "location": "yellowstone"})
# Item lookup
item = loc.get_item("95521789")
citation = loc.get_citation(item, style="apa")
# Browse collections
collections = loc.list_collections()
items = loc.browse_collection("civil-war-maps", limit=20)
# Summarize
for r in results[:5]:
print(loc.summarize(r))
Pagination
- Max 150 results per page (
c=150) - Hard limit: cannot paginate past 100,000th result
- Use facets/date ranges to narrow large result sets
API Etiquette
- No authentication required
- Rate limiting is enforced (exact limits unpublished) — add 0.5-1s between requests
- Include a User-Agent header
Related Skills
- harvard-library-catalog: Cross-reference Harvard holdings with LOC items
- hathitrust-catalog: Use LCCNs from LOC to check HathiTrust for digital full-text
- wikidata-search: LOC authority IDs (P244) link Wikidata entities to LOC records
Resources
references/api_reference.md— Complete parameter and response field referencescripts/loc_api.py— Python client with search, item lookup, collection browsing, and citation extraction
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