Open Library API

# Full-text search
curl "https://openlibrary.org/search.json?q=machine+learning&limit=20"

# Search by title
curl "https://openlibrary.org/search.json?title=deep+learning&limit=10"

# Search by author
curl "https://openlibrary.org/search.json?author=goodfellow&title=deep+learning"

# Filter by subject
curl "https://openlibrary.org/search.json?q=statistics&subject=data+analysis"

# Filter by publication year
curl "https://openlibrary.org/search.json?q=artificial+intelligence&first_publish_year=2020"

# Sort by edition count
curl "https://openlibrary.org/search.json?q=calculus&sort=editions"

# Get work (canonical book entity)
curl "https://openlibrary.org/works/OL45804W.json"

# Get edition
curl "https://openlibrary.org/books/OL7353617M.json"

# Get by ISBN
curl "https://openlibrary.org/isbn/9780262035613.json"

# Bibliographic data via Books API
curl "https://openlibrary.org/api/books?bibkeys=ISBN:9780262035613&format=json&jscmd=data"

# By ISBN (S/M/L sizes)
https://covers.openlibrary.org/b/isbn/9780262035613-M.jpg

# By OLID
https://covers.openlibrary.org/b/olid/OL7353617M-L.jpg

# Get author
curl "https://openlibrary.org/authors/OL34184A.json"

# Search authors
curl "https://openlibrary.org/search/authors.json?q=hinton"

# Author's works
curl "https://openlibrary.org/authors/OL34184A/works.json?limit=20"

{
  "numFound": 1250,
  "docs": [
    {
      "key": "/works/OL45804W",
      "title": "Deep Learning",
      "author_name": ["Ian Goodfellow", "Yoshua Bengio", "Aaron Courville"],
      "first_publish_year": 2016,
      "isbn": ["9780262035613"],
      "publisher": ["MIT Press"],
      "subject": ["Machine learning", "Neural networks"],
      "edition_count": 8,
      "cover_i": 8739161,
      "ebook_access": "borrowable"
    }
  ]
}

import requests

BASE_URL = "https://openlibrary.org"


def search_books(query: str, limit: int = 20,
                 subject: str = None) -> list:
    """Search Open Library for books."""
    params = {"q": query, "limit": limit}
    if subject:
        params["subject"] = subject

    resp = requests.get(f"{BASE_URL}/search.json", params=params)
    resp.raise_for_status()
    data = resp.json()

    results = []
    for doc in data.get("docs", []):
        results.append({
            "key": doc.get("key"),
            "title": doc.get("title"),
            "authors": doc.get("author_name", []),
            "year": doc.get("first_publish_year"),
            "publisher": doc.get("publisher", [None])[0],
            "isbn": doc.get("isbn", [None])[0],
            "editions": doc.get("edition_count", 0),
            "subjects": doc.get("subject", [])[:5],
            "ebook": doc.get("ebook_access"),
        })
    return results


def get_by_isbn(isbn: str) -> dict:
    """Look up a book by ISBN."""
    resp = requests.get(
        f"{BASE_URL}/api/books",
        params={
            "bibkeys": f"ISBN:{isbn}",
            "format": "json",
            "jscmd": "data",
        },
    )
    resp.raise_for_status()
    data = resp.json()
    return data.get(f"ISBN:{isbn}", {})


def get_author_works(author_key: str, limit: int = 20) -> list:
    """Get works by an author."""
    resp = requests.get(
        f"{BASE_URL}/authors/{author_key}/works.json",
        params={"limit": limit},
    )
    resp.raise_for_status()
    return resp.json().get("entries", [])


# Example: search CS textbooks
books = search_books("algorithms data structures",
                     subject="computer science")
for b in books[:5]:
    print(f"[{b['year']}] {b['title']} — {', '.join(b['authors'][:2])}")
    print(f"  Publisher: {b['publisher']} | Editions: {b['editions']}")

# Example: ISBN lookup
info = get_by_isbn("9780262035613")
print(f"Title: {info.get('title')}")
print(f"URL: {info.get('url')}")