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基于 SOC 职业分类
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| name | zotero-scholar-guide |
| description | Save papers with metadata to Zotero via its API programmatically |
| metadata | {"openclaw":{"emoji":"📚","category":"writing","subcategory":"citation","keywords":["zotero","reference manager","citation management","API","metadata","bibliography","paper organization"],"source":"https://github.com/zotero/zotero"}} |
Zotero is the most widely used open-source reference manager in academia, offering a powerful combination of local storage, cloud sync, browser integration, and a comprehensive API. While most researchers use Zotero through its desktop application and browser connector, the Zotero API enables programmatic access that is essential for automated research workflows—saving papers from scripts, batch-importing search results, organizing libraries algorithmically, and integrating reference management into custom research pipelines.
This skill covers using the Zotero Web API to create, read, update, and organize library items programmatically. It is designed for researchers who want to automate parts of their reference management workflow: importing papers from arXiv or OpenAlex searches directly into Zotero, auto-tagging papers based on content analysis, organizing collections programmatically, and exporting citations in various formats.
The skill complements the existing zotero-api skill by focusing specifically on practical scholar workflows—the common patterns a researcher uses when integrating Zotero into their daily literature management.
# Store your credentials as environment variables
export ZOTERO_API_KEY=your-zotero-key # from zotero.org/settings/keys
export ZOTERO_USER_ID="your_user_id" # Found on the API keys page
# Verify API access
curl -H "Zotero-API-Key: $ZOTERO_API_KEY" \
"https://api.zotero.org/users/$ZOTERO_USER_ID/items?limit=5&format=json" \
| python3 -m json.tool | head -20
If you see your recent library items, authentication is working correctly.
The simplest way to add a well-cataloged paper is by DOI. Zotero can resolve DOI metadata automatically:
import requests
import os
API_KEY = os.environ["ZOTERO_API_KEY"]
USER_ID = os.environ["ZOTERO_USER_ID"]
BASE_URL = f"https://api.zotero.org/users/{USER_ID}"
HEADERS = {
"Zotero-API-Key": API_KEY,
"Content-Type": "application/json"
}
def add_paper_by_doi(doi):
"""Resolve DOI metadata and add to Zotero."""
# Step 1: Get metadata from DOI via Crossref
cr_resp = requests.get(
f"https://api.crossref.org/works/{doi}",
headers={"User-Agent": "ResearchClaw/1.0 (mailto:you@example.edu)"}
)
cr_data = cr_resp.json()["message"]
# Step 2: Build Zotero item
item = {
"itemType": "journalArticle",
"title": cr_data.get("title", [""])[0],
"creators": [
{"creatorType": "author", "firstName": a.get("given", ""),
"lastName": a.get("family", "")}
for a in cr_data.get("author", [])
],
"abstractNote": cr_data.get("abstract", ""),
"DOI": doi,
"url": f"https://doi.org/{doi}",
"date": cr_data.get(, {}).get(, [[]])[][],
: cr_data.get(, [])[],
: cr_data.get(, ),
: cr_data.get(, ),
: cr_data.get(, ),
: [{: }]
}
resp = requests.post(
,
headers=HEADERS,
json=[item]
)
resp.status_code == :
()
resp.json()
:
()
add_paper_by_doi()
arXiv papers often lack DOIs. Use the arXiv API to fetch metadata:
import feedparser
def add_arxiv_paper(arxiv_id):
"""Fetch arXiv metadata and add to Zotero."""
feed = feedparser.parse(
f"http://export.arxiv.org/api/query?id_list={arxiv_id}"
)
entry = feed.entries[0]
item = {
"itemType": "preprint",
"title": entry.title.replace("\n", " "),
"creators": [
{"creatorType": "author",
"firstName": name.rsplit(" ", 1)[0] if " " in name else "",
"lastName": name.rsplit(" ", 1)[-1]}
for name in [a.name for a in entry.authors]
],
"abstractNote": entry.summary.replace("\n", " "),
"url": entry.link,
"date": entry.published[:10],
"repository": "arXiv",
"archiveID": f"arXiv:{arxiv_id}",
"tags": [
{"tag": "arxiv"},
{"tag": entry.arxiv_primary_category["term"]}
]
}
resp = requests.post(
,
headers=HEADERS,
json=[item]
)
resp.status_code == :
()
resp
add_arxiv_paper()
When you run a literature search and want to import all results into Zotero:
def batch_import(papers, collection_key=None):
"""Import a list of paper dicts into Zotero.
Zotero API accepts up to 50 items per request.
"""
batch_size = 50
for i in range(0, len(papers), batch_size):
batch = papers[i:i + batch_size]
items = [build_zotero_item(p) for p in batch]
# Add to specific collection if provided
if collection_key:
for item in items:
item["collections"] = [collection_key]
resp = requests.post(
f"{BASE_URL}/items",
headers=HEADERS,
json=items
)
print(f"Batch {i//batch_size + 1}: {resp.status_code}")
def create_collection(name, parent_key=None):
"""Create a new Zotero collection."""
collection = {
"name": name,
"parentCollection": parent_key or False
}
resp = requests.post(
f"{BASE_URL}/collections",
headers=HEADERS,
json=[collection]
)
if resp.status_code == 200:
key = resp.json()["successful"]["0"]["key"]
print(f"Created collection '{name}' with key: {key}")
return key
return None
# Create a hierarchical structure
lit_review = create_collection("Literature Review 2026")
methods = create_collection("Methods Papers", parent_key=lit_review)
results = create_collection("Results Papers", parent_key=lit_review)
def auto_tag_items(keyword_map):
"""Tag existing items based on abstract content.
keyword_map: dict of {tag: [keywords]}
"""
# Fetch all items
items = requests.get(
f"{BASE_URL}/items?limit=100&format=json",
headers=HEADERS
).json()
for item in items:
abstract = item["data"].get("abstractNote", "").lower()
new_tags = list(item["data"].get("tags", []))
existing_tag_names = {t["tag"] for t in new_tags}
for tag, keywords in keyword_map.items():
if tag not in existing_tag_names:
if any(kw.lower() in abstract for kw in keywords):
new_tags.append({"tag": tag})
if len(new_tags) > len(item["data"].get("tags", [])):
requests.patch(
f"{BASE_URL}/items/{item['key']}",
headers={**HEADERS, "If-Unmodified-Since-Version": str(item["version"])},
json={"tags": new_tags}
)
# Usage
auto_tag_items({
"deep-learning": ["deep learning", , , ],
: [, , ],
: [, , ]
})
# Export entire library as BibTeX
curl -H "Zotero-API-Key: $ZOTERO_API_KEY" \
"https://api.zotero.org/users/$ZOTERO_USER_ID/items?format=bibtex&limit=100" \
> library.bib
# Export a specific collection as CSL-JSON
curl -H "Zotero-API-Key: $ZOTERO_API_KEY" \
"https://api.zotero.org/users/$ZOTERO_USER_ID/collections/ABCD1234/items?format=csljson" \
> collection.json
# Export as RIS (for import into other tools)
curl -H "Zotero-API-Key: $ZOTERO_API_KEY" \
"https://api.zotero.org/users/$ZOTERO_USER_ID/items?format=ris&limit=100" \
> library.ris
# Generate formatted bibliography in APA style
curl -H "Zotero-API-Key: $ZOTERO_API_KEY" \
-H "Content-Type: application/json" \
"https://api.zotero.org/users/$ZOTERO_USER_ID/items?format=bib&style=apa&limit=50"