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Europe PMC Has a Free API — Search 40M+ Biomedical Papers With Full Text

PubMed is great, but it only gives you abstracts. What if you need the full text? Europe PMC has 40M+ biomedical papers and 8M+ full-text articles available…

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PubMed is great, but it only gives you abstracts. What if you need the full text?



Europe PMC has 40M+ biomedical papers and 8M+ full-text articles available through a free API. No key required.






What Is Europe PMC?



Europe PMC is the European mirror of PubMed Central, but better:





  • 40M+ articles (more than PubMed's 36M)


  • 8M+ full-text papers (not just abstracts)


  • Preprints from bioRxiv and medRxiv included


  • No API key needed


  • No rate limits for reasonable use






Quick Start






import requests

# Search for papers
response = requests.get("https://www.ebi.ac.uk/europepmc/webservices/rest/search", params={
"query": "CRISPR gene therapy clinical trials",
"resultType": "core",
"pageSize": 5,
"format": "json"
})

for paper in response.json()["resultList"]["result"]:
print(f"[{paper.get('pubYear', 'N/A')}] {paper['title']}")
print(f" Journal: {paper.get('journalTitle', 'N/A')}")
print(f" Cited by: {paper.get('citedByCount', 0)}")
print(f" Full text: {'Yes' if paper.get('isOpenAccess') == 'Y' else 'No'}")
print()









Get Full Text of a Paper






# Get full text XML for a PMC article
pmcid = "PMC7610813" # Example
resp = requests.get(f"https://www.ebi.ac.uk/europepmc/webservices/rest/{pmcid}/fullTextXML")
if resp.status_code == 200:
print(f"Full text length: {len(resp.text):,} characters")
# Parse with xml.etree or BeautifulSoup









Search by Author or Affiliation






# Papers by a specific author
response = requests.get("https://www.ebi.ac.uk/europepmc/webservices/rest/search", params={
"query": 'AUTH:"Jennifer Doudna" AND CRISPR',
"resultType": "core",
"pageSize": 5,
"format": "json"
})

for p in response.json()["resultList"]["result"]:
print(f"[{p.get('pubYear')}] {p['title'][:70]}")
print(f" Cited: {p.get('citedByCount', 0):,}")









Citation Network






# Get papers that cite a specific paper
pmid = "26544986" # Example PMID
resp = requests.get(f"https://www.ebi.ac.uk/europepmc/webservices/rest/MED/{pmid}/citations", params={
"page": 1,
"pageSize": 5,
"format": "json"
})

data = resp.json()
print(f"Total citations: {data.get('hitCount', 0)}")
for c in data.get("citationList", {}).get("citation", []):
print(f" [{c.get('pubYear')}] {c.get('title', 'N/A')[:60]}")









Europe PMC vs PubMed vs CORE


















































Feature Europe PMC PubMed CORE OpenAlex
Papers 40M+ 36M+ 260M+ 250M+
Full text 8M+ PMC only 36M+ Links
API key No No Yes (free) No
Preprints Yes Limited Yes Yes
Citations Yes No No Yes





Use Cases





  1. Systematic reviews with full text


  2. Drug research monitoring


  3. Clinical trial tracking


  4. Citation network analysis


  5. Text mining on biomedical literature






The complete free research API stack: OpenAlex | CORE | Crossref | Unpaywall | Semantic Scholar



What biomedical APIs do you use? Let me know in the comments.



More tools: GitHub

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