๐Ÿงฌ PubMed Scraper - Biomedical Literature & Citations avatar

๐Ÿงฌ PubMed Scraper - Biomedical Literature & Citations

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๐Ÿงฌ PubMed Scraper - Biomedical Literature & Citations

๐Ÿงฌ PubMed Scraper - Biomedical Literature & Citations

PubMed Scraper for the official NCBI PubMed API. Search 37M+ biomedical citations; extract title, authors, journal, publication date, DOI, PMID, article type and links. Supports PubMed field tags and sorting. For systematic reviews, medical research and bibliometrics. Keyless and fast.

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๐Ÿงฌ PubMed Scraper โ€” Biomedical Literature & Citation Metadata as Clean Data

Extract biomedical citations from PubMed โ€” the U.S. National Library of Medicine's database of tens of millions of life-sciences articles โ€” as clean, structured records, powered by the official NCBI E-utilities API. Search any term like crispr or cancer immunotherapy, use PubMed field tags such as covid-19 AND vaccine[Title], and get titles, authors, journals, dates, DOIs, PMIDs, article types and links, no API key, proxy or browser required. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

๐Ÿงฌ What is the PubMed Scraper?

It turns any PubMed search into a structured dataset. Give it a search term (with optional PubMed field tags and sort order) and it returns every matching article with authors, journal, publication date, DOI, PMID and direct links โ€” flattened into clean rows so you can drop them straight into a systematic review, reference manager or clinical database. It runs the official two-step E-utilities flow (esearch to find PMIDs, esummary to fetch details), paginates in batches and waits between requests to respect NCBI's rate limits, so a request for hundreds or thousands of articles just works.

What data does it extract?

  • Identifiers โ€” pmid, doi, doi_url, pmc_id
  • Title โ€” the article title
  • Authors โ€” authors, author_count and last_author
  • Journal โ€” journal, journal_abbr and issn
  • Publication details โ€” pub_date, epub_date, volume, issue, pages
  • Type & language โ€” pub_type and language
  • Links โ€” url (PubMed page) and doi_url
  • Run metadata โ€” search_query and scraped_at

โฌ‡๏ธ Input

Search with a plain term or PubMed field tags, then choose a sort order:

FieldDescription
searchQueryPubMed search term; supports field tags, e.g. crispr, cancer immunotherapy, covid-19 AND vaccine[Title] (required)
sortByrelevance, newest (publication date) or most_recent
maxResultsCap the run (1โ€“10000)

Example input

{
"searchQuery": "crispr cas9 AND cancer[Title]",
"sortBy": "newest",
"maxResults": 100
}

โฌ†๏ธ Output

Every article is one clean row (view as a table, or export JSON / CSV / Excel):

{
"pmid": "42206706",
"title": "Non-Viral CRISPR carriers: transient gene delivery for cancer therapy",
"authors": ["Smith J", "Doe A", "Garcia M"],
"author_count": 3,
"last_author": "Garcia M",
"journal": "Drug Delivery",
"journal_abbr": "Drug Deliv",
"pub_date": "2026 Dec 31",
"epub_date": "2026 Nov 15",
"volume": "33",
"issue": "1",
"pages": "2614125",
"language": ["eng"],
"pub_type": ["Journal Article", "Review"],
"issn": "1071-7544",
"doi": "10.1080/10717544.2026.2614125",
"doi_url": "https://doi.org/10.1080/10717544.2026.2614125",
"pmc_id": "PMC10000000",
"url": "https://pubmed.ncbi.nlm.nih.gov/42206706/",
"search_query": "crispr cas9 AND cancer[Title]",
"scraped_at": "2026-06-26T15:30:00.000Z"
}

๐Ÿ’ก Use cases

  • ๐Ÿ”ฌ Systematic reviews: collect every citation for a research question, with PMIDs and DOIs ready for screening and reference managers.
  • ๐Ÿฉบ Literature monitoring: track new publications on a disease, drug or method by re-running a saved query on a schedule.
  • ๐Ÿ“Š Bibliometrics: analyse journals, authors, article types and publication trends across a field.
  • ๐Ÿ—‚๏ธ Clinical & research databases: enrich internal records with authoritative PubMed metadata and links.

โ“ FAQ

How do I search PubMed with this Actor? Enter a searchQuery, optionally choose a sortBy order, then Run. You get structured articles with title, authors, journal, publication date, DOI, PMID and links.

Can I use PubMed field tags and boolean operators? Yes. The searchQuery is passed straight to PubMed, so tags like [Title], [Author] or [MeSH Terms] and operators like AND, OR and NOT all work, for example cancer immunotherapy AND 2025[pdat].

Do I need an API key? No. The Actor uses the free, official NCBI PubMed E-utilities API with no key, login, proxy or browser. It waits between requests to stay within NCBI's limit of about 3 requests per second.

What database does it cover? PubMed, the U.S. National Library of Medicine's index of biomedical and life-sciences literature, including MEDLINE journal articles, reviews and more.

Can I sort by newest? Yes. Use sortBy: newest to order by publication date or sortBy: most_recent for the most recently added records; relevance uses PubMed's default ranking.

How many articles can it return? Up to your maxResults cap (1โ€“10000). It fetches results in batches and paginates automatically.

Do I get DOI and full-text links? Yes. Each record includes the pmid and PubMed url, plus a doi and doi_url, and a pmc_id for PubMed Central when one exists.

Why are some fields empty? PubMed does not record every detail for every article โ€” some entries lack a DOI, volume, issue or PMC ID. The Actor returns whatever the source provides. Note that PubMed metadata does not include full abstracts in this summary view.

Can I run it on a schedule or via API? Yes. Schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n to push results into your own tools.

Is scraping PubMed legal? The Actor uses the official NCBI E-utilities API, which is provided for programmatic access to public data. Use it responsibly, follow NCBI's usage policy and rate limits, and comply with applicable laws.

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Keywords: PubMed scraper, PubMed API, NCBI E-utilities, biomedical literature, medical research data, systematic review tool, citation metadata, PMID scraper, DOI scraper, life sciences papers, MEDLINE, journal articles, bibliometrics, clinical research data, literature monitoring.