PubMed Literature Search
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from $1.00 / 1,000 dataset items
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PubMed Literature Search
Keyless biomedical literature search over PubMed (NCBI E-utilities, no API key). Filter by recency. Output: one JSON item per paper (title, journal, pubdate, PMID, PubMed URL, first authors).
Pricing
from $1.00 / 1,000 dataset items
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jedi solana
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Keyless biomedical literature search over PubMed (NCBI E-utilities, no API key). Filter by recency. Output: one JSON item per paper (title, journal, pubdate, PMID, PubMed URL, first authors).
What you get
Every run writes a dataset with one row per record:
{"rank": 1,"pmid": "42691481","doi": "10.1021/acssensors.6c01512","title": "Development of a Colorimetric and Raman Dual-Mode Biosensor for Point-of-Care Bacterial Detection Based on CRISPR/dCas9-Mediated Self-Assembly.","journal": "ACS sensors","journalAbbr": "ACS Sens","pubdate": "2026 9 03","authors": ["Ni Qun","Jiao Jingran","Jiao Ruibao","Luo Caijie","Ye Junfeng","Pan Kai","Hang Xiubing","Yao Li","Wu Guolin","Zhao Qihong","Bo Qingli","Qin Panzhu"],"n_authors": 12,"abstract": "Timely and reliable identification of bacterial infections in emergency settings remains a major challenge. To address this challenge, here we utilized CRISPR/dCas9-mediated self-assembly to develop a colorimetric and Raman dual-mode biosensor (referred to as dCARD) and applied it to point-of-care bacterial detection. Briefly, dCARD utilized the CRISPR/dCas9-mediated precise recognition of target ","citedBy": null,"url": "https://pubmed.ncbi.nlm.nih.gov/42691481/","scores": {"recency": 40,"journalRankProxy": 0,"termCoverage": 20},"relevanceRecencyScore": 60,"isNew": true,"newSin
Input
{"query": "CRISPR","limit": 10,"sort": "date"}
| Field | Type | Description |
|---|---|---|
query | string | Query: the query parameter. Default: "CRISPR". |
limit | integer | Limit: the limit parameter. Default: 10. |
sort | string | Sort: the sort parameter. Default: "date". |
Use cases
- Monitor on a schedule — run this Actor on a timer and get a fresh, normalized snapshot every time; diff the datasets to see what changed.
- Feed a dashboard or model — clean, one-JSON-item-per-record output is ready to pipe into a spreadsheet, database, or LLM prompt without any post-processing.
- Research & due diligence — pull a structured set of records for a topic, name, or window without scraping the public source by hand.
Limits & notes
- No API key, no login: it only reads public endpoints/feeds. If the upstream source is degraded, the run still succeeds and returns an honest status item instead of failing.
- Results reflect what the public source returned at run time (top-N windows, newest-first where applicable).
- Pay-per-event via synthetic events: each default-dataset item is billed through
apify-default-dataset-item($0.001 per item), plusapify-actor-start. - Free to try on the free plan; PPE pricing applies to paid-plan users.
Categories
EDUCATION, OTHER