# PubMed Articles Scraper (`scrapers_lat/pubmed-scraper`) Actor
Scrape biomedical articles with title, authors, journal, publication date, DOI and a direct link. Search by keyword. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/pubmed-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $6.80 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## PubMed Articles Scraper
> Search and export biomedical literature as clean structured data: title, authors, full abstract, MeSH terms, keywords, author affiliations, corresponding-author email, funding agencies, journal, publication date, DOI, PMC free full-text link and a direct link.
**📥 [Input](https://apify.com/scrapers_lat/pubmed-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/pubmed-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/pubmed-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/pubmed-scraper/examples)**
Full abstract & MeSH keywords & substances
Affiliations & email corresponding author
Journal, DOI & PMC free full-text link
JSON / CSV / Excel output formats
**Why teams choose this scraper:** it returns the fields most PubMed exports leave out. Every record carries the complete abstract, MeSH headings, author keywords, chemical/substance names, each author affiliation, the corresponding-author email where the journal lists one, funding-agency names, ISSN, language and the PMC free full-text URL, on top of the standard title, authors, journal, publication date, DOI and PMID.
### Who is it for
| Use case | Who benefits |
|---|---|
| Medical research | Researchers gathering articles by topic |
| Systematic reviews | Teams building screening sets by keyword |
| Pharma intelligence | Analysts tracking literature on drugs and diseases |
| Reference tools | Builders enriching records with PMIDs and DOIs |
### How to use it
1. Enter a **search query** (a disease, drug, method or author).
2. Set **Max Items** and run.
3. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**What can I search for?**
Any biomedical topic, disease, drug, method or author. A query like `covid vaccine efficacy` returns the most relevant matching articles.
**Do records include the DOI?**
Yes, where a DOI is available. Each record also includes the PMID, journal, publication date and a direct link.
**Do I get the abstract and MeSH terms?**
Yes. Every record includes the full abstract (with section labels preserved), MeSH headings, author keywords and chemical/substance names where the article provides them.
**Can I get author affiliations and a contact email?**
Yes. Each record lists the author affiliations and, where the journal publishes it, the corresponding-author email, so you can reach authors or map research to institutions.
**Can I read the full paper?**
Where an open-access version exists, the record includes a PMC free full-text link (fullTextUrl) alongside the PMC ID.
**Can I export thousands of articles?**
Yes. Set Max Items as high as you need and the scraper pages through the results for you.
**How fresh is the data?**
Records are read live at run time, so each reflects the index at the moment of the run (see observedAt).
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Scrape PubMed Articles for Covid Vaccine](https://apify.com/scrapers_lat/pubmed-scraper/examples/pubmed-covid-vaccine): Collect PubMed biomedical articles on covid vaccine with title, authors, journal, date and DOI for medical research.
- [Scrape PubMed Articles for Alzheimer Treatment](https://apify.com/scrapers_lat/pubmed-scraper/examples/pubmed-alzheimer-treatment): Collect PubMed biomedical articles on alzheimer treatment with title, authors, journal, date and DOI for medical research.
- [Scrape PubMed Articles for Type 2 Diabetes](https://apify.com/scrapers_lat/pubmed-scraper/examples/pubmed-type-2-diabetes): Collect PubMed biomedical articles on type 2 diabetes with title, authors, journal, date and DOI for medical research.
- [Scrape PubMed Articles for Crispr](https://apify.com/scrapers_lat/pubmed-scraper/examples/pubmed-crispr): Collect PubMed biomedical articles on crispr with title, authors, journal, date and DOI for medical research.
- [Scrape PubMed Articles for Cancer Immunotherapy](https://apify.com/scrapers_lat/pubmed-scraper/examples/pubmed-cancer-immunotherapy): Collect PubMed biomedical articles on cancer immunotherapy with title, authors, journal, date and DOI for medical research.
- [Scrape PubMed Articles for Gut Microbiome](https://apify.com/scrapers_lat/pubmed-scraper/examples/pubmed-gut-microbiome): Collect PubMed biomedical articles on gut microbiome with title, authors, journal, date and DOI for medical research.
- [Scrape PubMed Articles for Statins](https://apify.com/scrapers_lat/pubmed-scraper/examples/pubmed-statins): Collect PubMed biomedical articles on statins with title, authors, journal, date and DOI for medical research.
- [Scrape PubMed Articles for Obesity](https://apify.com/scrapers_lat/pubmed-scraper/examples/pubmed-obesity): Collect PubMed biomedical articles on obesity with title, authors, journal, date and DOI for medical research.
- [Scrape PubMed Articles for Depression](https://apify.com/scrapers_lat/pubmed-scraper/examples/pubmed-depression): Collect PubMed biomedical articles on depression with title, authors, journal, date and DOI for medical research.
- [Scrape PubMed Articles for Antibiotic Resistance](https://apify.com/scrapers_lat/pubmed-scraper/examples/pubmed-antibiotic-resistance): Collect PubMed biomedical articles on antibiotic resistance with title, authors, journal, date and DOI for medical research.
### Related scrapers
- [Clinical Trials Scraper](https://apify.com/scrapers_lat/clinicaltrials-scraper)
- [OpenAlex Scholarly Works Scraper](https://apify.com/scrapers_lat/openalex-scraper)
- [Crossref Scholarly Metadata Scraper](https://apify.com/scrapers_lat/crossref-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
***
> This actor is an independent tool and has no affiliation with PubMed or the NLM. It only accesses publicly available data. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxArticles` (type: `integer`):
Maximum number of PubMed articles to collect. Optional.
## `searchQuery` (type: `string`):
Keyword to search biomedical articles by topic, disease, drug or author (for example 'covid vaccine efficacy', 'alzheimer biomarkers').
## Actor input object example
```json
{
"maxArticles": 50,
"searchQuery": "covid vaccine efficacy"
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxArticles": 50,
"searchQuery": "covid vaccine efficacy"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/pubmed-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxArticles": 50,
"searchQuery": "covid vaccine efficacy",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/pubmed-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxArticles": 50,
"searchQuery": "covid vaccine efficacy"
}' |
apify call scrapers_lat/pubmed-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/pubmed-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/acts/4SsGME6tqYieuG96q/builds/xXuU3zTIZLvC30sPe/openapi.json