# Recent PubMed reviews on semaglutide with author emails

**Use case:** 

Review articles about semaglutide and obesity published since 2025, from PubMed: title, abstract, journal, date, DOI, authors with affiliations and the corresponding author emails, keywords and MeSH terms.

## Input

```json
{
  "searchQueries": [
    "semaglutide obesity"
  ],
  "maxArticlesPerSearch": 50,
  "sortBy": "date",
  "dateFrom": "2025-01-01",
  "publicationTypes": [
    "Review"
  ],
  "onlyWithAuthorEmail": false
}
```

## Output

```json
{
  "pmid": {
    "label": "PMID"
  },
  "title": {
    "label": "Title"
  },
  "journal": {
    "label": "Journal"
  },
  "publicationDate": {
    "label": "Published",
    "format": "date"
  },
  "firstAuthor": {
    "label": "First author"
  },
  "authorEmails": {
    "label": "Author emails"
  },
  "doi": {
    "label": "DOI"
  },
  "url": {
    "label": "URL",
    "format": "link"
  },
  "search": {
    "label": "Search"
  },
  "error": {
    "label": "Error"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The PubMed Scraper — Articles, Abstracts, Authors & Emails Actor is ready to run with the inputs already set for "Recent PubMed reviews on semaglutide with author emails". [Sign up or log in](https://console.apify.com/create-task-from-example/Z6PqpRgEpDsXc6y3g) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Recent PubMed reviews on semaglutide with author emails" task

The PubMed Scraper — Articles, Abstracts, Authors & Emails Actor will start running based on the input automatically. You can also change all the input fields, like searches, max articles per search, and more, to match your specific use case.

### 3. Receive the "Recent PubMed reviews on semaglutide with author emails" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as PMID, title, journal, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Recent PubMed reviews on semaglutide with author emails" task via API](https://apify.com/jeffev/pubmed-scraper.md).

## About this Actor

This example demonstrates how to use [PubMed Scraper — Articles, Abstracts, Authors & Emails](https://apify.com/jeffev/pubmed-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/jeffev/pubmed-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/jeffev/pubmed-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).