# bioRxiv and medRxiv preprints on cryo-EM and GPCR

**Use case:** 

Example run of the bioRxiv & medRxiv Preprint Monitor. It searches bioRxiv preprints for the keywords cryo-EM or GPCR and returns the matching preprints with their metadata. Change the keywords, date range or server (bioRxiv or medRxiv), run it on a schedule, and export the results as JSON, CSV or Excel or call it through the API.

## Input

```json
{
  "server": "biorxiv",
  "keywords": [
    "cryo-EM",
    "GPCR"
  ],
  "keywordMode": "any",
  "maxResults": 200,
  "maxPagesToScan": 100,
  "timeBudgetSeconds": 240
}
```

## Output

```json
{
  "doi": {
    "label": "doi",
    "format": "text"
  },
  "version": {
    "label": "version",
    "format": "number"
  },
  "title": {
    "label": "title",
    "format": "text"
  },
  "category": {
    "label": "category",
    "format": "text"
  },
  "postedDate": {
    "label": "postedDate",
    "format": "text"
  },
  "publishedDoi": {
    "label": "publishedDoi",
    "format": "text"
  },
  "url": {
    "label": "url",
    "format": "link"
  }
}
```

## How it works

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

The bioRxiv & medRxiv Preprint Monitor Actor is ready to run with the inputs already set for "bioRxiv and medRxiv preprints on cryo-EM and GPCR". [Sign up or log in](https://console.apify.com/create-task-from-example/p6XJvoPyaUb97uarf) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "bioRxiv and medRxiv preprints on cryo-EM and GPCR" task

The bioRxiv & medRxiv Preprint Monitor Actor will start running based on the input automatically. You can also change all the input fields, like server, keywords, and more, to match your specific use case.

### 3. Receive the "bioRxiv and medRxiv preprints on cryo-EM and GPCR" 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 doi, version, title, 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 "bioRxiv and medRxiv preprints on cryo-EM and GPCR" task via API](https://apify.com/researchdata/biorxiv-preprint-monitor.md).

## About this Actor

This example demonstrates how to use [bioRxiv & medRxiv Preprint Monitor](https://apify.com/researchdata/biorxiv-preprint-monitor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/researchdata/biorxiv-preprint-monitor.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/researchdata/biorxiv-preprint-monitor.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`).