# Medical Conference Proceedings — Abstract Mining API (`azureblue/medical-conference-scraper`) Actor

Search medical conference proceedings via Europe PMC. Returns title, authors, conference, abstract, DOI and publication date.

- **URL**: https://apify.com/azureblue/medical-conference-scraper.md
- **Developed by:** [azureblue](https://apify.com/azureblue) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $14.00 / 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

## Medical Conference Proceedings Scraper

Search peer-reviewed medical conference papers indexed in [Europe PMC](https://europepmc.org/). Returns title, authors, conference name, abstract, DOI and publication date. Covers 2,500+ medical conferences indexed in PubMed/MEDLINE. No API key required.

### Features

- Europe PMC `PUB_TYPE:"conference proceedings"` filter
- Optional date filter (from YYYY-MM-DD)
- Cursor-based pagination — up to 10,000 papers per run
- Extracts conference/publisher name where available
- Full abstract text
- Same reliable API infrastructure as the Cochrane and BMJ scrapers

### Input

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `searchTerm` | string | ✅ | — | Topic, e.g. `diabetes` or `immunotherapy cancer` |
| `dateFrom` | string | | — | Only include papers from this year onward (YYYY-MM-DD) |
| `maxResults` | integer | | 50 | Max papers (1–10,000) |

### Output

```json
{
  "title": "Effects of alcohol use on the gut, inflammation, and organ injury",
  "authors": "Maccioni F, Tarullo A, Bonsignori M, ...",
  "conference": "Annual Meeting of the Italian Society of Medical Radiology",
  "doi": "10.1007/s11547-026-01234-5",
  "publicationDate": "2026-01-15",
  "pubTypes": ["conference proceedings"],
  "abstract": "Background: Heavy alcohol use is associated with significant morbidity...",
  "pmid": "38123456",
  "url": "https://doi.org/10.1007/s11547-026-01234-5"
}
```

### Use Cases

#### 1. Conference Intelligence for Pharma

A pharmaceutical medical affairs team scrapes conference proceedings for `GLP-1 receptor agonist` from the last 3 years — tracking which data was first presented at which conferences before full publication, for competitive intelligence.

#### 2. Poster Abstract Mining

A CRO (Contract Research Organization) building a clinical evidence database scrapes conference abstracts on `CRISPR gene therapy` — using the early-stage data as signals for pipeline monitoring before full papers appear.

#### 3. Academic Career Planning

A medical researcher planning to submit to conferences scrapes `robotic surgery` conference papers from the last 2 years to identify which venues publish in their specialty area and what topics are trending.

### Data Source

[Europe PMC REST API](https://europepmc.org/RestfulWebService) — covers PubMed, PubMed Central, and additional sources. Conference proceedings indexed in MEDLINE.

### Pricing

Pay-per-result. 200 conference papers ≈ $1.00.

# Actor input Schema

## `searchTerm` (type: `string`):

Topic to search in medical conference proceedings. Example: 'diabetes' or 'immunotherapy cancer'.

## `dateFrom` (type: `string`):

Only include conference papers published on or after this date.

## `maxResults` (type: `integer`):

Maximum number of conference papers (1–10,000).

## Actor input object example

```json
{
  "searchTerm": "diabetes",
  "dateFrom": "2020-01-01",
  "maxResults": 50
}
```

# Actor output Schema

## `dataset` (type: `string`):

Open the run's default dataset to view, filter and export the scraped items.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchTerm": "immunotherapy"
};

// Run the Actor and wait for it to finish
const run = await client.actor("azureblue/medical-conference-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "searchTerm": "immunotherapy" }

# Run the Actor and wait for it to finish
run = client.actor("azureblue/medical-conference-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 '{
  "searchTerm": "immunotherapy"
}' |
apify call azureblue/medical-conference-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=azureblue/medical-conference-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/wJCnSpAULsfLGODXK/builds/TKU45e4DPqWYJIGXa/openapi.json