# New data science meetups in San Francisco

**Use case:** 

Returns each newly listed data science event near San Francisco once. With only-new switched on, the task remembers what earlier runs returned, so a daily schedule gives you just the events added since the last run. The first run returns the current matches.

## Input

```json
{
  "mode": "events",
  "location": "San Francisco, CA",
  "radiusMiles": 25,
  "keyword": "data science",
  "eventType": "any",
  "maxResults": 30,
  "onlyNew": true,
  "monitorKey": "sf-data-science"
}
```

## Output

```json
{
  "title": {
    "label": "Event",
    "format": "text"
  },
  "startAt": {
    "label": "Starts",
    "format": "date"
  },
  "eventType": {
    "label": "Type",
    "format": "text"
  },
  "venueName": {
    "label": "Venue",
    "format": "text"
  },
  "city": {
    "label": "City",
    "format": "text"
  },
  "groupName": {
    "label": "Group",
    "format": "text"
  },
  "rsvpCount": {
    "label": "Going",
    "format": "number"
  },
  "isFree": {
    "label": "Free",
    "format": "boolean"
  },
  "feeAmount": {
    "label": "Fee",
    "format": "number"
  },
  "feeCurrency": {
    "label": "Currency",
    "format": "text"
  },
  "url": {
    "label": "Event",
    "format": "link"
  }
}
```

## How it works

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

The Meetup Scraper: Events & Groups by Location and Keyword Actor is ready to run with the inputs already set for "New data science meetups in San Francisco". [Sign up or log in](https://console.apify.com/create-task-from-example/UWd98jesGZ82XNXu2) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "New data science meetups in San Francisco" task

The Meetup Scraper: Events & Groups by Location and Keyword Actor will start running based on the input automatically. You can also change all the input fields, like what to get, location, and more, to match your specific use case.

### 3. Receive the "New data science meetups in San Francisco" 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 event, starts, type, 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 "New data science meetups in San Francisco" task via API](https://apify.com/localwire/meetup-events.md).

## FAQ

### What does the "New data science meetups in San Francisco" task return?

The "New data science meetups in San Francisco" task returns one record per event: title, start time, event type, venue, city, group name, RSVP count, fee and event link. No member or attendee data.

### Am I charged again for events the San Francisco monitor returned?

No. The new data science meetups in San Francisco task returns, and charges for, only events that earlier runs of the same search have not returned.

### How do I run the "New data science meetups in San Francisco" task on a schedule or from code?

Copy the "New data science meetups in San Francisco" task to your Apify account, then add a schedule in Apify Console or start it with the Run task API endpoint. Results download as JSON, CSV or Excel.

## About this Actor

This example demonstrates how to use [Meetup Scraper: Events & Groups by Location and Keyword](https://apify.com/localwire/meetup-events.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/localwire/meetup-events.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/localwire/meetup-events.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`).